Ernest Adjetey

Ernest Adjei Adjetey

Caltech Computer Science & Information and Data Science Student

Interested in backend engineering, distributed systems, AI infrastructure, machine learning, and data platforms

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About Me

I am a Computer Science and Information & Data Science student at the California Institute of Technology (Caltech), focused on building reliable software systems at the intersection of backend engineering, distributed systems, AI infrastructure, machine learning, and data platforms.

My experience spans Java backend services, enterprise data-lineage APIs, graph-backed data systems, machine learning research, quantitative research, and full-stack healthcare software. I enjoy working on systems that connect rigorous data infrastructure with practical, user-facing impact.

Education

California Institute of Technology

B.S. in Computer Science & Information and Data Science

September 2024 - Expected June 2028

Relevant Coursework:

  • Machine Learning
  • Statistical Inference
  • Data Structures & Algorithms
  • Computer Vision
  • Computer Architecture
  • Embedded Systems
  • Quantitative Methods

Technical Skills

Languages

Java Python C/C++ SQL JavaScript

Backend & Data Platforms

Flask FastAPI Node.js OpenCV React PostgreSQL AWS Neptune Gremlin REST APIs

Systems, AI & Tools

PyTorch MCP Docker Git Linux Backend Engineering Distributed Systems AI Agents RAG

Experience

Software Engineering Intern

Intuit

June 2026 – Present

  • Designed and shipped production backend features in Java for Intuit’s enterprise data lineage platform, extending node resolution across additional asset types using AWS Neptune graph queries and structured error handling.
  • Built Model Context Protocol (MCP) tools exposing lineage REST APIs to Claude AI agents, enabling grounded asset resolution, lineage analysis, and ownership lookup through trusted production systems.
  • Improved system reliability by defining clear behavior for successful, missing, ambiguous, and overly broad requests.
  • Optimized lineage-score processing with server-side Gremlin aggregation, preserving exact counts while limiting diagnostic payloads and application-side materialization.

Research Data Software Engineer Assistant

CaltechDATA

September 2024 – June 2026 | Pasadena, CA

  • Built Python automation pipelines to harvest and process 3,000+ research datasets through REST APIs.
  • Implemented metadata analysis workflows to identify and reconcile missing datasets linked to Caltech publications.
  • Supported data infrastructure used by 650+ faculty and researchers, improving research data reliability and preservation.

Machine Learning Research Assistant

Caltech First Year Success Research Institute

August 2024 – September 2025 | Pasadena, CA

  • Engineered U-Net models in Python/PyTorch/C++ for geological fracture detection, improving segmentation accuracy by 20%.
  • Integrated multispectral imagery and optimized preprocessing to improve model robustness across geological conditions.
  • Developed automated labeling pipelines for 10,000+ UAV imagery samples using Python and Linux shell scripts.

Quantitative Trading Researcher

Caltech Quantitative Finance Research Group

July 2025 – Present | Pasadena, CA

  • Built mean-reversion strategies in Python/C using regime-switching models, achieving 15% alpha in backtests.
  • Modeled market microstructure and order book dynamics to quantify cross-exchange arbitrage in simulation.
  • Built a real-time SQL-based risk monitoring framework tracking 50+ portfolio metrics, drawdowns, and exposure.

Medaase LifeCare Healthcare Platform

Founder & Full-Stack Developer

January 2024 – Present

  • Built a full-stack healthcare application with backend services, patient workflows, and secure data handling.
  • Implemented real-time patient tracking and appointment-management features for healthcare operations.
  • Used Node.js, Express, MongoDB, and Linux in the application stack.

Projects

Flagship Systems Project

SentinelMCP

Reliability, safety, security, and observability control plane for AI-agent tool execution.

617-test release gate · 95.64% branch-aware coverage · 23/23 deterministic fault scenarios

Python FastAPI Official MCP SDK PostgreSQL OpenTelemetry Prometheus Grafana JWT / Ed25519
GitHub Case Study

TraceQuery

A citation-backed RAG assistant for querying source-grounded information with retrieval context and traceable answers.

Python FastAPI FAISS React Supabase PostgreSQL
GitHub

Memory Diffusion

Studied conversational-memory retrieval using SBERT embeddings and SDEdit-style latent denoising to evaluate retrieval from corrupted memory banks.

Python SBERT PyTorch SDEdit Machine Learning

Data Analytics Music Database

Engineered scalable database architecture improving search efficiency by 35% across 10,000+ records. Developed complex SQL queries and Perl scripts for data sanitization.

MySQL Pandas JavaScript Python
GitHub

AI Attendance System

Engineered real-time face detection system with 95%+ accuracy using Haar Cascade classifiers. Developed full-stack application with live video streaming and automated attendance logging.

Python OpenCV Flask SQLite
GitHub

High-Performance Fitness Tracker

Developed a cycle-accurate simulator to model processor performance. Implemented cache hierarchy and pipeline staging to analyze and optimize VLSI Design efficiency.

C C++ Computer Architecture VLSI Design
GitHub

Leadership & Campus Involvement

Caltech Admissions Ambassador

Admissions Ambassador

January 2025 – Present

Represent Caltech in conversations with prospective students and families, sharing student experiences and helping visitors understand the academic and campus community.

Caltech Admissions

Social Media Ambassador

January 2025 – Present

Create student-focused content highlighting academics, internships, campus life, and the Caltech experience for prospective students across social media.

Caltech Y RISE

Tutor

2024 - Present

Provide programming and mathematics tutoring to students.

Caltech Black Students Union (BSU)

Active Member

2024 - Present

Participate in campus events, student programming, and community initiatives.

ColorStack

Member

2023 - Present

Engage with a community of Black and Latinx computer science students through career development and technical resources.

Get In Touch

Contact Information

1200 E California Blvd, Pasadena, CA

eadjetey@caltech.edu

(626) 704-8735