I’m a Software Engineer and Master’s student at the University of New Haven specializing in Applied AI, Distributed Systems, and Cloud Infrastructure. Currently serving as a Graduate Research Assistant at the SAIL Lab, I architect AI-powered systems for automated bid scoring and real-time analytics. Previously at KNUST, I scaled data pipelines to handle 50M+ monthly data points for 20,000+ active users. I am passionate about shipping reliable, user-centered software—ranging from backend microservices to intelligent, reinforcement learning–driven agents. I am actively seeking roles where I can build at scale and deliver impactful, AI-assisted products.
Raymond Frimpong Amoateng
Building Scalable Intelligence.
Software Engineer · AI · Distributed Systems · Cloud
5+
Years Experience
10+
Projects Built
8+
Certifications
4.0
GPA
About Me
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Microservices
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AWS / Cloud Native
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Computer Vision
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Distributed Systems
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DevOps & CI/CD
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AI Agents (PyTorch)
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System Design
My Projects
Healing Stones - 3D Recon
Archaeology x AI
Reconstructing fragmented 3D archaeological artifacts using digital scans, geometry, and classical machine learning.
Implementing end-to-end pipeline for mesh loading, preprocessing, and robust registration of cultural heritage objects.
Python, Open3D, Machine Learning, 3D Geometry
→RenAIssance - OCR Pipeline
Historical Document AI
Built a CNN-RNN character recognizer with lexicon-constrained beam search to decode noisy 17th-century printed Spanish texts.
Integrated Gemini LLM for automated OCR post-correction, resolving period-specific spelling and ligature errors.
Python, PyTorch, TrOCR, Gemini API, Computer Vision
→Cognitive Flexibility Under Load
AGI Benchmark (Kaggle)
Built an LLM evaluation benchmark measuring executive function (inhibitory control, cognitive flexibility) through parametric rule-switching tasks.
Python, Kaggle Benchmarks SDK, DeepMind AGI Hackathon
→Avera - Safety Analytics
Geospatial Intelligence
Built production web app delivering US neighborhood safety snapshots by combining crime data, environmental alerts, and geospatial context.
Django REST, Next.js, PostGIS, Mapbox, Docker, Redis
→SentinelMD - Safety Copilot
Clinical Safety AI
Built offline-capable clinical safety tool leveraging MedGemma open-weight models to identify workflow risks from structured and unstructured inputs.
Python, MedGemma, Machine Learning, Systems Design
→Edge Persona Simulator
Cloudflare AI
Real-time AI agent system simulating edge infrastructure (WAF, Cache, Bot Mgmt) responses to incident scenarios.
TypeScript, Cloudflare Workers, Workers AI
→Tower Defense AI Agent
Reinforcement Learning
Implemented Q-Learning and PPO agents, achieving a 78% win rate versus 62% A* baseline through RL optimization.
Python, PyTorch (PPO), Pygame
→Scalable ML Microservice
MLOps Architecture
Operationalized a Machine Learning API containerized for high-availability deployment via Kubernetes cluster.
Kubernetes, Docker, Flask, CircleCI, AWS
→CertEasy (SaaS Platform)
Completed
Architected a certification prep SaaS platform. Integrated Stripe for subscription management and Google OAuth for secure identity management.
Django, PostgreSQL, Redis, Stripe API, Docker, Tailwind
→Samaritan: Real-Time Chat
Completed
Built a real-time messaging platform using Firebase Firestore for instant data syncing.
React, Firebase NoSQL, UUID, State Management
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