I’m a versatile Full-Stack Developer with a strong focus on backend systems, real-time computer vision, and AI/ML applications. I specialize in Python, FastAPI, and Docker-based microservices, and have hands-on experience with PyTorch, TensorFlow, and PostgreSQL (pgvector). I’ve built production-ready systems for surveillance, analytics, and interactive dashboards, and I’m comfortable working across the full stack with tools like React.js and Node.js. Whether you're building a scalable API, integrating AI models, or deploying cloud-based applications, I can help bring your vision to life.

Faizaan Al Faisal

I’m a versatile Full-Stack Developer with a strong focus on backend systems, real-time computer vision, and AI/ML applications. I specialize in Python, FastAPI, and Docker-based microservices, and have hands-on experience with PyTorch, TensorFlow, and PostgreSQL (pgvector). I’ve built production-ready systems for surveillance, analytics, and interactive dashboards, and I’m comfortable working across the full stack with tools like React.js and Node.js. Whether you're building a scalable API, integrating AI models, or deploying cloud-based applications, I can help bring your vision to life.

Available to hire

I’m a versatile Full-Stack Developer with a strong focus on backend systems, real-time computer vision, and AI/ML applications. I specialize in Python, FastAPI, and Docker-based microservices, and have hands-on experience with PyTorch, TensorFlow, and PostgreSQL (pgvector). I’ve built production-ready systems for surveillance, analytics, and interactive dashboards, and I’m comfortable working across the full stack with tools like React.js and Node.js. Whether you’re building a scalable API, integrating AI models, or deploying cloud-based applications, I can help bring your vision to life.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
See more

Language

English
Fluent

Work Experience

Software Developer – Full Time at Lynx Information & Security Technologies (Lynx InfoSec.)
September 1, 2023 - June 30, 2025
Designed and deployed real-time computer vision and intelligent systems for customer analytics using YOLO, DeepFace, TensorFlow, and PyTorch, enabling accurate detection and demographic insights. Built and maintained scalable backend services with FastAPI, Celery, and PostgreSQL (with pgvector), supporting asynchronous processing and high-performance data handling. Managed project codebases using GitHub with structured feature-based branching; automated deployment process and microservice management using Docker containers and docker-compose; assisted in deployment of applications on Amazon Web Services (AWS). Led sprint planning in an Agile Environment, documented project requirements as SRS, mentored junior developers & interns, and ensured quality delivery through structured planning and review processes.
Data Analyst / Software Developer – Intern at National Cyber Security Auditing & Evaluation Lab (NCSAEL)
June 1, 2023 - August 31, 2023
Developed backend of lab tools – OpenCTI (Cyber Threat Intelligence) Platform and Shuffle – using Python and React.js/Node.js, optimizing data visualization dashboards and analytics workflows of incident/security event data. Configured and deployed Docker containers to facilitate easy deployment of the tools.

Education

Bachelor of Science at National University of Sciences & Technology
September 1, 2020 - May 31, 2024

Qualifications

IBM Data Science Specialization Certification
January 1, 2024 - March 1, 2024
A certification for mastering the most up-to-date Data Science tools and technologies created by IBM.

Industry Experience

Software & Internet, Computers & Electronics, Government, Transportation & Logistics, Professional Services
    uniE621 Vehicle Tracking
    Real-Time Computer Vision for Traffic Analysis & Safety Compliance Developed a video analytics system to detect and classify vehicles, identify license plates using Optical Character Recognition (OCR), and verify helmet usage on motorcyclists using an Object Detection model with PyTorch. Designed for real-time processing and safety enforcement use cases, with visual output overlays for surveillance footage.
    uniE621 Image-Colorization with GANs
    *Deep Learning Model for Image Restoration and Enhancement* Built a Generative Adversarial Network (GAN) with PyTorch to colorize grayscale images using the COCO dataset. Implemented a UNet-based generator and a PatchGAN discriminator, trained on Kaggle for image-to-image translation. Demonstrated the ability to reconstruct mostly realistic colors in natural scenes.
    uniE621 Smart-Campus
    AI-Powered Campus Surveillance and Automation System I engineered a modular, real-time surveillance platform integrating computer vision for *intrusion detection*, *license plate recognition (LRP)*, and facial recognition–based attendance tracking. Developed using *Python FastAPI*, and *Celery* with asynchronous task handling over *Redis*, data storage and handling via *PostgreSQL/pgvector*, and deployed via *Docker/Docker-Compose* for scalable performance. Included a *React.js*-based frontend and monitoring tools like Flower for system visibility.