NODE · GO
BACKEND
Engineer
I design the monolithic backend structures that dictate how digital platforms scale. Building APIs that process 100K+ daily requests without a single point of failure.
45% Throughput Boost
0
15K Concurrent Users
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400ms Avg Response
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99.9% Uptime
0
BEHIND
the
CODE
I am a Backend Software Engineer based in Patna, equipped with a Master's in Computer Applications from Chandigarh University. For the past four years, I've specialized in designing high-throughput, fault-tolerant microservices utilizing Node.js and Go.
"Shubham doesn't just write endpoints; he anticipates how systems fail under load. Hopping on a call with him to pinpoint an issue is a masterclass in debugging." — Avneesh & Vicky, Engineering
My engineering philosophy is rooted in eliminating bottlenecks. Recently, I've been expanding my infrastructure capabilities by integrating multiple LLM providers via API keys directly into Node environments. When I step away from the terminal, my focus shifts to exploring human performance through nutrition and food science.
Production Deployments
The Challenge
Smart link routing infrastructure that detects device, OS, and app install state to deliver users to precise destinations under heavy load.
The Architecture
Client -> Route 53 -> Load Balancer -> Node.js Microservice -> Redis Cache
The Impact
Engineered an enterprise-scale solution capable of handling millions of requests with latency strictly under 18ms and 99.97% uptime.
The Scope
Reworked an influencer marketing SaaS backend by fixing code-quality issues across the codebase, refactoring core services, implementing multiple section APIs, and moving heavy flows into async processing.
Performance
Improved maintainability and throughput by offloading selected workloads to BullMQ-based async processing while standardizing multiple section APIs across the platform.
The Architecture
Client -> Node.js API -> BullMQ Workers -> Firebase Analytics -> Section Services
The Challenge
Scalable admin platform supporting hierarchical role-based access across a large public-sector department while serving massive internal workloads.
The Solution
Nginx -> Node.js/Express -> Query Optimizer -> Redis -> MySQL Cluster
The Impact
Optimized complex MySQL queries across a 40M+ record database, cutting data retrieval times by 70% while supporting 15,000+ concurrent administrators.
The Challenge
Re-architected a legacy loan management backend for a flagship public-sector financing program with an emphasis on security, resilience, and delivery velocity.
The Architecture
Client -> JWT Auth Gateway -> Node.js API -> MySQL Master/Slave DB
The Impact
Engineered 25+ RESTful API endpoints with 85% test coverage and standardized Dockerized delivery flows that cut deployment time by 60%.
The Concept
AI learning agent that converts web content, YouTube videos, and PDFs into Markdown notes and Anki flashcards synced to Notion.
The Workflow
Source URL -> Extractor -> LLM Pipeline -> Markdown Notes -> Anki and Notion Sync
The Impact
Automated the full study-material pipeline so learning inputs become reusable notes and spaced-repetition assets in a fraction of the manual time.