Research Experience
Graduate Research Assistant
Supervisor: Dr. Ashis Kumar Mandal
- Conducting research in AI, Machine Learning, and Deep Learning, focusing on representation learning and transfer learning across diverse datasets.
- Evaluating pre-trained models (Kinetics-400, MiT, LLMs) using full fine-tuning, linear probing, and few-shot learning.
- Applying Computer Vision and NLP methods with PyTorch, TensorFlow, Hugging Face, spaCy, and PySpark for large-scale experiments.
Research Assistant
Lab Supervisor: Sanjay Kumar Roy
- Led development of cross-platform mobile applications for internal use and client projects (educational and HR management systems).
- Developed IoT-based Android applications for smart devices including the Walton Tick Smart Watch and FitPro Smart Weight Scale.
- Implemented real-time device communication, data analytics, REST API integration, and cloud synchronization.
Independent Researcher
- Conducted independent research in AI, Machine Learning, and Deep Learning with a focus on interdisciplinary approaches.
- Collaborated with research partners on journal publications in explainable AI and computer vision.
- Developed novel methodologies by hybridizing techniques from electrical engineering with AI.
Professional Experience
Software Engineer (Android & iOS) — Team Leader
- Led development of cross-platform apps, including the Bench Educational App and HRMS, for internal use and clients.
- Built IoT-based Android apps for the Walton Tick Smart Watch and FitPro Smart Weight Scale, enabling real-time device communication and data analytics.
- Managed the app lifecycle, REST API integration, cloud sync, and mentored junior developers.
Android Application Developer
- Developed IoT-based Android apps including Digital Petrol Pump (Petrol ERP & POS), Smart Parking Management System (Hovata Parking), and Smart Wallet Management App (Linn Books).
- Implemented real-time device communication, secure transactions, and cloud integration for digital solutions.