Education
Graduate Tutor and Grader for the class of Introduction to Deep Learning
Coursework
Large Language Models(LLM), Introduction to Deep Learning, Introduction to Machine Learning, Big Data Processing, Practical AI, Data Management, Data Analysis, Ethical & Legal Issues in Data Science.
In Practical AI course, I also worked with Nvidia’s Jetson Orin Nano and JetBot AI Robot Kit to implement latest ML models through Dockers.
Publication
Efficient Deep Learning Models for Facial Expression Recognition (FER) using Transformers
- Developed efficient Transformer-based computer vision algorithm for Facial Expression Recognition (FER).
- Achieved competitive accuracy while maintaining computational efficiency, distinguishing from top-tier large models.
- Presented paper at IEEE BSN hosted at the MIT Media Lab, Cambridge!(It will available on IEEE Xplore soon).
- Extended the work across diverse massive datasets achieving state of the art results.
Work Experience
ML | AI | Computer Vision | Natural Language Processing
Machine Learning Researcher
Sensorimotor Control Laboratory, UMBC – A Lab specialized in Brain-Machine interface
• Co-authored paper on efficient transformers algorithm for facial expression recognition.
• Engineered emotion-based speed control for a robotic arm, showcasing seamless human-robot collaboration.
Machine Learning Engineer
WebOccult Technology, India – A Software development company
Text-to-Image search
• Developed a pipeline for querying million-image dataset via text input.
• Integrated Object Detection, Color Analysis, OCR (Optical Character Recognition), Vector Similarity
• Natural Language Processing techniques including keyword extraction and text cleaning.
Real-Time Hand and Body Pose Detection for Interactive Gaming
• Created API endpoint for real-time detection of hand and body pose using Python to integrate with Unity game engine
• Implemented depth estimation using OpenCV AI Kit (OAK-D camera), resulting in performance improvement.
Adjunct Lecturer – Machine Learning
Bath Spa University, U.A.E.
• Taught two full-credit courses, covering fundamentals of machine learning, computer vision and Python programming.
• Graduate students applied their knowledge to real-world problems and develop their own projects.
Artificial Intelligence Engineer
Doctor on Click, Singapore – Provides remote healthcare
• Implemented image segmentation with deep learning for Traditional Chinese Medicine with an accuracy of 0.95 IoU.
• Resulted in a web app for the doctors to get the segmented tongue image and the diagnosis of the patient.
Instructor, Python
Akshar CompuSoft Education Center, India
• Taught fundamentals of Python, data science, machine learning, and provided individualized mentorship to students.
Projects
ML | AI | Computer Vision | Natural Language Processing
TL-GAN (Transparent Latent Space Generative Adversarial Network)
- Programmed TL GAN to better understand the latent space and improve control over GAN-generated features.
- Controlled human face features with the linear model and visualized the latent space with the multi-label classifier.
Song Lyrics Generator with Large Language Model(LLM)
- Created a song lyrics generator capable of producing pop and rap lyrics from a limited dataset.
- Leveraged transfer learning on OpenAI’s GPT-2 (small) with 124M parameters to develop the model.
Real-time writing on live web-camera screen
- Developed a real-time interactive system enabling touchless handwriting on live web-camera screens through advanced hand tracking technology.
- The project gained viral success on LinkedIn with 2.5 million views. Post link.