Machine Learning & Vision Engineer with 4+ Years Experience

JAMES SUNDAY AKAM

Kings And Queens Along General Hospital Bwari Abuja +234********** **************@*****.*** WWW: https://linkedin.com/in Summary

Results-driven Machine Learning and Computer Vision Engineer with 4+ years of experience delivering high- impact AI solutions that drive business growth. Achieved 85% performance improvement in real-time human- robot interactions for humanoid robot and 92% accuracy in predictive health models. Expert in LLM integration, computer vision deployment on embedded systems, and cloud-based AI solutions. Proven track record of translating complex AI research into production-ready systems that enhance user engagement by 30% and reduce operational costs.

Skills

Python (Advanced) CUDA Programming

Parallel Computing

TensorFlow 2.x PyTorch Keras Scikit-

Learn

API Development & Integration Model

Deployment

AWS (EC2, S3, Lambda) Azure (Speech API,

Cognitive Services)

NVIDIA Jetson Embedded Systems

Optimization

Computer Vision (Object Detection,

Segmentation, Classification)

Natural Language Processing & Conversational

AI

Large Language Models (LLM) Fine-tuning

Time-Series Analysis & Predictive Analytics

Data Preprocessing & Augmentation

Statistical Analysis

IoT Systems Integration Real-time Processing

Experience

Computer Vision & Machine Learning Engineer 02/2022 to Present Uniccon Group of Companies Abuja, Nigeria

Led AI development for Omeife humanoid robot, implementing facial recognition, object detection, and emotion analysis systems serving 1000+ daily interactions

Optimized embedded AI models for real-time performance, achieving 85% faster inference speed on resource-constrained hardware

Integrated advanced LLM-based chatbot systems, resulting in 30% increase in user engagement and 25% reduction in response time

Fine-tuned large language models for domain-specific applications, improving accuracy by 20% over baseline models

Architected scalable AI deployment on AWS infrastructure, ensuring 99.9% uptime and handling 10,000+ concurrent requests

Implemented Azure Speech Translation API for multi-language support, enhancing NLU accuracy by 20% across 5 languages

Developed real-time computer vision solutions on NVIDIA Jetson platform for object detection and tracking applications

Accelerated processing pipeline by 50% through CUDA parallel computation optimization for computer vision tasks

Enhanced IoT system connectivity by 20% through strategic Jetson device integration and data flow optimization

Reduced system errors by 25% through collaborative embedded control system design and implementation

Maintained system reliability through proactive hardware troubleshooting and system problem resolution

Freelance AI & ML Engineer 05/2019 to 02/2022

Developed predictive health model for Laser Fever detection, achieving 92% accuracy using advanced machine learning techniques and contributing to early disease intervention

Built fashion trend forecasting system with 87% accuracy using time-series analysis, helping retail clients optimize inventory by 15%

Collaborated on 3D reconstruction projects using NeRF Studio, enhancing depth estimation accuracy and scene understanding capabilities

Designed predictive maintenance solutions for industrial clients, improving operational efficiency by 30% through anomaly detection

Deployed cloud-based ML inference systems on AWS, reducing latency by 40% and enabling real- time decision making

Processed and analyzed large-scale datasets (10M+ records) using statistical software for actionable business insights

Education and Awards

Bachelor of Engineering: Computer Engineering 11/2021 Federal University of Technology Minna Minna

Best Team player of the year (uniccon group) 12-2024 Certifications

Introducing Generative AI with AWS

Udacity 06-2025

Certificate ID: b00ef7fe-3c5d-11f0-b8d5-bb84839e24ab PUBLICATIONS

Intelligent Video Surveillance System Using Faster R-CNN DOI: [https://doi.org/10.17694/bajece.1223050]

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