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Full‑stack & AI/ML engineering that ships.

I’m Abiodun Caleb Adesesan. I build production-ready web products and practical ML prototypes—focused on clarity, performance, and measurable outcomes.

About

Who I am

I am Abiodun Caleb Adesesan. I'm a full‑stack engineer with an AI/ML focus. I help teams ship clean, fast web products and practical ML prototypes—from UI to APIs to deployment.

Strengths: crisp UI hierarchy, performance-aware implementation, and communication that keeps projects moving.

Selected work

Case studies (high-signal)

A few projects shown the way recruiters and clients read them: problem → approach → outcomes.

View all on GitHub →

Web Design & Build · 2026

Paris American International University

A university site needed a modern, mobile-first presence with clear program discovery and a maintainable admin workflow.

Open
WordPressElementorPerformance optimizationSEO basicsClick for details

Approach

  • Designed an information architecture focused on prospective-student questions.
  • Implemented responsive templates in WordPress + Elementor with reusable sections.
  • Optimized assets and layout for fast first load and stable CLS.

Challenges

  • Balancing marketing-style visuals with academic clarity.
  • Keeping templates flexible for non-technical updates.

Outcomes

  • Clearer navigation and faster page interactions on mobile.
  • Easier content updates for admins via modular sections.

Conversion-focused Website · 2026

Study in North Cyprus

An education consultancy needed a site that builds trust quickly and guides visitors to inquiry actions.

Open
WordPressElementorUI/UXAnalytics-ready structureClick for details

Approach

  • Built a homepage that leads with value proposition and clear CTAs.
  • Created landing-page style sections for services, proof, and FAQs.
  • Improved readability and hierarchy across devices.

Challenges

  • Ensuring the content stays scannable without losing detail.

Outcomes

  • Stronger CTA visibility and a clearer inquiry path.

Applied ML (NLP) · 2025

PEFT / LoRA — Sentiment Analysis

Fine-tune a transformer for sentiment classification efficiently (lower compute/cost) while tracking baseline vs tuned performance.

Open
PythonHugging Face TransformersPEFT/LoRAJupyterClick for details

Approach

  • Set up a baseline DistilBERT evaluation on IMDB.
  • Applied LoRA via PEFT and compared metrics against the baseline.
  • Documented the experiment steps for reproducibility.

Challenges

  • Keeping training stable while remaining compute-efficient.

Outcomes

  • A repeatable workflow for efficient fine-tuning experiments.

Product / Commerce UI · 2025

Gourmet Bakes

Create a clean, appetizing commerce experience with strong hierarchy, mobile-first layout, and conversion-friendly CTAs.

Open
TypeScriptReact UI patternsResponsive designClick for details

Approach

  • Designed a homepage layout optimized for scanning categories and key actions.
  • Built reusable UI sections and components for rapid iteration.
  • Focused on contrast, spacing, and responsive typography for readability.

Challenges

  • Balancing visual richness with speed and layout stability.

Outcomes

  • A modern UI foundation suitable for a real productized food/commerce build.
More projects

Additional repos and builds. I keep this list curated—quality over quantity.

Services

How I can help

Choose the lane you need—product build, UI polish, or an AI/ML prototype—then we scope it into a clean, shippable plan.

Full‑stack product builds

From idea to shipped feature — clean UI, reliable APIs, and production-ready delivery.

  • Next.js / React apps
  • API design (REST)
  • Performance + accessibility

AI/ML prototyping

Experiment-driven ML work — evaluation, iteration, and pragmatic integration into products.

  • NLP workflows
  • Fine‑tuning (PEFT/LoRA)
  • Data-first iteration

UI/UX engineering

Design-to-code execution that feels polished: motion, hierarchy, responsiveness, and clarity.

  • Component systems
  • Interaction design
  • Mobile-first layout
Process

Process is everything

A simple, streamlined workflow that keeps scope clear and momentum high.

  1. Step 1

    Align on goals

    We define the outcome, audience, constraints, and success metrics — then pick the fastest path to impact.

  2. Step 2

    Design the solution

    Information architecture, UI structure, and technical approach — optimized for clarity and maintainability.

  3. Step 3

    Build & iterate

    Ship in slices, validate quickly, and keep quality high (performance, accessibility, tests where needed).

