Data Scientist & ML Engineer • Healthcare & Financial Analytics • Full-Stack Developer • Research & Innovation Enthusiast
Recent Data Science Graduate from Lahore, Pakistan
Published Researcher with focus on Mobile Edge Computing and distributed systems
Problem Solver who loves building tools that people find helpful and enjoyable
Anime & Gaming Enthusiast when not coding
Open to Collaboration on research, open-source projects, and innovative solutions
"I believe in creating technology that bridges the gap between complex data science and real-world impact, with a scope spanning from healthcare analytics to financial modeling."
Large Language Models (LLMs) - Building with latest reasoning models, agentic AI systems, and RLHF techniques
Reinforcement Learning - Developing autonomous agents, multi-agent systems, and RL-powered decision engines
2025 Focus Areas:
- Agentic AI frameworks (CrewAI, LangGraph, AutoGPT) - The #1 trending AI technology
- Advanced reasoning models with chain-of-thought optimization
- RLHF & DPO techniques for model alignment and safety
- Multimodal AI integration across healthcare and financial domains
- Decentralized RL systems and edge AI deployment
Building intelligent systems that transform medical data into actionable insights for better patient outcomes and healthcare delivery.
Developing predictive models and algorithmic trading systems that leverage real-time market data for intelligent investment decisions.
Creating efficient architectures that bring AI computation closer to data sources for reduced latency and enhanced performance.
Applying computer vision and data analytics to gaming, media content, and interactive digital experiences.
Pioneering the development of intelligent agents that can reason, plan, and execute complex tasks independently.
Transforming complex business data into strategic insights through advanced analytics and intelligent automation platforms.
Contributing to cutting-edge research in mobile edge computing, distributed AI systems, and next-generation computing paradigms.
Python Library for Advanced Analytics & Agentic AI
- My flagship project - A comprehensive Python library advancing toward agentic AI capabilities
- Advanced analytics with intelligent automation and decision-making features
- Built with modern Python best practices, extensive documentation, and modular architecture
- Designed to bridge the gap between complex data science and practical AI solutions
- Integrating latest LLM and RL techniques for autonomous data analysis
Comprehensive Health Data Analysis & AI System
- Advanced ETL pipelines with real-time health data processing and integration
- Predictive analytics leveraging ML models for healthcare outcomes optimization
- Interactive Power BI dashboards delivering actionable insights for medical professionals
- API integration enabling real-time health monitoring and alert systems
- Early implementation of agentic AI for automated health risk assessment
Advanced ML System for Financial Forecasting & Trading
- Multi-agent system architecture with ensemble ML algorithms for market prediction
- Real-time data collection pipeline processing financial news, social sentiment, and market data
- Advanced technical analysis integrated with sentiment analysis and macroeconomic indicators
- High-performance backtesting framework with risk management and portfolio optimization
- Implementing reinforcement learning for adaptive trading strategies
"Mobile Edge Computing" - arXiv:2404.17944
- Comprehensive analysis of MEC architecture vs traditional cloud computing paradigms
- Novel approaches to edge resource allocation, data flow optimization, and system scalability
- Advanced security frameworks addressing privacy challenges in edge computing environments
- Forward-looking research directions for MEC adoption in 5G/6G networks and IoT ecosystems
- Bridging the gap between theoretical edge computing concepts and practical implementation
Research Interests & Future Directions:
- Agentic AI at the Edge - Autonomous AI systems for distributed computing environments
- Healthcare Informatics & AI - Privacy-preserving ML for medical data analysis
- Financial Technology Innovation - RL-powered algorithmic trading and risk management systems
- LLM Optimization - Efficient deployment of large models in resource-constrained environments
I'm actively seeking opportunities in:
- Research Collaborations - Especially in healthcare informatics, edge computing, and AI applications
- Open Source Projects - Contributing to impactful community-driven initiatives
- Industry Partnerships - Full-time roles, internships, or consulting in data science and ML engineering
- Innovation Projects - Building solutions that make a real difference in people's lives
- Strong technical foundation across the full data science stack
- Published research experience and academic rigor
- Practical project experience in multiple domains
- Passion for creating user-friendly, impactful solutions
- Collaborative mindset and enthusiasm for learning
- Plus an unhealthy obsession with making AI models do cool things (and occasional anime references in variable names) 😄
