Hey! I'm
Tilon Bobb
Software Engineer & Data Scientist
Building innovative solutions with expertise in software engineering, data science, and machine learning.
About Me
I'm a Software Engineer & Data Scientist with a BSc in Computer Science from Brooklyn College and currently pursuing an MS in Data Science at CUNY School of Professional Studies with a 3.9 GPA. I am passionate about leveraging data and technology to solve real-world problems, with expertise in software engineering and machine learning.
Throughout my career, I've developed scalable applications, implemented machine learning models, and created data-driven solutions. I thrive in collaborative environments and enjoy tackling complex challenges.
When I'm not coding, you can find me playing basketball, enjoying video games, or exploring anime and manga series across different genres.
Enthusiastic Problem Solver
"Tilon took challenges head on. He asked questions, dug in, surfaced the things he didn't understand, and often figured it out himself."
- Joel Oliveira, Engineering Manager at ezCater
Insightful Collaborator
"Tilon possesses a keen interest in software engineering and problem-solving, coupled with a notable talent for vocalizing insightful perspectives within the team."
- Kim Flores, Software Engineer at ezCater
Work Experience
Scale AI
LLM QA Engineer (Contractor)
July 2024 - Present
- Facilitated integration of custom ML pipelines, conducting peer code reviews on 100+ submissions improving system efficiency by 25%
- Evaluated generated responses using a low-to-high field scoring system, enhancing model accuracy by ranking based on key attributes
Co-Founder & Lead Developer, BIBLIT AI Bible Study Assistant
Church Of God Initiative
November 2024 - February 2025
- Designed and built scalable cloud architecture using Next.js, Firebase, and Pinecone, preparing for 10K+ concurrent users post-launch
- Implemented distributed vector search system with 26K+ Q&A pairs, optimizing response time to <200ms
- Led system design reviews with team, making technology decisions for authentication (Clerk) and payment systems (Stripe)
- Collaborated with leadership to align product features with security and compliance needs, ensuring scalable, high-availability infrastructure
ezCater
Software Engineer Intern
June 2023 - November 2023
- Implemented and deployed a new feature with UI modifications using feature flags, enabling A/B testing in production, leading to a 7.66% increase in bookings per user and 8.25% increase in revenue per user, contributing to an estimated $1.7 million boost in annual bookings
- Executed Contentful Content Management System (CMS) with Ruby on Rails, automating deployment processes and streamlining content management, reducing time to deploy changes
- Revamped the "Caterers Near Me" page using Ruby on Rails, resulting in a 6% increase in paid search conversions, a 3% rise in average order value, and a +12.55% lift in conversion rates from paid search, driving significant business impact
Outlier
AI Training Expert (Freelance)
February 2024 - July 2024
- Improved code generation quality by training and evaluating large language models (including GPT-4.0), achieving higher accuracy and faster processing times
- Constructed over 120 optimized code solutions with clear explanations, addressing complex coding challenges and contributing to the improvement of AI model capabilities
Featured Projects
Medicare Fraud Detection
Python, R, Machine Learning, SQL
Developed a multi-dataset AI-driven system for detecting Medicare fraud using XGBoost, Random Forest, and Anomaly Detection. Addressed extreme class imbalance (fraud cases < 0.03%) and built an interactive R Shiny dashboard.
BIBLIT - Bible Study AI Assistant
Next.js, Firebase, OpenAI, Pinecone, Jira, Clerk, Stripe
Engineered a RAG-based Bible study application serving 40+ waitlisted users, using OpenAI's GPT-4 for intelligent theological responses. Implemented vector similarity search with Pinecone for 26K+ Q&A pairs.
NVIDIA GitHub AI Assistant
NVIDIA NIMs, LlamaIndex, Pinecone
Built an open-source assistant that helps developers understand GitHub repositories by providing intelligent responses to queries about contribution guidelines, setup, and documentation using NVIDIA NIMs and LlamaIndex.
Medical Documentation Assistant
Azure AI Agent Service, Semantic Kernel
Built HIPAA-compliant multi-agent system that reduced clinical documentation time by 35% while maintaining 88% accuracy compared to manual transcription. Architected end-to-end solution with real-time audio transcription.
Drug Response Classification
Python, Decision Trees, Random Forest
Engineered a machine learning pipeline achieving 97.37% accuracy for predicting patient drug responses based on clinical data. Optimized tree-based algorithms and feature selection.
Redis Server
C, Networking, TCP Sockets, Concurrency
Built a simplified Redis server from scratch, focusing on core features like memory management and byte stream handling. Configured TCP socket communication and gained hands-on experience with concurrency.
Technical Skills
Programming Languages
Frameworks & Libraries
Database Technologies
Tools & Platforms
Data Science & ML
AI & Cloud Services
Education
CUNY School of Professional Studies
Master of Science in Data Science
August 2023 - December 2024
New York, NY
GPA: 3.9/4.0
CUNY Brooklyn College
Bachelor of Science in Computer Science
August 2019 - May 2023
New York, NY
Relevant Coursework
Certifications & Achievements
NVIDIA Developer Contest 2024
Built a GitHub Open Source Assistant using NVIDIA NIMs and LlamaIndex
Hack.Diversity Fellowship
Selected among the final 15 out of 300 candidates for the fellowship
Featured Speaker, Hack.Diversity Event (2024)
Addressed CEOs, tech founders, and executives on diversity in tech
Get In Touch
I'm currently open to new opportunities and collaborations. Feel free to reach out if you want to connect!
Location
New York, NY