Summary
Overview
Work History
Education
Skills
Certification
Occupation
Street
Personal Information
Nationality
Languages
Publications
References
Accomplishments
Affiliations
Additional Information
Software
Interests
Hobbies
Work Availability
Work Preference
Websites
Timeline
Ammar Amjad

Ammar Amjad

Postdoctoral Researcher, AI Engineer, Teacher
Kaohsiung

Summary

Research Interest Signal processing Natural language processing Image processing Artificial intelligence Machine learning Deep learning Reinforcement learning I am passionate about exploring innovative approaches to solve complex problems in these fields and contributing to the advancement of scientific research. Hardworking Postdoctoral Research Fellow with demonstrated record of research success in. Self-directed and motivated professional with highly-ethical, meticulous and thorough approach. . Dedicated professional skillful in sample collection, data recording and instrument calibration. Resourceful and adaptable individual with extensive experience developing and conducting experiments to document results for studies. Comfortable handling complex issues, meeting strict deadlines and adjusting to rapidly changing conditions. Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals. Results-oriented achiever with proven ability to exceed targets and drive success in fast-paced environments. Combines strategic thinking with hands-on experience to deliver impactful solutions and enhance organizational performance. Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. Pursuing full-time role that presents professional challenges and leverages interpersonal skills, effective time management, and problem-solving expertise. Thorough team contributor with strong organizational capabilities. Experienced in handling numerous projects at once while ensuring accuracy. Effective at prioritizing tasks and meeting deadlines. Innovative Artificial Intelligence Engineer possessing strong mathematical skills and detailed knowledge of machine learning evaluation metrics and best practices. Offering 5 years of experience creating programs and algorithms to enable machines to take actions without being directed. Expertise in predictive analysis, data mining and computational statistics. Logical and detailed professional with exceptional Python coding and typed language skills such as Java and C++. Experienced Web Developer with passion for creating attractive and interactive websites meeting customer needs and exceeding expectations. Well-versed in developing custom WordPress themes and plugins. Excels in HTML, CSS, JavaScript and PHP development. Detail-oriented, organized, and meticulous employee. Works at fast pace to meet tight deadlines. Enthusiastic team player ready to contribute to company success. Logical and results-driven Web Developer dedicated to building and optimizing user-focused websites for customers with various business objectives. Judicious and creative when crafting effective websites, apps and platforms to propel competitive advantage and revenue growth. Technically proficient and analytical problem solver with calm and focused demeanor. Accomplished Computer Science Teacher with 5 years of academic instruction focused on technology use and application. Expert in developing comprehensive curriculum to address current technology evolution and innovation. Personable communicator proven to deliver engaging lessons to target learning objectives and prepare students for success. Articulate Computer Teacher offering 5-years background teaching computer principles to students at various levels. Motivating and encouraging educator with excellent knowledge of computer hardware and software and solid program presentation skills. Well-versed in developing course syllabus and implementing new technologies into teaching. Patient individual committed to continuous development.

Overview

13
13
years of professional experience
6
6
years of post-secondary education
5
5
Certification

Work History

Postdoctoral Researcher

National Yang Ming Chiao Tung University
8 2022 - Current
  • As a postdoctoral research assistant in audio and video signal processing, I have expertise in implementing and testing signal processing algorithms for various types of audio and video data.
  • With experience in working with audio and video hardware and collaborating with research teams, I am a strong candidate for contributing to innovative research projects in this field.
  • Contributed to high-impact publications by collaborating with fellow researchers and providing critical input.
  • Designed effective experimental controls, ensuring robust conclusions from research studies.
  • Developed custom software tools for specialized data analysis needs, boosting overall productivity of the research group.
  • Established productive collaborations with interdisciplinary teams to address pressing scientific questions.
  • Pursued independent and complementary research interests.
  • Maintained accurate records of research findings and provided statistical analysis of data results.
  • Authored professional scientific papers for publishing in peer-reviewed journals.
  • Provided support and guidance to junior lab staff.


