Coded Fosil

ML Challenge Architecture: Designed, validated, and published competitive machine learning benchmark challenges, prompt-hardening evaluation rules, and dataset verification pipelines.
Competitive Challenge Execution: Engineered end-to-end solutions for prize pool benchmark challenges, optimizing data processing, model scoring, and accuracy.
Reproducible Test Infrastructure: Built containerized (Do

- Build a production payroll SaaS for tax advisors with strict role-based access control and row-level security
- Implemented Next.js 15 partial pre-rendering: static shell served from the edge in under 50 ms while user data streams through React Server Components
- Added per-tenant cache tagging for targeted CDN purges, plus JWT verification and tenant context at the edge middleware
- Maintain 19

- Lead architecture, development and deployment of ML-driven applications for enterprise clients; mentor [N] junior engineers
- Designed human-in-the-loop validation, automated monitoring and self-healing recovery for production LLM deployments
- Built an agentic RAG system (ARAB) with human-in-the-loop validation and self-healing recovery [add your measured result]
- Introduced AI governance guid

Engineered Project Eris ML Benchmarks: Designed competitive machine learning challenges, prompt-hardening evaluation rules, and multi-stage dataset verification pipelines for LLM capability testing.
Competitive Challenge Execution: Developed high-performing solution pipelines for competitive ML benchmark pools, focusing on complex dataset processing, model output verification, and accuracy.
AI Mod

• Lead architecture, development, and deployment of ML-driven intelligent applications for enterprise clients
• Partner with cross-functional teams to translate business requirements into scalable AI solutions; mentor junior developers
• Design human-in-the-loop validation pipelines, automated monitoring, and self-healing recovery for production LLM deployments
• Drive responsible AI practices: et

- Built v2.5 of a lead-generation platform: SEO landing pages, paid acquisition funnels, an A/B-configurable AI chat widget and lead quality scoring
- Built an n8n router agent that scores leads, matches vendors and manages credits with no human dispatch
- Automated digital PR: incident-spike detection, GPT-generated press pages, Hunter.io outreach and embeddable trend charts
- Deployed scheduled

•I led the backend architecture for three MERN applications at DOT, using TypeScript and Node.js to build secure, scalable services with clean architecture. I enforced type safety with DTOs, set up GitHub CI/CD pipelines with ESLint/Prettier, and implemented JWT cookies and XSS/CSRF protections. Using Redis for caching, I optimized performance, cutting database load. I have applied modular design

•As a MERN-Stack Developer at chrisFitApp, I built a real-estate platform with MongoDB, Express.js, and Node.js (TypeScript) for scalable backend, and React with Next.js for SEO-friendly, Tailwind-styled UI. I added secure JWT authentication and used ESLint/Prettier and Git workflows. This project taught me fast-paced development and SSR, using MongoDB, React, Next.js, and TypeScript.

•I delivered end-to-end solutions for two international clients at taptosign, including the TapToSign digital-signature platform, building high-performance RESTful APIs with Go (Gin/net/http), PostgreSQL, and Redis for low-latency backend services. I developed a responsive Preact and TypeScript SPA with Tailwind CSS for the frontend, and containerized services with Docker, setting up CI/CD pipelin

In my role as a Full Stack Developer, I worked on the Tap Top Sign project, a cutting-edge solution designed to streamline and digitize the manual signing process, making it more efficient and user-friendly. I was responsible for both frontend and backend development, ensuring seamless functionality and a great user experience.

Designed comprehensive end-to-end test suites using Cypress. Integrated automated testing into the CI/​CD pipeline, applying component-driven development and TDD best practices while quickly ramping up on both Storybook and Cypress workflows.

Over two years of intensive problem-solving in data structures and algorithms—mastering patterns like dynamic programming, graphs, trees, and sorting.

Oct 2023

Oct 2026

Oct 2023

Oct 2023

Sep 2023