Siddhi.

Career

Experience

Full-Stack AI Software Engineer with 3+ years building production backend, cloud, and full-stack systems, including scalable microservices architecture and AWS infrastructure. Recently focused on shipping production AI/LLM applications: agentic workflows and RAG pipelines with LangGraph and LangChain, covering retrieval, tool calling, structured outputs, and human-in-the-loop review.

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Advocara

Advocara

Current

Full Stack Engineer

May 2025 – Present

San Francisco / Remote

  • Architected and shipped production LLM agent workflows with LangGraph and LangChain, orchestrating multi-step retrieval, tool calling, ReAct-based reasoning, state checkpointing, and human-in-the-loop review gates.
  • Centralised CRUD operations via a unified DatabaseManager, improving data-access efficiency by 45% and eliminating N+1 query patterns across all services.
  • Boosted front-end rendering speed by 60% and cut code duplication by 30–35% by decoupling auth, data, and caching layers using Zustand and React Context.
  • Reduced unauthorised access attempts by 75% by building a secure microservices backend with JWT authentication (NextAuth.js + Cognito) and role-based access filtering.
Agent Orchestration

ReAct Agent Reasoning

Production LangGraph agent workflows · human-in-the-loop review

LangChainLangGraphReactZustandNext.jsNode.js+2
Advocara

Advocara

DevOps Engineer

Feb 2025 – May 2025

Washington, D.C.

  • Led cloud infrastructure for a team of 5, deploying AWS architecture (EC2, ECS Fargate, RDS) with Terraform.
  • Deployed scalable AWS infrastructure with CI/CD automation, reducing deployment times by ~85% and increasing release velocity by ~40%, while maintaining 99.95%+ availability.
  • Built custom Grafana dashboards and alerts with CloudWatch, Prometheus, and Loki, improving incident resolution by 25% and optimising overall system performance.
0%

Faster Deployments

85% faster deployments · 99.95%+ uptime

AWSTerraformCI/CDGrafanaDocker
Genpact

Genpact

Software Engineer

Apr 2022 – Jan 2023

Chicago, IL

  • Designed Java Spring Boot microservices with well-defined REST APIs, cutting service integration time by 40% and enabling parallel team development.
  • Built standardised React component libraries used across multiple product teams, accelerating UI delivery by 20–30% and halving duplicate code.
0%

Less Duplicate Code

50% less duplicate code · 40% faster service integration

JavaSpring BootReact.jsREST APIsMicroservices
CCFA

Crohn's & Colitis Foundation

Software Engineering Intern

Sep 2021 – Mar 2022

New York, NY

  • Built high-availability Spring Boot applications serving 100K+ users with a fault-tolerant microservices architecture, enabling 30–40% faster independent deployments.
  • Improved API response times by 20–30% by streamlining RESTful endpoints and eliminating redundant round trips.
0K+

Users Served

100K+ users served · 40% faster deployments

Spring BootJavaREST APIsMicroservices

Academic

Education

Virginia Tech
Aug 2023 – May 2025

Virginia Tech

M.Eng.

Computer Science

Rutgers University
Sep 2017 – May 2021

Rutgers University

B.S.

Computer Science, Minor in Business Administration

CertificationsAWS Certified Cloud PractitionerIntroduction to LangGraph (Python)Programming Foundations: DatabasesIntroduction to Data Engineering