Full Stack Developer

HARSHIT SHARMA

Full Stack Developer

+91-936******* *****************@*****.*** Bengaluru Linkedin Portfolios Github Leetcode SUMMARY

Full-Stack Software Engineer with 2.5 years of experience specializing in high-performance TypeScript and Python ecosystems. Expert in Next.js 14, NestJS, and AWS Cloud infrastructure, with a proven track record of architecting scalable SaaS platforms and optimizing database performance. Committed to building production-grade, AI-ready solutions with a strong focus on Clean Architecture and test coverage.

SKILLS

Programming Languages: TypeScript, JavaScript (ES6+), Python, SQL Backend Technologies: NestJS, Next.js 14, Node.js, FastAPI, REST, GraphQL, BullMQ, Apache Kafka (Producers/Consumers, Topics/Partitions)

API Development & Testing: JWT-based Authentication, Secure API Design, Automated Data Workflows, Postman (Advanced API Testing, Collections, Environment Variables)

Frontend Technologies: React.js, Redux Toolkit, Tailwind CSS, Shadcn UI, Vite Databases & ORM: PostgreSQL, MongoDB, Redis, Drizzle ORM, TypeORM, Upstash Redis Cloud Services & DevOps: AWS (Lambda, S3, EC2), Docker, GitHub Actions (CI/CD) Testing Frameworks: Jest (Unit), Cypress (E2E)

Performance Optimization: Advanced Indexing, Query Refactoring, Redis-based Caching, Rate Limiting Microservices Architecture: Clean Architecture, Scalable Backend Development, High-performance APIs Real-Time Communication: Socket.io, Live Chat Integration, Real-time Analytics Deployment & Monitoring: Zero-downtime Releases, Real-time Error Tracking, Performance Monitoring Automation & Workflow Engines: Personalized Chatbot Engine, Event-driven Workflows WORK EXPERIENCE

Enphase Solar Energy Pvt Ltd Full Stack Developer Aug 2024 – Present Bengaluru

Developed production-grade microservices using NestJS, Next.js 14, and Drizzle ORM, implementing Clean Architecture to improve maintainability by 40% and support seamless horizontal scaling.

Designed secure GraphQL and RESTful APIs with JWT-based authentication and automated data workflows, reducing system latency by 25% through Redis-based caching and rate-limiting.

Created business-critical analytics dashboards using React and Tailwind CSS to process high-volume datasets across PostgreSQL and MongoDB, delivering KPIs that saved internal teams 15+ hours per week in manual reporting.

Improved data access patterns in PostgreSQL and MongoDB through advanced indexing and query refactoring, resulting in 30% faster execution for data-intensive modules.

Enhanced high-availability deployments on AWS using GitHub Actions, ensuring zero-downtime releases and automated environment provisioning for staging and production.

Fostered a robust testing culture by implementing automated test suites with Jest and Cypress, increasing code coverage from 40% to 85% and reducing regression bugs by 50%.

Performed extensive API testing and debugging using Postman, including automated collections and environment-based workflows.

Worked with distributed job-processing systems using BullMQ/Redis and followed Kafka-style producer/consumer patterns for asynchronous event-driven workflows.

Flux messenger Full Stack Developer Intern

Feb 2024 – Jul 2024

Enhanced core modules for a high-performance WhatsApp Business API SaaS platform, enabling seamless automation for marketing, sales, and support for enterprise clients.

Developed scalable backend features using React and BullMQ, processing over 150k+ daily bulk messages and drip campaigns while ensuring a 99.9% delivery success rate via Redis-based queuing.

Created responsive React.js dashboards for campaign management and real-time analytics, utilizing Socket.io to provide sub-100ms latency for live chat and status updates.

Designed complex integrations between external CRMs (Salesforce/HubSpot) and internal tools, automating lead nurturing workflows and reducing manual data entry by 60%.

Oversaw application deployment on AWS EC2 and implemented Amazon CloudWatch for real-time error tracking and performance monitoring, ensuring 99.9% system uptime during high-traffic campaigns.

Developed a personalized chatbot engine using Node.js, allowing businesses to automate customer interactions resulting in a 30% increase in user conversion rates for enterprise users. PROJECTS

GitHub Repository JobStream: High-Throughput Job Processing Engine Jan 2026 – Feb 2026 GitHub Repository

Technologies: NestJS, BullMQ, Redis

Developed an asynchronous job importing service utilizing NestJS and BullMQ, offloading heavy XML/JSON parsing tasks to background workers to maintain an unblocked main thread.

Implemented a robust queuing system with Redis, managing job persistence and automatic retries to avoid system crashes during traffic spikes.

Created a real-time monitoring dashboard for tracking job progress and failure events using BullMQ listeners. GitHub Repository MyTube: Advanced Video Sharing Platform Apr 2025 – Apr 2025 GitHub Repository

Technologies: MERN, Cloudinary

Developed a full-stack platform using React and Node.js, incorporating secure JWT-based authentication for user sessions.

Integrated Cloudinary with Multer to manage high-volume media uploads, including videos and thumbnails.

Created a responsive UI utilizing Redux Toolkit and Tailwind CSS, enabling smooth playback and real-time user interactions. GitHub Repository TaskGlitch: Enterprise Task Management Nov 2025 – Dec 2025 GitHub Repository

Technologies: React, TypeScript, Vite

Developed a high-performance Task Analytics Dashboard using React and TypeScript, featuring real-time tracking of revenue metrics, time-to-completion, and task-priority distribution.

Created a custom State Management architecture using React Context API and Custom Hooks, implementing complex logic for Optimistic UI updates and Undo/Redo functionality.

Designed a scalable component library (AnalyticsDashboard, ChartsDashboard, MetricsBar) to process and visualize business KPIs from structured datasets.

Implemented advanced utility modules for CSV data export and dynamic filtering, ensuring a responsive user experience for managing lead and prospect data.

GitHub Repository Pastebin-Lite: Serverless Snippet Sharing Feb 2026 – Feb 2026 GitHub Repository

Technologies: Next.js, TypeScript, Upstash Redis

Developed a serverless pastebin application using Next.js App Router and Upstash Redis, achieving sub-50ms data retrieval for snippet sharing.

Implemented automated data cleanup using Redis TTL (Time-To-Live) expiry logic, reducing cloud storage costs by automatically purging expired content.

EDUCATION

B.Tech in Mechanical Engineering

SunRise University, 73.38%

2022 - 2024

Diploma, Mechanical Engineering

Savitri Bai Phule, Government Polytechnic College, 78.90% 2015 - 2018

Secondary School (Class X)

S.N. Inter College, 89.50%

2015

Contact this candidate