GameHub
Built with AIA collection of 10 browser games built entirely with AI pair programming. Covers game loops, collision detection, AI opponents, and interactive development.
Stack: HTML5 Canvas, Vanilla JavaScript
About
Systems-focused engineer who turns complex workflows into reliable platforms.
For over eight years, I've been designing event-driven systems, data integration pipelines, and cloud infrastructure across companies like GoFundMe, Genentech, and SymphonyAI. My work centers on platform reliability, automation, and scalable data foundations that power AI/LLM workflows while improving developer velocity.
I'm particularly interested in how AI can amplify human creativity rather than replace it. When I'm not deep in code, I'm experimenting with AI pair programming tools, writing about my learnings, and building projects that explore the intersection of traditional backend engineering and modern AI capabilities.
Impact highlights
Stories from the trenches of building at scale.
The Salesforce sync challenge
At GoFundMe, we needed to sync millions of donor records in real-time without breaking the bank. Built event-driven integrations that cut costs by fifteen percent while improving data access speed by thirty-five percent.
From hours to minutes
A legacy ETL pipeline at SymphonyAI was taking over four hours to process data. Redesigned the workflow to complete in under ten minutes, freeing up resources and enabling faster decision-making.
Daily deployments, not weekly
Moved our team from weekly to daily deployments by streamlining Bitbucket and AWS CodePipeline workflows. Less friction means more shipping.
Enterprise data migration
Built a large-scale migration framework at Genentech moving data from Salesforce to enterprise systems. Improved data integrity by thirty-five percent along the way.
Search that actually works
Tuned Elasticsearch analyzers at SymphonyAI to improve query performance by eighty percent and reduce response time by twenty-five percent. Users notice when search gets faster.
GraphQL that scales
Optimized Kotlin GraphQL services at GoFundMe, raising query performance while making life easier for frontend developers.
Faster batch processing
Boosted Spring Batch throughput by thirty percent at Genentech, cutting runtime from ten to seven hours per run. Small improvements compound.
Real-time data that actually works
Improved real-time data accessibility by thirty-five percent with event-driven Salesforce integrations. Event-driven done right means systems talk to each other without breaking.
Experience
Building systems that scale and teams that ship.
Leadership and scope
- Own end-to-end platform initiatives spanning backend services, infrastructure, and data pipelines.
- Partner across product, data, and operations to align technical delivery with business goals.
- Recognized with SPOT Award for system-level impact.
- Mentor engineers on search, data integration, and deployment best practices.
Software Engineer III, GoFundMe
- Architected event-driven Salesforce integrations in NestJS and own Kotlin GraphQL APIs.
- Standardized infrastructure with Terraform and Helm, improving release consistency.
- Recognized with a SPOT Award for system-level impact.
Senior Java Developer, Genentech
- Built a large-scale migration framework integrating Salesforce with enterprise systems.
- Optimized Spring Batch workflows, cutting execution time from ten to seven hours per run.
Student Programmer, Rutgers University
- Developed the Metra traffic analytics app for automated signal violation detection.
Software Developer, SymphonyAI
- Redesigned ETL workflows and built Elasticsearch search experiences with eighty percent faster queries.
- Migrated ten thousand plus user records to Auth0 through a custom Talend pipeline.
Projects
Live data pulled from GitHub. Filter by language or search.
Featured projects
Highlights pulled from GitHub.
Other projects
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Play Games
14 browser games built with AI pair programming — play directly in your browser!
AI-Assisted Development
Projects built with AI pair programming using Claude Code, Qwen, and LangChain.
I've been experimenting with AI pair programming to explore how AI can amplify human creativity. These projects aren't just about what's possible with AI—they're about how AI changes the way we think about building software. I write about my learnings, the patterns that work, and the challenges that still require human judgment.
Mortgage Atlas
Built with AIComprehensive mortgage cost calculator modeling true homeownership expenses. Includes amortization schedules, financial formulas, and data visualization.
Stack: TypeScript, Chart.js
AI Tutor
Built with AIDocument-to-quiz generator that converts PDFs and textbooks into chapter-level quizzes. Features NLP, question generation, and adaptive learning.
Stack: Python, PDF parsing
Stock Analysis
Built with AIComprehensive stock tracking with technical indicators (RSI, MACD, Bollinger Bands), portfolio management, and performance visualization.
Stack: Python, Pandas, Matplotlib
Case studies
Deep dives into how I approach systems, data, and AI workflows.
DevSpace Microservices
Problem: Teams needed consistent local-to-cluster workflows without drift.
Approach: Built DevSpace + Helm templates with repeatable environment rules.
Impact: Faster onboarding and fewer deployment mismatches.
Stack: TypeScript, Kubernetes, Helm, DevSpace.
Slackbot Bedrock
Problem: Slack workflows needed safe, observable access to LLM responses.
Approach: Added routing, response formatting, and logging around Bedrock calls.
Impact: Reliable AI responses with traceability for iteration.
Stack: TypeScript, AWS Bedrock, Slack API.
PubMed Analysis
Problem: Analyze massive citation graphs for research insights at scale.
Approach: Built preprocessing pipelines and network analysis workflows.
Impact: Enabled exploration of 31M+ citations and 210M+ edges.
Stack: Python, Jupyter, graph analytics.
Skills
Things I enjoy working with.
Languages
- Kotlin
- TypeScript
- JavaScript
- Python
- Java
- SQL
- C/C++
- Shell
Frameworks
- Spring Boot
- NestJS
- Node.js
- FastAPI
- React.js
- Redux
- jOOQ
- Talend
- LangChain
Cloud and DevOps
- AWS
- Terraform
- Kubernetes
- Helm
- Docker
- Jenkins
- Bitbucket CI/CD
Data and ML
- MySQL
- PostgreSQL
- Oracle
- Elasticsearch
- Redis
- Greenplum
- MLflow
- Great Expectations
- Tableau
- Power BI
Architecture
- Event-driven systems
- Microservices
- GraphQL APIs
- ETL pipelines
- RAG
- LLM integrations
- REST services
Tools
- Git
- JIRA
- DevSpace
- Postman
- Linux/Unix
- Confluence
Education
Continuous learning in tech and beyond.
Harrisburg University of Science and Engineering
Master of Science, Project Management (Nov 2025 - Present)
Rutgers, The State University of New Jersey - New Brunswick
Master of Science, Computer Science (Jan 2021 - Dec 2022)
Award: Academic Excellence (CGPA: 4)
Let's build something resilient.
Open to backend, platform, and data infrastructure roles.
I'm always excited to connect with folks building interesting things. Whether it's a challenging engineering problem, swapping war stories about production incidents, or discussing AI-assisted development, I'm here for it.