AI/ML Engineer building deployable Computer Vision, RAG & Full-Stack AI systems.
Final-semester BS Artificial Intelligence student at FAST-NUCES, building production-style AI products with Python, FastAPI, Supabase, YOLOv11, LLMs, RAG pipelines, Streamlit, and modern full-stack interfaces.
OmniDrive AI
Intelligent Automotive Diagnostic Ecosystem
A comprehensive, multi-module AI platform that revolutionizes automotive diagnostics through integrated machine learning pipelines, real-time sensor analysis, and intelligent decision support systems.
System Architecture
Diagnostic Engine Features
- ▹Real-time OBD-II sensor data ingestion and preprocessing pipeline
- ▹Ensemble model combining Random Forest, XGBoost, and neural network classifiers
- ▹Automated fault-code interpretation using a fine-tuned LLM module
- ▹Confidence scoring and explainability via SHAP values
Why This Matters
OmniDrive demonstrates end-to-end AI systems thinking — from raw sensor ingestion through ML inference to user-facing dashboards. It showcases production-grade patterns including model versioning, A/B testing infrastructure, graceful degradation, and comprehensive monitoring. This is not a Kaggle notebook; it is a deployable platform.
Featured AI/ML Projects
Production-grade AI systems, LLM integrations, and robust full-stack applications.
End-to-end classification pipeline using supervised learning, advanced feature engineering, and imbalanced data handling (SMOTE) to optimize for early detection sensitivity.
- ▹Rigorous model benchmarking across 6 classifiers
- ▹SMOTE oversampling to handle class imbalance
- ▹Optimized for Recall to minimize false negatives
- ▹Feature importance analysis with visualization
Six LLM-based recommendation systems using Fine-Tuning and RAG architectures with FAISS and Annoy for high-efficiency semantic retrieval.
- ▹6 distinct recommendation architectures compared
- ▹FAISS and Annoy for vector similarity search
- ▹Fine-tuned models for domain-specific generation
- ▹Explainable, human-like recommendation outputs
Construction site safety monitoring using YOLOv5 with transfer learning for real-time helmet detection and compliance tracking.
- ▹Custom-trained YOLOv5 with transfer learning
- ▹Real-time inference pipeline for video streams
- ▹mAP-based performance evaluation
- ▹Deployed for construction site safety monitoring
Intelligent seating arrangement optimization using K-Means Clustering to minimize examination malpractice through data-driven student placement.
- ▹Unsupervised clustering for student grouping
- ▹Constraint satisfaction for room allocation
- ▹Minimized proximity of same-section students
Automated recipe generation system using n8n workflow automation and Gemini API, transforming dietary data into structured meal plans.
- ▹End-to-end workflow automation with n8n
- ▹Gemini API integration for content generation
- ▹Dietary constraint-aware meal planning
- ▹Structured JSON output for frontend consumption
Responsive React application integrated with Gemini 2.0 Flash LLM using prompt engineering for high-quality motivational content generation.
- ▹Gemini 2.0 Flash LLM integration
- ▹Advanced prompt engineering techniques
- ▹Topic-specific content generation
- ▹Responsive UI with real-time streaming
More Systems
Experience
Professional internships and academic roles in AI engineering and software development.
AI/ML Engineering Intern
Internship- ▹Completed a 6-week AI/ML Engineering internship with exceptional performance recognition.
- ▹Built applied AI systems across LLMs, RAG, NLP, ML pipelines, Streamlit dashboards, and deployment.
- ▹Developed Serene, DocuMind, NewsLens, TicketIQ, Luxe Estate, and other AI systems.
- ▹Worked with Hugging Face, FAISS, LangChain, BERT, LoRA, Streamlit, Supabase, Docker, and XGBoost.
AI Developer Intern
Internship- ▹Built full-stack AI applications using React, Next.js, Tailwind, Supabase, n8n, Vercel, and Gemini API.
- ▹Developed an AI Recipe Generator with Supabase magic-link authentication, n8n workflow orchestration, Gemini generation, and real-time dashboard updates.
- ▹Built a Blog Summariser & Translator using React, Node.js, jsdom scraping, Supabase persistence, and Urdu translation.
- ▹Built Gemini-powered Quote Generator with responsive React UI and prompt-engineered topic generation.
Teaching Assistant — Programming Fundamentals
- ▹Mentored students in C++ and programming fundamentals.
- ▹Guided debugging, logic-building, project development, and code quality.
- ▹Supported student teams from planning to implementation.
Technical Skills
A comprehensive toolkit for full-stack AI development, from model training to frontend integration.
AI / ML
Models & Frameworks
RAG / LLM Tools
Backend
Frontend
DevOps & Tools
Certifications
Professional recognition and completed programs.
DevelopersHub Corporation
AI/ML Engineering Internship Certificate
6-week AI/ML Engineering internship with exceptional performance recognition.
Nexium
AI Developer Internship Certificate
Full-stack AI application development using React, Next.js, and Gemini API.
Let's Build Something Great
I am currently open to Summer 2026 AI/ML Engineering and Full-Stack Software Development roles. If you're looking for a dedicated engineer who builds robust, scalable AI systems, let's connect.