Projects

Meal Nutrition Analysis

PyTorchPandasNumPyOpenCVCNNMultimodal

Sep. 2024 - Dec. 2024

  • Preprocessed multimodal meal photos and sensor readings using OpenCV, Pandas, and NumPy to standardize inputs.
  • Built a PyTorch DataLoader and designed multimodal model to extract joint embeddings for calorie prediction.
  • Trained the network with RMSRE loss, performed hyperparameter tuning, and outperformed the Kaggle benchmark.

Local Search Engine

PythonStreamlitFAISSBM25LLMs

Dec. 2024 - Feb. 2025

  • Built a hybrid search engine using dense embeddings FAISS and sparse BM25 retrieval for enhanced accuracy.
  • Implemented LLM-driven Chain-of-Thought reasoning to iteratively refine queries and improve relevance.
  • Developed an async pipeline for PDF/text processing and applied rank fusion with temporal scoring.

Leadership Effectiveness Inventory

RubyRailsAgileGitJavaScriptPostgresSQL

Aug. 2024 - Dec. 2024

  • Built backend services with Ruby on Rails and Git, integrating OAuth2 authentication via Auth0 for secure access.
  • Effectively employed Agile methodology across four sprints to iteratively implement and refine user-requested features.
  • Used Postgres SQL to efficiently fetch and aggregate survey data, powering dynamic dashboards for leadership feedback.

Operating Systems Kernel From Scratch

CC++AssemblyShell

Jan. 2024 - Apr. 2024

  • Designed and implemented an OS in VirtualBox, emulated using bochs, with x86 architecture support.
  • Developed a 2-level paging system and exception 14 page fault handler to manage memory and address translation.
  • Built thread functionalities with Round Robin (RR) scheduling, including I/O device drivers for sequential access.

Portfolio Management

RPythonNLPIBrokersTransformersBERT

Jan. 2024 - Apr. 2024

  • Designed trading strategy with statistical models using R and sentiment analysis, achieving 76% backtesting accuracy.
  • Scraped insider news data and integrated RSI plus sentiment features into linear model, resulting in a 0.9 Sharpe Ratio.
  • Surpassed benchmark algorithms by leveraging sentiment analysis and technical indicators for stock market predictions.

Task Tracker Web Suite

AngularJavaSpring BootREST APIBootstrap

Nov. 2023 - Dec. 2023

  • Developed a task tracker with Angular frontend and Java Spring Boot backend, supporting CRUD operations.
  • Implemented JWT-based auth and form validation using Angular reactive forms and route guards.
  • Built REST endpoints in Java to handle task logic, using Spring MVC, JPA, and H2 in-memory database for quick testing.

BMI Calculator

FlutterDartMaterial Design

Apr. 2023 - May. 2023

  • Built a mobile BMI calculator using Flutter, with interactive sliders, real-time BMI computation, and animated output.
  • Created a responsive UI using stateful widgets, layout composition, and custom Material theming.
  • Tested and deployed the app to both iOS (via Xcode) and Android devices using Flutter's cross-platform capabilities.

RL-Based Dynamic Thermal Management

PythonArduinoLinuxPPO

Jan. 2023 - Apr. 2023

  • Developed an RL-based Intelligent Scheduler to optimize CPU frequencies and improve thermal management.
  • Implemented Proximal Policy Optimization, achieving a 6°C reduction in Arduino chip temperature.
  • Ensured Quality of Service by maintaining deadlines while reducing thermal output in embedded platforms.

Secure Blog Platform

ReactNode.jsExpressMongoDBRESTJWT

Nov. 2022 - Dec. 2022

  • Developed a secure blogging platform with a React frontend and Node.js REST API, supporting dynamic content.
  • Implemented JWT-based auth with protected routes for secure user registration, login, and access control.
  • Designed and integrated MongoDB to manage blog data efficiently with schema modeling and indexed queries.