Muhammad Asim

About Muhammad Asim

I\'m a Full Stack Engineer and Machine Learning specialist with 7+ years of 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 2.5 years at the National Center for Cyber Security in Pakistan, where I worked on image forgery detection, harmful object detection, and built a full-stack mobile forensic application for real-world cybersecurity investigations. Before that, I completed my Master\'s thesis on an automated microscope system for tuberculosis detection using computer vision and deep learning — a project that started from scratch and ended as a fully functional medical imaging tool.On the engineering side, I\'ve recently delivered a range of complex client projects including autonomous trading bots with self-switching ML models, a Claude API-powered strategy generator and tester, market making systems, a brand performance SaaS platform, a Hyperliquid on-chain analytics tool, a real estate platform, and a full-featured iOS personal assistant app with AI automation built in.I\'m equally comfortable training and deploying ML models as I am architecting and shipping full stack products. I\'ve worked across Python, Flask, REST APIs, mobile development, and AI integrations — and I\'ve built systems that operate autonomously at scale.I\'m currently open to full-time remote opportunities in fintech, AI, or SaaS companies where I can contribute across both the ML and engineering layers of the product. Feel free to reach out at m••••••••@gmail.com

Experience

1. Full Stack Engineer

   Quiet Mountain Consulting Ptd Ltd

   Dec 2024 — Present · US

   Delivering end-to-end full stack and AI-powered solutions for a private client, building a portfolio of high-impact products across fintech, real estate, and productivity domains.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.Developed multiple market making bots for automated order management and liquidity provision on cryptocurrency exchanges.Created a Hyperliquid data collection and analytics tool that crawls on-chain trading data to identify and rank top-performing traders, providing actionable market intelligence.Developed a Brand Performance SaaS application that benchmarks how brands are perceived and ranked across leading AI model responses — offering businesses a novel way to monitor and improve their AI-era brand visibility.Built a Python Debugger tool powered by the Claude API that intelligently analyzes, explains, and resolves code errors, streamlining the debugging workflow for developers.Designed and developed a real estate platform allowing users to browse, rent, and purchase properties, featuring full property listing management and user flows.Engineered a feature-rich iOS Personal Assistant app with deep automation capabilities including meeting scheduling, music playback, calls, email reading and sending, AI image generation and editing, and a social layer with shared friend activities and personal/group chat.

Education

• Air University

  Bachelor's degree, Computer Science

  2014 — 2018

• Air University

  Master's degree, Computer Science

  2018