Hi, I'm
Muhammad Asim
Building AI-powered products at the intersection of machine learning and modern web development.
role: "Full Stack Engineer",
focus: "AI & Machine Learning",
passion: "Building the future"
};
About Me
ML researcher turned full-stack engineer, building at the intersection of AI and web.
I'm a Full Stack Engineer and Machine Learning specialist with 5+ years of professional experience building production-ready AI-powered systems, computer vision solutions, and scalable web and mobile applications — from idea to deployment.
My background spans two worlds: deep AI/ML research and hands-on full stack engineering. I spent 2 years at the National Center for Cyber Security in Pakistan, working on image forgery detection, harmful object detection, and building a full-stack mobile forensic application. My Master's thesis focused on an automated microscope system for tuberculosis detection using computer vision and deep learning.
On the engineering side, I've delivered complex client projects including autonomous trading bots with self-switching ML models, a Claude API-powered strategy generator, market making systems, a brand performance SaaS platform, and a full-featured iOS personal assistant app with AI automation. I actively build applications using AI-powered development tools like Claude Code, OpenClaw, and Cursor AI to accelerate development and deliver high-quality solutions faster.
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Years Experience
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Projects Delivered
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Global Clients
Technical Skills
Technologies and tools I work with across the full stack and ML lifecycle.
Languages
ML & AI
Frameworks & Libraries
Tools & Platforms
Professional Experience
From academic research to production AI systems and full-stack products.
Full Stack Engineer
Dec 2024 — Feb 2026Private Fintech Client (Self-Employed) · Remote
Designed and built enterprise-ready AI-powered systems, delivering end-to-end full stack solutions across fintech, SaaS, and productivity domains using modern AI platforms.
- Built an autonomous trading strategy generator and tester powered by the Claude API with multi-agent orchestration and RAG pipelines
- Developed multiple market making bots for automated order management and liquidity provision on crypto exchanges
- Created a Hyperliquid on-chain analytics tool to identify and rank top-performing blockchain traders
- Developed a Brand Performance SaaS benchmarking brands across AI model responses with automated evaluation pipelines
- Engineered a feature-rich iOS Personal Assistant app with AI automation capabilities
- Deployed scalable AI-native systems using Docker, CI/CD pipelines, and cloud infrastructure on AWS
Full Stack Developer (Contract)
Apr 2025 — Oct 2025Korametrix · Remote
Led design and delivery of an AI-powered accounting platform, translating complex business workflows into agentic solutions for automated document classification and financial data processing.
- Built cloud-native APIs and microservices using Flask and Supabase with CI/CD pipelines and containerized deployment
- Designed and integrated AI agents to automate tax reporting, compliance checks, and data analysis
- Optimized database performance through query profiling and indexing strategies, reducing API response times by 45%
- Collaborated with cross-functional teams to refine requirements into technical specs and ship production-ready features
Machine Learning Engineer
Oct 2023 — Nov 2024Private Fintech Client (Self-Employed) · Remote
Designed and deployed production ML infrastructure and forecasting systems for financial markets with end-to-end model training pipelines and real-time inference services.
- Developed ML models for financial price forecasting using OHLCV data with technical indicators using PyTorch and TensorFlow
- Benchmarked ANN, ARIMA, Prophet, and ensemble methods to optimize prediction accuracy across diverse datasets
- Built an autonomous trading bot system with dynamic model switching based on performance evaluation
- Exposed model inference via Flask-based REST APIs with model versioning and performance tracking dashboards
Research Associate
Jan 2022 — Sep 2023National Center for Cyber Security (NCCS) · Islamabad, Pakistan
Delivered AI solutions across security and forensics verticals, building production computer vision systems and leading a team on a mobile forensic application.
- Led ML model development for image forgery detection (95% accuracy), harmful object detection, and forensic analysis
- Built scalable model training pipelines with automated data processing, reducing model iteration cycles by 40%
- Led and managed a team of four developers on a full-stack mobile forensics application
- Authored technical research papers and conducted professional workshops on mobile forensics
Research Assistant
Apr 2021 — Dec 2021National Center for Cyber Security (NCCS) · Islamabad, Pakistan
Developed AI systems for person re-identification, face recognition, and object detection, building end-to-end pipelines from research prototyping to production deployment.
- Developed deep learning models for person re-identification, face recognition, and object detection using PyTorch and OpenCV
- Built end-to-end ML pipelines for training, validation, and deployment on edge devices
- Built NLP-based text classification models and image analysis systems for security applications
- Contributed to mobile forensics applications for digital evidence extraction and investigation
Featured Projects
A selection of projects spanning AI research, trading systems, and full-stack applications.
Automated Microscope for TB Detection
Designed an automated microscope system to detect Mycobacterium Tuberculosis using high-resolution imaging and deep learning. Integrated CNN models with precise imaging for enhanced medical diagnostics.
