Hi, I'm Prajwal Negi
Full Stack Developer
Building scalable web applications and automation systems with modern technologies. Passionate about creating innovative solutions that bridge software and hardware.
About Me
I'm a BTech student at Netaji Subhas University of Technology. My journey combines the precision of automation with the creativity of full-stack development.
I've worked on diverse projects ranging from AI-powered web applications to industrial automation systems, always striving to create solutions that are both technically robust and user-friendly.
When I'm not coding, you'll find me exploring deep learning, competing in quant championships, or experimenting with computer vision projects.
Education
BTech in Instrumentation and Control Engineering
Netaji Subhas University of Technology
Relevant coursework: Data Structures & Algorithm, Software Engineering, Web Development, Deep Learning Enthusiast
Skills & Technologies
Frontend
Backend
Database
Tools & Others
Experience
FullStack Developer
BRO PG
- Developed and maintained React-based web application serving 100+ users
- Help in reducing the load of owner by arranging things online
- The PG-Owner can see the Complaints posted by his guests and can update the status of the problem
- Implemented REST APIs using Node.js and Express framework
- Create listing of the properties of the PG Owner
Research Intern
World Quantz
- Simulate alphas to refine and improve their predictive performance improving test pass rates from 78% to 87%.
- Researched behavioral finance principles by examining 80+ trading case studies.
- Competited in the International Quant Championship 2025.
- Promoted to Research Consultant.
Instrumentation Intern
Bry Air(ASIA)
- Explored industrial dehumidifiers and their 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.
- Learned to read electrical drawings and observed machine calibration and testing.
Featured Projects
A collection of projects showcasing my expertise in full-stack development, AI integration, and computer vision.
BroCars
Developed a full-stack web application that streamlined the online car sale and purchase process. Built with Next.js, Shadcn, TypeScript, Express.js (integrated with DDoS protection), and MongoDB, the platform ensures high performance and robust security. The app features secure authentication for smooth and reliable account management. Users can request test drives, upload their car listings, and filter vehicles based on brand, model, and price. An admin dashboard was created to manage and moderate car submissions and test drive requests, along with interactive sales reports and analytics tools.
Code Hatch
CodeHatch is a dedicated educational platform meticulously designed to serve as the ultimate centralized resource for college students pursuing technology careers. The project successfully aggregates and curates over 60 high-quality coding and computer science resources across 13 crucial categories, from mastering Data Structures & Algorithms (DSA) to building expertise in advanced fields like AI/ML, DevOps, and System Design. Its core feature is the 4-Year Coding Journey — a structured, syllabus-driven roadmap and success timeline explicitly crafted to guide users from a foundational understanding to becoming competitive, industry-ready software developers.
AI Fashion Analyzer
Built an AI-powered web application using Next.js, TypeScript, Shadcn, and Gemini to enhance user engagement and drive sales. Integrated modern and secure authentication through Clerk, along with robust middleware protections, leading to improved user trust and retention. The app introduced a cutting-edge AI-driven style assessment feature that analyzes user-uploaded photos to predict age and body measurements with high accuracy, enabling highly personalized shopping experiences.
LawScope
Developed Lawscope, an intelligent legal assistant web app built with Next.js, TypeScript, Shadcn, and Gemini. The platform empowers users to upload PDFs or plain text documents, which AI then analyzes & simplifies into clear, easy-to-understand language—making complex legal terms accessible to everyone. Lawscope also offers a feature where users can describe their real-life legal situations while taking on roles such as landlord, renter, employee, employer etc.
Savi Collection
Golden Era Gym
Other Projects
Coffee Machine using Hand Gesture Recognition
This interactive virtual coffee machine utilizes hand tracking to allow users to make coffee selections using finger gestures without any physical touch. Using a webcam feed, the system detects specific finger patterns to navigate through multiple selection stages such as choosing the type of coffee, sugar quantity, and milk preference.
Volume Control Using Hand Gestures
This real-time computer vision project enables users to control system volume using simple hand gestures—specifically the distance between the thumb and index finger. By tracking hand landmarks with a webcam, it dynamically adjusts the volume based on finger distance, displaying a visual bar and percentage overlay.
Virtual Keyboard
This project implements a virtual keyboard that allows users to type by interacting with an on-screen QWERTY keyboard using hand gestures captured from a webcam. Using computer vision and hand landmark detection, it tracks finger positions to detect which key the user is 'hovering' over and simulates key presses when a pinch gesture is detected.