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