---
title: "Pratyush Jha - Software Developer in Vadodara | Tal"
description: "Meet Pratyush Jha, Immediate Joiner | Software Developer | Python | FastAPI | Machine Learning | Azure OpenAI | LangChain | LangGraph | RAG | GenAI | Agentic AI | Automation workflows based in Vadodara."
image: "https://tal.club/meet/pratyush-6/share-image"
---

# Pratyush Jha on Tal

## Headline

Immediate Joiner \| Software Developer \| Python \| FastAPI \| Machine Learning \| Azure OpenAI \| LangChain \| LangGraph \| RAG \| GenAI \| Agentic AI \| Automation workflows

## About

Skilled software enthusiast having an experience with a lot of projects in various domains and adaptable to learn new skills and technologies\. I have worked on AI/ML and development projects\.

## Location

Vadodara

## Work experience

Software Developer at Bosch Global Software Technologies, Feb 2025 \- Feb 2026 · 1 yr 1 mo, Coimbatore, Tamil Nadu, India, 1\. Designed and deployed a Retrieval\-Augmented Generation\(RAG\) chatbot using Python and Streamlit, improving internal document search efficiency by 40\-60% and reducing average query resolution time by 30\-50%\. 2\. Integrated Microsoft Azure for secure, scalable document storage and processing, enabling the handling of documents with improved response latency\. 3\. Optimized retrieval pipelines and embeddings, achieving high answer relevance and reducing redundant manual searches across teams\. 4\. Built an end\-to\-end AI driven mutation testing system using LangGraph to orchestrate multi\-agent workflows for mutant generation, analysis and validation across diverse testing frameworks\. 5\. Automated the full mutant lifecycle, reducing manual intervention by 50\-70% and accelerating the testing cycles\. 6\. Implemented hallucination detection mechanisms and human\-in\-the\-loop validation, improving output reliability and reducing false\-positives by 25\-40%\. 7\. Standardized mutation testing pipelines across teams, increasing cross\-team efficiency by 35\-50% and enabling seamless scalability\.

Project Intern at Samsung R&D Institute India, Oct 2021 \- Jun 2022 · 9 mos, Bengaluru, Karnataka, India, 1\. Developed and trained Machine Learning models for image classification tasks using Python, and improving model accuracy by 15% through optimized training pipelines and data preprocessing techniques\. 2\. Designed and implemented CNN based architectures to effectively distinguish between depth maps and albedo maps, enhancing feature extraction and classification performance\. 3\. Applied structured problem\-solving, algorithmic thinking and data preprocessing techniques\. 4\. Collaborated with mentors in technical design discussions and code reviews, incorporating feedbacks to improve model robustness and maintainability\.

## Education

BE, Computer Science and Engineering, KLE Technological University \- Hubballi \(India\)

kendriya vidyalaya

[View the original profile](https://tal.club/meet/pratyush-6)

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