Muhammad Azhar
AI Engineer specializing in deep learning, generative AI, and production ML systems. I build and deploy AI models, RAG pipelines, and intelligent APIs that transform how organizations operate - from satellite imagery analysis to medical imaging and NLP solutions.
AI & ML Stack
Core ML & Data Science
AI Platforms & LLMs
AI Frameworks & Orchestration
DevOps & Infrastructure
Cloud & Services
What I Do
AI Services & Expertise
End-to-end AI systems - from research to production deployment - that turn data into decisions and unlock measurable efficiency gains.
AI Model Development
Custom ML/DL models for classification, detection, and prediction - from training to evaluation pipelines.
Generative AI Solutions
RAG pipelines, AI agents, and production-grade chatbots powered by LLMs like GPT, Claude, and DeepSeek.
API Development & Deployment
FastAPI services, model serving with TensorFlow Serving, and scalable inference APIs on cloud.
AI Workflow Automation
Custom automation tools using LangChain, LangGraph, and FlowiseAI that boost team productivity by 10x.
Computer Vision
Medical imaging, satellite imagery analysis, and real-time detection systems for production environments.
Data & Vector Systems
Vector databases (Pinecone, ChromaDB, Milvus), ETL pipelines, and semantic retrieval optimization.
Career Journey
Professional Experience
From data analysis to AI engineering - a path forged through building, deploying, and teaching intelligent systems.
AI Engineer
Al Nafi
July 2024 – Present
Developing and deploying AI models and APIs, boosting Alnafi's workflow by 10x with custom AI solutions. Building generative AI systems, RAG pipelines, and production-grade AI APIs.
Junior Lecturer
Institute of Business Management (IoBM)
Sep 2023 – Jan 2024
Conducted courses in OOP, Data Structures & Algorithms, Computer Networks, and Programming Fundamentals. Developed lab manuals, supervised sessions, and led FYP groups introducing cutting-edge AI technologies.
Founder & AI Lead
TechShoor
Nov 2020 – Present
Managed, created, and deployed AI models converted into production APIs. Served as Python Course Instructor for PEPC. Designed curriculum covering Python fundamentals and OOP concepts.
Data Analyst
Unique Traders
Feb 2021 – Jun 2023
Scraped customer data from Google Maps, developed and implemented databases. Built automated marketing message systems for client outreach.
Academic Background
Education
MS(AI)
Master of Science in Artificial Intelligence
FAST NUCES, Karachi
Aug 2024 – Aug 2026
BSCS
Bachelor of Science in Computer Science
Sindh Madressatul Islam University, Karachi
Aug 2019 – Aug 2023
CGPA 3.17
AI Developer
Diploma in Artificial Intelligence
PIAIC – Presidential Initiative for AI & Computing
Apr 2019 – Aug 2021
Percentile 90.23
Credentials
Certifications & Credentials
Industry-recognized certifications from AWS, Microsoft, and leading AI platforms.
MLOps Specialization
ML Engineering for Production
AWS Certified Cloud Practitioner
Amazon Web Services
Azure AI Fundamentals
Microsoft Certified
Azure Data Fundamentals
Microsoft Certified
MTA: Programming Using Python
Microsoft Technology Associate
MTA: Programming Using HTML & CSS
Microsoft Technology Associate
Portfolio
AI Projects
Production-grade AI systems deployed across agriculture, healthcare, and NLP domains.
TechShoor Agri
AI-powered platform for precision agriculture and yield optimization.
Key Features:
• Satellite imagery + deep learning for crop health monitoring.
• Disease detection and land condition insights for farmers.
• Actionable recommendations to improve yield and reduce waste.
Impact:
• Data-driven decision making for large and small farms.
• Scales insights across regions to improve food security.
Fracture Detection (MURA)
Deep learning pipeline for detecting abnormalities in musculoskeletal X-rays.
Key Insights:
• Trained 7 categories using TensorFlow and PyTorch.
• Superior accuracy compared to existing models.
• Deployed on Azure VM with nginx for clinical use.
Impact:
• Helps reduce diagnostic backlog and improve early detection.
• Scales expert-level insights to underserved regions.
Semantic Analysis
Semantic analysis on Roman Urdu product reviews for enhanced understanding.
Key Features:
• NLP pipeline for Roman Urdu sentiment classification.
• Training with NLTK and Scikit-learn on custom datasets.
• Deployed using Django web framework.
Impact:
• Bridges the gap in Urdu-language NLP tools.
• Enables businesses to understand regional feedback.
Research Work
Publications & Research
Peer-reviewed research contributions in AI, deep learning, and reinforcement learning.
Study on Reinforcement Learning and Deep Reinforcement Learning Schemes: A Review
Sir Syed University Research Journal of Engineering & Technology (SSURJET)
Authors: Muhammad Azhar, Mansoor Ahmed, Kamlesh Kumar, Mehar Khan Niazi, Muhammad Waqas
Usage of Deep Learning Models in Agricultural Satellite Imagery, A Review
Global Research Congress 2023 at SMIU Karachi
Authors: Muhammad Azhar, Mansoor Ahmed Khuhro, Mehar Khan Niazi