I am a disciplined and highly motivated developer specializing in AI Prompt Design and technical logic. I am currently a 200-level Biochemistry student at Landmark University, where I bridge scientific analysis with software development, mastering tools like Google AI Studio to build sophisticated algorithms and prototypes for personal apps with a focus on high-fidelity prompt engineering and backend integration using Firebase and Supabase. As an Independent AI Developer and Academic Researcher, I design full-stack prototypes, optimize LLM outputs, and integrate APIs to extend app functionality, while iteratively debugging and refining AI systems. I thrive in fast-paced environments and continuously adapt to new tools and frameworks.

MICHAEL SULE

I am a disciplined and highly motivated developer specializing in AI Prompt Design and technical logic. I am currently a 200-level Biochemistry student at Landmark University, where I bridge scientific analysis with software development, mastering tools like Google AI Studio to build sophisticated algorithms and prototypes for personal apps with a focus on high-fidelity prompt engineering and backend integration using Firebase and Supabase. As an Independent AI Developer and Academic Researcher, I design full-stack prototypes, optimize LLM outputs, and integrate APIs to extend app functionality, while iteratively debugging and refining AI systems. I thrive in fast-paced environments and continuously adapt to new tools and frameworks.

Available to hire

I am a disciplined and highly motivated developer specializing in AI Prompt Design and technical logic. I am currently a 200-level Biochemistry student at Landmark University, where I bridge scientific analysis with software development, mastering tools like Google AI Studio to build sophisticated algorithms and prototypes for personal apps with a focus on high-fidelity prompt engineering and backend integration using Firebase and Supabase.

As an Independent AI Developer and Academic Researcher, I design full-stack prototypes, optimize LLM outputs, and integrate APIs to extend app functionality, while iteratively debugging and refining AI systems. I thrive in fast-paced environments and continuously adapt to new tools and frameworks.

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Experience Level

Expert
Expert
Intermediate
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Independent AI Developer (Self-Directed Training)
January 1, 2024 - Present
Full-stack prototype development focusing on synchronizing frontend logic with FireBase and Supabase backends. Developed and refined proprietary AI algorithms using Google AI Studio to optimize LLM responses. Implemented API and feature integration to extend app functionality and explored AdMob/Google Ads for monetization. Designed high-fidelity system instructions for multi-step reasoning and automated tasks via prompt engineering. Applied iterative debugging techniques with scientific data-recording methods to track, test, and resolve logic gaps in personal software projects.
Student Researcher (Academic) at Landmark University Lab
January 1, 2024 - Present
Qualitative analysis: performed complex chemical tests, including Benedict’s, Molisch’s, and Biuret tests, to identify and analyze biomolecules. Data integrity: analyzed and interpreted results to conclude nutritional and chemical properties with high precision. Fast learning: rapidly adapted to a high-pressure university environment and complex biochemical concepts.
Independent AI Developer at Self-Directed Training
January 1, 2024 - Present
Full-Stack Prototype: engineered personal startup application prototypes to master the synchronization of frontend logic with Firebase and Supabase backends. AI Logic & Algorithms: developed and refined proprietary algorithms using Google AI Studio to optimize LLM responses for accuracy and speed. API & Feature Integration: implemented various APIs to extend app functionality and integrated AdMob to study mobile advertising. Prompt Engineering: designed high-fidelity system instructions to automate complex tasks and solve multi-step problems through generative AI. Iterative Debugging: applied scientific data-recording techniques to track, test, and resolve logical gaps within personal software projects.

Education

B.Sc Biochemistry at Landmark University
January 1, 2024 - February 9, 2026
West African Senior School Certificate (WASSCE) at Redeemers Secondary School
January 11, 2030 - January 1, 2024
B.Sc. Biochemistry at Landmark University
January 1, 2024 - February 9, 2026
West African Senior School Certificate (WASSCE) at Redeemers Secondary School
January 11, 2030 - January 1, 2024

Qualifications

West African Senior School Certificate (WASSCE)
January 11, 2030 - January 1, 2024

Industry Experience

Software & Internet, Education, Professional Services, Media & Entertainment, Healthcare