Elisha O.

Key Skills

Software

OpenCV AI Kit (OAK)

Other

Top Subject Matter

Computer vision

generative/synthetic AI

sports analytics

Top Data Types

Video

Image

Top Task Types

Fine-tuning

Action Recognition

Prompt + Response Writing (SFT)

Freelancer Overview

Lead AI Scientist / AI Engineer, Rectlabs Inc (Rectvision, Synx, Trackus, BimpeAI). Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include OpenCV, AWS, and OpenCV AI Kit (OAK). Education includes Bachelor of Science, Obafemi Awolowo University (2019). AI-training focus includes data types such as Computer Code, Programming, and Video and labeling workflows including Fine-tuning, Action Recognition, and Prompt + Response Writing (SFT).

Labeling Experience

Director of AI, BimpeAI

OpenCV AI Kit (OAK)Prompt + Response Writing (SFT)

Architected and deployed an AI layer for the commerce and restaurant domain, including core AI model development and production roll-out. As technical lead, drove infrastructure design and managed implementation of AI models (including computer vision components) used in the platform’s training/inference lifecycle. Supported targeted beta testing with pilot clients, demonstrating validated product and technical innovation. • Built production-ready infrastructure for AI models • Implemented core AI models including OpenCV-based components • Managed beta testing and pilot roll-outs • Integrated and supported MLFlow & KubeFlow for lifecycle management

2023 - Present

Director, Trackus (Rectlabs spin-off)

Action Recognition

Architected and deployed core systems for a sports AI analytics platform, including computer vision and machine learning components used for model training and performance tracking. Implemented CV and ML models to recognize and analyze player/team performance signals for elite teams. Enabled validation and startup spin-off by building full-stack analytics pipelines supporting trained model outputs. • Implemented computer vision models for performance tracking • Trained/engineered ML models for analysis workflows • Built systems for performance tracking using SQL and No-SQL • Supported end-to-end validation and productization of analytics outputs

2022 - Present

Lead AI Scientist / AI Engineer, Rectlabs Inc (Rectvision, Synx, Trackus, BimpeAI)

Fine-tuning

Served as founding technical lead for enterprise AI platform products, guiding model development that supports AI training workflows. Led end-to-end development and operational deployment of computer vision, synthetic AI, and sports analytics systems for downstream training and evaluation. Managed production-ready build-out and platform API systems used to generate AI outputs for client use. • Delivered Rectvision (no-code/low-code computer vision toolkit) • Built Synx (generative synthetic AI engine) • Launched Trackus (sports AI analytics using CV/ML pipelines) • Developed BimpeAI (AI commerce layer)

2021 - Present

AI Startup Technical Advisor, AwaDoc

OtherFine-tuning

Advised on AI technical work for a health-focused AI product, supporting launch and rapid scaling through infrastructure and model integration. Contributed to training-related infrastructure such as AI integration and deployment pipelines that enabled large-scale usage growth. Designed scalable backend services and improved conversational model performance through fine-tuning and robust rollout. • Designed scalable backend infrastructure • Fine-tuned conversational models • Implemented deployment/rollout pipelines • Supported successful launch and scaling of AI health assistant

2025 - 2025

Senior AI Engineer/Team Lead, Data Science Nigeria (sonalysis)

VideoAction Recognition

Built full AI systems to perform player and team recognition and action recognition as a technical lead for sports analytics use cases. Engineered and configured pipelines using computer vision and deep learning tooling to support training and model performance. Developed model capabilities for recognition and classification tasks required by the application. • Developed player recognition models • Developed team classification models • Developed action recognition models • Implemented end-to-end AI system using ML tooling for training and deployment

2020 - 2022

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Education

Work History