---
title: "Himanshu Wagh - AI Engineer in Pune District | Tal"
description: "Meet Himanshu Wagh, AI Engineer | Data Science Graduate | Building Scalable AI Systems for Real-World Impact based in Pune District. AI stack includes codex and opencode. Explore public work links including github."
image: "https://tal.club/meet/himanshu-wagh/share-image"
---

# Himanshu Wagh on Tal

## Headline

AI Engineer \| Data Science Graduate \| Building Scalable AI Systems for Real\-World Impact

## About

I'm a Data Science Graduate passionate about turning data into scalable AI products\. Currently completing my MS in Data Science at Michigan Tech, I bring hands\-on experience in deploying ML models for NLP, risk scoring, and financial document parsing in real\-world systems\. I've worked with startups and academic labs, where I’ve built LLM\-powered summarization apps, Dockerized ML pipelines, and deployed inference APIs with FastAPI, AWS Lambda, and Kubernetes\. I'm also the author of a peer\-reviewed publication on gene biomarker discovery using deep learning\. Now I’m actively seeking full\-time roles where I can apply my skills in AI/ML, cloud deployment, and MLOps to build real\-world impact—especially in fintech, healthcare, or AI product startups\. 📬 Let’s connect if you're hiring for ML, MLOps, or AI Engineering roles\!

## Location

Pune District

## AI stack

codex

opencode

## Work experience

AI Engineer at Realfy Inc\., Oct 2025 \- May 2026 · 8 mos, Michigan, United States, Architected an AI platform enabling creator\-specific and public information access with low end\-to\-end latency Implemented Retrieval Augmented Generation with indexed documents, increasing factual response accuracy by 45% Designed scalable backend APIs using FastAPI to support speech ingestion, retrieval, and generation Deployed GPU\-hosted inference services with Docker and Kubernetes, maintaining 99\.95% system availability Integrated secure identity workflows and role\-based access to align with platform and public\-system requirements

Research Assistant at Michigan Technological University, Aug 2023 \- Oct 2025 · 2 yrs 3 mos, Houghton, MI, Built DyGAF, an attention\-based model for biomarker ranking, achieving 94% classification accuracy Enhanced signal detection precision by 22% via TMM normalization and Random Forest selection Released Dockerized models with retraining triggers, reducing manual updates by 60% Detected model drift early using monitoring scripts, lowering downtime by 30% Managed preprocessing on NCBI datasets, including data\-acquisition, and cleaning to prepare inputs for ML models Formulated and fine\-tuned predictive models to analyze genetic interactions, achieving 93% accuracy

Software Engineering Intern at Fyle, Oct 2021 \- Apr 2022 · 7 mos, Operated on data\-extraction of information from digital and paper receipts using ML/AI to create expenses\. Leveraged and deployed an innovative data extraction pipeline using Named Entity Recognition and NLP in Python, enabling high\-efficiency data processing of digital and paper receipts\. Enhanced real\-time data processing performance by 30% through optimized algorithms in C\+\+ and Python Collaborated and leveraged scalable AWS Textract for cloud\-based document processing

## Education

Master's degree, Data Science, Michigan Technological University

Bachelor's degree, Mechanical Engineering, Progressive Education Society's Modern College of Engineering

## Public links

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

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

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