I’m a Full-Stack Developer specializing in Python (Django) and Angular, with 4 years of hands-on experience building real-world SaaS platforms, booking systems, admin dashboards, and large-scale file management tools. I help businesses streamline workflows and launch powerful, scalable web applications.
My key strength lies in handling both backend logic and frontend user experience, with projects spanning across finance (mutual funds), event/expo management, golf booking systems, and college recommendation tools.
What sets me apart is my ability to:
Build complete systems from scratch (API to UI)
Integrate real-time data (email, scraping, NAV feeds)
Optimize large-file uploads (100+ GB) with chunked logic
Deploy and manage apps on Linux servers via Plesk
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Tech Stack: Django (Backend), REST APIs, HTML Templates
Created an event stall booking platform where admins could define hall layout, allocate stalls, and manage status (booked, pending, blocked). Users book via REST APIs; the system prevents double booking and supports visual layout rendering.
Database: MySQL
Impact: Streamlined stall management for large expos with real-time tracking.
Tech Stack: Django (Backend), Angular (Member/Admin), HTML Templates (Public)
Built a 3-portal system: public site, member subdomain, and admin dashboard. Members book tee times with guests in 8-min intervals; admins manage members, courses, and send login credentials via email. Enquiries convert to members directly.
Database: MySQL
Impact: Enabled seamless booking, automated member onboarding, and multi-role access.
Tech Stack: Django (Backend), HTML Templates, JavaScript
Developed a drive-like system to upload, split, and store files over 100 GB using chunked upload logic. Supports multiple formats, rename, delete, and folder management.
Database: MySQL
Impact: Enabled fast, browser-based file handling without cloud dependency.
Tech Stack: Django (Backend), HTML Templates, Web Scraping
Scraped TNEA official data to create a tool where students enter cutoff marks to view eligible colleges and courses. Filters based on branch, category, and location.
Database: MySQL
Impact: Helped students simplify college selection using real-time government data.
SaaS Platform for Mutual Fund Advisors
Tech Stack: Django (Backend), Angular (Frontend)
Built a SaaS application to help mutual fund advisors automate and manage client portfolios efficiently. The system fetches real-time NAV data from AMFI and processes transaction reports from CAMS and KFinTech directly through email. It includes secure backend services for data fetching, parsing (PDF/Excel), and portfolio mapping.
Advisors get a centralized dashboard with daily portfolio updates, transaction summaries, and NAV tracking—removing the need for manual data entry and improving service accuracy.
Key Features:
Automated NAV data scraping and fund mapping
Daily email parsing from CAMS & KFinTech with attachment extraction
Real-time portfolio tracking via Angular frontend
Scalable backend with secure authentication and logging
Database: PostgreSQL
Impact:
Reduced manual work
Delivered fast, accurate investment insights
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