CS @ NYU Abu Dhabi · Graduating May 2026
I design and deliver machine learning and MLOps systems across distributed data pipelines and production-grade models that scale. This is a showcase of my work bridging research and engineering.
I'm an AI engineer focused on building data-driven, distributed systems: designing robust architectures, optimizing ML workflows, and deploying intelligent solutions that perform reliably at scale.
My background spans distributed computing, streaming algorithms, and large-scale data processing, with deep hands-on experience across the full ML lifecycle: from feature engineering and model training to experiment tracking, containerization, and CI/CD.
A selection of AI and systems projects spanning distributed ML pipelines and applied research.
Restaurant ordering and payments platform I founded. Customers scan a QR code to order and pay from their phone, with WhatsApp notifications, M-Pesa payments, split billing, and a real-time kitchen dashboard.
500+ concurrent users load tested · live at safisend.com
Blockchain loyalty rewards on the XRP Ledger. Customers earn SAFI tokens on every restaurant payment and redeem them for discounts. Extended with SafiScore, a verifiable on-chain credit profile.
1 of 15 selected · Ripple Builder Residency · Demo Day London
End-to-end sentiment analysis pipeline pairing Spark MapReduce TF-IDF feature engineering with PyTorch deep models (LSTM / Transformer / BERT), tracked via MLflow and containerized with Docker.
5 model architectures · Spark + PyTorch unified pipeline
AI portfolio optimization built on PySpark + PyTorch with Modern Portfolio Theory optimizers, Deep RL (DDPG/PPO) rebalancing, and Monte Carlo risk simulations with realistic backtesting.
DDPG · PPO · Monte Carlo stress testing
Full-stack job platform with an LLM-powered A/B testing framework comparing original vs. AI-enhanced job descriptions, with conversion analytics, dual auth, and a Dockerized CI/CD deploy.
LLM A/B testing · 20+ API endpoints · conversion analytics
AI visual assistant for visually impaired users: real-time object detection and navigation guidance powered by OpenCV and a Python inference backend.
YOLOv5 + MiDaS depth · real-time audio guidance
Building AI, ML, and distributed systems across research labs and startups.
Built an AI mathematics tutoring system: a RAG pipeline with multi-agent orchestration, symbolic math verification, and text-to-speech for natural, accurate tutoring.
Developed ML models from EDA to deployment and built MLOps pipelines for automated training, deployment, and monitoring in production.
Shipped CI/CD with GitHub Actions, observability with the ELK stack, AWS infrastructure with CDN delivery, and JMeter load testing for scale.
Selected as 1 of 15 fellows. Built SafiPoints, a blockchain loyalty system for restaurants on the XRP Ledger, presented at Ripple Demo Day, London.
A GitHub App that uses LLM-powered automated program repair to fix breaking dependency updates in CI builds for Java projects, integrated directly into the pull-request workflow.
Read the paperCoursework spanning distributed systems, algorithms, machine learning, databases, operating systems, and networking.
Always happy to trade notes on AI, ML, and distributed systems, or to talk through any of the work shown here. Reach out anytime.
enockmecheo@nyu.edu