---
title: "Vinit Khapekar - Research Intern in Nagpur | Tal"
description: "Meet Vinit Khapekar, AI/ML Engineer | GenAI & LLM Systems | Multi-Agent Workflows · RAG · Python | Building AI-Powered IoT Platforms | B.Tech ECS @ RCOEM based in Nagpur. AI stack includes hugging face, langchain, and langgraph. Explore public work links including github."
image: "https://tal.club/meet/vinit-khapekar/share-image"
---

# Vinit Khapekar on Tal

## Headline

AI/ML Engineer \| GenAI & LLM Systems \| Multi\-Agent Workflows · RAG · Python \| Building AI\-Powered IoT Platforms \| B\.Tech ECS @ RCOEM

## About

I build AI systems that work — not just in notebooks, but in production pipelines, real hardware, and agentic workflows that replace manual effort with intelligent automation\. I'm a final\-year B\.Tech \(Electronics & Computer Science\) student at RCOEM, Nagpur, with hands\-on experience across the full AI stack: from fine\-tuning and prompting LLMs \(Llama 3\.3 70B, Qwen 2\.5 Coder\) on Groq, to deploying multi\-agent code explainer and README generator systems, to integrating AI with ESP32\-based IoT sensors on FastAPI backends\. My research work includes a published\-track paper introducing a Hybrid Stylometric\-BERT model for AI\-generated text detection — achieving 99\.44% accuracy on \~114K samples by combining 50 stylometric features with frozen BERT embeddings via an MLP classifier, targeting Springer's IJIT journal\. Currently, I'm developing an AI\-powered industrial IoT monitoring platform targeting pharma cold storage — using AI agents as autonomous "employees" to monitor, alert, and act on sensor data with minimal human intervention\. What I bring: → LLM & GenAI: Prompt engineering, RAG pipelines, multi\-agent orchestration, Groq API → AI/ML: Python, Scikit\-learn, BERT, Pandas, NumPy, Jupyter → Backend \+ IoT: FastAPI, ESP32, DHT22 sensors, REST APIs, React dashboards → Research mindset: interpretable ML, hybrid architectures, real\-world validation I'm actively seeking Trainee AI Engineer, GenAI Engineer, and ML Engineer roles — remote or India\-based — where I can build real AI systems that create measurable impact\. 📩 vinitkhapekar09@gmail\.com · Open to opportunities

## Location

Nagpur

## AI stack

hugging face

langchain

langgraph

openai

## Work experience

Research Intern at Shri Ramdeobaba College of Engineering and Management, Jan 2026 \- Present · 5 mos, • Curated and merged 3 public datasets into a 114K\+ sample dataset; prevented data leakage using prompt\-based stratification • Developed a TF\-IDF \+ Logistic Regression baseline achieving 94\.04% accuracy • Fine\-tuned a BERT\-based classifier achieving 98\.77% accuracy, 0\.9868 F1\-score, 0\.9995 ROC\-AUC — a \+4\.73% improvement over baseline • Evaluated models across accuracy, precision, recall, F1\-score, and ROC\-AUC; conducted full comparative analysis

## Education

Bachelor of Technology, Electronics and Computer Science, Shri ramdeobaba college of engineering and management

## Public links

- github: https://github\.com/Vinitkhapekar

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

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