Senior Software Engineer with extensive expertise in Python (80%) and JavaScript/TypeScript (20%), specializing in AI development. Skilled in designing and implementing efficient algorithms, building scalable backend services, and leveraging ORMs for optimized database interactions. Passionate about applying technical expertise to mission-driven organizations focused on environmental sustainability and social impact. Experienced in full-stack development, with a strong emphasis on data processing and analysis. Holds a proven track record of developing solutions that process and analyze large datasets to generate meaningful insights. Earned a Master’s degree in AI and Data Analytics from JAMK University.

• Engineered core components of a Generative BI Platform, implementing sophisticated user role management systems, configurable workspace settings, and a pioneering AI-based SQL query generator that transformed natural language inputs and BigQuery schemas into optimized SQL queries.

• Developed high-performance RESTful APIs using FastAPI to manage complex data relationships while consistently meeting strict performance benchmarks and scalability requirements.

• Architected efficient database models and implemented migration strategies using ORMs that supported evolving data structures and maintained data integrity across platform updates.

• Enhanced data visualization capabilities through interactive, customizable dashboards leveraging Apache ECharts integrated within a responsive SvelteKit frontend, delivering intuitive analytics experiences.

• Designed and implemented comprehensive user management workflows and dataverse configuration features that significantly improved platform flexibility and customization options for enterprise clients.

• Created streamlined user invitation and onboarding processes that reduced activation friction while maintaining security standards for enterprise environments.

• Tech Stack: Svelte, Pusher, TypeScript, Pytest, FastAPI, MongoDB, Redis, GCP, DuckDB, BigQuery, OpenAI, Docker, GitHub Actions (CI/CD) in a modern microservices architecture.

• Optimized supply chain analytics tools for enterprise clients including Meta, Microsoft, and Sony, reducing computational complexity and processing time by 35%.

• Developed and maintained Node.js/TypeScript services that seamlessly interfaced with Python-based backend systems in a microservices architecture.

• Upgraded core Django components and implemented CI/CD pipelines using GitHub Actions, improving deployment reliability and development velocity.

• Implemented comprehensive unit and integration tests with Pytest and Cypress for legacy codebases, achieving up to 100% test coverage and reducing production incidents.

• Led Airflow workshops and provided technical training to junior developers, enhancing team capabilities and internal knowledge sharing.

• Translated Business Requirements Documents (BRDs) into Functional Requirements Documents (FRDs) and delivered sprint-based solutions on schedule.

• Supported operations team with debugging and maintaining AWS-based ETL pipelines for data processing workflows.

• Led technical interviews and mentored Python and SQL developers across multiple distributed teams in a fully remote environment.

• Tech Stack: Node.js, Python, Pytest, Cypress, DataDog, Django, JavaScript, TypeScript, MongoDB, Redis, Kafka, Amazon Redshift, Docker, GitHub Actions (CI/CD)

• Engineered AI-powered advertisement generation APIs and real estate classification tools using deep learning models with Keras, TensorFlow, and PyTorch.

• Developed scalable Python backend systems using Django ORM for efficient data modeling and retrieval across multiple client platforms.

• Built a sophisticated geolocation simulation tool to test real-time construction worker tracking systems, improving deployment validation processes.

• Created automated video generation APIs for real estate platforms that combined CSV metadata, images, and background music to produce dynamic marketing content.

• Designed an inventory balancing system using Facebook Prophet and historical seasonal data for predictive stock management, optimizing inventory levels.

• Implemented robust web scrapers with Selenium and Scrapy to extract and process data from NFL statistics sites and across multiple industries and platforms.

• Automated NFL statistics collection by building parsers that monitored official league websites, processed gamebook data, and updated databases in real-time.

• Mentored junior developers on best practices for testing, code quality, and deployment workflows in an agile development environment.

• Tech Stack: Python, Node.js, Django, Flask, FastAPI, Pytest, Selenium, Scrapy, JavaScript, MongoDB, OpenCV, Keras, TensorFlow, PyTorch, Pandas, Docker, GitHub Actions (CI/CD)

• Developed a footfall counter for retail analytics leveraging computer vision techniques for real-time people counting and customer traffic analysis.

• Built a comprehensive heatmap generator for store analytics by integrating and processing feeds from multiple camera sources to visualize customer movement patterns.

• Engineered a gender-based advertisement targeting system using computer vision models and camera sensor input to enhance retail engagement metrics.

• Implemented computer vision algorithms on Raspberry Pi and other IoT devices for edge-based retail analytics solutions.

• Completed certifications in computer vision and machine learning to enhance theoretical and practical understanding of AI applications.

• Tech Stack: Python, C++, OpenCV, Keras, TensorFlow, PyTorch, Raspberry Pi

• 🎓 Master's Degree in Artificial Intelligence and Data Analytics (09/2023 - 12/2024)
  📄 Check out my thesis

• 🎓 Bachelor's Degree in Computer Science
  • 🛠️ Final Year Project: Developed a Formative Feedback Solution using Machine Learning to assess student essays.

• Django Essential Training - LinkedIn (May 2022) 🐍
• Secure Coding in Python - LinkedIn (Sep 2021) 🔒
• Microsoft Certified: Azure Data Engineer Associate - Microsoft (Jun 2021) ☁️
• Master Computer Vision™ OpenCV3 in Python & Machine Learning - Udemy (Oct 2018) 👁️

• Urdu (Mother Tongue) 🇵🇰
• English (Fluent) 🇬🇧