---
title: "Pravin Waghmare - AI & DevOps Engineer in Pune/Pimpri-Chinchwad Area | Tal"
description: "Meet Pravin Waghmare, Forward Deployed AI & DevOps Engineer @ KPIT | LangChain · LangGraph · MCP · RAG Pipelines | AWS · Terraform · Docker | Frontier LLMs: OpenAI · Claude · Gemini based in Pune/Pimpri-Chinchwad Area. AI stack includes aistudio, claude code, and claude."
image: "https://tal.club/meet/pravin-waghmare/share-image"
---

# Pravin Waghmare on Tal

## Headline

Forward Deployed AI & DevOps Engineer @ KPIT \| LangChain · LangGraph · MCP · RAG Pipelines \| AWS · Terraform · Docker \| Frontier LLMs: OpenAI · Claude · Gemini

## About

🚀 Building production\-grade AI systems that actually ship\. I'm a Forward Deployed AI & DevOps Engineer at KPIT Technologies with 2\+ years of hands\-on enterprise execution — architecting LLM pipelines, multi\-agent workflows, and cloud\-native infrastructure that run at scale\. What makes my path unique: I'm completing my final year of B\.E\. in Computer Engineering while working full\-time in a senior engineering capacity\. That dual\-track has sharpened my ability to learn fast, execute faster, and deliver under pressure — skills I bring to every project\. ━━━━━━━━━━━━━━━━━━━━━━━━ ⚡ WHAT I BUILD ━━━━━━━━━━━━━━━━━━━━━━━━ 🤖 Agentic AI & RAG Infrastructure • Multi\-modal agent pipelines using LangGraph & Model Context Protocol \(MCP\) • Hybrid RAG architectures with Pinecone, advanced chunking & contextual retrieval • LLM evaluation harnesses \(LLM\-as\-judge, golden dataset regression suites\) • Real\-time observability with Langfuse \(token cost, embedding accuracy, output drift\) ☁️ Cloud\-Native DevOps & Automation • Infrastructure as Code via Terraform on AWS \(EC2, S3\) • Docker containerization \+ GitLab CI/CD & GitHub Actions pipelines • Eliminated 30% of manual engineering overhead through Python automation • Linux\-native integration workflows & REST API documentation systems 🔗 Frontier LLM Integration • Production API integration: OpenAI \(structured outputs\), Anthropic Claude, Google Gemini • FastAPI backends \+ Next\.js/React frontends for AI\-powered products • Enterprise safety guardrails & structured output parsing at scale ━━━━━━━━━━━━━━━━━━━━━━━━ 🏆 KEY WINS ━━━━━━━━━━━━━━━━━━━━━━━━ ✅ 30% reduction in manual intervention via automated Python \+ CI/CD pipelines ✅ Production RAG & agent workflows deployed globally on AWS ✅ Reduced new developer onboarding time via system runbooks & API docs ✅ Delivered enterprise\-grade AI validation systems while completing a degree ━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 TARGET ROLES ━━━━━━━━━━━━━━━━━━━━━━━━ Forward Deployed AI Engineer \| AI Infrastructure Engineer \| MLOps Engineer \| DevOps / Cloud Platform Engineer 🌍 Open to: Remote · Relocation \(US · Canada · UK · Europe\) ━━━━━━━━━━━━━━━━━━━━━━━━ 🛠️ TECH STACK ━━━━━━━━━━━━━━━━━━━━━━━━ Languages: Python · TypeScript · JavaScript · Java · C AI/Agents: LangChain · LangGraph · MCP · LlamaIndex · OpenAI API · Claude API · Gemini API Web: FastAPI · Next\.js · React\.js Data/Vector: Pinecone · PostgreSQL · Supabase Observability: Langfuse Cloud/DevOps: AWS \(EC2, S3\) · Terraform IaC · Docker · GitLab CI/CD · GitHub Actions 📩 Open to global opportunities — let's connect\!

## Location

Pune/Pimpri\-Chinchwad Area

## AI stack

aistudio

claude code

claude

cursor

gemini

mcp

## Work experience

AI & DevOps Engineer at KPIT, Mar 2024 \- Present · 2 yrs 6 mos, Hybrid, Building and deploying production\-grade AI infrastructure and automated cloud systems within KPIT's enterprise engineering environment\. • Architected multi\-modal agent workflows using LangGraph and Model Context Protocol \(MCP\), enabling scalable cross\-functional AI automation deployed on AWS\. • Integrated frontier LLM APIs \(OpenAI structured outputs, Anthropic Claude, Google Gemini\) into enterprise validation pipelines with structured output parsing and enterprise safety guardrails\. • Engineered Python data processing pipelines and custom shell scripts that eliminated 30% of manual engineering overhead across validation workflows\. • Containerized core services with Docker and built automated GitLab CI/CD pipelines — delivering consistent test builds and rapid deployment feedback loops\. • Deployed scalable RAG pipelines on AWS \(EC2, S3\) using LangChain for intelligent data extraction across engineering datasets\. • Implemented real\-time LLM observability stacks via Langfuse — tracking token cost, embedding accuracy, and output drift to enforce production reliability\. • Established system integration runbooks, REST API documentation, and technical workflows — cutting new developer onboarding time significantly\. Tech: Python · LangGraph · MCP · LangChain · OpenAI API · Claude API · Gemini API · AWS · Terraform · Docker · GitLab CI/CD · Pinecone · Langfuse

Trainee at KPIT, Sep 2023 \- Jul 2024 · 11 mos, On\-site, Started as a Trainee, rapidly built technical depth in automotive software validation, AI automation, and DevOps — earning promotion to full AI & DevOps Engineer within 6 months\. • Developed Python automation scripts to eliminate repetitive data entry/extraction workflows, significantly improving team engineering velocity\. • Analyzed complex automotive protocol data using statistical techniques to detect system anomalies and software defects\. • Collaborated within Agile delivery frameworks with senior validation teams to optimize defect tracking and cross\-functional software delivery\. • Programmed embedded data manipulation routines in C and Python aligned with automotive SDLC standards\. • Applied foundational Generative AI and prompting techniques to explore automated engineering documentation — a foundation that evolved into production LLM systems\. Tech: Python · C · GitLab · Agile · Automotive SDLC · Generative AI \(foundational\)

Barclays LifeSkills Programme at Barclays, Jul 2023 \- Aug 2023 · 2 mos, Completed Barclays' LifeSkills Programme — a career development initiative focused on professional workplace readiness, financial literacy, communication skills, and enterprise\-level thinking\.

Career Readlines at WNS Cares Foundation \(WCF\), Jul 2023 \- Aug 2023 · 2 mos, Pune, Maharashtra, India

ROTERY It programming skills at Rotary Satellite Club of Pune Vibrant East, Jul 2023 \- Aug 2023 · 2 mos, Pune, Maharashtra, India

## Education

Bachelor of Engineering \- BE, Computer Engineering, University of Mumbai

Diploma of Education, Computer Engineering, JSPM Bhivarabai Sawant Polytechnic, Wagholi, Pune

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

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