---
title: "Indrasish Bhattacharjee - AI Engineer (Generative AI & ML Systems) in Kharagpur | Tal"
description: "Meet Indrasish Bhattacharjee, AI Engineer @ Growthack Ventures LLP | LLMs • RAG • AI Systems Architecture • FastAPI • Vector DBs • ML & MLOps based in Kharagpur. AI stack includes antigravity, gemini, and hugging face. Explore public work links including github and indrasish-portfolio.web.app."
image: "https://tal.club/meet/indrasish-bhattacharjee/share-image"
---

# Indrasish Bhattacharjee on Tal

## Headline

AI Engineer @ Growthack Ventures LLP \| LLMs • RAG • AI Systems Architecture • FastAPI • Vector DBs • ML &amp; MLOps

## About

I’m an Applied AI Engineer focused on building end\-to\-end AI systems using Machine Learning and Generative AI\. I have hands\-on experience with: • LLM\-based applications \(RAG, FAISS, LangChain, Gemini\) • Vector search and semantic retrieval systems • Deep learning models \(LSTM, GRU\) for time\-series forecasting • Backend\-integrated AI systems and deployment I’ve built real\-world AI products such as an LLM\-powered Equity Research Tool \(RAG \+ FAISS\) and deep learning stock market prediction models\. I also have internship experience at Palo Alto Networks \(AI \+ Cybersecurity\) and AICTE \(Full\-stack AI development\)\. 🎯 Actively seeking fresher / entry\-level roles: AI Engineer • Applied AI Engineer • Generative AI Engineer • Software Engineer \(AI\) 📩 Open to referrals, collaborations, and technical discussions\.

## Location

Kharagpur

## AI stack

antigravity

gemini

hugging face

langchain

langgraph

CrewAI

## Work experience

AI Engineer \(Generative AI &amp; ML Systems\) at Growthack Ventures LLP, Jun 2025 \- Present · 1 yr 5 mos, Mumbai, Working as an AI Engineer focused on designing and building an AI\-powered financial intelligence system\. • Designed end\-to\-end system architecture for a Generative AI\-based stock analysis platform using RAG \(Retrieval\-Augmented Generation\) • Built a layered AI architecture integrating FastAPI backend, vector databases, and LLM pipelines • Implemented data ingestion pipelines for financial data \(stocks, news, filings\) with preprocessing and embedding generation • Developed RAG pipelines with embedding models, retrieval strategies, and prompt engineering to ensure grounded responses • Researched and defined scalable cloud infrastructure \(GCP/AWS\) for AI workloads and deployment • Designed system with SOC2\-oriented security principles including encryption, access control, and audit logging • Planned future ML layer for predictive analytics \(LSTM, XGBoost\) with MLOps integration using MLflow • Worked on open\-source tech stack selection including PostgreSQL, FAISS/Qdrant, Redis, Docker, and LangChain • Created modular, scalable, and production\-ready architecture for AI\-enabled financial ecosystem Currently working on system design, implementation planning, and scalable deployment strategy\.

Python Full Stack Intern at All India Council for Technical Education \(AICTE\), Nov 2024 \- Dec 2024 · 2 mos, Bhubaneswar, Odisha, India, Developed AI applications using Python and full\-stack development concepts, building interactive AI\-powered dashboards and deploying machine learning models as web\-based solutions\. • Built AI\-powered web applications using Python and full\-stack development concepts\. • Developed interactive dashboards and deployed ML models as web\-based solutions\. • Integrated backend logic with AI workflows for real\-world use cases\.

Networks Cybersecurity Entry\-level Technician \(PCCET\) Intern at Palo Alto Networks, Sep 2024 \- Nov 2024 · 3 mos, Bhubaneswar, Odisha, India, • Implemented cybersecurity measures aligning with industry standards and NIST/NICE framework, enhancing organization's security posture\. • Applied AI/ML security principles to protect systems against adversarial threats\.

## Education

Bachelor of Technology \- BTech, Computer Science \(AI/ML\), School of Computer Engineering, KIIT DU

## Public links

- github: https://github\.com/Indrasish7
- indrasish\-portfolio\.web\.app: https://indrasish\-portfolio\.web\.app/

[View the original profile](https://tal.club/meet/indrasish-bhattacharjee)

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