AI Engineer · Full-Stack ML Developer
I engineer production-grade AI, data, and backend systems — LLM workflows, scraping pipelines, and cloud-deployed platforms for client-facing products.
LLM and ML systems running in real client products
From FastAPI backends to React dashboards, end to end
Azure, AWS, Vercel, and Linux VPS production launches
Scraping, ETL, and concurrent data pipelines
I’m an AI Engineer with hands-on experience building AI, data, scraping, and backend systems.
I turn real product requirements into FastAPI services, data pipelines, ML/LLM features, cloud-deployed dashboards, and automation workflows for practical business use cases.
Construction-intelligence MVP for Amanzimtoti Water Works with real-file ingestion, KPI engine, S-curve forecasting, anomaly detection, TARP alerts, and BOQ/executive dashboards.
Full-stack tutoring assistant that accepts text, image, and audio inputs, then returns structured step-by-step educational responses for math, code, and general learning tasks.
Production handoff backend with REST APIs across 12 modules for geolocation search, social interactions, image handling, push notifications, and role-based access control.
Feb 2026 - Present. Lead AI and backend development across client products, converting requirements into FastAPI services, data pipelines, dashboards, ML/LLM features, deployed demos, and client-ready technical documentation.
Feb 2025 - Jan 2026. Built GPT/Claude agents, summarization and sentiment-analysis workflows, YOLO/OpenCV vision systems, Django/FastAPI APIs, and Streamlit dashboards. Improved data processing efficiency by 30% through optimized pipelines and concurrency.
2023 - 2024. Developed Python automation, API integrations, Git-based team workflows, and responsive frontend interfaces.
2019 - 2023. CGPA: 3.23 / 4.0. Coursework included Machine Learning, Algorithms, Data Structures, and Databases.
Open to AI engineering, full-stack ML, backend, data, and DevOps engagements. Reach out and I’ll get back to you promptly.