Muhammad Asim

Quiet Mountain Consulting · Remote, US

Owned full product feature lifecycle from architecture and design through production deployment and iteration for AI-driven SaaS platforms on AWS.

• Delivered a full-stack iOS AI assistant using SwiftUI, Claude Opus, and Computer Use — automating device functions, Gmail/Calendar workflows, and group chat with persistent pgvector + Supabase memory
• Built an AI-powered trading algorithm generator that automates strategy creation, backtesting, and iterative error-fixing using multi-provider LLM integration (Claude, OpenAI, Moonshot AI)
• Delivered the backend for a Brand Performance SaaS platform integrating 5+ LLM APIs with automated evaluation pipelines reducing manual brand auditing by 90%
• Built a Hyperliquid on-chain analytics platform with automated data workflows crawling, indexing, and scoring 100K+ trading records
• Deployed and maintained market-making bots with WebSocket connections and dynamic spread algorithms — achieving 99.5%+ uptime across 24/7 operations
• Developed PyFixer, an AI-powered Python debugging tool with multi-provider LLM support and bring-your-own-key architecture
• Translated customer feedback into rapid product improvements; mentored junior developers through code reviews and architectural guidance

Kora Metrics · Remote, Pakistan

Contributed to the MVP development of an AI-powered accounting platform, working closely with stakeholders to ship core features within project deadlines.

• Built and owned the backend in Python/Flask with Supabase for database and authentication, designing RESTful APIs powering the platform's core financial workflows
• Designed and integrated AI agents into the backend to automate data processing and accounting operations — reducing manual effort by 60%
• Made targeted frontend contributions to support backend integration and complete end-to-end feature delivery
• Optimized database performance via query profiling, indexing, and Redis caching — reducing API response times by 45%

Fintech Client · Remote, Pakistan

Shipped production ML serving infrastructure for real-time financial price forecasting, with model versioning, A/B testing, and live performance dashboards.

• Built an autonomous multi-model trading system with a dry-run evaluation mechanism that dynamically switched to best-performing models — improving accuracy by 18% with zero downtime
• Shipped production ML serving infrastructure via Flask REST APIs for real-time financial price forecasting with model versioning and live dashboards
• Benchmarked and deployed ANN, ARIMA, Prophet, and ensemble models end-to-end: from feature engineering to containerized AWS deployment

National Center for Cyber Security (NCCS) · Islamabad, Pakistan

Built scalable ML backend APIs for image forgery detection and harmful object detection, supporting national security applications.

• Built scalable ML backend APIs for image forgery detection (95% accuracy) and harmful object detection
• Led a team of 4 developers on a full-stack mobile forensics application — managing sprints, architecture decisions, and code reviews
• Automated model training pipelines reducing iteration cycles by 40%

National Center for Cyber Security (NCCS) · Islamabad, Pakistan

Developed deep learning models for person re-identification, face recognition, and object detection — from research prototyping through 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
• Designed NLP-based text classification models and image analysis systems for security applications
• Led research prototyping through production deployment of computer vision AI systems

Air University · Islamabad, Pakistan

Assisted in teaching and mentoring undergraduate students while independently developing six end-to-end AI and ML projects alongside academic responsibilities.

• Designed a tweet sentiment analysis system using NLP and built a collaborative movie recommendation engine
• Developed a heart attack prediction model using clinical data and implemented a real-time face mask detection system
• Engineered a car number plate detection and re-identification pipeline
• Delivered an automated microscope system for tuberculosis detection — which became the foundation of the Master's thesis