V

Varun .

Software Engineer

Bengaluru, Karnataka, India3 yrs 8 mos experience

Key Highlights

  • Ranked #10 globally on Spider 2.0 Leaderboard.
  • Built AI pipelines serving 50,000+ enterprise users.
  • Achieved 99% uptime for production Kubernetes infrastructure.
Stackforce AI infers this person is a Backend Engineer specializing in AI Microservices and Cloud Infrastructure.

Contact

Skills

Core Skills

Ai MicroservicesKubernetesBackend ServicesMicroservicesCloud ServicesFull-stack Development

Other Skills

GenAipythonFastAPIMongoDBRedisNode.jsREST APIsAWSAzureRedux.jsSQLReactDockerSpring BootA2A

About

Senior Backend Engineer with 3+ years building AI-powered microservices and distributed systems at scale — currently at HashedIn by Deloitte. 🏆 Ranked #10 globally on the Spider 2.0 Text-to-SQL Leaderboard — among 300+ submissions from research labs including ByteDance, AT&T, and Tencent. What I build: → Multi-agent AI pipelines (LangGraph, MCP, A2A) serving 50,000+ enterprise users → High-throughput backend services: auth gateways, job queues, config managers, API integration platforms → Production Kubernetes infra for 60+ microservices with 99% uptime → Data pipelines on AWS Glue + Snowflake, async metadata extraction, RAG systems Tech I work with daily: FastAPI · Node.js · Python · TypeScript · PostgreSQL · MongoDB · Redis · Docker · Kubernetes · AWS · Azure · GitHub Actions · Prometheus · Grafana I care about: clean API design, observable systems, zero-downtime deployments, and engineering that actually ships. 📫 Open to Senior Backend / AI Infra / Platform Engineering roles 🔗 varunvadda99@gmail.com

Experience

3 yrs 8 mos
Total Experience
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Average Tenure
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Current Experience

Hashedin by deloitte

3 roles

Software Engineer II

Promoted

Apr 2024Present · 2 yrs 2 mos

  • ▸ Designed Text-to-SQL platform end-to-end 3-agent AI pipeline achieving 80% accuracy on L4 queries across 8 DB engines, ~6K+ queries/day for 50K+ enterprise users. Ranked #10 globally on Spider 2.0 Leaderboard among 300+ research lab submissions.
  • ▸ Led a cross-functional team of 5 engineers and mentored 10+ junior developers established code review culture, unblocked production issues, zero missed delivery milestones over 4 consecutive quarters.
  • ▸ Built async T2S metadata extraction service FastAPI + MongoDB worker pool processing 400-table jobs via concurrent schema introspection and batched description generation; designed complete DB schema for DDL, DBML, column profiles, instruction sets, and query cache.
  • ▸ Built Dynamic Dashboard service for real-time plant monitoring 50K+ users, ~50K views/day, multi-layer Redis caching at ~60% hit ratio, under 2s P95 on 100M+ row analytical queries.
  • ▸ Built Agent Registry central auth gateway for 12+ agents, ~50K+ requests/day, SSE streaming, dual-auth (JWT + API Key), under 30s stale-agent detection via health-check polling.
  • ▸ Architected internal API integration platform 14 MCP tool servers exposing 101+ endpoints across 5+ enterprise systems, ~15K daily invocations; Redis caching eliminated ~8K upstream calls/day, circuit breakers ensuring zero cascading failures.
  • ▸ Built high-throughput query routing service ~5K+ requests/day, under 300ms P95 latency, ~1.2s TTFT SSE streaming; agent selection via registry-backed descriptor matching, powered by LangGraph orchestration.
  • ▸ Built reusable Helm charts and GitHub Actions CI/CD for 60+ microservices standardized deployments, pod autoscaling achieving 99% uptime, Prometheus + Grafana dashboards for production monitoring.
  • ▸ Built Global Config Manager FastAPI single source of truth for 50+ microservices; multi-backend secret management, real-time config propagation enabling runtime changes without redeployment, eliminating ~2 hrs/week overhead with under 30s staleness guarantee.
GenAipythonFastAPIMongoDBRedisKubernetes+1

Software Engineer I

Promoted

Sep 2022Mar 2024 · 1 yr 6 mos

  • Developed and optimized backend APIs using Node.js and FastAPI within a microservices architecture, improving request validation and query efficiency to reduce database latency by ~20%.
  • Implemented and maintained cloud-native services on Azure Functions and AWS, contributing to reliable, scalable backend workflows used in production.
  • Built data processing pipelines using Python and AWS Glue for file ingestion, transformation, and archival from Snowflake, reducing execution time by ~52%.
  • Collaborated with senior engineers to design and implement microservice integrations, following best practices for API contracts, error handling, and observability.
  • Wrote clean, testable, and production-ready code, participating in code reviews and addressing reliability, performance, and maintainability feedback.
  • Assisted in CI/CD workflows and deployments, gaining hands-on experience with Docker, automated builds, and cloud deployment pipelines.
Node.jsREST APIsFastAPIAWSAzureMicroservices+1

Software Engineering Associate

Mar 2022Sep 2022 · 6 mos

  • Built and deployed a full-stack application using React, Docker, and Spring Boot, gaining hands-on experience with production-style development workflows.
  • Selected as PoC team lead for a 4-member intern team after ranking in the top 10% of 200 interns, coordinating design, task breakdown, and delivery.
  • Implemented REST APIs and backend services, focusing on clean API contracts, input validation, and basic performance considerations.
Redux.jsSQLReactDockerSpring BootFull-Stack Development

Education

Sahyadri College of Engineering & Management

Bachelor of Engineering - BE — Information Science

Jun 2018Aug 2022

Scared Heart Pre-University College Madanthyar

PUC — Science

Jan 2016Jan 2018

Sacred Heart English Medium School Madanthyar

SSLC

Jun 2015Jun 2016

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