---
title: "Sanyam Agrawal - Software Engineer in Greater Bengaluru Area | Tal"
description: "Meet Sanyam Agrawal, LLM Backend Engineer | FastAPI | Async Systems | RAG, LangGraph, OpenAI | Scaling AI APIs to 10K+ req/day based in Greater Bengaluru Area. AI stack includes langchain, langgraph, and langsmith."
image: "https://tal.club/meet/sanyam-agrawal/share-image"
---

# Sanyam Agrawal on Tal

## Headline

LLM Backend Engineer \| FastAPI \| Async Systems \| RAG, LangGraph, OpenAI \| Scaling AI APIs to 10K\+ req/day

## About

Backend engineer focused on building production\-grade LLM systems with strong emphasis on reliability, latency optimization, and cost efficiency\. I specialize in designing and scaling AI\-powered backend systems, including multi\-model LLM integrations, agent workflows, and retrieval\-based architectures\. Interested in: LLM infrastructure, agent systems, and high\-performance backend engineering\.

## Location

Greater Bengaluru Area

## AI stack

langchain

langgraph

langsmith

notion

claudecode

githubcopilot

ChatGPT

Microsoft Copilot

Wispr Flow

## Work experience

Software Engineer at Infosys, Sep 2023 \- Present · 3 yrs, • Built and scaled backend APIs handling 10K\+ requests/day with FastAPI and async Python, achieving 99\.2% uptime\. • Reduced average API latency from 220ms → 140ms \(36% improvement\) by optimizing async I/O, batching, and connection pooling\. • Improved P95 latency by 42% through parallel processing and non\-blocking external API calls\. • Designed structured logging and monitoring pipelines, reducing production debugging time by 40% and MTTR by 35%\. • Implemented retry and circuit\-breaker mechanisms, increasing request success rate from 91% → 98\.5% under failure scenarios\. • Reduced system error rates by 45% via improved validation, exception handling, and fallback logic\. • Optimized database/API interactions, reducing redundant calls by 30% and improving throughput by 25%\. • Led integration of external services/APIs, achieving 95%\+ success rate across third\-party dependencies\. • Introduced caching strategies \(Redis\), reducing response time for repeated queries by 50%\+ and lowering compute cost\. • Wrote unit and integration tests using Pytest, improving code coverage to 85%\+ and reducing regression issues by 30%\.

Technology Analyst at Infosys, Sep 2023 \- Apr 2026 · 2 yrs 8 mos, Bengaluru, • Built and scaled backend APIs handling 10K\+ requests/day, achieving 99\.2% uptime • Reduced latency from 220ms → 140ms \(36%\) using async I/O and batching • Improved P95 latency by 42% via parallel processing • Increased success rate from 91% → 98\.5% using retry \+ circuit breakers • Reduced error rates by 45% with better validation and fallback logic • Cut debugging time by 40% with structured logging • Improved throughput by 25% and reduced redundant calls by 30% • Implemented Redis caching → 50%\+ faster responses • Achieved 85%\+ test coverage using Pytest

Software Engineer at Danske IT and Support Services India Pvt Ltd, Jul 2022 \- Aug 2023 · 1 yr 2 mos, Bengaluru, Worked on IMA \(Information Management Architecture\), an enterprise metadata platform covering lineage, technical, and business metadata across systems\. • Built and maintained the platform, improving traceability across critical datasets • Designed data models and optimized SQL stored procedures, reducing query time by 25%\+ • Developed backend services using Django, including APIs, data processing, and authentication flows • Integrated Azure Active Directory \(LDAP\) for secure, role\-based access for 100\+ users • Deployed and configured infrastructure using Cloud2 and Linux, including servers, endpoints, and firewall rules • Set up development environments and Git/GitHub workflows, improving collaboration and reducing onboarding time by 30–40% • Built frontend using Django templates and HTML, and managed SSL certification and deployment

Software Engineer at Danske Bank, Jul 2022 \- Aug 2023 · 1 yr 2 mos, • Built and maintained IMA, an enterprise metadata platform covering lineage, technical, and business metadata across systems, improving traceability of critical datasets\. • Designed data models and optimized SQL stored procedures, reducing query time by 25%\+ and improving data retrieval efficiency\. • Developed backend using Django, handling APIs, data processing, and authentication flows; integrated Azure AD \(LDAP\) for secure, role\-based access for 100\+ users\. • Deployed and configured infrastructure using Cloud2 and Linux \(servers, endpoints, firewall rules\), enabling secure multi\-environment access\. • Set up development environments and Git/GitHub workflows, improving collaboration and reducing onboarding time by 30–40%\. • Built frontend using Django templates/HTML, managed SSL certification and deployment, and drove adoption through documentation and onboarding of internal teams\.

Intern at Danske IT and Support Services India Pvt Ltd, Jan 2022 \- Jul 2022 · 7 mos, Bengaluru, Karnataka, India

## Education

Bachelor of Technology, Computer Science and Engineering, Vellore Institute of Technology

Delhi Public School \- R\. K\. Puram

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

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