Faizaan Al Faisal

Faizaan Al Faisal Software Engineer (ML/CV) LinkedIn: linkedin.com/in/FaizaanAlFaisal Email:-Phone: +1 - GitHub: github.com/FaizaanAlFaisal Location: Tampa, Florida | Pakistan Versatile software developer and data scientist with hands-on experience in building highly scalable and intelligent backend systems, real-time computer vision and ML-based applications. Proficient in Python, ML/AI/CV, C++, Node.js, React.js, Docker, and GitHub, with a focus on performance, clean architecture, and deployment automation. Experienced in leading technical projects, mentoring teams, and with the ability to turn those requirements into robust and effective solutions. EXPERIENCE SOFTWARE DEVELOPER – FULL TIME Lynx Information & Security Technologies (Lynx InfoSec.) – Rawalpindi SEPTEMBER 2023 – JUNE 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 National Cyber Security Auditing & Evaluation Lab (NCSAEL) – Rawalpindi JUNE 2023 – AUGUST 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. PROJECTS & CERTIFICATIONS IBM Data Science Specialization Certification Completed a 10-course program by IBM covering Python programming, data analysis, data visualization, SQL, machine learning, and applied data science tools and methodologies. Skills: Python, Scikit, Keras/PyTorch, SQL, Numpy, Pandas, Matplotlib, Seaborn, Plotly. View Certificate Smart Campus – Lynx InfoSec. AI-Powered Campus Surveillance and Automation System 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 Postgres/pgvector, and deployed via Docker/DockerCompose for scalable performance. Included a React.js-based frontend and monitoring tools like Flower for system visibility. GitHub – Smart Campus Vehicle Tracking Project 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. GitHub – Vehicle-Tracking Image-Colorization Using 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. GitHub – Image-Colorization EDUCATION BACHELOR OF SCIENCE IN COMPUTER SCIENCE – (CGPA: 3.78) National University of Sciences & Technology – Islamabad, H-12 September 2020 – May 2024 ▪ Final-Year/Capstone Project – Insightify: Developed a cloud-based data analytics tool with a Node.js backend, offering customizable and interactive dashboards for data visualization built in Next.js, and deployed on Amazon Web Services (AWS). Integrated Machine Learning/Deep Learning model pipelines for advanced analytics with PyTorch. SKILLS & TECHNOLOGIES Programming Languages: Python, C/C++, JavaScript, Shell/Bash Scripting Backend & API Development: FastAPI, Django, Celery, Redis, Node.js, GraphQL, Apollo, Supabase Machine Learning, Artificial Intelligence, & Data Science: PyTorch, TensorFlow, Keras, Scikit, Torchvision, Hugging Face Transformers, OpenAI GPT, OpenCV, NumPy, Pandas, Matplotlib, Seaborn, Plotly, Excel Techniques: Computer Vision (CV), Optical Character Recognition (OCR), Natural Language Processing (NLP), Generative AI (GenAI), Generative Adversarial Networks (GANs), Retrieval Augmented Generation (RAG), Large Language Models (LLMs), Detection & Classification Models Databases: PostgreSQL, pgvector, SQLite3, NoSQL, MongoDB, MySQL, SQL Server, Oracle DB Frontend Development: React.js, Next.js, TypeScript, HTML, CSS, Tailwind Deployment & Version Control: Docker, Docker Compose, Git, GitHub, CI/CD, Amazon Web Services (AWS)