Shipped features and performance improvements across open source projects - from ML emissions tooling to civic health infrastructure for low-bandwidth environments.

• mlco2 / codecarbon

  ML carbon emissions tracking

  ~1.9k starsPython

  Merged#1219· merged into v3.2.8· Jun 7, 2026

  Hot path optimization & performance proposal

  Profiled CodeCarbon's core measurement loop, file I/O, and initialization paths. Shipped a fix in v3.2.8 and authored a 12-issue tiered performance proposal covering threading, syscall reduction, and CSV flushing architecture.

  • Eliminates unnecessary list allocation on every measurement tick

  Proposal#1220

  Performance Enhancement Proposal: CodeCarbon Core — 12 findings

  Tiered by impact-to-effort across hot paths

  • Tier 1 · 3 quick wins
  • Tier 2 · 5 high-impact
  • Tier 3 · 4 deep fixes

  PythonpsutilpandasthreadingNVML / AMDSMIRAPL
• RatLoopz / sahidawa-india

  Civic health platform · GSSoC 2026

  ~55 starsNext.js

  Merged#1021· merged into main· Jun 1, 2026

  PWA · Offline-first service worker caching for medicine lookup

  Built a hand-rolled offline-first PWA caching layer for SahiDawa — a platform helping citizens in India verify medicines and find trusted pharmacies in low-bandwidth environments. Designed distinct caching strategies per route type and added 8 tests covering all strategies and SW lifecycle. Labeled advanced · quality: exceptional by maintainers.

  • StaleWhileRevalidate — medicine APIs
  • CacheFirst — OSM tiles (7d TTL)
  • NetworkFirst — alerts
  • 143/143 tests passing

  Next.jsService WorkersPWAOpenStreetMapTypeScriptJest

1. 

   Software Engineer · CrowdDoing

   San Francisco, CA · Part Time

   May 2026 — Present

   • Architecting an event-driven MCP agent that matches 1,000+ weekly user profiles to specific technical requirements.
   • Developing scalable recommendation workflows by engineering data pipelines that transform 5,000+ unstructured legacy profiles into structured datasets.

   PythonAgentic AILLM
2. 

   Software Engineer (Graduate Consultant) · Nissha Medical Technologies

   Buffalo, NY ·

   September 2025 — December 2025

   • Predictive maintenance at high speed operations

   • Automated manufacturing quality analysis for ~1M daily units by prototyping an AI-driven inspection system combining computer vision and real-time sensor telemetry.
   • Enabled real-time defect detection at line speed by optimizing inference deployment pipelines to achieve sub-50ms processing on edge hardware.

   PythonOpenCVYOLO
3. 

   Software Developer Engineer · Siemens

   India · Full Time

   June 2019 — July 2024

   • Production services at industrial scale
   • Observability & reliable system design

   • Engineered backend services in C#/.NET Core and Go, enabling high-throughput, event-driven workflows processing 100k+ energy records daily across Building-X platform.
   • Automated setup of SQL stored procedure scripts using Flyway reducing manual errors and environment setup time by 80%.
   • Built 3 reusable Angular components in SiMPL, Siemens private NPM library used across global products reducing UI duplication.
   • Enabled reliable async messaging across high-volume, multi-tenant energy data workloads by building event-driven microservices with AWS SQS/SNS pub/sub patterns, leveraging platform-guaranteed delivery for critical energy data pipelines.
   • Delivered real-time data visualization for commercial building operators by building Angular micro-frontend dashboards rendering 100k+ energy KPI datapoints displaying consumption, carbon emission baselines and forecasted supply demands.
   • Cut deployment time by 50% by migrating CI/CD pipelines from Jenkins to GitLab; leveraged feature toggles, release metrics, and Grafana/CloudWatch alerting to improve production observability across environments.
   • Won Product Category at Hackathon-19 by prototyping a proactive maintenance dashboard enabling field engineers to monitor and manage access controls in real time.
   • Reduced onboarding time from 3 weeks to 10 days by mentoring 3 junior engineers and onboarding 5 new team members through structured code reviews, pair programming and technical documentation.

   C#.NET CoreGoAWSMySQLDynamoDBCI/CD
4. 

   Software Engineer Intern · Siemens

   India · Full Time

   January 2019 — June 2019

   • API optimization
   • Quality & reliability

   • Raised code coverage to 93% and improved SonarQube code quality to Grade A by implementing NUnit testing frameworks in .NET Core to establish the testing standard adopted by the full team.
   • Reduced REST API latency by 40% for key workflows by optimizing request/response handling through query optimization and response caching.
   • Built a proof-of-concept for recursive tree structures in Angular representing buildings, sites, and meters as hierarchical nodes for the DDA tool within the Siemens Navigator ecosystem – the approach was adopted into production as core visualization structure.

   .NET CoreNUnitREST APIsAngular

• 20263 min read

  From Research Paper to Production: Why AI Systems Need More Than Models

  Model is one part of the system

  Read on Medium
• 202612 min read

  Your LLM Judge is Lying to You (And Here’s How to Fix It)

  Evaluation biases and suggested mitigations

  Read on Medium
• 20265 min read

  From Software Engineering to AI

  Transitioning from industrial backend development to graduate study in artificial intelligence.

  Read on Medium