Hello, I'm
Building AI/LLM Systems & Scalable Distributed Solutions
Get In TouchI architect and build AI-powered platforms that handle millions of requests in production. At Walmart, I lead the AI platform team — building RAG systems, multi-agent orchestration frameworks, and LLM-based developer tooling used by engineers across the org.
My work sits at the intersection of traditional distributed systems and cutting-edge AI infrastructure. I care deeply about building things that scale, are observable, and actually make engineers more productive.
I have 5+ years of experience across fintech, gaming, and enterprise AI — from scaling a platform from 0 to 10K daily users as a founding engineer, to optimizing high-throughput workflow APIs serving 1500+ concurrent executions.
IIT (B.H.U), Varanasi
B.Tech (2016–2020)India
5+ Years
Software EngineeringEnd-to-end RAG platform at Walmart: Docling + pdfplumber for document parsing, Vision LLMs for OCR, Milvus hybrid retrieval (BM25 + semantic with RRF & cross-encoder re-ranking), and LLM-based response generation with evaluation and observability pipelines.
Stateful AI agent coordination system featuring task decomposition, parallel execution, dynamic model selection, and deterministic pause/resume — enabling human-in-the-loop code generation and review cycles in production.
Core Start/Update Workflow APIs serving 1500+ synchronous executions/sec with P95 latency reduced from ~200ms to ~130ms. Multi-tenant architecture with shared cluster isolation for multiple teams and workflow engines.
Full backend for gaming platform at Podeum: authentication, virtual economy, in-app purchases, and real-time live score feeds — scaled to 10K DAU from day one.
High-volume payment batch processing system at Rakuten with Java mock server framework for simulating external providers — improving integration test reliability across multiple brands.
Internal AI-powered developer tooling and spec-driven development workflows using LLMs — improving engineering velocity and consistency across feature development at Walmart.
Things I build to explore ideas — AI-assisted tools, design concepts, and product prototypes
A debugger-like interface for exploring and understanding codebases with AI. Applies breakpoints, stepping, call stacks, and "pause and ask why" metaphors to static code exploration. Includes full PRD, competitive analysis of 13 tools, and an interactive mock.
Full-stack travel planning application with backend APIs, risk scoring engine, mobile app, and comprehensive product specs. Built with Spring Boot, Expo Router, and PostgreSQL.
An extensible AI agent framework with persistent memory, skill management, multi-platform connectivity, and autonomous task execution. Built to explore multi-agent architectures and human-in-the-loop workflows.
An open agent architecture that separates planning from execution. Pick any advisor model, any executor model, and any MCP-compatible toolset. Includes a runnable Python kernel, architecture guide, and do's/don'ts for building vendor-agnostic AI agents.
I'm always open to discussing new opportunities, interesting projects in AI infrastructure and distributed systems, or just geeking out about LLMs and multi-agent architectures.