Senior Full Stack Developer & Architect
I'm Avinash Purohit, a Full-Stack Software Engineer with 2+ years of professional experience building scalable production systems and shipping distributed web platforms serving 5,000+ active users.
My journey in software engineering started with a curiosity for how complex systems operate under the hood. Combining logical rigour from my B.Sc., a structured foundation from my Diploma in Software Development, and advanced studies in my BCA, I carved out a path specializing in high-performance backends and scalable systems.
With 2+ years of professional experience as a Full-Stack Software Engineer, I have built and delivered 8+ distributed production applications across pet tech, e-commerce, industrial manufacturing, and EdTech verticals, collectively serving over 5,000+ active users.
I specialize in backend engineering, RESTful API design, microservice architectures, secure authentication (RBAC, JWT, OAuth2), and performance optimization: routinely reducing API response latencies, managing multi-domain deployments, and designing highly available systems.
Java / Spring Boot / Node.js
System Design / Scalability
React / Next.js / TypeScript
MongoDB / MySQL / Redis
I am actively building out in the open and contributing to the community.
QR-based pet identification platform featuring secure owner notifications, privacy locks, medical records, and an integrated product store.
Engineered the absolute backend services, automated cloud deployment pipelines, administrative control panels, and location dispatching mechanisms. Maintained a secure database structure while UI efforts were focused on dashboard management.
platform
QR & E-Commerce
infosec
Privacy Protected
deployment
AWS Stack
High-performance product catalog and lead generation platform for a global industrial EMI/EMC filter and EV charger manufacturer.
Deployed across 4+ international top-level domains (.in, .de, .uk) with zero-downtime release pipelines. Handled complete backend engineering, SEO optimizations, Docker containerization, and multi-domain mapping setups.
domains
in, de, uk, etc.
pipeline
Zero-Downtime
catalog
EMI / EMC Filters
Customized promotional products e-commerce system featuring secure checkouts, order administration, dynamic inventory management, and invoice generation.
Architected complete order processing database backend, payment integrations, and administrative dashboards. Engineered optimal product variant tracking and structured client checkout sessions.
payments
Gateway Sync
inventory
Real-time Update
model
B2B & B2C Portal
Comprehensive educational search database indexing over 5,000+ colleges with high performance filtering and caching structures.
Designed query optimizations and structured schema indexing to support faceted filter options, achieving sub-200ms query latency times on complex college lookup operations.
latency
Sub-200ms
capacity
5,000+ Colleges
caching
Optimized Pools
Specialized services, client applications, and utility platforms.
Built a production-ready LMS supporting 500+ concurrent users featuring course builders, instructor dashboards, real-time client communication, and video streaming endpoints.
A full-stack gift e-commerce solution with product cataloging, secure payment checkouts, and custom order tracking handling 1,000+ daily active users.
Bespoke navigation system using the Google Maps API with custom routing logic to locate and optimize path coordinates for a private enterprise client.
Enterprise systems, Spring framework
ES6+, dynamic applications, Node.js
Data pipelines, scripting, relational queries
Data structures & foundational algorithms
App Router, SSR, Server Components
Hooks, Context API, rendering optimization
Clean semantics, structured styling
Utility-first layout, custom design tokens
Microservices, Spring Security, robust REST APIs
Scalable Event-driven APIs, fast serving
Classic MVC, routing, template handling
Optimized contracts, query optimization
NoSQL document schema design & queries
Relational optimization, joins, indexing
Enterprise PL/SQL and stored procedures
Session handling, high-performance API caching
EC2 instances, S3 storage, custom clouds
Environment replication, image builds
Automated pipelines, multi-branch workflow
Multi-domain reverse proxy setups
High availability, distributed architectures
RBAC, JWT, OAuth2 secure flows
Unit testing coverage, weekly sprints
Custom location routing & GPS logic
Next.js / Framer
JWT / Nginx
Spring Boot / Node
MySQL / MongoDB
Deployment on Linux VPS using Nginx as a reverse proxy, with SSL termination and security hardening at the OS level.
Designed with a modular approach to support horizontal scaling and microservices migration as the system grows.
Comprehensive authentication using Spring Security and NextAuth, implementing secure cookie handling and token rotation.
RapidDigitalGrowth, New Delhi, India
Designing and shipping 8+ production web applications end-to-end spanning pet tech, e-commerce, B2B, and EdTech vertically. Reduced backend service latencies by 40% through Redis caching, connection pooling, and multi-threaded request processing. Deployed zero-downtime, multi-domain CI/CD pipelines across global ccTLDs and secured admin systems with RBAC, JWT, and OAuth2.
Mangalayatan University, Delhi
Engaged in detailed theoretical and practical studies in computer applications. Core coursework: Data Structures & Algorithms (DSA), Database Management (DBMS), Software Engineering, and System Design.
Arth Institute, Delhi
Acquired deep foundational expertise in full-stack web technologies, object-oriented concepts, OOP software logic, database architecture design, and modern frontends.
IGNOU, Delhi
Cultivated rigorous logical thinking, science framework analysis, and analytical problem-solving models for high-level technical challenges.
Documenting my journey through complex architectures and system design patterns.
Learn how I optimized APIs for 10,000+ colleges using MongoDB indexing, aggregation pipelines, and Redis caching. See how caching and background data refresh helped reduce database queries, improve scalability, and bring API response times under 80ms.
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