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.
Years of hands-on engineering experience
AI, backend, and data builds shipped
APIs, pipelines, and automations built
Core technical domains covered
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.