About | Srimanth

$ whoami

Srimanth Tangedipalli

Partner Engineer, Applied AI @ LangChain

University of Virginia '24 | Computer Science + Commerce

$ cat ./bio.txt

> I'm a Partner Engineer on LangChain's Applied AI team, helping

> the world's largest AI platforms and SIs design, build, and ship

> production agents on LangGraph, Deep Agents, and LangSmith.

> My work lives at the intersection of engineering and partnerships

> — from tuning open models to benchmark-leading agent performance

> to building the tools that get partners to production faster.

> Previously a Solutions Architect at AWS. UVA '24, CS + Commerce.

$ apt list --installed

Agent Stack

LangGraphDeep AgentsLangSmithMCPAgent Evals & Benchmarking

Languages

PythonTypeScriptJavaScriptSQL

AI / ML

Claude APINVIDIA NemotronBedrock / AgentCorePrompt Engineering

Data

pandasscipyPostgreSQLGraph DBs

Web

ReactNext.jsTailwind CSSChrome APIs

Cloud

AWS (Bedrock, Lambda, S3, CDK)GCP & Azure MarketplacesVercel

Tools

GitClaude CodeJupyterDocker

credentials.txt

$ cat credentials.txt

EDUCATION

> University of Virginia — Class of 2024

> B.S. Computer Science + B.S. Commerce (Concentration in Information Technology and Finance)

> Echols Scholar

> Dean's List

CERTIFICATIONS

> AWS Certified Generative AI Developer - Professional

> Amazon Web Services Solutions Architect - Professional

> Amazon Web Services Solutions Architect - Associate

> AWS Cloud Practitioner

> Cisco Certified Entry Networking Technician (CCENT)

publications.txt

$ cat publications.txt

LANGCHAIN

> Deep Agents Code on NemoClaw: a governed blueprint for your most sensitive code — LangChain Blog

> Tuning the harness, not the model: a Nemotron 3 Ultra playbook — LangChain Blog

> Building an auditable VC research agent with the Perplexity Agent API and LangGraph — LangChain Blog

> Building a company due diligence agent with Deep Agents, LangSmith and Parallel — LangChain Blog

FEATURED IN

> Create a LangChain Deep Agents Harness Profile for NVIDIA Nemotron 3 Ultra to Improve Performance — NVIDIA Developer Blog

> NVIDIA Nemotron Achieves Benchmark-Leading Performance With LangChain Deep Agents Harness — NVIDIA Blog

> LangChain and NVIDIA Launch NemoClaw Deep Agents Blueprint — LangChain Blog

AWS & COMMUNITY

> Architecting Real-Time Warehouse Intelligence with IoTConnect — AWS Marketplace

> Digital Twin Framework: Simulation Workshop — AWS Workshop Studio

> Predictive Maintenance for Automotive & Manufacturing — GitHub (aws-samples)

> Kendra-Bedrock-ServiceNow Connector Pattern — GitHub (serverless-patterns)

> Simple Sentiment Analysis of Amazon Product Reviews Using VADER — Medium

talks.log

$ tail -n 7 talks.log

> Harness Optimization with LangChain and Nemotron Ultra — NVIDIA Nemotron Labs livestream · Jul 2026

> AWS AI Builder Lab — Deep Agents workshop — AWS, New York · Jul 2026

> LangChain × AWS Deep Agents workshop — AWS, Chicago · Jun 2026

> Agent Development Lifecycle with LangSmith — AWS AI-Velocity Engineering Symposium · Jun 2026

> LangSmith SaaS on AWS — Bedrock + AgentCore demo — AWS webinar · May 2026

> The Architecture Behind Production AI Agents — Nebius webinar · May 2026

> Talk to your Data — AWS × DataHub × LangChain webinar · May 2026

$ open --contact

$ open srimanth2002@gmail.com $ open linkedin.com/in/srimanth-tangedipalli $ open github.com/srimantht8 $ open github.com/srimanthtangedipalli-eng (work)