Full-Stack Development
Modern web apps, server architecture, and database design
React.js
Node.js
Express.js
MongoDB
REST APIs
JWT
RBAC
Available for New Opportunities
Hi, I'm Muhammad Faisal
Full-Stack Developer | Applied AI/ML Engineer
BS Computer Science undergraduate at UMT Lahore, dedicated to crafting resilient full-stack web applications with the MERN stack and developing high-precision AI/ML solutions driven by semantic search, recommendation engines, and dense vector retrieval.
Background
About Me
Bridging Full-Stack Systems with Intelligent AI
I am a Computer Science undergraduate at 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 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 information retrieval, hybrid search engines (combining lexical and dense semantic embeddings), and adaptive recommendation systems with continuous feedback loops.
I take pride in writing clean, modular code, keeping performance at the forefront, and turning complex computational challenges into elegant, intuitive digital experiences.
Core Focus Areas
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Full-Stack Architecture
Building secure, scalable, and responsive web platforms utilizing React, Node.js, Express, and MongoDB.
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Applied AI & Semantic Retrieval
Engineering hybrid retrieval systems with BM25, FAISS, sentence embeddings, and RL feedback loops.
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Academic Foundation (UMT)
Rigorous study in data structures, algorithms, databases, and machine learning theory at UMT Lahore.
Expertise
Technical Skills
Applied AI & Machine Learning
Vector retrieval, ranking models, and NLP pipelines
Python
NLP
Recommendation Systems
Semantic Search
FAISS
BM25
scikit-learn
sentence-transformers
Tools & Environment
Version control, API testing, and computational environments
Git
GitHub
Postman
Google Colab
Portfolio
Featured Projects
Customer Relationship Management (CRM) System
A robust, production-oriented CRM platform architected with the MERN stack. Designed to streamline client communications, manage organizational pipelines, and handle extensive customer datasets. Incorporates granular Role-Based Access Control (RBAC), secure JSON Web Token (JWT) authentication, and high-efficiency server-side pagination with indexing for optimal performance under heavy query loads.
AI-Based Intelligent Service Recommendation System
A high-precision, hybrid recommendation and discovery engine engineered in Python. Combines sparse lexical keyword retrieval (BM25) with dense semantic vector indexing (FAISS) powered by sentence-transformers to capture deep contextual nuance. Features an adaptive Reinforcement Learning (RL) feedback loop that dynamically calibrates service ranking in real time based on user interactions.
Milestones
Experience & Education
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.
- Conducted systematic auditing and data verification across high-volume dataset pipelines.
- Identified data anomalies and inconsistency patterns, streamlining reporting accuracy.
- Collaborated with teams to implement standardized quality assurance protocols.
Pursuing a comprehensive Bachelor of Science degree in Computer Science at UMT Lahore. Building deep theoretical foundations and practical expertise in software engineering paradigms, full-stack web technologies, machine learning, and advanced algorithms.
- Core curriculum: Data Structures & Algorithms, Database Management Systems, OOP, Web Engineering.
- Specialized focus: Applied Artificial Intelligence, Natural Language Processing, and Machine Learning Systems.
- Actively applying academic concepts to real-world software architecture and research-grade recommendation systems.
Let's Connect
Get In Touch
Ready to collaborate or have a question?
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!