Full-Stack Developer | Applied AI/ML Engineer
BS Computer Science Graduate from UMT Lahore, dedicated to crafting resilient full-stack web applications with the MERN stack & PostgreSQL, and engineering high-precision AI/ML solutions powered by semantic search, hybrid retrieval, and generative AI engines.
const engineer = {
name: "Muhammad Faisal",
degree: "BS CS @ UMT Lahore (Graduated)",
stack: ["React", "Node", "PostgreSQL", "MongoDB"],
ai_focus: ["Gemini AI", "BM25 + FAISS", "RL"],
status: "Available for Impact"
};Background
I am a Computer Science Graduate from the University of Management & Technology (UMT), Lahore (Class of 2022–2026), with a deep passion for building scalable, high-impact software systems. My technical focus converges on two complementary domains: modern full-stack development with the MERN stack & PostgreSQL, and Applied AI/Machine Learning.
In full-stack engineering, I specialize in crafting clean architectures, building robust RESTful APIs, implementing granular Role-Based Access Control (RBAC), and optimizing database transactions. Simultaneously, my AI/ML work explores document processing pipelines, hybrid retrieval engines (combining lexical and dense semantic embeddings), and adaptive recommendation systems.
I take pride in writing clean, modular code, keeping performance at the forefront, and turning complex computational challenges into elegant, intuitive digital experiences.
Building secure, scalable web platforms using React, Node.js, Express, PostgreSQL, MongoDB, and Docker.
Engineering hybrid retrieval systems with BM25, FAISS, Gemini AI, and RL feedback loops.
Graduated in Computer Science with practical experience in remote software engineering, unit testing, and production microservice deployments.
Expertise
Modern web apps, server architecture, and database design
Vector retrieval, ranking models, and NLP pipelines
Containerization, CI/CD, testing suites, and cloud platforms
Portfolio
Full-stack medical report analyzer bridging health literacy in bilingual communities. Features a dual-pass OCR engine (pdf2json + Tesseract.js), Google Gemini AI biomarker structuring into JSON, color-coded abnormal value flagging, side-by-side English/Urdu summaries with native RTL typography, an Admin Dashboard for RBAC user management, and automated Jest test suites.
Production-grade MERN e-commerce engine featuring user session persistence, JWT authentication, dynamic client-server shopping cart engine, Stripe sandbox payment checkout integration, and automated inventory deduction logic. Deployed on Render and Vercel.
Production-grade collaborative workspace application featuring multi-team management, dynamic Kanban & tabular task lifecycles, stateful PostgreSQL session authentication (Passport.js), and express-validator request validation. Containerized with Docker and prepared for GCP Cloud Run deployment.
Research-grade hybrid recommendation and discovery engine engineered in Python. Combines sparse lexical keyword retrieval (BM25) with dense semantic vector indexing (FAISS) powered by sentence-transformers, paired with an adaptive Reinforcement Learning (RL) feedback loop.
Real-time asynchronous task management platform built with MERN stack. Features live calculating analytics widgets (completion percentage, pending, completed counters), Kanban Board vs Tabular view toggles, client-side search filtering, and cloud database state sync.
Enterprise MERN CRM platform designed for customer lifecycle management (New, Contacted, In Progress, Closed). Features Role-Based Access Control (RBAC) separating Admin and Employee permissions, JWT authentication, and pagination.
Milestones
Contributed remotely as a Full Stack Developer Intern building production-ready web features, robust API endpoints, and scalable backend services under the direct leadership of Founder & CEO Umar Mushtaq.
Responsible for meticulous data verification, auditing, and structural validation across large-scale datasets. Focused on maintaining uncompromising data integrity, identifying anomalies, improving validation pipelines, and adhering to strict quality benchmarks for operational efficiency.
Completed Bachelor of Science degree in Computer Science with strong theoretical and practical foundations in software engineering and applied AI at UMT Lahore.
Let's Connect
Whether you're looking for a passionate Full-Stack Developer for your next project, an Applied AI/ML Engineer to build intelligent retrieval systems, or just want to chat about technology — my inbox is always open!