Software Engineer 2 at JumpCloud with 4+ years of experience delivering secure, scalable SaaS systems across identity, integrations, and cloud platforms. I specialize in backend-heavy full-stack development with Go, Node.js, React, AWS, Azure, Kubernetes, and distributed systems design. I am open to international remote opportunities where I can drive measurable product and business impact.
A snapshot of the roles where I’ve built production systems, improved reliability, and shipped measurable engineering impact.
Software Engineer 2
Jan 2024 — Present
Remote
Design & Development Engineer
Jul 2022 — Dec 2023
India
A mix of production-facing backend work, shipped products, and selected learning projects that show breadth across systems, APIs, and product delivery.
Most relevant projects for backend, platform, and product engineering roles.
Built an AI-powered fitness and nutrition application with multi-provider LLM orchestration, context-aware prompt pipelines, social feed support, and reliable offline fallbacks.
Stacks
Realtime intraday signal dashboard for NSE equities built on Zerodha Kite WebSocket streams, supporting 4 swappable strategies (ORB, VWAP Crossover, Momentum, EMA Crossover), dynamic watchlists up to 500 symbols, per-signal stoploss computation, and live strategy switching without stream restart. Deployed with Docker, Traefik TLS, and GitHub Actions CI/CD.
Stacks
Production-grade Python Flask multi-tool workspace for content creators with transcript extraction, video stream selection, thumbnail downloads, SEO optimization, channel audits, and idea generation. Features resilient data sourcing via multiple providers (yt-dlp, pytubefix, transcript APIs), run history tracking with JSON API, Docker Compose deployment with PostgreSQL, and GitHub Actions CI/CD.
Stacks
Production-oriented Flask URL shortener (Shortly Studio) with Redis-backed redirect caching, async click analytics via queue workers, custom aliases and auto-generated codes, guest + authenticated user scopes, rate limiting, JSON API, and full VM deployment automation via GitHub Actions. Handles collision-safe code creation and resilient fallback to PostgreSQL for reliability.
Stacks
Earlier projects and learning work that show experimentation across full-stack, real-time systems, and machine learning.
ML-powered T20 score prediction app using Ridge Regression trained on historical IPL data (2008–2019), delivering real-time first-innings score range inference from live match context (teams, venue, overs, wickets). Productionized with Flask 3.x + Gunicorn, Docker, Traefik TLS, and GitHub Actions VM deployment.
Stacks
A real-time video chat app developed to explore WebRTC signaling and live communication using sockets.
Stacks
A machine learning project using KNN to estimate heart disease risk from medical attributes as part of my foundational ML learning phase.
Stacks
An NLP learning project with an ensemble of Naive Bayes, SVM, and Logistic Regression for tweet-based classification.
Stacks
Core tools and platforms I use to build reliable products end-to-end.
React, Angular, TypeScript, Tailwind
Golang, Node.js, Express, gRPC, OAuth, SCIM, SSO
DynamoDB, Cosmos DB, MongoDB, PostgreSQL, Snowflake
AWS, Azure, Kubernetes, Terraform, ArgoCD, DataDog, Redis
Golang, TypeScript, JavaScript, Python, C++, C#
Beyond my current role, this timeline shows how my journey evolved from core CS foundations to building production SaaS systems across backend, integrations, and cloud platforms.
It highlights key milestones in education, internships, full-time product engineering, and the transition into impact-focused platform work.
Started B.Tech in Computer Science at IIIT Nagpur
Joined Labcolabs as a Fullstack Developer Intern
Started Software Development Internship at Siemens Healthineers
Graduated with B.Tech CSE from IIIT Nagpur
Joined Siemens Healthineers as Design & Development Engineer
Joined JumpCloud as Software Engineer 2 (Remote)
Started building CalorieTaker AI health product
Open to international remote backend/full-stack roles
Messages processed with queue partitioning and worker-scaling architecture
ARR retention impact through production fixes and reliability improvements
Faster Snowflake reporting and analytics processing
Reduction in support dependency via AI chatbot automation
Algorithmic problems solved across coding platforms
CodeChef rating 1717 with global rank 411/24,541 in March Long Challenge
Received Spot Awards for high-impact delivery and ownership across product engineering initiatives