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muhammad bilalMB
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muhammad bilal

@muhammadbilal46

AI Solution Architect building production computer vision and generative AI systems that improve public-safety outcomes.

Pakistan
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What I'm looking for

I’m looking to lead end-to-end AI system delivery for mission-critical deployments—computer vision, RAG, and agentic automation—where I can scale teams and deliver measurable accuracy and response-time improvements.

I’m an AI Solution Architect and Team Lead with 5+ years of experience building production AI systems for government and law enforcement clients. My work spans computer vision (facial recognition, ANPR, object re identification), generative AI and RAG, and agentic automation.

Currently, I lead a 16-person team at the Chief Minister's Crime Surveillance Unit, directing both human engineers and AI agents on police performance evaluation, public sentiment analysis, and hate speech detection systems. I design end-to-end AI systems and delegate implementation to engineers and Claude Code agents.

In prior roles, I delivered measurable results: 95% accuracy facial recognition, 98.5% accuracy automated traffic violation detection, and a RAG chatbot serving 50,000+ citizen queries. I also built agentic and local automation tooling into delivery workflows using n8n and self-hosted LLMs like Ollama and LM Studio for on-prem inference.

My background includes building surveillance and traffic solutions (real-time alerts under 200ms, 98.5% challan accuracy, and 80% efficiency gains), legal RAG over 200k+ documents, and crime trend prediction at 82% accuracy. I bring a hands-on engineering mindset, focusing on accuracy, security, and operational impact.

Experience

Work history, roles, and key accomplishments

CC
Current

Team Lead (AI)

Chief Minister's Crime Surveillance Unit (CSU)

Oct 2025 - Present (9 months)

Lead a team of 16 engineers and analysts designing end-to-end AI systems for police performance evaluation, public sentiment analysis, and hate speech detection. Orchestrate multi-step agent workflows using n8n and Claude Code, including on-prem inference with Ollama and LM Studio.

PP

AI/ML Specialist

Punjab Information Technology Board (PITB)

Sep 2023 - Apr 2024 (7 months)

Worked on PITB’s Safe City project rollout, primarily focusing on computer vision systems. Developed ANPR and facial recognition components and built an e-challan system for automated traffic violation processing.

TP

Project Officer, Machine Learning

The Urban Unit, Government of Punjab

Mar 2021 - Sep 2023 (2 years 6 months)

Designed IoT and machine learning solutions for multiple government organizations, including neural network-based geo tagging and satellite imagery analytics. Built computer vision systems for GIS dashboarding and solar panel identification using object detection and semantic segmentation.

DL

Internee Engineer

Descon Power Solutions (Pvt) Limited

Jul 2019 - Sep 2019 (2 months)

Learned power plant equipment and control room systems, and studied maintenance procedures while working with rotary and static plant equipment. Read and drew single line diagrams during the internship.

Education

Degrees, certifications, and relevant coursework

University of Engineering and Technology, Lahore logoUL

University of Engineering and Technology, Lahore

Master of Science in Data Science, Data Science

2024 - 2025

Grade: GPA 4.0/4.0

Completed an M.S. in Data Science at the University of Engineering and Technology, Lahore from 2024 to 2025.

University of Engineering and Technology, Taxila logoUT

University of Engineering and Technology, Taxila

Bachelor of Science in Electronics Engineering, Electronics Engineering

2016 - 2020

Grade: GPA 3.14/4.0

Earned a B.S. in Electronics Engineering from the University of Engineering and Technology, Taxila from 2016 to 2020.

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