AI Trading Strategy Generator
Built an autonomous trading strategy generator and tester powered by the Claude API, enabling automated generation, backtesting, and evaluation of trading strategies without manual intervention.
Brand Performance SaaS
Developed a SaaS application that benchmarks how brands are perceived and ranked across leading AI model responses, offering businesses a novel way to monitor AI-era brand visibility.
Crypto Market Making Bots
Developed multiple market making bots for automated order management and liquidity provision on cryptocurrency exchanges with real-time performance monitoring.
Hyperliquid On-Chain Analytics
Created a data collection and analytics tool that crawls on-chain trading data from Hyperliquid to identify and rank top-performing traders, providing actionable market intelligence.
iOS Personal Assistant App
Engineered a feature-rich iOS personal assistant with deep automation: meeting scheduling, music playback, calls, email, AI image generation, and a social layer with chat.
Autonomous Trading Bot System
Built a system capable of running multiple ML-powered trading bots in parallel with a dry-run evaluation mechanism that dynamically switches to the best-performing model.
Image Forgery Detection System
Developed deep learning models to identify manipulated or tampered digital images, contributing to digital forensics capabilities at the National Center for Cyber Security.
Person Re-identification System
Developed a system capable of recognizing individuals across multiple camera views using non-intrusive visual features such as clothing color, texture, and patterns.
Number Plate Detection & Recognition
Developed a real-time web application for automated number plate detection integrated with IP cameras to streamline car parking operations.
Face Mask Detection Application
Built a real-time face mask detection and access control application integrating camera and temperature sensor data for health safety compliance.
Face Recognition Access Control
Developed a real-time face recognition system integrated with an IP camera for automated door access control with email and SMS alerts.
Heart Attack Predictor
Built a machine learning model trained on clinical data to predict heart attack risk, integrated into a web application for real-time patient assessment.
AI Python Debugger
Built a debugging tool powered by the Claude API that intelligently analyzes, explains, and resolves code errors, streamlining the developer workflow.
What People Say
Feedback from clients and colleagues across LinkedIn and Fiverr.
Parker McAllister
Founder & CEO
quietmountain.ai
“Asim is one of the strongest full stack engineers I've worked with in my 10 years as a product manager. We partnered on complex technical builds — automated market making systems, AI-driven algorithmic trading platforms, and real-time analytics tools. He consistently delivered high-quality work on tight timelines and brought sharp technical judgment to every project.”
Makhdoom Sajawal
Team Lead | Full Stack Developer
Data Analyst & Visualizer
“I've known Muhammad Asim for years, and I've always found him to be incredibly productive and helpful in the workplace. His technical skills and collaborative spirit make him a valuable asset to any team.”
obayhun
Client
“He was honest, he delivered me my project idea even before due time. He responds fast. I strongly recommend working with him. You can make business grow with his talents.”
elenaifrim
Client
“The seller provided my data visualisation faster than expected, he is professional and it was easy to communicate. I will use his services again in the future and I would highly recommend him.”
abaeabae
Client
“Excellent communication and timely status update were much appreciated. He went above beyond to deliver the service to meet my expectations. Highly recommend!”
ammarr_s
Client
“He gave me the best option with the time constraint on the project on automatic classification of the fundus image. He will always try to help me with every error that I've faced. Would recommend working with this seller again.”
lilzo11
Client
“Best Seller Ever, excellent communication and very helpful whenever needed. Will 100% recommend, helped me to do a task and he explained carefully. Great communication and very fast and efficient delivery.”
maryambb9
Repeat Client
“This is my second time working with him and he's a really great seller, excellent communication and very helpful whenever needed. Will 100% recommend.”
sedmaster
Client — AI Integrations
“Working with Muhammad Asim in AI Development was a pleasure! His professionalism, code expertise, and thorough documentation were impressive. Coupled with proactive communication and quick responsiveness, Asim's delivery was timely and efficient. Highly recommend!”
sadboysbigmac
Client — Trading Bots
“Did a fantastic job, was willing to try many variants of the project to get it to work. Very communicative and quick to make adjustments. Highly recommend if you have a good idea for a strategy and would like someone to implement it.”
maryavidi
Repeat Client — AI Integrations
“He's very professional and delivered even before the deadline. He's working on my second project already. I'll definitely recommend him.”
Education
Master of Science in Computer Science
Air University, Islamabad
2018 — 2021
Thesis
Automated Microscope for Tuberculosis Detection using Sputum Smear
Bachelor of Science in Computer Science
Air University, Islamabad
2014 — 2018
Thesis
Person Re-identification System
Get in Touch
Have a project in mind or want to collaborate? Let's connect.
I'm currently open to full-time remote opportunities in fintech, AI, or SaaS companies — and on-site roles in NYC. Feel free to reach out for collaborations or just a friendly chat.
Location
Brooklyn, New York