About Me

I am a undergraduate student at Stevens Institute of Technology, pursuing a Bachelor of Science in Computer Science concentrating in AI and Machine Learning. I have experience developing large scale solutions within machine learning, and software development at an enterpise scale.

Incoming SWE at Walmart Global Tech
Interests: AI Infrastructure, Distributed Systems, Health and Fitness via ML

Education

Stevens Institute of Technology Logo
Bachelor of Science in Computer Science
Expected December 2026

Stevens Institute of Technology

Hoboken, NJ

  • Awards: Edwin A. Stevens Scholarship, Dean's List
  • Relevant Coursework: Data Structures, Algorithms, Discrete Structures, Computer Architecture and Organization

Work Experience

Company Logo
Software Engineer Intern
June 2026 - August 2026

Walmart Global Tech

Sunnyvale, CA

  • Incoming Software Engineer for summer 2026
Verizon Logo
Software Engineer Intern
June 2025 - August 2025

Verizon

Basking Ridge, NJ

  • Developed a GraphRAG pipeline to enhance LLM query performance on Verizon’s network database, achieving a 70-80% reduction in query time.
  • Integrated Model Context Protocol (MCP) into an AI-agent framework, enabling standardized, secure access for agents to diverse data sources and tools.
  • Built an AI-agent framework on a structured knowledge graph with Python and Llama3 to help network engineers diagnose topology intermittencies and speed up network decommissioning projects.
Stevens Institute of Technology Logo

Stevens Institute of Technology

Hoboken, NJ

Undergraduate Researcher
September 2025 - Present
  • Research within Stevens's Health and AI Lab, under the direction of Professor Kleinberg, focusing on Plato, an interactive, multimodal chatbot designed for real-world meal logging and nutritional analysis.
  • Developed a local Vision Language Model (VLM) pipeline with Qwen2.5-VL and Llama3.2, to enable zero-shot ingredient deconstruction of complex, multi-layered food items, which improved Plato's F1-score.
  • Architected a bidirectional multimodal mapping system using open weight models to deconstruct complex meal images into atomic ingredients and re-associate ingredient clusters with canonical parent entities.
Course Assistant - Operating Systems (C)
January 2026 - Present
  • Support Professor Ryan Tsang's Operating Systems course, CS492.
  • Hold weekly office hours to assist students with course material and complete grading.

Project Experience

Recipe Hub

Flask, Python, Cooklang

  • Architected a self-hosted recipe management system using Flask, implementing a custom parser for the Cooklang markup language to automate ingredient and cookware extraction.
  • Integrated Gemini-Flash to automatically convert unstructured third-party web content into the standardized Cooklang format for recipe imports.
  • Containerized the application using Docker and Docker Compose, streamlining deployment for private home-server environments and Raspberry Pi hardware.
Repository

Load Balancer

Go

  • Developed a concurrent Layer 7 load balancer in Go, utilizing Goroutines and Channels to manage asynchronous traffic distribution across backend server clusters.
  • Implemented a pluggable scheduling interface supporting multiple load-balancing strategies, including Round Robin and Least Connections, to optimize traffic distribution across server clusters.
Repository

Binning Heap Allocator

C

  • Built a high-performance C-based memory allocator utilizing segregated free lists (binning) to provide O(1) best-case allocation for 8 distinct size classes (32B to 4KB).
  • Implemented immediate coalescing via boundary tags and address arithmetic, enabling O(1) merging of adjacent free chunks and significantly reducing external fragmentation.
  • Architected a ”Best-Fit” allocation strategy with chunk-splitting logic to maximize heap utilization and minimize wasted space during small-block requests.
Repository

Custom CPU Development

Logisim-Evolution, Python

  • Designed and implemented a custom CPU architecture using Logism-Evolution, incorporating key components such as an instruction memory, control unit, register file, ALU, data memory, and program counter
  • Created an assembler program in Python, capable of translating assembly code specific to the CPU design into machine code
  • Developed and implemented a custom instruction set architecture, defining binary encodings for instruction operations, registers, and immediate values, to align with the CPU's hardware design
Repository

Personal Interests

Cooking, Surfing, Endurance Sports, Jazz Music