---
title: "Kshiti Tyagi - Generative AI Engineer (Independent Projects) in Meerut | Tal"
description: "Meet Kshiti Tyagi, IMMEDIATE JOINER | GenAI & Agentic AI Engineer | RAG, LangChain, Azure OpenAI, MCP | 94% accuracy, 60% less manual effort based in Meerut. AI stack includes antigravity and codex."
image: "https://tal.club/meet/kshiti-tyagi/share-image"
---

# Kshiti Tyagi on Tal

## Headline

IMMEDIATE JOINER \| GenAI & Agentic AI Engineer \| RAG, LangChain, Azure OpenAI, MCP \| 94% accuracy, 60% less manual effort

## About

AI/ML & Generative AI Engineer with 2 years of experience building data\-driven and AI\-powered solutions at Bosch\. Experienced in developing enterprise AI applications using Python, Machine Learning, LLMs, RAG architectures, Agentic AI, FastAPI, and cloud technologies\. At Bosch, I contributed to Document Intelligence and AI automation initiatives that improved document extraction accuracy from 72% to 94%, reduced manual processing effort by approximately 60%, and enabled scalable AI\-driven workflows across multiple plants\. I also worked on Azure\-based data pipelines and enterprise AI integrations to improve information accessibility and operational efficiency\. My expertise includes: • Python, SQL, Data Analysis & Automation • Machine Learning, NLP & Deep Learning • LLMs, RAG, Vector Search & FAISS • Agentic AI, MCP, Multi\-Agent Systems • FastAPI, Streamlit, Azure OpenAI • MongoDB, MySQL, Git & Linux Recent projects include: • Agentic HR Operating System \(RAG \+ MCP \+ Intelligent Routing\) • OCR\-Based Aadhaar Verification System • AI Portfolio with Recruiter Assistant • Enterprise Document Intelligence Copilot I am passionate about building practical AI systems that combine retrieval, reasoning, and action execution to solve real\-world business challenges\. Currently exploring opportunities in GenAI, AI/ML Engineering, Applied AI, and Data Analytics, with a strong interest in scalable AI agents and enterprise AI platforms\.

## Location

Meerut

## AI stack

antigravity

codex

## Work experience

Generative AI Engineer \(Independent Projects\) at Independent AI/ML & Generative AI Projects, Nov 2025 \- Present · 10 mos, Remote, • Built an Agentic HR Operating System combining RAG and MCP\-based tool execution for policy retrieval, leave management, and employee onboarding workflows\. • Developed an OCR\-Based Aadhaar Verification System using Python, Tesseract OCR, and FastAPI for automated document verification and information extraction\. • Designed and deployed an AI Portfolio with Recruiter Assistant to showcase AI/ML, Generative AI, and Agentic AI projects through interactive conversations\. • Applied LLMs, RAG, Agentic AI, semantic search, and intelligent automation techniques to develop end\-to\-end AI applications and enterprise\-focused solutions\.

Engineer \(AI/ML and Generative AI\) at Bosch Global Software Technologies, Jan 2024 \- Oct 2025 · 1 yr 10 mos, Coimbatore, Designed and deployed an enterprise GenAI CoPilot chatbot to automate extraction of critical data from PDFs and structured documents, reducing manual processing effort by \~60% across multiple manufacturing plants\. • Built RAG\-based document intelligence pipelines using Python, TensorFlow, and LLM orchestration, enabling accurate knowledge retrieval, contextual understanding, and high\-precision information extraction\. • Rolled out the solution across multi\-plant operations, improving data extraction accuracy to 94% and accelerating decision\-making for plant managers and engineering teams\. • Integrated the platform with Azure Data Lake and cloud\-native data engineering pipelines to support centralized storage, scalable ingestion, and real\-time document processing\. • Partnered closely with cross\-functional stakeholders to refine chatbot workflows, incorporate user feedback, and continuously enhance automation, resulting in high adoption and production\-grade scalability\. • Developed reusable automation scripts and standardized parsing frameworks, significantly reducing error rates, manual intervention, and operational overhead\.

AI/ML Intern at HighRadius, Jan 2022 \- Apr 2022 · 4 mos, Bhubaneswar, •Built an AI\-powered B2B Invoice Management app using Python, Flask/Django, and MySQL, automating invoice processing\. •Implemented ML models for invoice classification and anomaly detection, reducing late payments by \~30%\. •Developed dashboards and visualizations \(Tableau\) for real\-time insights into receivables and cash flow\. •Worked on full\-stack development with React\.js and Node\.js, integrating backend APIs and database schemas\.

Full Stack Engineer at HighRadius, Jan 2022 \- Apr 2022 · 4 mos, Built AI\-powered B2B invoice automation platform using Python, Flask, and ML models to streamline billing workflows\. Designed anomaly detection and classification models; reduced late payments by 30%\. Created executive dashboards with Tableau to surface real\-time business insights for stakeholders\.

## Education

B\.TECH, Computer Science, SRM University \(Sri Ramaswamy Memorial University\)

Bachelor of Technology, Computational Science, Srm University

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

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