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Full Stack Engineer with 4+ years in AI systems & cloud-native deployments
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full-Stack AI Engineer with 4+ years building and shipping production AI systems across FinTech, AgriTech, HealthTech, and Enterprise SaaS. Experienced across the AI stack: from computer vision pipelines and real-time inference to agentic workflows, multi-tenant platform engineering, and cloud-native deployments. Known for taking systems from architecture to production on AWS, Azure, and GCP, working across Python, TypeScript, React/Next.js, and FastAPI.
Ahmadu Bello University
B.Sc. · Computer Science
September 1, 2022 – September 1, 2026
Vectuan.ai
Full-Stack AI Engineer
March 1, 2026 – Present
India
Intermediate Data Systems
Full-Stack AI Engineer
May 1, 2024 – February 1, 2025
South Africa
Omdena
AI Engineer
January 1, 2022 – April 1, 2024
United States
SarkinKofa - Vehicle and Number Plate Recognition System
June 23, 2026 – Present
Engineered a real-time computer vision pipeline for security checkpoints (toll gates, borders), integrating YOLOv8 and OpenCV for high-speed vehicle detection with sub-3-second clearance times and automated entry authorization. Designed and built end-to-end as a solo project, covering model training, inference pipeline, and deployment architecture.
GridScope - Power Grid Detection System
June 23, 2026 – Present
Built a satellite imagery analysis tool mapping power infrastructure (pylons, substations) across India, fine-tuning YOLOv5x models to 74% mAP and 73.1% Precision; deployed as a serverless AWS Lambda API for scalable geospatial inference. Designed and built end-to-end as a solo project, from dataset preparation and model fine-tuning to cloud deployment.
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for a dynamic, innovation-driven environment. Their diverse project portfolio spanning AgriTech, HealthTech, FinTech, and Enterprise SaaS showcases adaptability and a broad interest in applying AI solutions to real-world problems. The experience with various cloud providers and technologies indicates a willingness to learn and adapt to different tech stacks. The focus on building production-ready systems and optimizing performance aligns well with a results-oriented culture. The detailed descriptions of security and compliance measures also suggest a responsible and thorough approach to development.
Soft Skills & Operational Fit
The candidate's resume demonstrates strong problem-solving skills through the successful delivery of complex, end-to-end projects. Their experience with multi-tenant systems and enterprise-grade security indicates a meticulous approach to operational fit and reliability. The solo project work highlights initiative and self-sufficiency, while contract roles suggest adaptability to various team structures and project demands. The detailed descriptions of architectural decisions and impact (e.g., cost optimization, throughput improvement) reflect a business-oriented mindset.