Backend & Distributed
Systems Engineer
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01 / About
Building systems that scale.
I'm a Computer Science student at Rutgers University, with a minor in Economics. I'm focused on backend systems, cloud infrastructure, and applied AI.
One of the things I'm most proud of is my work as a Founding Engineer at Lotari, where I built a production auth system from the ground up, shipped real features on a live B2B product, and care deeply about clean abstractions, minimal dependencies, and systems built for performance and horizontal scale.
Outside of engineering, I enjoy reading about history, hiking, following markets and investing, playing basketball, and casual multiplayer games with friends.
Languages
Backend
Cloud / Infra
AI Systems
Databases
Frameworks
02 / Experience
Where I've built.
Founding Engineer
- ›Built a license-based authentication and authorization system using JWT, TypeScript, Express.js, and FastAPI, reducing account provisioning time by 90% and improving firm-level onboarding for B2B SaaS customers.
- ›Implemented stateless authorization middleware in Express.js with custom license validation logic, eliminating third-party auth dependencies and enabling horizontal scalability.
- ›Migrated backend to AWS serverless architecture via Lambda, API Gateway, and DynamoDB using CDK with Bedrock-assisted code conversion, enabling scalable production deployment and reducing infrastructure complexity.
Teaching Assistant
- ›Teaching 50+ students Java, object-oriented programming, and data structures & algorithms fundamentals in a structured classroom setting.
- ›Preparing students for the AP Computer Science A "Option 2" exam, reinforcing core concepts through hands-on exercises and targeted review sessions.
- ›Designing curriculum materials and practice problems that bridge foundational theory with practical programming skills.
AI Fellow
- ›Design and execute real-world, image-based prompt evaluations for multimodal AI systems, systematically identifying model accuracy gaps and usability issues.
- ›Operate within a structured evaluation pipeline under strict quality, time, and confidentiality constraints, delivering production-ready outputs aligned with evolving model standards.
- ›Contribute to large-scale, high-quality image dataset development to enhance computer vision model performance and support responsible AI deployment.
Laboratory Technician
- ›Prepared sample batches for chemical analysis through preservation, spiking, reagent addition, digestion, and filtration following strict protocol.
- ›Documented laboratory processes and results using Microsoft Excel scripts alongside specialized LIMS (Laboratory Information Management Systems) and Clinisys software.
Education
Rutgers University, New Brunswick
Bachelor's in Computer Science · Minor in Economics · May 2027
03 / Projects
Things I've built.
Infrastructure-first projects emphasizing performance, scalability, and clean abstractions.
Policy Checker
Municipal budget analysis platform that automates data collection from 3+ government portals, models fiscal policy impacts across 10+ spending categories, and generates structured analytical reports with multi-chart visualization pipelines.
challenge
Handling inconsistent government data formats and building a multi-category fiscal modeling engine that auto-balances policy proposals.
AI-powered skin condition analysis app built at the MTC Hackathon. Users upload a photo to receive instant analysis across 8 condition classes, with confidence scores, severity ratings, personalized advice, and a DeepSeek-powered diagnosis chat interface.
challenge
Significant class imbalance in the SCIN dataset required careful augmentation and stratified splits. Calibrating the AI chat to be medically responsible without being overly restrictive was a real balancing act.
This Portfolio
The project you're viewing right now! A dark-mode developer portfolio built with Next.js 16 App Router, Framer Motion animations, Tailwind CSS v4, and deployed on Vercel.
04 / Contact
Let's build scalable systems.
Whether you're building backend infrastructure, exploring AI systems, or looking for a collaborative engineer, I'd love to talk.