AI Engineer
JPMorgan Chase & Co.
LLM and RAG applications, multi-agent workflows, vector search, and cloud AI services designed for production environments.
Open to AI engineering opportunitiesUnited States · Open to relocate
AVAILABLE FOR AI ENGINEERING OPPORTUNITIES
TEJESH
MATTAPARTHI.
AI / ML Engineer
I design and ship production AI systems—from retrieval and agent workflows to APIs, evaluation, and deployment.
LLMs / RAG / AI AGENTS / MLOPSENTER THE SITE
01 / THE INTRODUCTIONABOUT ME
From model
to meaningful
impact.
I’m an AI Engineer working at the intersection of generative AI, software engineering, and production reliability.
My work spans LLM applications, retrieval-augmented generation, multi-agent workflows, semantic search, and document intelligence. I care about what happens after the demo: accuracy, latency, observability, and the people using the system.
Download my resume100K+
documents in an enterprise AI copilot
41%
lower inference latency in production workloads
65%
less manual document processing time
02 / SELECTED WORKPROJECTS
Systems, not
just screens.
Two projects that show how I approach the full AI lifecycle—from data and architecture to measurement and delivery.
01 / GENERATIVE AIEnterprise
Enterprise
AI Copilot
RAG-powered knowledge retrieval, document summarization, and question answering across internal information.
Explore case study02 / DOCUMENT INTELLIGENCEFrom documents
From documents
to decisions.
OCR and NLP pipelines for extraction, classification, validation, and semantic search across unstructured files.
Explore case study03 / EXPERIENCETHE JOURNEY
Building
what's next.
Enterprise AI, built with a focus on measurable outcomes and maintainable systems.
AI/ML Engineer
Zensar Technologies
Predictive ML, NLP applications, ETL pipelines, and experimentation workflows across enterprise datasets.
M.S. Computer Science
University of Central Missouri
04 / MY TOOLKITCAPABILITIES
The whole
system.
01
LLMs & agents
LangChain, LangGraph, RAG, tool calling, MCP, evaluation
02
Search & intelligence
Embeddings, FAISS, Pinecone, ChromaDB, OCR, NLP
03
Platforms & delivery
Python, FastAPI, AWS, Azure OpenAI, Vertex AI, Docker, Kubernetes, MLflow
BEYOND THE BUILDA person behind
A person behind
the pipelines.
Curious by nature and energized by complex problems, I like making technical ideas useful—and communicating them clearly.