Muhammad Qasim Ali
Welcome to My Portfolio
Exploring AI, ML & Intelligent Systems
AI/ML Engineer · GIKI ’26
Agentic AI & RAG • Computer Vision • MLOps • Edge AI
About Me
AI/ML Engineer building production-ready intelligent systems
I am an AI/ML Engineer focused on Computer Vision, Machine Learning, and Generative AI systems. Experienced in building RAG pipelines, deploying ML models with MLOps practices, and optimizing LLM inference for edge devices. Skilled in Python and deep learning frameworks, with a focus on scalable, production-ready AI systems
Featured Projects
Experience Timeline
My journey in AI engineering and data science
Artificial Intelligence Intern
Punjab Information Technology Board (PITB)
June 2025 - August 2025
- ▸Engineered a UNet-based semantic segmentation pipeline to predict soil moisture index masks from Sentinel-2 multispectral imagery (13-band, 10-60m resolution), achieving a 0.89 mean IoU.
- ▸Integrated MLflow for unified experiment tracking, granular model versioning, and performance optimization monitoring.
- ▸Deployed a Hybrid Search RAG chatbot for 'Maryam Ki Dastak' using BM25, Milvus VectorDB, bge embeddings, Qwen3-8B-AWQ, and vLLM.
- ▸Configured structural hallucination guardrails and precision reranking, improving retrieval accuracy by 22% and slashing irrelevant responses by 30%.
Artificial Intelligence Intern
Nayatel
July 2024 - August 2024
- ▸Built an enterprise-focused customer support chatbot using advanced LangChain RAG pipelines paired with LLaMA3-8B.
- ▸Trained and evaluated pipelines on a domain-specific 5k Q&A knowledge dataset, recording a 92% precision score during human-in-the-loop evaluation layers.
- ▸Containerized and deployed architecture via Flask, ReactJS, and Docker, successfully handling over 1,000 daily queries with ultra-low latency.
Data Analysis Trainer
iCodeGuru
December 2023 - February 2024
- ▸Trained global students in core data analytics methodologies, structural engineering tools, and practical production workflows.
DSA Trainer
iCodeGuru
October 2023 - February 2024
- ▸Instructed learners on data structures, algorithmic complexities, and rigorous engineering problem-solving approaches.
Achievements & Competitions
A selection of national achievements and international hackathons showcasing my passion for Artificial Intelligence, Generative AI, and building impactful solutions under competitive environments.
1
National Championship
4
International Hackathons
5+
AI Solutions Built
4
Global Teams
All Pakistan Prompt Engineering Competition
Pakistan
Secured first position in the All Pakistan Prompt Engineering Competition by demonstrating advanced prompt engineering techniques, LLM optimization, and practical AI problem-solving.
Co-Creating with GPT-5 Hackathon
LabLab.ai
Built an AI-powered PCOS Assistant providing personalized health insights using GPT-5 and modern AI workflows.
ElevenLabs AI Hackathon
LabLab.ai × ElevenLabs
Created Narraitor, an AI storytelling platform that combines generative AI with realistic speech synthesis for immersive narration.
Llama 2 Hackathon
LabLab.ai × Clarifai
Built Flair, an AI application leveraging Meta Llama 2 and Clarifai APIs to solve real-world challenges through generative AI.
Research & Publications
Peer-reviewed work at the intersection of deep learning and healthcare
Malaria Cell Classification Using CNN: A Deep Learning Approach
International Conference on Artificial Intelligence (ICAI 2024)
Varna, Bulgaria · 2024
- ▸Developed and optimized a CNN pipeline for malaria-infected cell classification from microscopic blood smears.
- ▸Achieved a 96% diagnostic classification accuracy while maintaining hyper-lean execution layers suitable for field environments.
Skills & Technologies
Technologies and tools I use to build intelligent systems
Core Engineering
LLM & Agentic Systems
ML Frameworks
MLOps & Edge
Get In Touch
Have an AI problem worth solving? Let’s talk.