About
Software Engineer with 7+ years of experience across Meta, Microsoft, and financial services. Currently working on AI-powered autonomous incident response systems at Meta. Passionate about accessibility, open-source software, and applying distributed systems principles to AI infrastructure. IEEE Senior Member, conference reviewer, and speaker on AI agent reliability.
Experience
Meta Platforms
Software Engineer July 2022 – PresentOpsMate — AI Ops Agent Sept 2025 – Present
Contributing to Meta's autonomous incident response system using a multi-agent architecture with specialized sub-agents for discovery, diagnosis, and mitigation. The system integrates with SEV Manager, monitoring systems, and detection platforms to provide end-to-end incident response, reducing average response times across Meta's global infrastructure.
Instagram Feed & Reels Dec 2023 – Sept 2025
Spearheaded latency and reliability optimizations for Instagram Feed and Reels, driving improvements in user engagement and platform performance at scale.
Data Security Systems July 2022 – Dec 2023
Enhanced UX for a critical data security system ensuring device data erasure and destruction across data centers, improving efficiency for technicians while maintaining the highest data security standards.
Level 1 Accessibility Champion within Meta (one of only 800 across the company)
Microsoft
Software Engineer July 2018 – May 2022- Led design and implementation of cross-organization communication in Microsoft Teams
- Integrated Teams with Azure Blob Store for caching, achieving <100ms response times
- Optimized user membership queries by 80x (40s to <500ms)
- Designed micro-services for user metadata storage
- Implemented accessibility features and bug fixes in Microsoft PowerApps
- Authored published whitepaper on PowerApps accessibility guidelines
Edelweiss Financial Services
Machine Learning Intern July 2017 – June 2018- Built ML models for market volatility analysis and risk assessment
- Developed loan application evaluation model integrating personal financial data with macroeconomic indicators
- Used neural networks (BPN vs RNN) to forecast India's inflation rate
Open Source
DataPup
280+ starsModern, cross-platform database client for ClickHouse powered by AI. Featured on the official ClickHouse site and personally starred by the creator of ClickHouse. Promoted by LangChain.
Vibe-Tree
230+ starsCross-platform application enabling parallel development across multiple git worktrees for AI-assisted coding workflows. Part of the emerging "vibe coding" movement.
Pyrefly
3,600+ starsMeta's high-performance Python type checker and language server. Provides lightning-fast type checking with IDE features. Significantly outperforms MyPy and Pyright in speed.
Git-AI
1,000+ starsA Git extension for tracking AI-generated code in repositories.
Grafana
72K+ starsThe open and composable observability and data visualization platform. Contributed PRs for metrics, logs, and traces visualization.
OpenObserve
18K+ starsModern observability platform — open-source alternative to Elasticsearch, Splunk, and Datadog for logs, metrics, traces, and RUM.
KernelAgent
220+ starsAutonomous GPU kernel generation via deep agents. Turns PyTorch programs into verified Triton kernels.
Awesome AI Tools / Coding Tools
5,600+ stars combinedCurated lists serving thousands of developers monthly, influencing AI tooling adoption decisions across the industry.
Publications
PowerApps Canvas App Accessibility Guidelines
Authored a whitepaper providing clear guidelines for building accessible applications within Microsoft PowerApps. The document has become a go-to resource for developers, influencing how apps are designed and built with accessibility in mind.
Speaking & Reviewing
AI Agents Event — Feb 2026
"Deterministic Outcomes in Non-Deterministic Systems: Engineering Reliability for AI Agents"
Technical session on building production-grade agentic infrastructure by applying distributed systems principles to LLMs, ensuring five-nines reliability for enterprise AI operations.
TelecomReseller Podcast
Featured in "Inside Meta's Work on AI Agent Reliability and Platform Operations" podcast.
10+ Conference Reviews
Reviewer for IEEE ICCCNT 2025, ICDSNE 2025, IEEE AIC 2025, and TPC Member for FTNCT 2025. Reviewed papers across data science, networking, computing, and applied intelligence.
Education
Georgia Institute of Technology
M.S. in Computer Science
Specialization: Computing Systems
April 2020 – May 2023 | GPA: 3.5
BITS Pilani
M.S. in Mathematics & B.E. in Mechanical Engineering
August 2013 – June 2018 | GPA: 7.6