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Results-driven Data Scientist and AI Engineer with a Distinction in M.Sc. Data Science and a strong engineering background. I specialize in building end-to-end AI-powered applications, LLM/RAG systems, and scalable full-stack platforms (Next.js, NestJS, Django, Python). With experience as CTO and Senior AI Engineer across fintech, healthtech, and Web3 ventures, I have delivered measurable impact through AI-driven clinical tools, intelligent financial workspaces, onchain integrations, and predictive analytics, consistently improving efficiency, accuracy, and revenue. Passionate about leveraging AI, machine learning, and modern software engineering to solve complex problems and drive business growth.…Results-driven Data Scientist and AI Engineer with a Distinction in M.Sc. Data Science and a strong engineering background. I specialize in building end-to-end AI-powered applications, LLM/RAG systems, and scalable full-stack platforms (Next.js, NestJS, Django, Python). With experience as CTO and Senior AI Engineer across fintech, healthtech, and Web3 ventures, I have delivered measurable impact through AI-driven clinical tools, intelligent financial workspaces, onchain integrations, and predictive analytics, consistently improving efficiency, accuracy, and revenue. Passionate about leveraging AI, machine learning, and modern software engineering to solve complex problems and drive business growth.

Enoch Adesina

Data Scientist, AI Engineer, Full Stack Developer, +3

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Results-driven Data Scientist and AI Engineer with a Distinction in M.Sc. Data Science and a strong engineering background. I specialize in building end-to-end AI-powered applications, LLM/RAG systems, and scalable full-stack platforms (Next.js, NestJS, Django, Python). With experience as CTO and Senior AI Engineer across fintech, healthtech, and Web3 ventures, I have delivered measurable impact through AI-driven clinical tools, intelligent financial workspaces, onchain integrations, and predictive analytics, consistently improving efficiency, accuracy, and revenue. Passionate about leveraging AI, machine learning, and modern software engineering to solve complex problems and drive business growth.…Results-driven Data Scientist and AI Engineer with a Distinction in M.Sc. Data Science and a strong engineering background. I specialize in building end-to-end AI-powered applications, LLM/RAG systems, and scalable full-stack platforms (Next.js, NestJS, Django, Python). With experience as CTO and Senior AI Engineer across fintech, healthtech, and Web3 ventures, I have delivered measurable impact through AI-driven clinical tools, intelligent financial workspaces, onchain integrations, and predictive analytics, consistently improving efficiency, accuracy, and revenue. Passionate about leveraging AI, machine learning, and modern software engineering to solve complex problems and drive business growth.

Available to hire

Results-driven Data Scientist and AI Engineer with a Distinction in M.Sc. Data Science and a strong engineering background. I specialize in building end-to-end AI-powered applications, LLM/RAG systems, and scalable full-stack platforms (Next.js, NestJS, Django, Python).
With experience as CTO and Senior AI Engineer across fintech, healthtech, and Web3 ventures, I have delivered measurable impact through AI-driven clinical tools, intelligent financial workspaces, onchain integrations, and predictive analytics, consistently improving efficiency, accuracy, and revenue. Passionate about leveraging AI, machine learning, and modern software engineering to solve complex problems and drive business growth.

Skills

Experience Level

Expert

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Intermediate

Intermediate

Work Experience

Chief Technology Officer at Organized Financial Future

November 1, 2025 - Present

Led end-to-end product and technology strategy for a structured personal finance platform; architected a Next.js + NestJS monorepo with Privy authentication, a Prisma/Postgres data layer, and a proxy API layer that decouples the frontend from the backend for secure, scalable deployments. Implemented an AI-powered DNA workspace with agent-assisted financial thinking, persistent session state, and in-browser Code Studio featuring esbuild-wasm transpilation and ZIP artifact export. Established engineering best practices across CI/CD pipelines, environment variable governance, database migration discipline, and CORS allowlists; built a fully separate admin app with JWT/bcrypt authentication, httpOnly cookie sessions, and privileged user-management tooling, ensuring customer and operator identity paths remain independently auditable.

