Python | Full-Stack | AI Application Developer
Python and Full-Stack Developer with a business-management background and hands-on experience in service quality analysis, data science internship work, web applications, backend APIs, AI/ML workflows, and real-time data tools. Skilled in Python, SQL, data preprocessing, visualization, modular application design, and automation. Combines analytical thinking and client-focused problem solving to improve workflows and build practical software solutions.
Designed and documented a healthcare platform concept covering 52 features across 10 modules and six stakeholder groups. Proposed a Next.js/React interface, API gateway, OAuth2/OIDC authentication, PostgreSQL, and India ABDM-readiness considerations.
Focus: Full-stack architecture, requirements analysis, authentication, relational data design, healthcare workflows.
Enterprise e-commerce and parts distribution platform for Saudi Horizon Company (Dammam/KSA). Features zero-latency intelligent parts filtering, serialized compatibility checks for CAT, Komatsu & Hitachi machinery, OEM/aftermarket catalog browsing, RFQ generation, and rapid 24-hour regional delivery workflows.
Focus: OEM Parts Catalog, Intelligent Search Console, B2B Marketplace, Heavy Machinery, RFQ Workflows.
High-performance corporate logistics portal for Skynet Global Logistics (operating across 100+ countries with regional hubs in Australia and Dubai). Features multi-modal ocean (FCL/LCL), air, and land freight solutions, live shipment track-and-trace, climate-controlled thermo-transit, and interactive international trade corridors.
Focus: Global Freight Forwarding, Live Track & Trace, Air / Ocean / Land, Supply Chain Portal, Responsive UI.
Built a modular Python analytics assistant ingesting Delta Exchange WebSocket trades, tickers, and Level 2 order-book updates. Uses Redis Streams and SQLite for cumulative delta, volume spikes, footprint patterns, imbalances, and liquidity-wall analytics; includes a Dash/Plotly dashboard.
Technologies: Python, WebSockets, Redis Streams, SQLite, Pandas, NumPy, Dash / Plotly, local LLM endpoint.
Created a Flask application for dynamic mind-map generation and PDF export, with recursive Pydantic-validated structures, ReportLab output, REST APIs, and modular components.
Focus: Flask, REST APIs, Pydantic, ReportLab, modular Python design.
Evaluated AI image-editing and background-removal workflows for product imagery and e-commerce catalog preparation.
Focus: Computer vision, image-processing workflows, model evaluation, automation.
Analytical problem solving • Structured documentation • Cross-functional communication • Client-focused delivery • Continuous learning • Translating business needs into practical solutions.