Experience
Where I've worked & contributed
2022 — 2026 · Present
● Active
Built and scaled core assessment infrastructure across workspace provisioning, code execution system, runtime platform, reliability engineering, and multi-cloud readiness for large-scale enterprise hiring events and day-to-day developer assessments.
- Architected secure LLM assessment platform with RAG and custom proxy controls (TPM/RPM), helping evaluate 20M+ AI developer candidates and supporting $1M+ ARR outcomes.
- Reduced cloud IDE provisioning time by 92% (45s to 3.6s), enabled 10+ enterprise client expansions, and sustained 1,000 provisions/min in multi-region deployments.
- Scaled distributed CodeRunner systems from 50K to 200K concurrent users; eliminated filestore bottlenecks via runc-bundle architecture and prevented $50K+ infra overprovisioning.
- Built traffic-driven predictive autoscaling with 48-hour forecasting; maintained 99.9% uptime during 10x spikes while reducing cloud spend by 35% across AWS/GCP.
- Owned multilingual data science platform improvements (Python/R/Julia JupyterLab provisioning), contributing to $800K in new bookings.
- Reduced annual infrastructure cost by $30K through service optimization and automated cleanup of long-running workspaces.
- Implemented Docker layer switching with secondary-disk dependency warmups and fallback install paths for resilient, low-latency workspace provisioning.
- Optimized Golang workspace services and parallelized Ruby on Rails orchestrator flows, improving deployment velocity by 40% and reducing P95 latency from 8s to 2.1s.
- Drove quota/API/worker improvements: bulk VM creation, Redis pipelines, connection pooling, batched DB updates, and high-throughput load testing.
- Led VM provider modernization and failover readiness across AWS and GCP; delivered production-safe proxy rollout and infra automation with Terraform/Packer.
- Authored API-first integration guides and led cross-team workshops to accelerate product onboarding onto shared skills/workspace infrastructure.
- Mentored 2 engineers in team, conducted 30+ technical interviews, and drove architecture reviews for 12+ infrastructure initiatives.
- Recognized as a 7-time Kudos award winner for exceptional technical contributions and strong customer focus.
GCPAWSKubernetesScalabilityReliabilityPlatform EngineeringSRE
2020 — Present
● Active
Started as a GSoC student and grew into long-term core contributions across OpenWISP services, owning reliability, developer experience, and performance improvements across the ecosystem.
- Contributed broadly across OpenWISP repos/services including openwisp-wifi-login-pages, openwisp-controller, openwisp-radius, openwisp-users, openwisp-notifications, openwisp-ipam, openwisp-firmware-upgrader, docker-openwisp, and NetJSONGraph.js.
- Optimized NetJSONGraph.js and WLP bundle size for faster load times and better frontend performance.
- Delivered production-focused fixes across captive portal login/registration, controller/runtime behavior, dependency upgrades, CI/test pipelines, and docs/devex improvements.
- Built the OpenWISP downloads workflow used to browse and distribute package artifacts (for example, openwisp-config releases).
PythonDjangoJavaScriptReactOpenWRTi18nTesting
Oct 2021 — Jun 2022
Contract
Built data platform services for real-time analytics pipelines with a focus on throughput, reliability, and cost-efficient autoscaling.
- Built data pipelines with Apache Beam and Pub/Sub, achieving 10K+ messages/sec throughput into BigTable for real-time analytics workloads in Python.
- Implemented a data fetcher service with autoscaling, auto-retry logic, and dead-letter queues, improving ingestion reliability from 92% to 99.7%.
- Implemented autoscaling for Django Celery workers using KEDA, reducing infrastructure costs by 50% while maintaining system reliability.
PythonApache BeamPub/SubBigTableDjangoCeleryKEDA
Mar 2021 — Jun 2021
Contract Internship
Snapy
Full Stack Developer
Remote · Bengaluru, India
Worked across frontend, backend, and ML serving workflows to deliver product features quickly during the internship.
- Developed responsive and user-friendly interfaces using React and Tailwind CSS, improving overall product UX.
- Built 100+ REST APIs with advanced backend features in Django, focusing on efficient response times and reliable service behavior.
- Deployed multiple machine learning models on Flask servers, gaining hands-on MLOps deployment experience.
- Collaborated closely with Kailash Ahirwal to adopt new technologies and engineering best practices in day-to-day delivery.
ReactTailwind CSSDjangoREST APIsFlaskMLOps