Malcolm Clottey

Software Engineer

Building full-stack, AI-powered, and cloud-deployed systems.

  • Software Engineer
  • Washington, DC
  • US Citizen
  • BSc Computer Science + MS in progress
  • Python · React · Django · AWS
  • AWS Certified Developer

Projects

Real-Time Fraud Detection Platform

98.65% accuracy, 0.9987 AUC

Flask microservice scoring transactions in real time via XGBoost. SMOTE/ADASYN class balancing, containerized with NGINX and health checks, 99.67% uptime.

  • Flask
  • XGBoost
  • SMOTE
  • ADASYN
  • NGINX
  • Docker

Privacy-Preserving Federated Learning Microservice

Healthcare federated learning platform enabling collaborative model training without sharing raw patient data. Flower, PyTorch, differential privacy via Opacus, containerized as gRPC microservices with Docker.

  • Flower
  • PyTorch
  • Opacus
  • Docker
  • gRPC

Emotion-Adaptive AI Interface

A browser-only facial-emotion detector that retunes a chat interface's gradient, motion, and tone in real time — proving 'emotion-aware' doesn't require sending anyone's face to a server.

  • React
  • TypeScript
  • Vite
  • Framer Motion
  • MediaPipe
  • Node.js
  • Express
  • Gemini API
  • MongoDB Atlas
  • Vercel
  • Render

Experience

  1. Jun 2026 – Present

    AI Document Intelligence Extern

    Extern, Inc. (in partnership with Pfizer) · Remote

    • Built AI pipelines processing pharmaceutical vendor files using OCR (Tesseract, PaddleOCR) and RAG for extraction and classification.
    • Developed a RAG-based document retrieval system with LlamaIndex, optimized with chunk tuning and open-source LLMs (Mistral, Phi-2).
    • Benchmarked OCR accuracy, RAG retrieval quality, and routing performance; delivered a technical report on trade-offs and deployment recommendations, and built a demo UI.
  2. Mar 2026 – May 2026

    AI Extern

    Extern, Inc. (in partnership with Wayfair) · Virginia

    • Built AI agents with n8n automating trend detection, competitor tracking, and marketing content generation across the home goods sector.
    • Tracked competitor pricing and campaigns via JavaScript web-scraping scripts feeding structured insights into pricing strategy.
    • Built a live-updating Google Sheets dashboard (React + Apps Script) surfacing AI-generated trend signals and competitive benchmarks.
  3. Jul 2025 – Sep 2025

    Software Developer Intern

    Tyncad Software Company

    • Engineered full-stack improvements to a live Django/JavaScript platform, integrating redesigned UI with dynamic backend endpoints.
    • Refactored front-end assets and minimized HTTP payloads, reducing load times by approximately 40%.

Leadership

  • Project Manager · Research Club, Ashesi University

    Jul 2023 – Oct 2023

    Led 40+ members, organized research conferences and workshops, managed executive board operations.

  • Member · Google Developer Student Club

    2023

Skills

Languages

  • Python
  • Java
  • JavaScript
  • TypeScript
  • C++
  • SQL
  • Dart
  • R

Frameworks

  • React
  • Next.js
  • Node/Express
  • Django
  • Flask
  • FastAPI
  • Flutter
  • .NET

Databases

  • PostgreSQL
  • MySQL
  • MongoDB
  • Prisma
  • Firebase

Cloud & DevOps

  • AWS (EC2, ECS)
  • Docker
  • GitHub Actions
  • CI/CD
  • Prometheus
  • Grafana
  • NGINX
  • Git

AI/ML

  • RAG
  • LLM agents
  • OCR
  • PyTorch
  • XGBoost
  • Federated learning

Education & Certifications

  • M.S. Computer Science — Engineering for Professionals

    Johns Hopkins University

    Expected 2028

  • BSc Computer Science

    Ashesi University College

    Jan 2022 – Jun 2025

  • AWS Certified Developer – Associate

    Amazon Web Services

    Sep 2025 – Sep 2028

About

I'm a Computer Science graduate building full-stack, AI-powered, and cloud-deployed systems — from RAG pipelines to fraud detection to e-commerce platforms deployed in production. I've contributed to live engineering teams using Python, React, Django, and AWS, and I'm looking for new-grad and early-career roles in software engineering, backend, full-stack, or AI/ML.

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