Open to opportunities

Meet Chapale

@meetchapale

Message

I’m a data science intern building NLP and AI assistants that ship end-to-end with LLM pipelines.

India

Message

What I'm looking for

I’m looking for a role where I can build real-world AI/ML and LLM-powered products, combine NLP with practical APIs, and ship end-to-end solutions in a mentor-led team.

I’m currently a Data Science Intern, training a Support Vector Machine on 40,000+ news articles and reaching 97% accuracy using Word2Vec embeddings. I wrap models into production-style workflows, including a Flask REST API and a lightweight web experience where users can paste an article and get an instant REAL/FAKE verdict.

Before this, I completed an AI & LLM trainee program focused on NLP foundations, vector embeddings, LLM APIs, Retrieval-Augmented Generation, and agentic AI frameworks, then built a LinkedIn post generator using a LangChain agent with live web queries. I also explore applied research and hardware-adjacent AI—combining Whisper, LLaMA+RAG, BLIP-2, and Piper on-device with NVIDIA Jetson, and building IoT monitoring with ESP32 and Raspberry Pi to support irrigation and anomaly detection.

Experience

Work history, roles, and key accomplishments

Current

Data Science Intern

Current

Athenura

Feb 2026 - Present (4 months)

Trained a Support Vector Machine news classifier on 40,000+ labeled articles using Word2Vec embeddings, achieving 97% accuracy on a held-out test set. Wrapped the model in a Flask REST API with preprocessing and a simple web UI for instant REAL/FAKE verdicts.

Word2Vec scikit learn Flask REST APIs Python

AI & LLM Trainee

HCL Technologies

Mar 2026 - May 2026 (2 months)

Completed a 60-hour mentor-led industry training covering NLP, vector embeddings, LLM APIs, Retrieval-Augmented Generation, and agentic AI frameworks. Built a LangChain LinkedIn post generator that queries the live web and serves publish-ready output via a FastAPI backend and Streamlit interface.

NLP Embeddings Agentic AI LLMs (LangChain fastAPI Streamlit Python Information Retrieval

International Researcher

Technical University Berlin

Jun 2025 - Aug 2025 (2 months)

Selected for a 6-week TU Berlin Industry 4.0 research program applying IoT, automation, and sensor networks to sustainable building design. Co-designed a Mumbai smart-home concept, built the UI/dashboard prototype, and presented the final concept onsite to TU Berlin faculty.

Industry 4.0 IoT Automation Sensor Networks Smart Home Dashboards Presentation

Education

Degrees, certifications, and relevant coursework

MIT Art Design and Technology University

Bachelor of Technology (B.Tech), Computer Science Engineering (AI & Edge Computing)

2022 -

Grade: CGPA: 8.04 (Sem 7)

Activities and societies: First Prize, IdeaSpark 2023; 2 published design patents; research paper in IJSREM; review paper presented at the 7th International Symposium on Innovative Global Technology Trends 2025.

Pursuing a B.Tech in Computer Science Engineering (AI & Edge Computing) at MIT Art Design and Technology University. Reported CGPA of 8.04 (Sem 7).