I build AI-integrated web applications that connect production-ready interfaces, secure backend systems, and practical machine learning workflows.
Fresh Software Engineering graduate from FAST NUCES Islamabad, focused on full-stack AI products, computer vision systems, intelligent dashboards, and backend APIs. My work combines modern web engineering with applied ML: object detection, person re-identification, vector search, RAG pipelines, authentication, role-based access control, and real-time alerting.
I am currently looking for opportunities in:
- Full-Stack AI Engineering
- Machine Learning Engineering
- Computer Vision Engineering
- Backend/API Engineering for AI products
| Area | Tools |
|---|---|
| Languages | Python, JavaScript, TypeScript, Java, .NET |
| Frontend | React, Next.js, Tailwind CSS |
| Backend | Node.js, Express.js, NestJS, FastAPI, REST APIs |
| Auth & Security | JWT, RBAC, Google OAuth, 2FA |
| Databases | PostgreSQL, MongoDB |
| AI/ML | PyTorch, TensorFlow, Hugging Face, OpenAI API, LangChain, RAG |
| Computer Vision | OpenCV, YOLO, MediaPipe, Torchreid, FAISS |
| Tools | Git, Docker, Postman, Linux, Kaggle, Jupyter Notebook, WebSockets, RTSP |
Computer Vision-Powered Surveillance System
AI/ML-led surveillance platform for detecting shoplifting, loitering, pickpocketing, cash skimming, crowd density, and crowd flow from CCTV/video streams.
- Trained YOLO-based detection workflows using PyTorch, OpenCV, TensorFlow, MediaPipe, and custom datasets.
- Implemented person re-identification with Torchreid trained on Market-1501.
- Added FAISS-based similarity search for identity matching.
- Integrated alert dashboard, evidence gallery, RTSP streams, WebSocket alerts, Google OAuth, and 2FA.
Tech: Python, PyTorch, OpenCV, YOLO, Torchreid, FAISS, RTSP, WebSockets, Next.js, NestJS, PostgreSQL
YOLOv11s-based safety equipment detection system for ICU environments.
- Built a custom-labeled dataset for masks, gloves, gowns, and shoe covers.
- Trained and evaluated object detection workflows for SOP compliance use cases.
Tech: Python, YOLOv11s, OpenCV, custom datasets
Document-based AI assistant with vector retrieval and a web interface.
- Built retrieval workflows using LangChain, OpenAI API, and vector search.
- Exposed assistant functionality through REST APIs and a React interface.
Tech: LangChain, OpenAI API, React, REST APIs, vector retrieval
AI-powered resume analysis tool for ATS-style screening and candidate feedback.
- Implemented NLP-based keyword matching and LLM-generated feedback.
- Created scoring logic for resume quality and role alignment.
Tech: NLP, LLMs, Python, React
June 2025 - August 2025 | Remote
- Developed full-stack modules using Next.js, NestJS, and PostgreSQL.
- Built responsive UI components, routing, state management, REST APIs, JWT authentication, RBAC authorization, security handling, and API performance improvements.
June 2024 - August 2024 | Remote
- Prepared multilingual bank receipt datasets through annotation, cleaning, preprocessing, visualization, and reporting.
- Trained and evaluated ML models using Python, NumPy, Pandas, Scikit-learn, and Jupyter Notebook.
BS Software Engineering
FAST NUCES Islamabad | 2022 - 2026
Relevant coursework: Data Structures, Database Systems, Operating Systems, Applied AI, Computer Networks, Web Engineering, NLP, Software Project Management.
Head of Information and Coordination
Software Engineering Society, FAST NUCES Islamabad
Managed communication, coordination, task updates, and information flow between society members and internal teams.
