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, Uttar Pradesh, India (On-site)

Built a custom EDI parser capable of processing 20K+ files (~6M encrypted records) in minutes and scaled it to handle thousands of requests per minute.
Optimized backend systems using Node.js, PostgreSQL, and Redis, reducing API latency from 7–8s → <500ms.
Developed event-driven microservices using Kafka and integrated Grafana and Prometheus for system monitoring and observability.
Built internal tools including RBAC, bulk file upload, dashboards, and a job scheduler using BullMQ and Redis.
Contributed to frontend and API development using React, Node.js, and also optimized the overall database performanceby indexing, query optimization, schema redesign and caching strategies.

Full Stack Engineer, Stealth Startup

Aug 2024 – Jan 2025

San Francisco, California (Remote)

Owned and built the entire ticketing system as the sole developer from design to production.
Designed backend architecture, database schemas, and core ticket-processing workflows.
Built a scalable notification pipeline using BullMQ, Redis, PostgreSQL, Socket.io, and Node.js/TypeScript, delivering thousands of notifications per second.
Implemented RBAC + multi-tenancy and developed an AI agent using LangGraph, LangChain, and Gemini for automated ticket assignment and closure.
Scaled the platform to 200–250 users and 100K+ tickets in production.