Eugene Lotsu

Software Engineer & AI/ML Researcher

GitHub

Phone

I'm a Computer Science student at William Jewell College focused on building rigorous AI systems and production software. My current research studies neural approaches to partial differential equations, while my engineering work spans agentic AI, marketplace infrastructure, payments, geospatial search, and reproducible experimentation.

If you're curious what I look like behind the work, view my gallery

Experience & Research

Wallot ResearchAug 2026 to Present

Undergraduate Research Fellow

Investigating neural-network approaches for solving partial differential equations, including PINNs, Fourier Neural Operators, DeepONet, and variational PINNs.
Building a Python scientific-computing framework with NumPy and SciPy to benchmark learned solutions against numerical methods and evaluate error, convergence, and model behavior.
Conducted and annotated a literature review of 10 research papers while developing a reproducible workflow with Jupyter, R/Quarto, and Git toward a formal paper.

VECINTIPresent

Software Engineer

Architected and shipped a production local-services marketplace in Next.js, TypeScript, and PostgreSQL with a timezone-aware booking engine spanning six service types, concurrent cart holds, resource allocation, and PostGIS search.
Built an Amazon Bedrock agent with 35 tools, scoped permissions, and human approval for state-changing operations, integrated with calendar, email/SMS, 13 cron jobs, and 13 signed webhooks.
Implemented Stripe Connect payments, provider payouts, subscriptions, identity verification, refunds, disputes, and processing for 21+ webhook events.

National Student Research InstitutionSummer 2026

AI/ML Researcher, Summer Research Hackathon

Investigated how real-world image transformations affect CLIP-based AI-generated image detectors; the work was recognized among the Top 100 submissions.
Designed a PyTorch and scikit-learn pipeline that ran 120,000+ image evaluations across 10 transformations and five severity levels.
Measured degradation across AUROC, F1, precision, recall, and accuracy under compression, resizing, cropping, blur, noise, and screenshot-style transformations.

Excelerate × Saint Louis UniversityAug 2025 to Sep 2025

Data Analyst Associate Intern & Project Lead

Cleaned and analyzed six datasets with Python, Pandas, and SQL to identify patterns in engagement and opportunity distribution.
Developed an interactive Looker Studio and Python dashboard surfacing four KPI trends and translated the findings into stakeholder recommendations.
Led a cross-functional team through weekly analytical deliverables, coordinating analysis, interpretation, and presentation.

Education & Recognition

William Jewell CollegeB.S. in Computer Science
Expected graduation: December 2027

Relevant coursework
Data Structures and Algorithms
Differential Equations, Discrete Mathematics, Calculus I and II
Probability and Statistics
Computer Networks
Database Systems (SQL and NoSQL)

Awards & InvolvementWallot Research Undergraduate Research Fellow, 2026
Top 100, NSRI Summer Research Hackathon, 2026
Semifinalist and Top 1,000, AWS 10,000 AIdeas Competition
Dean's List for four consecutive semesters
Selected participant, HackMIT 2026

Technical Skills

Programming & SystemsProduction software, data pipelines, APIs, relational data, and modern web systems.

Python

TypeScript

JavaScript

SQL

Machine Learning & Scientific ComputingModel evaluation, numerical experiments, statistical analysis, and neural methods.

PyTorch

scikit-learn

NumPy

SciPy

Pandas

OpenAI CLIP

ResearchExperimental design, reproducible research, literature review, data visualization, and quantitative model evaluation.

Jupyter

R Markdown / Quarto

LaTeX

Git / GitHub

Platforms & InfrastructureCloud services, containers, payments, and production deployment workflows.

AWS

Docker

Next.js

PostgreSQL