🙏 Namaste,
I build backend and systems software for places where latency, reliability, and real-world constraints matter.
My work spans distributed backends, cloud infrastructure, and AI-assisted delivery—from Django and GraphQL
services at scale to Go microservices, Kubernetes, and production observability.
I care about CI/CD
that ships quickly without surprises, data stores that behave under load, and systems that stay debuggable
when things go wrong.
I work across Python, Go, Java, C#, and TypeScript, and I reach for the right tool for the job—not the
loudest one.
I love creating systems that remain calm and collected, no matter how
chaotic the world around them gets.
From intern to production engineer: services, pipelines, and platforms that had to stay fast, observable, and dependable.
Architecting and scaling backend services for a growing user base, with a focus on maintainable microservices, automated delivery, and spec-driven development.
Built and operated backend and microservices in production, with emphasis on latency, automation, and observability.
Strengthened quality and performance through load testing, test automation, and tighter CI integration.
Coursework: Network Structures & Cloud Computing, Data Engineering, Generative AI, Machine Learning, Software Quality.
Core computer science and software engineering fundamentals.
A few things I’ve built around observability, reliability, robotics, simulation, and software that has to behave well under real constraints.
C++ tracing infrastructure using gRPC and W3C context propagation. Ingests 10K spans/sec with sub-30ms latency; Cassandra-backed storage with p95 queries under 200ms.
Autonomous incident-response agent using the Claude SDK and MCP tools, with PostgreSQL checkpointing and time-travel debugging, plus a three-layer MCP security model.
Snowflake and Snowpark pipeline that ingests cryptocurrency pricing from Yahoo Finance and CoinGecko, stages data in S3, and models raw, harmonized, and analytics layers for market insights.
Multi-agent travel assistant that builds personalized itineraries through conversation, combining semantic search with real-time flight, hotel, weather, events, and places APIs.
Research assistant that combines Snowflake metrics, Pinecone-backed quarterly-report retrieval, and web search agents to generate comprehensive company research reports.
Retrieval pipeline for NVIDIA quarterly reports with Airflow orchestration, multiple chunking strategies, ChromaDB, FAISS, and Pinecone options, plus FastAPI and Streamlit query interfaces.
Streamlit and FastAPI application that lets users upload or select parsed PDFs, summarize documents, and ask document-aware questions through multiple LLM providers using LiteLLM.
Legal research system over Massachusetts Reports from 1768 to 2017, combining Pinecone RAG, current web search, synthesis agents, an MCP server, and a Streamlit interface.
SEC financial statement data platform with Snowflake storage designs, Airflow and S3 pipelines, DVT validation, and a FastAPI plus Streamlit interface for analysts.
Consolidated Snowflake lab work covering Snowpark Python pipelines, data frames, in-warehouse transformations, notebooks, and data engineering quickstart implementations.
Platform for extracting and standardizing content from PDFs and web pages into Markdown, storing artifacts in S3, and exposing workflows through FastAPI and Streamlit.
Reference repository for microservices patterns and quick implementations, focused on practical service architecture concepts for distributed backend systems.
Kubernetes-deployed ML system that detects sensitive information in user prompts and AI responses using transformer token classification, Helm deployment, and Grafana monitoring.
Cloud-native async ingestion service in Rust with Axum REST endpoints, Tokio concurrency, typed state transitions, trait-based storage, and Azure Blob Storage support.
Container-ready FastAPI service with health checks, user CRUD endpoints, Pydantic validation, pytest coverage, Docker Compose support, and a Makefile-driven local workflow.
Multi-tenant B2B SaaS starter with Next.js 15, NextAuth, Prisma, PostgreSQL, tenant-scoped routing, RBAC, complete data isolation, and project/task management primitives.
Java microservices architecture for an e-commerce platform that separates command and query workloads to scale product browsing, inventory updates, and purchase workflows independently.
Realtime chat application using Socket.io for bidirectional messaging, automatic reconnection, rooms, broadcasting, and browser-friendly realtime communication patterns.
Personal copy of the TravelBuddy multi-agent planning system with conversational itinerary generation, semantic recommendations, travel API integrations, and analytics-oriented data flows.
RAG research system that orchestrates Snowflake, Pinecone retrieval, and web search agents through LangGraph, with FastAPI, Streamlit, and Docker-based deployment.
Snowflake quickstart implementation for building data engineering pipelines with Snowpark Python, including in-warehouse transformations and pipeline-oriented development workflows.
FastAPI and Streamlit application for managing an online bookshop, with inventory workflows, search, real-time stock tracking, and a simple Python full-stack deployment shape.
Notebook-based extraction project focused on parsing PDF content for downstream big-data and intelligent analytics workflows.
Go low-level design project for portfolio management, watchlists, order validation, execution coordination, stock inventory tracking, and user funds management.
AWS-focused cloud application with Node.js APIs, Terraform infrastructure, Lambda email verification, RDS, Packer-based AMI builds, and CI/CD automation.
Structured Go learning repository with examples and exercises covering language fundamentals, practical syntax, web API concepts, and hands-on programming patterns.
Data analysis and machine learning notebook project for forecasting the 2024 U.S. presidential election using historical election results, demographics, polling data, and visualizations.
Video streaming platform concept for uploads, playback, adaptive transcoding, object storage, authentication, and deployment using a modern TypeScript web stack.
Snowflake notebook quickstart implementation for building and documenting data engineering pipelines inside notebook-driven workflows.
Machine learning tool that analyzes sleep and lifestyle patterns to detect potential disorders such as insomnia and sleep apnea through a Streamlit interface.
Crowdfunding web application for presenting causes and supporting donation-oriented user flows through a lightweight HTML-first interface.
MERN food delivery application with Auth0 authentication, menu browsing, cart and order flows, realtime updates, Cloudinary image uploads, and Stripe payments.
Backend, cloud, and platform roles are the best fit. I’m especially interested in teams working on
distributed services, Kubernetes, CI/CD, observability, or software that has to stay dependable under load.
If that sounds close to what you’re building, I’d be glad to talk.