  4. Step 4

    Launch & improve

    Handoff docs, analytics readiness, and follow-up improvements based on real usage.

Why choose me

Why partner with me

What working together feels like: clear communication, strong UI taste, and delivery that stays fast and predictable.

01

Clarity first

I make it obvious what you do, who it’s for, and what to do next—especially on mobile.

02

Design + engineering

Polished UI and motion, but implemented with performance, accessibility, and maintainability in mind.

03

Fast iteration

I ship in slices, get feedback early, and avoid big-bang surprises late in the project.

04

Pragmatic AI/ML

Experiment-driven ML work that integrates cleanly into products—evaluation and trade-offs included.

05

Reliability

Clean handoff, documented decisions, and an approach that keeps momentum high.

06

Business outcomes

Every section exists to support a goal: trust, clarity, conversion, or decision-making.

Proof

Quick stats

Shipped sites

10+

Client + personal builds

Featured case studies

4

Problem → approach → outcomes

Response time

24–48h

Typical reply window

Social proof

Clients love the work

A few short notes that reflect how I collaborate: clear, reliable, and detail-oriented.

Clear communication, fast turnaround, and the final site felt premium on both desktop and mobile.

Client partner

Education

Strong sense of UI detail, but also pragmatic about performance and maintainable implementation.

Teammate

Engineering

Experience

Experience & achievements

A quick timeline of what I’ve been building. Full details live on LinkedIn.

  1. Software engineering & product builds

    Present

    Independent / academic

    Shipping full-stack web apps, dashboards, and ML experiments — from TypeScript frontends to PHP backends and Jupyter research workflows.

  2. Applied NLP — efficient fine-tuning

    Research & ML

    PEFT / LoRA project

    DistilBERT sentiment analysis with LoRA; evaluation against baselines using Hugging Face Transformers.

  3. Distributed systems mindset

    Architecture

    Microservices study planner

    Designing planner workflows across services — practical introduction to service boundaries and integration.

Skills

Stack & craft

Grouped by what I use to ship: languages, web/UI, ML/data, and engineering practices. More history on LinkedIn.

Languages

  • TypeScript
  • JavaScript
  • Python
  • PHP

Web & UI

  • React
  • Next.js
  • Tailwind CSS
  • HTML5 Canvas
  • Framer Motion
  • WordPress
  • Elementor

ML & data

  • Hugging Face Transformers
  • PEFT / LoRA
  • Jupyter
  • NLP workflows

Practices

  • Microservices
  • REST APIs
  • Git / GitHub
  • Performance-aware UI
Writing

Notes & experiments

Short posts that show how I think—trade-offs, experiments, and lessons learned.

2026

Efficient fine‑tuning with LoRA: what to track

A practical checklist for evaluating PEFT runs: baseline setup, metrics, and common failure modes.

2026

Designing dashboards that scan well

Hierarchy, whitespace, and interaction patterns that make data UIs feel effortless to use.

FAQ Section

Questions, Answers

Get quick answers to your most pressing questions.

Client partner

Education

5.0

Clear communication, fast turnaround, and the final site felt premium on both desktop and mobile.

Software engineering roles (frontend/full‑stack) and freelance builds where you need polished UI, reliable APIs, and clear delivery.

Let's connect

Let's build incredible products together.

Two clear starting points—pick what fits. We can refine scope on a quick call.

Full‑stack web build

Starting from $899

High-performance Next.js/React builds tailored for clarity, speed, and SEO-ready structure.

AI/ML prototype

Starting from $1,299

Applied NLP or lightweight ML features with evaluation, iteration, and integration guidance.

Paris American International University preview

Featured preview

A quick visual reference for what you’ll get—polish, hierarchy, and conversion-ready UI.

Contact

Let’s build something together

Send a message or book a call. I usually respond within 24–48 hours.

Prefer direct email?

abiodunadesesan@gmail.com

Share a short overview, timeline, and links (if any). I’ll reply with next steps and a simple plan.

Open email draft →

Availability

Open to engineering roles, freelance projects, and collaborations.

Software Engineer · AI/ML

Thanks for stopping by! I'm Abiodun Caleb Adesesan, a Software Engineer focused on AI/ML and full-stack development. Let's work together — view my CV and reach out to build the future together.

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© 2026 Abiodun Caleb Adesesan. Built with Next.js.