Senior Data Scientist / Lead NLP Engineer

Gama
Taoyuan
2021.03 - Current
  • As a Senior Data Scientist, I utilized machine learning and NLP techniques to develop a 'claimtype' classifier capable of detecting prediction, personal belief, or quantitative claims.
  • This innovative tool facilitates fact-checking and enables faster identification of verifiable claims.
  • Currently, I am leading the development of a prototype for a fully automated 'robochecking' tool, which is set to revolutionize the fact-checking industry.
  • Reduced time spent on manual tasks by developing automated processes using Python scripts and SQL queries.
  • Optimized data models by implementing machine learning algorithms and advanced statistical techniques.
  • Enhanced business decision-making with robust statistical analyses, including regression modeling and hypothesis testing.
  • Presented complex findings to non-technical stakeholders through clear visualizations and concise reports.
  • Managed a team of junior data scientists, fostering talent development and consistent project success.
  • Contributed to open-source AI projects as a way to stay current with industry advancements and give back to the community.
  • Collaborated with data scientists to integrate AI solutions into broader analytics projects, enhancing overall results.
  • Developed a strong understanding of relevant regulatory requirements surrounding AI technologies, ensuring compliance during project development.
  • Streamlined data preprocessing pipelines by automating routine tasks with Python scripting, reducing time spent on manual processes significantly.
  • Selected appropriate datasets and data representation methods.

Lecturer

Dominic Catholic High School
09.2021 - Current
  • As an experienced Lecturer, I possess strong skills in classroom management, teaching, and course-related assignments, with a passion for robotics reflected in my laboratory-based course development
  • I have extensive experience teaching courses in records, data, and information management, and my teaching style focuses on providing prompt feedback on student progress
  • With my dedication to my students' success and classroom management skills, I am confident in my ability to deliver high-quality education and contribute to the growth of any educational institution.
  • Evaluated student progress through regular assessments, providing detailed feedback for improvement and growth.
  • Created and designed quizzes, tests and projects to assess student knowledge.
  • Developed strong relationships with colleagues, collaborating on curriculum development and sharing best practices in teaching strategies.
  • Developed and implemented innovative teaching strategies to engage students in lectures and coursework.
  • Increased student interest by incorporating real-world examples into lessons and connecting material to relevant experiences.
  • Managed large class sizes effectively, maintaining an orderly learning environment conducive to student success.
  • Collaborated with faculty and staff to create meaningful learning experiences.
  • Conducted individual research projects to actively contribute to institution's research work.
  • Mentored and advised students to explore career pathways based and amplify knowledge, skills and strengths.

Research Assistant

WideLab, Chang Gung University
02.2019 - 06.2022
  • As a research assistant with expertise in signal processing and natural language processing (NLP), I possess the necessary skills and knowledge to contribute to a wide range of research projects.
  • With experience in implementing and testing signal processing algorithms, and working with NLP tools such as NLTK and spaCy, I have contributed to writing and editing research papers and reports, and have presented research findings at departmental and international meetings.
  • My skills in signal processing and NLP, combined with my experience in research and collaborative work, make me a strong candidate for contributing to innovative research projects in the field of scientific discovery and technological development.
  • Organized research materials, maintaining a well-ordered workspace conducive to productivity.
  • Participated actively in regular meetings with fellow researchers to discuss project updates, challenges faced, and lessons learned during ongoing activities.

Lecturer

The University of Lahore
09.2017 - 02.2019
  • As a Lecturer, I bring expertise in information systems and network engineering trends, coupled with a strong working knowledge of several software languages and networking protocols.
  • I have successfully planned and coordinated various events, and regularly participate in career development opportunities to enhance my technical skills.
  • My commitment to advancing my knowledge and contributing to the growth and success of any organization drives my passion for teaching and mentoring students.
  • Evaluated student progress through regular assessments, providing detailed feedback for improvement and growth.
  • Created and designed quizzes, tests and projects to assess student knowledge.

Senior Data Scientist

NCBA&E
01.2014 - 09.2017
  • As a data scientist, I contributed to creating a detailed sales prediction model for individual retailers.
  • I used my expertise in Python programming to develop high-performance programs that generate millions of daily predictions accurately and efficiently.
  • Reduced time spent on manual tasks by developing automated processes using Python scripts and SQL queries.
  • Optimized data models by implementing machine learning algorithms and advanced statistical techniques.

