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Senior Full Stack Engineer | Shakeef Ahmed Rakin

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Senior Full Stack Engineer with over 2 years of professional experience and 4+ years of project depth. I architect end-to-end SaaS products across web, mobile, and desktop, and ship production-grade AI/ML pipelines.

About Me
Shakeef Ahmed Rakin | Hero Image

What I work on

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Full Stack Development

  • Architecting SaaS products end to end
  • Migrating legacy stacks to modern foundations
  • Designing public APIs for teams and AI clients

AI & Machine Learning

  • Shipping production AI pipelines
  • Training and benchmarking custom models
  • Wiring AI into real product flows

Mobile & Desktop

  • Mobile apps sharing one backend with web
  • Desktop tools for industrial and research work
  • Open source templates for cross platform delivery

Where I've worked

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Professional experience building production software across web, mobile, desktop, and AI.

  1. 2 monthsMay 2026 – Present

    Senior Full Stack Developer

    ve2max

    • Contributing to development and maintenance of high-performance digital products across the agency's portfolio
    • Building scalable architecture for both frontend and backend systems while ensuring production-grade code quality
    • Handled database migration for ClubOS, the operating system for modern football clubs
    • Migrated ClubOS performance platform to a monorepo-based structure where all platforms reside
    • Improved cross-platform UI/UX through reusable components and Figma-aligned implementations across web and mobile
  2. 1 year 7 monthsOct 2024 – Apr 2026

    Full Stack Developer

    Podcas

    • Architected web (Next.js) and mobile (React Native) apps from the ground up
    • Led migration from legacy Supabase stack to PostgreSQL + Drizzle ORM
    • Built end-to-end AI podcast generation pipelines with LLM scripting and multi-provider TTS
    • Designed a production multi-region daily news podcast system
    • Shipped a public OpenAPI-spec'd REST API and MCP server for programmatic podcast generation
  3. 1 year 3 monthsAug 2024 – Oct 2025

    .NET Software Developer

    Prudence College Dublin

    • Built full agroforestry and dairy cattle economics modules end-to-end for HOLOS-IE
    • Designed IPCC Tier 2 emission factor models for soil organic carbon and nitrogen pool dynamics
    • Built front-facing UI components and backend domain models for HOLOS-EU
    • Contributed to the HOLOS-EU modernization initiative using Electron, React, and FastAPI

Hackathons and awards

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Hackathons, datathons, and competitions from my undergrad years.

  • New Academia Learning Innovation 2024
  • GDSC CRCE BitNBuild’24 Hackathon
  • Kitahack 2024
  • DevHack 2023
  • MyRapid Bus x UTM Data Hackathon 2023
  • InnoJam 2023 - Smart Sustainable City

Things I've built

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A showcase of my completed and ongoing work across web, desktop, mobile, and machine learning.

Papers I've co-authored

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Papers I've co-authored with collaborators across multiple institutions.

    • ONGOING PUBLICATION
    • Institute of Electrical and Electronics Engineers (IEEE)

    Cross-Dataset Generalization Analysis of Deep Transfer Learning Models for Diabetic Retinopathy Classification

    This research evaluates the robustness of deep transfer learning architectures for diabetic retinopathy classification across different clinical datasets, identifying EfficientNetB2 as the most stable model against domain shift.

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    • PUBLISHED
    • Springer, Cham

    Optimizing American Sign Language Recognition with Binarized Neural Networks - A Comparative Study with Traditional Models

    This undergraduate thesis compares the performance of Binarized Neural Networks (BNNs) against traditional models in the context of American Sign Language (ASL) recognition. The results suggest that BNNs are competitive with traditional models while requiring less computational resources.

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    • PUBLISHED
    • Copernicus Publications

    HOLOSIE - A System Model for Assessing Carbon Emissions and Balance in Agricultural Systems

    HOLOSIE is a system model for assessing carbon emissions and balance in agricultural systems that simulates the carbon cycle and fluxes in agroecosystems. The model is designed to evaluate the impacts of different management practices, such as crop rotation, fertilization, and irrigation, on the carbon balance of agroecosystems.

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    • PUBLISHED
    • SEMARAK ILMU SDN BHD

    Malaysian Sign Language Real-Time Tutorial using CNN Algorithm

    This research aims to develop a real-time Malaysian Sign Language (MSL) tutorial system using Convolutional Neural Networks (CNN) algorithm. The system is designed to provide immediate feedback to users based on their sign language skills.

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Recent writing

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Explore my latest blog posts on web development, AI, and research projects