---
title: "Sahil Gaikwad - Machine Learning Research Intern in Pune Division | Tal"
description: "Meet Sahil Gaikwad, Backend Engineering | Agentic Systems | Machine Learning based in Pune Division. AI stack includes claude code, kilocode, and langchain. Explore public work links including github and portfolio-kappa-wheat-foq084vjvc.vercel.app."
image: "https://tal.club/meet/sahil-gaikwad-1/share-image"
---

# Sahil Gaikwad on Tal

## Headline

Backend Engineering \| Agentic Systems \| Machine Learning

## About

B\.Tech CSE \(AI\) Graduate with 1\+ years of experience and strong foundation in core software engineering, AI, agentic systems and backend engineering\. I make fun stuff and something that has real impact\. I've implemented DistilBERT paper from scratch, a simple prototype for AI Glasses, an multi\-agent learning platform with coding environment and many features, Strategic Deconfliction System for drones and much more Checkout my work \- https://portfolio\-kappa\-wheat\-foq084vjvc\.vercel\.app

## Location

Pune Division

## AI stack

claude code

kilocode

langchain

langgraph

mcp

Supabase

## Work experience

Machine Learning Research Intern at IEEE, Jul 2024 \- Jun 2025 · 1 yr, Mumbai, Maharashtra, India, Architected and implemented advanced neural network architectures, significantly enhancing predictive accuracy across multiple use cases\. Engineered and benchmarked production\-ready machine learning models using TensorFlow and Python, resulting in substantial improvements in model performance metrics\. Contributed significant findings to five research publications presented at international conferences, elevating team visibility in the academic community\.

Machine Learning Intern at Afame Technologies, Apr 2024 \- Jul 2024 · 4 mos, Bengaluru, Karnataka, India, • Developed various machine learning models\. • Conducted extensive research on data classification projects and Explored data preprocessing techniques and feature engineering methods\. • Applied model evaluation strategies to enhance performance and reliability\. • Implemented algorithms for accurate message classifications and filtering\. • Gained hands\-on experience in solving real\-world problems using machine learning\.

## Education

Sandip University

Army Public School \(APS\)

## Public links

- github: https://github\.com/sahil\-gaikwad94
- portfolio\-kappa\-wheat\-foq084vjvc\.vercel\.app: https://portfolio\-kappa\-wheat\-foq084vjvc\.vercel\.app/

[View the original profile](https://tal.club/meet/sahil-gaikwad-1)

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