AI Engineer

CS @ NYU Abu Dhabi · Graduating May 2026

Building intelligent systems that solve real-world problems.

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.

Enock Mecheo
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Engineering Intelligence Into Production.

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.

Peer-Reviewed · FSE 2026

DependaFix: Fixing Breaking Dependency Updates with LLMs

First author · Tool Demonstrations Track · ACM FSE 2026

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 paper
2022 to 2026

B.S. Computer Science, NYU Abu Dhabi

Full scholarship · Semester abroad at NYU Tandon

Coursework spanning distributed systems, algorithms, machine learning, databases, operating systems, and networking.

A selection of AI and systems projects spanning distributed ML pipelines and applied research.

01

SafiSend

Restaurant platform I founded, live in production. Its personalization layer ranks each menu per diner using semantic embeddings, collaborative filtering, and from-scratch FP-Growth basket mining, with a cross-restaurant taste profile that solves cold start for anonymous first-time customers. Restaurants onboard by photographing their paper menu, read by a GPT-4o Vision pipeline.

Recommender SystemsOpenAI EmbeddingsGPT-4o VisionFP-GrowthReactM-Pesa

5-tier cold-start ladder · 1536-dim taste vectors · ~144k lines live at safisend.com

AI/ML · Recommender Systems Case study
02

Kaizen

AI-native personal OS whose Coach acts on real data instead of just discussing it. A streaming tool-use loop exposes 12 tools bound to the same service layer the REST API uses, so the agent writes through identical validated paths — behind one provider interface that both Claude and OpenAI implement.

AI AgentsClaudeTool UseFastAPIpgvector

12 agent tools · provider-neutral Claude/OpenAI · streamed tool use

AI Engineering · Agentic Systems Case study
03

SafiPoints

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.

XRPLSolidityReactNode.js

1 of 15 selected · Ripple Builder Residency · Demo Day London

Blockchain · DeFi Case study
04

MapReduceMLOps

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.

SparkPyTorchMLflowDocker

5 model architectures · Spark + PyTorch unified pipeline

MLOps · Distributed ML Case study
05

QuantOpt

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.

PySparkPyTorchCVXPYDeep RL

DDPG · PPO · Monte Carlo stress testing

Quant Finance · ML Case study
06

JobBoard

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.

FlaskNext.jsTogether.aiMongoDB

LLM A/B testing · 20+ API endpoints · conversion analytics

LLM · Full-Stack Case study
07

AYN

AI visual assistant for visually impaired users: real-time object detection and navigation guidance powered by OpenCV and a Python inference backend.

PythonOpenCVFlask

YOLOv5 + MiDaS depth · real-time audio guidance

Computer Vision · A11y Case study

Building AI, ML, and distributed systems across research labs and startups.

Jan 2025 – May 2026

AI/ML Research Assistant

NYU Abu Dhabi

Built an AI mathematics tutoring system: a RAG pipeline with multi-agent orchestration, symbolic math verification, and text-to-speech for natural, accurate tutoring.

May – Aug 2025

Software Engineer, Machine Learning

GBCS Group

Developed ML models from EDA to deployment and built MLOps pipelines for automated training, deployment, and monitoring in production.

Jan – May 2025

Software Engineer

Tiny Totos

Shipped CI/CD with GitHub Actions, observability with the ELK stack, AWS infrastructure with CDN delivery, and JMeter load testing for scale.

Feb – Apr 2026

Blockchain Developer, Builder Residency

Ripple · XRPL Fellow

Selected as 1 of 15 fellows. Built SafiPoints, a blockchain loyalty system for restaurants on the XRP Ledger, presented at Ripple Demo Day, London.

Let's Talk Engineering.

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