Hello, I'm
Poorvik
Backend Developer
I build robust backend systems, train intelligent AI/ML models, and solve complex algorithmic problems.
Who am I?
I'm an AIML student who believes in building things that actually matter.
I enjoy working on ideas from scratch, taking responsibility, and seeing them through to completion. For me, the process matters just as much as the result — understanding problems, thinking through solutions, and improving with every step.
I value discipline, consistency, and clarity in the way I work. I'm always trying to grow — not just in technical skills, but in how I think, collaborate, and handle challenges.
More About MeData Structures & Algorithms TUF GFG
Development Stack
Leadership & Awards
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Things I've Built
Hostel Laundry Management
A full-stack application to manage hostel laundry operations, including booking, tracking, and administration.
- Laundry booking and scheduling system
- Order tracking with status updates
- Admin panel for managing requests
- Designed for multi-user usage
Banking Backend System
A backend-focused system simulating core banking operations with secure transaction handling.
- Account creation and management
- Deposit, withdrawal, and transaction processing
- Data validation and modular backend design
- Containerized for scalability
Fixy
An AI-powered system architecture platform that automates high/low-level designs and analyzes codebases to identify performance bottlenecks.
- Generates HLD and LLD from user requirements
- Analyzes existing codebases to identify bottlenecks
- Suggests scalability & performance improvements
- Guides system design from concept to production
Missing Person Detection System
A real-time AI system that detects and identifies missing individuals using CCTV video feeds and deep learning-based facial recognition.
- Face detection from CCTV streams using RetinaFace
- Feature extraction using ArcFace for high-accuracy recognition
- Fast similarity search using FAISS (vector database)
- Real-time matching against a stored identity database
Blind Spot Detection System
A real-time computer vision system that detects vehicles and objects in blind spots to improve driving safety.
- Real-time object detection from video/CCTV feed
- Detection of vehicles in blind spot regions
- Uses YOLO for accurate object detection
- Alerts for potential collision risks
MediCare
An accessible, voice-guided medicine reminder system built to help elderly patients manage medication regimens using camera-based pill verification.
- Accessible high-contrast UI with large typography
- Voice assistant integration (TTS and voice input)
- Camera-based pill verification (OCR & color AI)
- Simplified navigation & large tappable controls
Live Projects
Education
Open for Internships
Let's Work Together
I'm actively looking for internship opportunities where I can contribute, learn, and grow. If you think I'd be a good fit — let's talk.