I'm a B.Tech Computer Science Engineering student specializing in Artificial Intelligence & Machine Learning (2023β2027), based in Hyderabad.
I build intelligent software at the intersection of:
Artificial Intelligence Β· Machine Learning Β· Computer Vision Β· LLMs Β· Full-Stack Engineering
My goal isn't simply to train models.
I build complete systems that turn AI research and engineering into useful real-world products.
From biometric attendance systems and deepfake detection to full-stack applications and intelligent analytics platforms, I enjoy taking an idea from problem β architecture β implementation β deployment.
| π€ AI Systems | ποΈ Computer Vision | π Full-Stack |
|---|---|---|
| ML Models | Object Detection | Django |
| Deep Learning | Face Recognition | React |
| LLM Applications | Image Analysis | REST APIs |
| RAG Pipelines | Video Processing | Databases |
| Predictive Analytics | Media Forensics | Authentication |
Computer Vision Β· Django Β· OpenCV Β· Deep Learning Β· REST API
A smart-campus attendance platform designed to automate student attendance using biometric face recognition.
- π₯ Real-time face detection and recognition
- π± Webcam and mobile-camera support
- π Biometric-based student verification
- π Automated attendance with timestamps
- π Admin dashboard and attendance reporting
- π CSV-based report export
- β‘ Designed for real-time processing
- π§© Modular architecture for future ML improvements
Tech: Python Django OpenCV Deep Learning SQLite REST API Bootstrap
Media Forensics Β· CNN Β· Transfer Learning Β· Computer Vision
An AI-based media authenticity system designed to classify manipulated or AI-generated visual content.
- π§ CNN-based binary classification
- π Real vs. manipulated media detection
- π Confidence-based predictions
- π Transfer-learning architecture
- π§© Modular inference pipeline
- π¬ Exploration of Transformer-based approaches
- π‘ Designed for future image/video analysis expansion
Tech: Python PyTorch CNN OpenCV Transfer Learning Flask
Full-Stack Engineering Β· Django REST Framework Β· React
A complete e-commerce application combining a Django backend with a modern React frontend.
- π Authentication and authorization
- π€ Role-based access
- ποΈ Product management
- π Shopping cart workflow
- π³ Checkout and payment integration hooks
- π¦ Order lifecycle management
- π RESTful API architecture
- π± Responsive frontend experience
Tech: Django DRF React MySQL JWT Bootstrap
| Area | Focus |
|---|---|
| π§ Machine Learning | Classification Β· Regression Β· Feature Engineering Β· Model Evaluation |
| ποΈ Computer Vision | OpenCV Β· YOLO Β· Face Recognition Β· Object Detection |
| π₯ Deep Learning | CNNs Β· Transfer Learning Β· PyTorch Β· TensorFlow |
| π€ LLM Engineering | Hugging Face Β· Prompt Engineering Β· RAG Β· AI Applications |
| π Data Science | EDA Β· Data Cleaning Β· Visualization Β· Predictive Analytics |
| βοΈ ML Engineering | Model Pipelines Β· APIs Β· Deployment Β· Integration |
| π AI + Web | Django Β· Flask Β· REST APIs Β· React |
| ποΈ Intelligent Systems | Real-Time Processing Β· Automation Β· AI-powered Applications |
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β CURRENT FOCUS β
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β ποΈ Advanced Computer Vision & YOLO Fine-Tuning β
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β π§ Vision Transformers & Attention Architectures β
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β π€ LLM-Powered Applications & RAG Pipelines β
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β βοΈ Scalable Django + React Architectures β
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β π Real-Time AI Analytics & Dashboards β
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β π Secure Biometric & Intelligent Systems β
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β π Production-Oriented ML Engineering β
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- π Built a biometric attendance system under hackathon constraints.
- π Took projects from idea β working implementation β usable interface.
- π€ Worked in collaborative and fast-paced development environments.
- π§ Focused on solving practical problems rather than building models in isolation.
- β‘ Comfortable learning unfamiliar technologies when a project requires them.
- π‘ Interested in turning experimental AI ideas into scalable applications.
I'm interested in opportunities where I can combine AI engineering with real-world software development.
| Opportunity | Interest |
|---|---|
| πΌ AI / ML Internships | βββββ |
| π§ Machine Learning Projects | βββββ |
| ποΈ Computer Vision Projects | βββββ |
| π€ LLM / RAG Applications | βββββ |
| π Hackathons | βββββ |
| π¬ Research Collaboration | ββββ |
| π± Open Source | ββββ |
| π» Full-Stack Projects | ββββ |
Problem β Data β Model β API β Application β Impact
I believe good engineering is about more than writing code.
It's about understanding the problem, choosing the right architecture, building reliable systems, measuring results, and continuously improving.
Build things that are useful. Learn things that are difficult. Solve problems that matter.