A mini timeline of some of my projects and jobs over the past few years.
Built 5+ AI applications using NextJS, OpenAI, Pinecone, and Stripe, achieving 98% accuracy and serving 1,000+ users.
Led a team of 4 engineering fellows in project development, applying MVC design patterns to ensure robust and scalable software solutions from design to deployment, ensuring maintainability and scalability.
Coached by Amazon, Bloomberg, and Capital One engineers, gaining expertise in Agile, CI/CD, Git, and microservice patterns.
Configured and set up over 50 new PCs, including installing essential applications and integrating them into the domain, which streamlined user access and improved system management efficiency.
Resolved hardware and software issues, addressing problems such as unresponsive peripherals, software installations, and domain connectivity, leading to a 30% increase in system reliability and user satisfaction.
Provided technical assistance to over 100 faculty, staff, and students regarding hardware, software, and network issues, ensuring prompt resolution of IT-related problems and minimizing downtime. Communicated technical information concisely.
Officiated sporting events, ensuring adherence to game rules and regulations, maintaining fair play, and providing clear and decisive judgments in high-pressure situations. Managed game flow and resolved conflicts between players and coaches, demonstrating strong problem-solving skills and effective communication to uphold the integrity of the game.
Nominated as Crew Member of the Month for August, recognized for exceptional work ethic and leadership, contributing to a 15% increase in operational efficiency and setting a high standard for team performance and productivity.
Promoted to manage a specific aisle by overseeing product levels, conducting regular inventory counts, and coordinating shipments and restocking efforts, ensuring optimal inventory levels and a 40% reduction in stockouts.
Adapted to a fast-paced work environment, effectively handling multiple tasks simultaneously and prioritizing responsibilities, which improved checkout speed and reduced customer wait times. Processed checkout transactions with a 100% accuracy.
Demonstrated strong customer service skills by greeting and serving customers in a friendly manner
Led a team of crew members in executing daily tasks, including food preparation, front counter operations, customer service, and maintaining cleanliness, contributing to a positive team environment and high customer satisfaction.
Demonstrated versatility and adaptability by handling multiple tasks and responsibilities, such as taking orders and preparing food. Proactively solved customer complaints and issues to ensure customer satisfaction and loyalty
Developed and maintained user-friendly websites and applications using HTML, CSS, JavaScript, and React, ensuring responsive design and optimal user experience. Collaborated with team members to troubleshoot and resolve coding issues, employing problem-solving techniques and debugging practices to ensure project success.
Led weekly presentations to showcase project progress and achievements, effectively communicating technical concepts and updates to team members and managers. Participated in group discussions and code reviews, contributing to collective problem-solving and the refinement of coding practices and standards.
A comprehensive overview of my work, education, and technical skills.
Used: CSS, HTML, and Javascript
CardQuest is an interactive web-based tool that helps users efficiently retain knowledge using customizable flashcards. Users can create, save, and review flashcards while tracking their progress with comprehensive statistics and performance feedback.
Used: JavaScript, React, Next.js, Firebase, Clerk, Stripe, Open AI, Material-UI, Node.js
A web application with two core features: the Pantry Tracker for managing and sorting your inventory, and the Recipe Generator for creating recipes based on available ingredients. It streamlines pantry management and recipe creation, making meal planning easier and more efficient.
Used: React, Next.js, Javascript, Material-UI, Node.js, Firebase, and the Google Gemini API
A support assistant built to enhance the "Rate My Professor" platform using advanced AI and database technologies. This assistant helps students find the most suitable professors based on their queries by retrieving and analyzing relevant data.
Used: JavaScript, React, Next.js, Open AI, Jupyter Notebook, Pinecone
This script analyzes TCP flow data by parsing packets to identify sender and receiver roles, calculate throughput, and determine congestion window sizes and retransmission events. It helps in understanding network performance and diagnosing issues such as packet loss and throughput variations.
Used: Python and Wireshark
An AI-powered customer support assistant for Robinhood, a financial services platform that allows users to invest in stocks, options, ETFs, and cryptocurrencies. The assistant provides users with professional, accurate, and secure assistance with various inquiries, including account management, trading, technical support, and general platform information.
Used: React, Next.js, Open AI
Developed a TwitterBot using Python and the Twitter API to automate posting updates, retweeting, and interacting with users, ensuring reliable operation through robust error handling and recovery procedures.
Used: Python and the Twitter API
Constructed a database to track and manage data for the professional eSports scene for the games League of Legends and Valorant. Created detailed tables and relationships to store information on players, teams, leagues, and specific game statistics, ensuring accurate and efficient data retrieval.
Used: SQL and MS Access
This script handles ICMP packet analysis to compute round trip times (RTTs). It extracts the ICMP header and timestamp from packets, calculates RTT in milliseconds, and tracks the minimum, maximum, and average RTT values. It uses struct.unpack to parse packet data and struct.pack to format it, ensuring accurate RTT measurements and statistics.
Used: Python