Personal details

Muhammad A. - Remote data scientist

Muhammad A.

Based in: đŸ‡”đŸ‡° Pakistan
Timezone: Islamabad (UTC+5)

About

Software Engineer & AI Engineer specializing in the development of intelligent, scalable, and secure software systems. Extensive hands-on experience in AI/ML model development, backend engineering, data processing, cybersecurity analytics, and IoT system integration. Successfully delivered multiple projects involving computer vision, anomaly detection, network security, SaaS platforms, and automated system orchestration. Strong foundation in Python, ML frameworks, API development, system architecture, and cloud-native design, with a focus on performance, reliability, and real-world deployment.
Key skills include:
Software Development & Design: Expertise in creating scalable, maintainable software solutions.
AI & Machine Learning: Applying AI techniques to solve real-world problems through intelligent systems.
Database Management: Proficiency in SQL, NoSQL, and database design for optimized storage and retrieval.
Software Testing: Experience in ensuring software quality through unit, integration, and system testing.
Data Analytics: Skilled in analyzing data and visualizing insights to support business strategies.

I am always eager to learn new technologies, collaborate on innovative projects, and contribute to the ever-evolving field of technology. Looking forward to connecting with like-minded professionals and exploring opportunities that allow me to apply my skills and continue growing in the tech space.

Work Experience

Software Engineer & AI Engineer
Self-employed / Project-Based Engagements | Aug 2024 - Present
API
Debugging
Version control
Machine learning
Back-End
Performance Optimization

Hands-on experience developing software systems and AI-driven applications through internships, job simulations, and applied projects. Built backend services, APIs, and system architectures alongside machine learning models for security, automation, and computer vision applications. Worked across the full development lifecycle including design, implementation, testing, optimization, and documentation. Gained exposure to real-world engineering workflows, version control, debugging, and performance optimization.

Datacom Partnering with AI in the workplace
DATACOM | Sep 2025 - Jan 2026
Debugging
Critical Thinking
Requirements engineering
Prompt Engineering

Datacom Partnering with AI in the workplace Job Simulation on Forage - January 2026

  • Partnered with generative AI tools (e.g., ChatGPT) to research, write, design, and debug in fast-paced project environments
  • Created client-ready reports and presentations by prompting AI for feature ideas, technical examples, and visual storytelling guidance
  • Diagnosed and resolved a website issue by guiding AI through troubleshooting and testing, demonstrating initiative and self-learning in a non-technical role
  • Used AI tools to improve productivity, clarify project needs, and deliver solutions faster — including feature planning, UI ideas, and clean code examples

Projects

Network Anomaly Detection
Python
Cybersecurity
Ai/ml model lifecycle management
This project implements an AI-driven Network Traffic Anomaly Detection System designed to identify abnormal or suspicious network traffic. The system applies Machine Learning techniques to classify network activities as normal or anomalous, which is a key requirement in modern cyber security systems. This project is developed as part of an academic assignment focused on applying Artificial Intelligence (AI) and Machine Learning (ML) to real-world cyber security problems.
Cognitive Hub
Python
API
TypeScript
Docker
React
Microservices
Tailwind css
A unified, AI-powered SaaS platform designed to support engineering teams throughout the entire technical decision lifecycle. Project Overview Cognitive Dev Hub acts as an "engineering co-pilot" that integrates backend services, AI models, and automation workflows into a single scalable SaaS system. The platform assists with: Technical research - Knowledge ingestion and semantic search System and architecture analysis - Automated evaluation and insights Design trade-off evaluation - Comparative analysis of alternatives Engineering decision support - AI-assisted recommendations Automated reasoning and summarization - Intelligent insights generation

Education

UIT University
Bachelor's degree・Software Engineering
Oct 2022 - Jul 2026
Sindh Higher Education
High school diploma・Pre Engineering
Aug 2020 - Sep 2022

Certifications & Awards

Software Engineer Job Simulation
JP MorganChase | Dec 2025