I'm a Software Developer & Researcher passionate about building intelligent systems at the intersection of AI, distributed systems, and full-stack development.

Currently pursuing my M.S. in Computer Science at UC Davis, I work at the Exploratory Systems Lab (ExpoLab) as a Graduate Software Engineer — developing next-generation infrastructure and developer tools around ResilientDB, a blockchain-backed distributed database.

• 🧠 AI-Powered Tools: Building ResAI, a suite of intelligent developer tools integrating LLMs with distributed systems.
• 🌍 Full-Stack Engineering: Developing scalable web apps and dashboards using React, Node.js, Vite, and Tailwind CSS.
• ⚙️ Systems & Infrastructure: Profiling and optimizing distributed systems through projects like ResLens.
• 📊 Applied ML & NLP: Applying BERT, Transformers, and data pipelines for sentiment analysis, entity extraction, and large-scale information retrieval.

• 🏗️ PPMC Member — ResilientDB (Apache Incubating)
  Contributing to open-source development of a blockchain-backed distributed database.
  Lead initiatives integrating AI-assisted tooling, smart contract frameworks, and observability systems.
• 💬 Mentor new contributors in system design, CI/CD workflows, and code quality best practices.

Languages:

Frameworks & Libraries:

Databases & Cloud:

Core Areas:
Full-Stack Development · Distributed Systems · Large-Scale System Design · AI/ML Pipelines · NLP · Information Retrieval · Data Visualization

Real-time CPU & memory profiling tool for ResilientDB

• Built a visual observability platform for distributed systems, aggregating runtime metrics (CPU, memory, storage, transaction throughput) across cluster nodes.
• Designed high-throughput dashboards with React and Tailwind, visualizing 10K+ time-series datapoints per session with a 30% improvement in rendering performance.

AI-powered smart contract generation and deployment tool

• Built an AI-powered code generation platform integrating the DeepSeek API across 2 structured generation pipelines with few-shot prompting, automated response parsing, and real-time previews.
• Engineered a static analysis validation engine performing security, gas optimization, and compatibility checks, with automated generation of test cases, deployment scripts, and JSON configs.

Full-stack SaaS platform for delivery optimization

• Built a VRPTW-based route optimization engine using Google OR-Tools + Maps Distance Matrix API, enabling time-window and capacity-constrained routing, reducing manual dispatch effort by ~50%.
• Deployed a React + Node.js SaaS platform serving 50+ retail stores, processing 1,000+ daily deliveries with multi-location operations, analytics dashboards, and trip sheet automation.

• 🧩 Graduate Software Engineer, UC Davis — ExpoLab (2025–Present) – Building distributed systems infrastructure, AI-powered developer tools (ResAI), and CI/CD pipelines deployed on AWS EC2.
• 💼 Software Engineer Intern, QuickFlora (Summer 2025) – Led development of a production-grade SaaS delivery platform processing 1,000+ daily deliveries across 50+ retail stores.
• 🔬 Data Scientist Intern, Tatras Data (2023) – Engineered a BERT-based NLP pipeline for large-scale sentiment analysis and information retrieval across 100K+ social posts; reports reached 500K+ readers.

• 🔨 Implementing native token support in ResilientDB — protocol-level fee accounting & balance validation across distributed nodes
• 📖 Finishing my MS at UC Davis (June 2026)
• 🎯 Open to full-time SWE roles/ Internships starting Summer 2026