I build practical AI systems, experiment with intelligent applications, and turn ideas into useful software—from data and models to APIs, dashboards, testing, and deployment.
- 🎓 Pursuing a BS in Artificial Intelligence at the University of Sindh and preparing to enter my final year
- 🤖 Focused on Machine Learning, Deep Learning, Computer Vision, NLP, and Generative AI
- 💼 Previously worked as a Machine Learning Intern at R-Technologies
- 🧠 Building AI-powered tools, analytics dashboards, intelligent assistants, and production-minded applications
- ☁️ Learning Microsoft Azure, MLOps, cloud deployment, and scalable AI systems
- 🧪 Interested in explainable AI, automation, model evaluation, and responsible technology
- 🤝 Open to internships, collaboration, research discussions, freelance work, and meaningful technical projects
| Area | Focus |
|---|---|
| Machine Learning | Model development, evaluation, feature engineering, and practical deployment |
| Computer Vision | Detection, tracking, recognition, and real-time vision applications |
| NLP & GenAI | Information extraction, research assistants, RAG, sentiment, and conversational systems |
| Software Engineering | APIs, dashboards, databases, testing, documentation, and maintainable architecture |
- Developing practical AI and machine-learning applications
- Improving model reliability, evaluation, explainability, and deployment workflows
- Exploring Azure services for AI applications and cloud-based software
- Building clean, tested, and documented projects that solve real problems
- Building complete projects from idea and data to model, interface, testing, and deployment
- Turning experiments into clear, documented, and usable software
- Working across AI research, backend APIs, dashboards, automation, and full-stack applications
- Exploring responsible AI, explainability, evaluation, and reliable engineering practices
| Project | Description |
|---|---|
| 🤖 AI-Powered Resume Builder | Constraint-aware AI generation for creating structured and useful resumes. |
| 🚗 Real-Time Vehicle Detection | YOLOv8-based vehicle detection, tracking, and unique counting with Streamlit. |
| 🟢 Face Recognition Attendance | Face recognition, SQLite persistence, duplicate prevention, and automated testing. |
| 💬 Memory Chat AI | Conversational AI with memory, personas, streaming, and token-budget management. |
| 📚 Studyforge AI | Full-stack learning platform with authentication, quizzes, and AI assistance. |
| 🔍 AI Code Review Bot | AST-based code analysis, quality scoring, dead-code detection, and HTML reports. |
| 🎙️ Speech Emotion Recognition | CNN-LSTM-based audio emotion recognition using deep learning. |
| 🧠 Autonomous AI Research Agent | Research workflow that searches, reads, verifies, and cites sources in generated reports. |
- Graduate as a strong, practical AI engineer and researcher
- Build reliable, production-oriented AI applications
- Improve MLOps, cloud architecture, APIs, and deployment skills
- Explore explainable and responsible AI
- Contribute to open source and collaborate with developers worldwide
- Share practical knowledge through projects, documentation, and technical discussions
Internships, final-year project collaboration, research discussions, freelance AI work, open-source contributions, and meaningful technical projects.
- Azure AI services, MLOps, model monitoring, and cloud deployment
- Better evaluation, testing, documentation, and reproducibility for AI systems
- Research-oriented workflows for NLP, computer vision, and generative AI
Learning deeply • Building practically • Growing continuously