Sahil Gaikwad profile photo 1 on Tal

Sahil Gaikwad

Backend Engineering | Agentic Systems | Machine Learning

Pune Division

1+ year of work experience

IEEE
Jul 20241 yrJun 2025

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.
Afame Technologies
Apr 20244 mosJul 2024

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.

Sahil’s AI Stack

claude code
claude code
kilocode
kilocode
langchain
langchain
langgraph
langgraph
mcp
mcp
Supabase
Supabase

Education

Sandip University

Sandip University

20214 yrs2025
Army Public School (APS)

Army Public School (APS)

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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/

Sahil Gaikwad - Machine Learning Research Intern in Pune Division | Tal