Prajwal Negi
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Final-year B.Tech @ NSUT. Shipped production-grade distributed platforms with 6+ microservices, solved 1500+ DSA problems, and improved alpha accuracy 9pp at WorldQuant.
About Me
I'm a final-year B.Tech student at NSUT, specializing in scalable backend systems and microservices. My engineering spans from industrial automation to distributed software — giving me a unique lens on reliability and systems thinking.
I've shipped two production microservices platforms with 6+ independent services each, worked as a Research Intern at WorldQuant improving alpha accuracy by 9pp, and competed in hackathons including SIH and Walmart Sparkathon 2025.
Outside of code: quantitative finance, deep learning research, computer vision experiments, and competing in national-level sports.
Netaji Subhas University of Technology (NSUT)
B.Tech — Instrumentation & Control Engineering
Data Structures & Algorithms · System Design · Software Engineering · Deep Learning · Web Development
Skills & Technologies
Experience
Research Intern → Research Consultant
- ›Developed 10+ quantitative alphas using statistical modeling, improving predictive accuracy from 78% to 87% — a 9 percentage point gain.
- ›Analyzed 80+ behavioral-finance case studies, applying data-driven research methodologies to equity signal generation.
- ›Competed in the International Quant Championship 2025.
- ›Promoted to Research Consultant upon internship completion.
FullStack Developer
- ›Developed and maintained React-based web application serving 100+ users.
- ›Built complaint management system — guests post issues, owner updates resolution status in real-time.
- ›Implemented REST APIs using Node.js and Express, with property listing management for PG owners.
Instrumentation Intern
- ›Explored industrial dehumidifiers and integration into automation systems.
- ›Worked with contactors, relays, RTDs, and sensors for motor control and process automation.
- ›Programmed PLCs using CCW and built basic HMI control logics.
- ›Read electrical drawings and observed machine calibration and testing.
Featured Projects
Production-grade systems · Microservices · AI integrations · Full-stack applications
NextHire
Job Portal & Recruitment Platform
Architected a scalable microservices-based job portal with 5 independent REST API services (auth, user, jobs, payments, uploads) using Node.js & TypeScript. Engineered JWT + Redis token management, RBAC, and secure password reset via Nodemailer. Integrated Stripe for premium subscriptions, Cloudinary for media, Gemini AI resume analyzer, BullMQ async email queuing, rate limiting & DDoS protection. Configured Nginx API gateway for path-based routing across all services, read/write DB separation via Neon replicas, CI/CD with GitHub Actions, and centralized logging with Grafana Loki + Winston. Full Swagger API documentation.
MuscleKart
Supplement E-Commerce & Delivery Platform
Built a production-grade microservices platform for on-demand gym supplement ordering & delivery across 6 services (Auth, Store, Rider, Payment, Realtime, Job) using Node.js, TypeScript & MongoDB. Engineered event-driven architecture using RabbitMQ for async inter-service communication across payment, order & rider assignment pipelines with retry logic & fault-tolerance. Implemented real-time rider tracking, MongoDB geospatial queries for proximity-based store discovery, and Haversine distance calculation across 3 user roles (Customer, Rider, Owner/Admin). Integrated Stripe payments, JWT RBAC, deployed across Vercel, Render, CloudAMQP & MongoDB Atlas.
BroCars
Full-Stack Car Marketplace
Built a full-stack car marketplace using Next.js, ShadCN, TypeScript, Express.js (with DDoS protection) & MongoDB, ensuring 99.9% uptime and scalable performance. Enabled secure authentication, test drive requests, car listings with image uploads, and advanced filtering by brand, model & price. Developed a role-based admin dashboard managing 100% of listings & test drive requests, with interactive sales analytics improving operational oversight by 70%. Digitized 90% of traditional dealership processes, increasing verified sales conversions by 60%.
LawScope
AI-Powered Legal Assistant
Built a legal assistant web app using Next.js, TypeScript, ShadCN & Gemini AI that bridges the legal knowledge gap by simplifying complex legal documents uploaded as PDFs or plain text into clear, actionable language. Enables users to describe real-life legal scenarios (e.g., renter, employer) and receive AI-generated legal advice with relevant sections and recommended next steps.
Other Projects
CodeHatch
Tech Resource Hub for Students
Solved unstructured learning by curating a 4-year roadmap (DSA → MERN → ML/DL → Cybersecurity → Blockchain) trusted by 500+ students. Aggregates 60+ curated categories and 600+ hours of high-quality coding resources. Guides users from fundamentals to placement-ready through structured projects, hackathon prep, and industry-aligned learning paths.
BookMySalon
Online Salon Appointment Booking App
Cross-platform mobile app (Android & iOS) for real-time salon appointment booking using Flutter & Firebase. Implemented secure Firebase Authentication, Firestore-powered real-time booking management, dynamic service listings with pricing & availability, and responsive UI screens covering onboarding, service details, order tracking & profile management.
OpenCV Vision Suite
Hand Gesture Control Projects
Collection of real-time computer vision projects: virtual coffee machine with finger-pattern navigation, system volume control via thumb-index distance tracking, and a virtual QWERTY keyboard with pinch-gesture typing — all using webcam hand landmark detection.
Let's Work Together
Looking for a backend engineer who ships production systems, not just side projects? Let's talk.