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Assessing your cultural and operational fit
I'm Apurva Sinha, a first-year B.Tech Electrical Engineering student at RGIPT. I'm currently interning as an AI Chatbot Integration Engineer at FOSSEE, IIT Bombay, where I'm building an offline AI chatbot for eSim — an open-source EDA tool used by 10,000+ engineers — using Ollama LLMs, ChromaDB, RAG pipelines, and FastAPI. I've also independently built projects including a GenAI-powered FIRE financial planning platform using LangChain and DeepSeek, a Graph CNN-based power grid fault detection system, and an Aadhaar enrolment data analytics platform. I'm proficient in Python, TensorFlow, PyTorch, LangChain, FastAPI, and various AI frameworks. On the competitive side, I reached the semi-finals of the ET Gen AI Hackathon 2026 out of 65,000+ participants and qualified for Round 2 of Google The Big Code 2026 in the top 10%.
Rajiv Gandhi Institute of Petroleum Technology, Amethi
btech · electrical engineering
September 15, 2024 – June 22, 2028
Cultural Fit Analysis
The candidate is currently pursuing a bachelor's degree with no specified experience or projects. While the target role is 'AI ML Research Engineer', there is no information to assess alignment beyond the stated interest. The education in electrical engineering could provide a foundational understanding for some aspects of AI/ML, but specific cultural fit cannot be determined without more data on projects, experience, or skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, indicating no assessment was completed or data is missing.