Gwaz 9
@gwaz9
I build full-stack web applications with React, Express, and PostgreSQL—focused on reliable payments and data integrity.
What I'm looking for
I build full-stack web applications end to end, with React, Express, and PostgreSQL at the core. I’m especially drawn to problems where correctness matters—like slot scheduling, server-verified payments, and enforcing rules at the database level.
On DocDock, I implemented scratch-built appointment slot booking, preventing double bookings and handling cancellation edge cases. For payments, I integrate Razorpay with server-side verification, so I don’t rely on the frontend to confirm payment. I also designed role-separated user experiences and built a doctor dashboard that computes earnings and unique patient counts safely.
I also like projects that demand practical engineering: I built a session-protected Helmet Detection System using Streamlit, YOLOv5, and OpenCV, with confidence tuning and audit-ready snapshots. And through my Personal Database Management System, I used raw SQL and PL/pgSQL with triggers and views across multiple schemas to ensure business rules always run—no matter which app connects.
Experience
Work history, roles, and key accomplishments
Personal Database Management
Personal Project
Designed a PostgreSQL 16+ multi-schema personal finance and habit tracking database using raw SQL and PL/pgSQL. Enforced business rules with trigger functions (e.g., course status updates, finance validation, todo completion timestamps) and exposed reusable analytics via views.
DocDock Appointment Platform
Personal Project
Built DocDock, a multi-role healthcare appointment and payment platform with separate patient, doctor, and admin React experiences. Implemented 30-minute slot generation across 7 days with double-booking prevention, and verified Razorpay payments server-side before marking appointments as paid.
Helmet Detection System
Personal Project
Developed a session-protected video inference tool that detects motorcycle riders without helmets using YOLOv5 and OpenCV. Tuned detection to a 0.92 confidence threshold, ran inference on every 3rd frame for responsiveness, and saved cropped violation snapshots for review.
Education
Degrees, certifications, and relevant coursework
Thapar Institute of Engineering and Technology
Bachelor of Engineering, Computer Engineering
Pursuing a Bachelor of Engineering in Computer Engineering at Thapar Institute of Engineering and Technology.
FIITJEE International College
Grade XII
Completed Grade XII at FIITJEE International College.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
github.com/SudheerMM6/DocDockJob categories
Interested in hiring Gwaz?
You can contact Gwaz and 90k+ other talented remote workers on Himalayas.
Message GwazFind your dream job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