Senior AI Engineer at Curanostics Health

October 1, 2025 - Present

Design and implement AI-driven clinical decision support tools, integrating ML pipelines into health data workflows and improving diagnostic processing speed by 60%. Develop LLM-powered features to enhance patient data analysis and reduce manual clinical review time by 40%; build RAG-based systems improving clinical query response accuracy by 55% over baseline models. Collaborate with clinical and data science teams to fine-tune models on proprietary health datasets, increasing prediction precision by 28%. Maintain HIPAA-compliant AI pipelines and data handling protocols, ensuring zero data breach incidents across production deployments.

Senior Software Engineer at Fish Network (subsidiary of Iron Key Capital)

September 1, 2025 - Present

Lead REST API and on-chain integration development; implement smart contract event listeners and data indexing, reducing data latency by 65% and improving sync reliability by 35%. Drive bug triage, proactive code review, and automated testing, cutting regression incidents by 40% and reducing critical bug backlog by 50% within the first 60 days. Lead incident response and post-incident analysis, reducing MTTR by 45% and cutting production incidents by 38% quarter-over-quarter. Contribute to refactoring and performance improvements across the platform, achieving a 30% reduction in average API response times and improving overall release stability.

AI Engineer at Iron Key Capital

February 1, 2025 - September 1, 2025

Built and deployed a custom survey AI Agent with batch and booking-link triggers, improving outbound call success and data sync reliability to 95%. Built integrated HubSpot features with native Airtable sync, reducing manual update time by 50% and maintaining less than 1% API failure rate across integrations. Designed scalable AI workflows and integrations with automated monitoring and error handling, improving processing efficiency by 30% and achieving 99.5% uptime with an 85% reduction in system downtime.

Product Operations Analyst at Career Launch AI

June 1, 2023 - January 31, 2024

Managed 500+ monthly inbound inquiries and directed prospects to sales leaders, increasing deal closures by 20% and growing the sales pipeline by 30%. Tracked and reported key KPIs using data analytics tools and participated in investment due diligence, leading to a 25% improvement in overall project performance.

Product Operations Manager at Career Launch AI

January 1, 2024 - March 1, 2025

Promoted within one year; led cross-functional teams to streamline product workflows, achieving a 50% reduction in time-to-market for new features and a 25% improvement in sprint velocity. Managed 500+ inquiries and contributed to a 25% improvement in overall project performance by tracking KPIs and supporting due diligence.

Founding Software Engineer at Follow-Up Recruiting

November 1, 2023 - December 31, 2024

Built a SaaS networking platform for students using Django, REST APIs, React.js, and TypeScript on an AWS-hosted backend; designed and tested API endpoints using Postman; collaborated with frontend team to enhance UI/UX, contributing to a 70% improvement in operations and 80% increase in client return rate.

Revenue Data Analyst at Rhythm

April 1, 2023 - June 30, 2023

Built predictive pricing and revenue models in Python and SQL across 500K+ records; created 8+ interactive dashboards in Power BI and Tableau; improved data accuracy by 20% and directly supporting revenue operations decisions.

Financial Data Analyst at Delphos Services

December 1, 2022 - April 1, 2023

Modeled large datasets in Python and SQL to surface key business insights, increasing decision-making accuracy by 20% and directly influencing $500K+ in project outcomes. Analyzed transactional trends across 2M+ records and managed 10+ concurrent workstreams, maintaining a 95% on-time delivery rate and driving a 20% increase in client portfolio growth.

Researcher / Data Scientist at University of East London

December 1, 2023 - November 1, 2024

Developed a predictive model comparing logistic regression and random forest classifiers (94% and 95% accuracy) to forecast diabetes likelihood from gender, age, and medical history data; applied quantitative analysis methods and feature engineering to improve model robustness for clinical decision support.

Researcher / Data Scientist at Crypto Research Institute

November 1, 2024 - Present

Built ML classifiers (logistic regression 70% accuracy, random forest 80% accuracy) combining OHLCV data with Moving Average, ATR, and RSI metrics to forecast crypto price movements; delivered actionable insights to traders by translating model outputs into interpretable signals for data-driven investment decisions.