Here’s a glimpse of who I am and what I build.

• 🔍 Enjoy being behind the software that drives innovation.
• 🧠 Experienced problem solver with a focus on practical solutions.
• 💻 Experienced with Java frameworks like Spring, Hibernate, and Spring Boot.
• ⚛️ Experienced with JavaScript frameworks such as ReactJS and Node.js.
• ☁️ Experienced with AWS services, enabling scalable and reliable cloud applications.
• 🏗️ Experienced in designing and developing end-to-end solutions with a strong emphasis on efficiency.
• ❤️ Have a special love for the simplicity and power of C and C++.
• 🤖 Intrigued by the potential of Artificial Intelligence and its ability to solve real-world problems creatively.
• 💡 Currently drawn towards the fascinating world of Distributed Systems—my newest technical crush.

• 15-640 Distributed Systems at Carnegie Mellon University
  Exploring distributed systems concepts through practical applications and benchmarks.

• Outlook Search Enhancer
  Enhances productivity with smarter search capabilities in Outlook.
• [CodeMaster: A LeetCode-Type Coding Platform (In Progress)]
  A platform designed for remote code execution, coding challenges, and real-time feedback to empower aspiring developers.

• WebSocket Benchmark
  Comparing performance between Node.js (interpreted) and Go (compiled) for WebSocket communication.
• Shortest Path Algorithm Analysis
  Evaluating the time and memory efficiency of Dijkstra and Floyd-Warshall algorithms.

• Idea: Revolutionizing ATM transactions with Facial Recognition for seamless authorization and operation.
• Solution: Built an innovative ATM system that identifies users through facial biometrics, eliminating the need for traditional methods like PINs or cards.
• Tech Stack: ReactJS (Frontend), Python FastAPI (Backend), Amazon RDS PostgreSQL (Database), Siamese Neural Network (Facial Recognition Model).
  • Frontend
  • API Server
  • Database Server
  • Model Server

• Idea: Patient Initial Assessment Report (PIAR)—a tool to assist EMT personnel in real-time using AI.
• Solution:
  1. Step 1: Convert emergency medical technicians’ audio input into text using OpenAI Whisper (implemented in C++).
  2. Step 2: Combine audio transcriptions with images captured from body cams, feeding them into an LLM (Large Language Model) to auto-generate structured EMT reports in standard PDF format.
• Tech Stack: ReactJS (Frontend), Python FastAPI (Backend), OpenAI APIs (Whisper and GPT).
  • Frontend
  • Backend

• Idea: A Generative Free Food Search Platform that connects individuals, event organizers, and food businesses with surplus food seekers.
• Solution:
  • Users can pin available food (including leftovers) on a map with details like estimated quantity and type.
  • Food seekers receive real-time notifications based on proximity and preferences, minimizing food waste and helping those in need.
• Tech Stack: ReactJS (Frontend), Google Maps API, Firebase, Python FastAPI, Chroma Database.
  • Frontend & Backend

... and more

• GFIAL
  A unified platform for employers, job seekers, researchers, and educational institutions.

• Kafka C/C++
• CockroachDB
• Cassandra

💡 My versatile tech arsenal allows me to view problems from multiple perspectives and deliver quick, innovative solutions.