About Me
I'm a curious, hands-on engineer and researcher working at the intersection of artificial intelligence,
backend systems, and applied machine learning. I like staying close to the whole path of a piece of
work - training a model, writing the service that serves it, and, since September 2026, teaching
the ideas behind it as a guest lecturer at IEM Kolkata. Most of what I build is meant to run quietly and
correctly rather than draw attention to itself. I enjoy clean code, clean logs, and black coffee.
Outside of tech, I'm into boxing, Formula One, and finding peace in the mountains.
Work Interests
- Backend systems and applied AI/ML - building and shipping the service around a model, not just
training it
- Roles that mix hands-on engineering with research or teaching, rather than choosing one over the
other
- Small, focused teams where I can own a problem end to end
- Domains I keep coming back to: healthcare, agriculture, and developer tooling
Research & Teaching Interests
- Research: Machine Learning, Deep Learning, Computer Vision, Generative AI, Remote
Sensing, Efficient AI Systems
- Teaching: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision,
Data Structures & Algorithms, Database Management Systems, Python Programming
Technical Proficiencies
- Programming & Frameworks: Python, TypeScript, Node.js, C, C++, TensorFlow, PyTorch, Keras,
Loopback4
- AI/ML: Machine Learning, Deep Learning, Computer Vision, Generative AI (OpenAI, Llama, Titan)
- Data & Databases: Pandas, SciKit Learn, MySQL, PostgreSQL, NoSQL, Pinecone DB
- Cloud & DevOps: AWS, Azure, Google Cloud, Oracle Cloud, Cloudflare, AWS OpenSearch
- Tools: Git, Apache2, Nginx, Twilio API, Gupshup API, Vapi API
Professional Experience
Institute of Engineering & Management (IEM), Kolkata - Guest Lecturer (Sept 2026 - Present)
- Teaching undergraduate courses touching Artificial Intelligence and core Computer Science, alongside
ongoing industry work
Adyakshar Labs, Kolkata - Software Development Engineer (Dec 2023 - Sep 2024)
- Led backend dev in Digital Health, AgTech, and FinTech, improving performance by 30%
- Used AWS and Loopback4 for scalable backends
- Integrated Generative AI solutions to enhance operations
REBEL Foods Pvt. Ltd., Mumbai - Data Analyst (Jul 2022 - Dec 2023)
- Built predictive models for sales, improved allocation by 20%
- Customer segmentation led to 15% reduced churn
- Ran A/B testing, improving conversions by 12%
Education
- M.E. in CSE (AI & Data Science), Jadavpur University (2024-2026)
- B.Tech in CST, IIEST Shibpur (2018-2022)
Key Commercial Projects
- RiteFood: AI health platform, 80% retention | Loopback4, Python, PostgreSQL, AWS
- Mipece: Biz tool infra, +15% efficiency | AWS, Pinecone DB, TypeScript
- Find Your Card UAE: WhatsApp chatbot | Gupshup, FB API, PostgreSQL
- Lily (Leadvert): Cellular AI chatbot, +18% conversion | VAPI, TypeScript, AWS
Research Experience
- Design of a Generative Adversarial Classifier to Address Class Imbalance in Cyclogenesis Prediction - M.E. Thesis, Jadavpur University (Jul 2025 - Aug 2026)
- A GPU-Aware Training Pipeline for Vector Labelled GANs under Constrained Datasets - M.E. Mini
Project, Jadavpur University (Jan 2025 - Jul 2025), manuscript submitted
- Deep Anomaly Detection and Classification Using Sub Complete Dual ANNs (Feb 2021 - May 2022)
- Novel Fast Training High Accuracy Neural Network (Jan 2021 - Jul 2021)
- Context Aware Risk Management System (May 2021 - May 2022)
Selected Publications
- R. Ray, Z. Agar, P. Dutta, S. Ganguly, P. Sah, and D. Roy, “MenGO: A Novel
Cloud-Based Digital Healthcare Platform for Andrology Powered by Artificial Intelligence, Data Science
& Analytics, Bioinformatics and Blockchain,” Biomedical Scientific Instruments, vol.
57, no. 4, pp. 476-485, 2021.
- R. Sethi, D. K. Vishwakarma, S. Ganguly, and R. Ray, “A Comparative Study on
Different Machine Learning Algorithms to Detect PCOS,” Proceedings of the 14th International
Conference on Computing, Communication and Networking Technologies (ICCCNT), 2023, pp.
1-7.
- D. Roy, S. Ganguly, S. Mondal, B. Chakraborty, S. Banerjee, Z. P. Agar, and R. Ray,
“NutTix: An AI and Data Analytics-Powered Solution for Demand Prediction and Price Forecasting of
Groundnut,” Chemistry Proceedings, vol. 4, 2022.
- S. Mondal, D. Roy, S. Ganguly, R. Bhowmick, R. Sethi, S. Banerjee, and D. Sutar,
“KrishiGrow: An Expert System Based Macro and Micronutrient Visualization System for Smart Crop
Management,” Journal of Agricultural Extension, vol. 22, no. 2, 2021.
- S. Mondal, Z. Agar, R. Ray, S. Ganguly, R. Bhowmick, and R. Sethi, “AgroNet: A
Decentralized Platform for Collaborative Community-Driven Consultancy for Farmers and Agro
Vendors,” Journal of Agricultural Extension, vol. 22, no. 2, 2021.
Citations: 30 · h-index: 2 · i10-index: 2 - Google Scholar