Data Scientist/ Computational Imaging Intern/Senior Software Engineer

ZeddIndex
12.2011 - 09.2017
  • As a data scientist, my objective was to locate, evaluate, and incorporate state-of-the-art research in NLP and machine learning to analyze and classify news articles on a massive scale in real-time.
  • I developed novel AI components and proof of concepts, oversaw critical projects for global clients, and maintained and improved Signal's connections with academia and research.
  • I mentored and coached students, conducted AI/machine learning seminars, and analyzed regulatory papers utilizing machine learning.
  • I employed Amazon's cloud computing system for rapid scalability and cost control.
  • As a senior software engineer, I developed and provided support for web applications.
  • Streamlined data collection methods to minimize analysis errors.
  • Automated repetitive tasks using scripting languages such as Python or R, saving time during the analytical process significantly.
  • Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.
  • Conducted feature engineering efforts to enhance model performance by creating new relevant variables from raw input data sources.
  • Optimized machine learning pipelines and computational resources deployment strategies resulting in reduced processing times.
  • Applied statistical and algebraic techniques to interpret key points from gathered data.
  • Built company A/B testing frameworks to test model quality.
  • Set up SQL database on cloud servers to store client data for query analysis.
  • Identified, measured and recommended improvement strategies for KPIs across business areas.
  • Developed custom data pipelines for streamlined data ingestion and processing, improving workflow efficiency.
  • Evaluated new data sources for integration into existing models, expanding breadth of insights generated.
  • Reduced forecast errors by applying advanced statistical techniques to historical data, improving inventory management.

Web Developer

MH LAB
10.2011 - 11.2011
  • Developed 5+ web applications using ASP.NET, where I was responsible for both front-end and back-end solutions.
  • Coded websites using HTML, CSS, JavaScript, and jQuery languages.
  • Planned website development, converting mockups into usable web presence with HTML, JavaScript, AJAX, and JSON coding.
  • Provided front-end development support, creating visually appealing designs that aligned with brand standards.
  • Enhanced user experience by implementing responsive web design and optimizing website performance.

Junior PHP Developer

WINNY WEB
08.2011 - 09.2011
  • As a junior PHP developer, I contributed to the development of an IP-based telecom soft switch for Linux platform phones using Java, C, and Assembly.
  • I designed and programmed the driver software for the PSTN/PLMN gateway interface device using C/C++.
  • I also developed an inventory control system, integrated with a bar code, using VB language and an MS Access database.
  • Streamlined data processing tasks for better user experience with well-designed database queries.
  • Contributed to the successful completion of various web development projects by actively participating in planning, design, coding, and testing phases.
  • Demonstrated consistent dedication to meeting project deadlines without sacrificing quality, ensuring timely delivery of well-constructed solutions.
  • Integrated third-party APIs seamlessly into web applications, enabling additional functionality for users.
  • Provided technical support during troubleshooting sessions with clients' IT teams, resolving complex issues efficiently by identifying root causes quickly.
  • Developed custom WordPress themes for clients'' specific requirements, resulting in a tailored online presence that met their needs effectively.

Education

Ph.D. in Computer Science and Information Engineering -

Chang Gung University, Taoyuan, Taiwan
01.2019 - 05.2022
  • Dissertation: A Novel Approach for Classification of Semi-Natural and Spontaneous Speech Emotions Based on Deep and Acoustic Features
  • GPA: 3.77
  • Professor Assistantship 2019 from winelab


Master in Computer Science -

National College of Business Administration And Economics, Lahore, Pakistan
09.2014 - 04.2017
  • Thesis Title: Detection of Diabetic Macular Edema for Disease Analysis through Optical Coherence Tomography
  • GPA: 3.20/4.00
  • Artificial Intelligence
  • Machine Learning
  • Digital Signal Processing
  • Design Patterns
  • Web Development
  • Code Refactoring Methodologies
  • Anti-patterns: A study of low-quality code
  • Software Engineering

Skills

Python

Certification

Soft Inn - Web Applications

Occupation

Postdoctoral Researcher

AI Engineer

Computer Teacher

Street

5th Floor 97 Jilin Street, Kaohsiung, Taiwan

Personal Information

  • Date of Birth: 09/21/88
  • Gender: m
  • Nationality: Taiwan

Nationality

Pakistani

Languages

English
Advanced (C1)
Urdu
Bilingual or Proficient (C2)

Publications

  • Journal Paper, Recognizing Semi-Natural and Spontaneous Speech Emotions Using Deep Neural Networks, IEEE Access, 2022, 10.1109/ACCESS.2022.3175419
  • Journal Paper, Multiclass sentiment analysis of Urdu text based on Multilingual BERT, Scientific Report, 2022, 10.1038/s41598-022-05192-5
  • Journal Paper, Effect on speech emotion classification of a feature selection approach using a convolutional neural network, PeerJ Comput Sci, 2021, 10.7717/peerjcs.766
  • Journal Paper, Semi-Natural and Spontaneous Speech Recognition Using Deep Neural Networks with Hybrid Features Unification, Processes, 2021, 10.3390/pr9122286
  • Journal Paper, Urdu Sentiment Analysis with Deep Learning Methods, IEEE Access, 2021, 10.1109/ACCESS.2021.3093078
  • Journal Paper, Data augmentation and deep neural networks for the classification of multiple Urdu accent speakers, PeerJ Comput Sci, 2019, 10.7717/peerj-cs.235
  • Journal Paper, Deep Sentiment Analysis using CNN-LSTM Architecture of English and Roman Urdu text shared in Social Media, Applied Science, 2020, 10.3390/app10238298
  • Conference Paper, Eye in-painting using WGAN-GP for face images with mosaic, Proc. SPIE 11584, 2020 International Conference on Image, Video Processing and Artificial Intelligence, 2020, 10.1117/12.2580635

