Shobhnik

👋 Hi, I am Shobhnik

A reliable software engineer based in India, the one you’ll regret not working with

22, he/him

about me.

I’m a software engineer with a passion for building (and occasionally breaking) innovative products. While I’m comfortable across the stack, I specialize in backend development, designing scalable systems, crafting clean APIs, tackling complex data challenges, and following to LLD & HLD principles. With over 2 years of experience, I’ve leveraged modern web technologies to deliver fast, reliable, and practical solutions that make a real impact.

Developers or organizations, who are building great softwares or businesses. Interested in working together? Feel free to schedule a meet!

Resume

worked as.

Backend Engineer, Xane AI

Jan 2026 – Present

Gurugram, Haryana, India (On-site)

Working as a Backend Engineer building scalable backend services and system architectures for AI-powered products.
Designing and optimizing APIs and data pipelines using Node.js, TypeScript, and modern backend practices.
Collaborating with product and ML teams to deliver high-performance and reliable systems in production.

Software Engineer, Otomashen (E-solutions)

Feb 2025 – Jan 2026

Noida, India (On-site)

Built and scaled a high-throughput EDI/X12 processing engine handling 20K+ claim files and millions of encrypted denial records, driving a 166% revenue increase.
Optimized backend services in Node.js/TypeScript with query tuning, indexing, and caching; reduced API latency from 10s → <1s at scale.
Engineered a real-time dispatch system for proximity-based doctor matching, request lifecycle (accept/decline), and instant notifications.
Delivered 4 production-grade client systems, led one end-to-end as Lead Developer, owning architecture and execution.

Full Stack Developer, Stealth Startup

Aug 2024 – Jan 2025

Remote

Owned the product end-to-end as the sole engineer, building all frontend workflows and integrating backend APIs from design to production.
Architected the complete backend system, designing scalable architecture, database schema, and core processing workflows.
Built a high-throughput notification pipeline using Node.js/TypeScript, BullMQ, Redis, PostgreSQL, and Socket.io, delivering thousands of notifications per second; implemented vector search for fast large-scale retrieval.
Developed a production-grade AI agent using LangGraph, LangChain, and Gemini for complex workflow automation.
Scaled the platform to 200–250 active users managing 500K+ production records in production.