About Me
Proficient in building predictive models using Scikit-learn, Pandas, NumPy, and Matplotlib. Experienced in data preprocessing, feature engineering, and statistical analysis for actionable insights.
Advanced expertise in TensorFlow, PyTorch, and Keras. Specialized in CNNs, RNNs, Transfer Learning, and custom neural network architectures for complex problem solving.
Cutting-edge experience with GPT, BERT, LangChain, and AutoGen. Expert in prompt engineering, fine-tuning, and building intelligent conversational agents.
Full-stack mobile development with Dart, Flutter SDK, Firebase integration, RESTful APIs, and modern state management patterns (Provider/Bloc).
Modern web development with React, Next.js, TypeScript, and contemporary UI libraries. Focus on responsive design and optimal user experiences.
Professional workflow with Git, GitHub Actions, Docker, cloud platforms (Azure ML, AWS), and modern development environments.
June 2025 - August 2025
As an AI intern at the Parliament House of pakistan, I developed and fully deployed a bilingual transcribing system for their internal use to transcribe and translate the proceedings and session which helped the reporting cell save time and do tasks efficiently.
Nov 2024 - Present
I actively organize coding sessions, tech events, and peer mentorship programs to empower fellow students. Passionate about creating a collaborative ecosystem that blends innovation, learning, and real-world problem solving.
May 2024 - Aug 2024
Incubated at NIC Sukkur (NEP NIC), where I worked on my AI-based startup Simper - an intelligent online examination system aimed at revolutionizing assessment through automation, security, and accessibility. The incubation provided mentorship, technical guidance, and entrepreneurial support to transform my vision into a scalable solution.
A full-stack web application built with React and Flask that leverages OpenAI Whisper for accurate speech-to-text transcription and Google Translate for bilingual conversion (English ↔ Urdu). The system supports multiple audio/video formats, provides export options (TXT, SRT, VTT, JSON), and enables session management for seamless transcription and translation workflows.
A full-stack healthcare platform to search FDA-approved medicines, book lab tests, consult doctors, and manage health—featuring role-based dashboards for patients, doctors, and admins.
A comprehensive cross-platform e-commerce solution featuring user authentication, advanced product catalog, intelligent cart management, and seamless order processing. Built with modern architecture ensuring scalability and optimal performance.
Advanced real-time gesture detection system supporting multiple sign languages (ASL, BSL, ISL). Utilizes computer vision and deep learning for accurate gesture recognition, enabling seamless communication accessibility.
Intelligent handwritten digit classification system trained on the MNIST dataset. Features real-time digit input processing with OpenCV integration and achieves 99%+ accuracy through optimized neural network architecture.
This project is built using Python and Jupyter Notebook, focusing on extracting insights from the 'Most Streamed Spotify Songs 2024' dataset obtained from Kaggle.
ChatMate is a local network-based chat application built in Java during my second semester. It allows users to chat across multiple devices connected to the same Wi-Fi using socket programming. The app features user authentication and persistent chat storage, reloading previous conversations upon revisit.