References

References available upon request

Accomplishments

  • Achieved significant improvement in speech-emotion recognition accuracy through effectively helping with the development of the Multi Domain Emotion Recognition Enhancement (MDERE) framework. This framework addresses the challenges of cross-domain variability in SER systems by utilizing non-negative matrix adaptation and elastic net regularization, leading to enhanced emotion discrimination and robust cross-domain data analysis.
  • Resolved product issue through consumer testing.
  • Achieved improved performance in implicit sentiment recognition by completing the development of a novel framework for Aspect Sentiment Quad Prediction (ASQP) with accuracy and efficiency. This framework addresses the challenges of implicit sentiment detection and limited datasets through supervised comparison-based knowledge extraction, enhancing the recognition of implicit sentiment across different domains.
  • Achieved enhanced performance in bone-conducted speech analysis by introducing the Spectral Compression Covariance (SCC) method for linear prediction tasks. The SCC method effectively reduces eigenvalue expansion, improving the conditioning of LP systems and outperforming conventional techniques in BC speech analysis

Affiliations

  • National Yang Ming Chiao Tung University
  • Chang Gung University
  • ZeddIndex (Pakistan)
  • Bahauddin Zakariya University, Multan (Pakistan)
  • Gama (Taoyuan)
  • University of Sargodha

Additional Information

In addition to my technical expertise and hands-on experience in artificial intelligence, machine learning, and software development, I am committed to continuous learning and innovation. I thrive in collaborative environments where complex problems are addressed with cutting-edge solutions. I have a proven track record of successfully developing and implementing AI-driven systems in various domains, including speech recognition, sentiment analysis, and real-time data processing.

My experience spans cross-platform mobile development, particularly in Flutter, and full-stack web development using Laravel, PHP, and JavaScript. This has enabled me to deliver end-to-end solutions that are scalable, efficient, and user-focused. Furthermore, I am adept at working under tight deadlines and managing multiple projects simultaneously, ensuring quality delivery.

I am deeply passionate about leveraging technology for impactful solutions, such as my recent work in developing a fundraising and campaign platform. As someone who values growth, I am constantly looking for opportunities to contribute to forward-thinking projects that have a real-world impact.

Software

Pytorch

Keras

Php

Javascript

Interests

Improving speech recognition systems

Natural language processing

Sentiment analysis

Full-stack development

Particularly creating intuitive and user-focused web aplication

Hobbies

In my free time, I enjoy working on personal coding projects and exploring new advancements in artificial intelligence and machine learning. I love experimenting with different algorithms and frameworks, which helps me stay up-to-date with the latest trends in technology.

Aside from tech, I enjoy reading books on various subjects, including AI, innovation, and personal development. I also find outdoor activities refreshing, particularly hiking, as it gives me a chance to unwind and clear my mind. Additionally, I like engaging in creative hobbies such as photography and digital art, where I get to explore the artistic side of technology.

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Work Preference

Work Type

Full Time

Work Location

On-SiteHybridRemote

Timeline

Lecturer - Dominic Catholic High School
09.2021 - Current
Senior Data Scientist / Lead NLP Engineer - Gama
2021.03 - Current
Research Assistant - WideLab, Chang Gung University
02.2019 - 06.2022
Chang Gung University - Ph.D. in Computer Science and Information Engineering,
01.2019 - 05.2022
Lecturer - The University of Lahore
09.2017 - 02.2019
National College of Business Administration And Economics - Master in Computer Science,
09.2014 - 04.2017
Senior Data Scientist - NCBA&E
01.2014 - 09.2017
Data Scientist/ Computational Imaging Intern/Senior Software Engineer - ZeddIndex
12.2011 - 09.2017
Web Developer - MH LAB
10.2011 - 11.2011
Junior PHP Developer - WINNY WEB
08.2011 - 09.2011
Postdoctoral Researcher - National Yang Ming Chiao Tung University
8 2022 - Current

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Ammar AmjadPostdoctoral Researcher, AI Engineer, Teacher