My Journey
My professional and educational journey through the years
Scaled a voice-first brain health iOS app for women in perimenopause to 7,000+ App Store users with 99.9% backend uptime and 98% crash-free sessions. Architected its SwiftUI foundation with Swift Concurrency, SwiftData, offline-first sync, HealthKit trends in Swift Charts, and AVAudioEngine with SpeechAnalyzer voice capture. Built a resilient PgVector RAG path with automatic failover across GPT-5.5, Gemini 3.1 Flash, and on-device Foundation Models, cutting p95 latency from 1.8 seconds to 280 milliseconds and per-user LLM spend by roughly 50%. Provisioned HIPAA-compliant AWS infrastructure with Terraform and used Sentry, MetricKit, and Mixpanel telemetry to improve launch time, memory use, and battery life.
Contributed to NYX, a gamified platform for unreleased music A/B testing and pre-release campaigns, inspired by 'The Voice' show's blind auditions concept. Implemented high-performance audio streaming playback using AVFoundation and custom caching mechanisms. Integrated dual payment systems: Apple Pay for traditional transactions and Web3 payments using Coinbase API and MetaMask SDK for blockchain transactions. Developed a seamless user experience for music discovery and artist perks redemption (Spotify pre-saves, merchandise, show tickets) while maintaining user anonymity during blind testing phases.
Led OAuth migration from SAP Gigya to Firebase Auth for the iOS/iPadOS app and web backend, enhancing Identity and Access Management (IAM) security for 50,000+ users without necessitating password resets. Synchronized data across 3 platforms in real-time, utilizing multi-threading, RabbitMQ, and Redis for caching, to ensure seamless integration and data consistency. Developed an innovative admin system using JSON Web Tokens (JWT) to simulate user sessions, significantly improving debugging capabilities while maintaining single sign-on (SSO) and two-factor authentication standards.
Contributed to Project SHELDUS in coordination with the Department of Defense, maintaining and categorizing natural disaster data from 1960 to present. Developed REST APIs using Flask and Python, implementing efficient queries for data retrieval and analysis. Collaborated with researchers to enhance data visualization and reporting capabilities.
Served as a Graduate Teaching Assistant to Prof. Maria Chavez and Prof. Mohd. Taher, instructing over 150 students in the Fulton School of Engineering. Taught programming fundamentals using MATLAB and Python to 100+ undergraduate and graduate students, and guided them through hands-on projects with Raspberry Pi as part of FSE-100: Introduction to Engineering.
Major: Computer Science. Minor: Cybersecurity. Relevant Coursework: CSE-539 Applied Cryptography, CSE-511 Data Processing at Scale, CSE-575 Statistical Machine Learning, CSE-576 Natural Language Processing, and CSE-545 Software Security. GPA: 3.89/4.00
Led backend development of FDAlytics and iQuality using Python, Django REST Framework, and GraphQL, achieving 20% improvement in data processing efficiency. Collaborated with a team of 6 developers to create a data categorization module, significantly enhancing retrieval speed and accuracy using Azure Search. Implemented testing and deployment pipelines using PyTest, Jest, and GitHub Actions for CI/CD, reducing deployment errors by 50% and improving deliverable quality.
Developed LiveShield, leveraging ElasticSearch, Logstash, and Kibana (ELK) for dynamic scanning of 10,000+ DLLs, enhancing real-time security analytics and alerts using socket.io. Integrated Nessus and NMap-based packet sniffers for in-depth vulnerability scans, utilizing NVD and CVE for robust threat management. Achieved 40% improvement in security effectiveness, aligning with NVD advisories and CVSS risk assessments.
Developed a Job Scheduling and Inventory Management application for the Zirconium Fabrication Plant. Distinguished as the only Computer Science major intern in the department. Implemented REST APIs using Flask and Python, with efficient database queries for real-time data retrieval and processing.
Built a Proof of Concept application implementing the IEEE Standard for Privacy-Preserving Data Sharing with Anonymous ID Assignment in healthcare. Developed a secure web application using ASP.NET and C# for hospitals and clinics to manage patient records with robust privacy controls.
Major: Computer Science and Engineering. Relevant Coursework: CS-505 Computation and Automata Theory, CS-705 Cyber Law, CS-503 Artificial Intelligence and Expert Systems, CS-703 Digital Image Processing, and CS-605D Mobile Application Development (iOS). GPA: 7.77/10.00