Sreetam Ganguly

sreetam.se@gmail.com | https://sr.sgy.co.in | +91 891 049 6844

About Me

I’m a curious, pragmatic engineer passionate about building scalable systems that do useful things quietly. My interests lie at the intersection of artificial intelligence, backend engineering, and clever automation. Whether I’m designing an edge-deployed logger, hacking a trading strategy, or crafting an AI model that runs fast on limited resources — I’m always learning and iterating. I enjoy clean code, clean logs, and black coffee.

Outside of tech, I’m into boxing, Formula One, and finding peace in the mountains.

Technical Proficiencies

• Programming & Frameworks: Python, TypeScript, Node.js, 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
• Cloud & DevOps: PostgreSQL, Pinecone DB, NoSQL, AWS OpenSearch
• Tools: Git, Apache2, Twilio API, Gupshup API, Vapi API

Professional Experience

Adyakshar Labs – 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. – 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

• 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)