Hi, my name is
Faizan Aziz.
I make the systems intelligent.
I'm a Data Scientist and AI Engineer focused on automation, AI systems, deep learning, predictive analytics, computer vision, and large-scale data processing.
Get In Touch!About Me
- I am a Gold medalist Data Science major from FAST NUCES focused on turning data into decision-ready insights through analytics, modeling, and data engineering.
- I’m currently an AI Engineer at VA Agency Pakistan, working on RAG systems, automation, and voice agents.
- I also work as a AI Automation Engineer at Originsoft IT Consultancy Services, building data warehouses, automating ETL workflows, and preprocessing systems.
- I worked as an AI Engineer at DMLytics, building preprocessing pipelines for drone imagery and automated flight planning workflows.
Working With
- Python
- SQL & NoSQL
- Deep Learning
- Computer Vision
- LLMs & RAG
- Cloud Computing
- ML Operations
- Data Engineering
Where I've Worked
AI Engineer @ Agency VA
Jun 2026 - Present | Full-time | Hybrid, Islamabad, Pakistan
- Building RAG systems for context-aware retrieval, knowledge grounding, and production-ready AI workflows.
- Developing automation pipelines to streamline repetitive business processes and improve operational efficiency.
- Creating voice agent solutions for intelligent call handling, conversational workflows, and AI-powered customer interactions.
Some Things I've Built
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Featured Project
Vigilon: AI-Powered Smart Surveillance System
- Python backend streams feeds; YOLO for weapon and intrusion detection, logic-based blackout and tampering detection; captures and uploads frames to cloud on alert.
- Flutter app: auth, live monitoring, event logs with level filters, camera management; Supabase Postgres with per-user RLS.
- Alerts in Postgres with real-time subscription; email sign-in and password reset.
- Python
- YOLO
- Flutter
- Supabase
- PostgreSQL
- OpenCV
- Computer Vision
- Deep Learning
-
Featured Project
AmazonCoBuy: Kafka Data Mining Engine
- Streamed Amazon product metadata to Kafka and consumed it with Apriori, ECLAT (sliding window), and PCY-style hashing.
- Persisted mining outputs and simple co-purchase signals into MongoDB.
- Included dataset preprocessing notebook plus producer/consumer pipeline on a single topic.
- Python
- Kafka
- MongoDB
- Apriori
- ECLAT
- PCY
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Client Project
K&S Pure Mineral Water Business Dashboard
- Full-stack dashboard centralizing inventory, production, salesmen stock-outs, wholesale clients, vendors, credits, expenses, and profit tracking.
- Role-based system with JWT auth, PostgreSQL-backed transaction management, analytics filters, PDF reports, and last-transaction reversals.
- Deployed as a FastAPI web service on Render with Supabase PostgreSQL, SQLAlchemy, ReportLab, and GitHub-triggered redeploys.
- FastAPI
- PostgreSQL
- Supabase
- SQLAlchemy
- JavaScript
- JWT Auth
- ReportLab
- Render
Other Noteworthy Projects
What's Next?
Get In Touch
I'm always interested in hearing about new opportunities in AI engineering, machine learning, and data science. Whether you're hiring, have an interesting project, or just want to connect, feel free to reach out!
Say Hello