---
title: "Hamsa R - AI & Machine Learning Intern in Mysuru | Tal"
description: "Meet Hamsa R, AI & ML Engineer | Data Science · Computer Vision · NLP · LangChain · Python · FastAPI | Backend & AI Developer. based in Mysuru. AI stack includes anthropic apis, hugging face, and openclaw."
image: "https://tal.club/meet/hamsa/share-image"
---

# Hamsa R on Tal

## Headline

AI &amp; ML Engineer \| Data Science · Computer Vision · NLP · LangChain · Python · FastAPI \| Backend &amp; AI Developer\.

## About

AI &amp; Data Science Engineer with 6\+ months of hands\-on production ML experience building Computer Vision and NLP systems that solve real\-world problems\. I specialize in end\-to\-end ML pipelines — from data preprocessing and model training to deployment and automation\. At Digibull\.ai, I built an Automated Optical Inspection \(AOI\) system using OpenCV and Python that reduced manual inspection effort by \~60%, and developed a Prompt Enhancement Framework that cut manual iteration by \~40%\. Proficient in Python, TensorFlow, PyTorch, OpenCV, LangChain, FastAPI, and RAG architectures\. I enjoy working at the intersection of AI research and practical engineering — turning models into reliable, production\-ready systems\. Currently seeking entry\-level roles in ML Engineering, Data Science, Python/Backend Development\.

## Location

Mysuru

## AI stack

anthropic apis

hugging face

openclaw

perplexity

## Work experience

AI &amp; Machine Learning Intern at DigiBull AI, Aug 2025 \- Feb 2026 · 7 mos, Mysuru, Built an end\-to\-end Automated Optical Inspection \(AOI\) system using OpenCV and Python for cable defect detection, cutting manual inspection effort by \~60% Designed a backend workflow for automated defect identification and email alert notifications Developed a Prompt Enhancement Framework \(PEF\) to auto\-optimize AI prompts, improving accuracy and reducing manual iteration by \~40% Managed the full ML lifecycle on real datasets — data cleaning, feature engineering, model training, validation, and evaluation using Scikit\-learn and TensorFlow

Machine Learning Intern at Digibull\.ai, Aug 2025 \- Feb 2026 · 7 mos, ●​ Built an end\-to\-end AOI system using Python and OpenCV for cable defect detection, reducing manual inspection effort by 60% and automating email alert notifications ●​ Engineered a Prompt Enhancement Framework \(PEF\) with LangChain to auto\-optimize AI prompts, improving model output accuracy by 40% and eliminating manual iteration cycles\. ●​ Managed the full ML lifecycle on real industrial datasets — data cleaning, feature engineering, model training, validation, and evaluation using Scikit\-learn and TensorFlow\.

Intern at Quantum Learnings, Nov 2023 \- Dec 2023 · 2 mos, Mysuru, Karnataka, India, Internship Program on Machine Learning and AI using Python by Quantum Learning

## Education

Bachelor of Engineering \- BE, Artificial Intelligence and data science, Visvesvaraya Technological University

[View the original profile](https://tal.club/meet/hamsa)

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