'/%3e%3cdefs%3e%3cpattern%20id='pattern0_22_1110'%20patternContentUnits='objectBoundingBox'%20width='1'%20height='1'%3e%3cuse%20xlink:href='%23image0_22_1110'%20transform='scale(0.02)'/%3e%3c/pattern%3e%3cimage%20id='image0_22_1110'%20width='50'%20height='50'%20xlink:href='data:image/png;base64,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'/%3e%3c/defs%3e%3c/svg%3e)
'%3e%3cpath%20d='M32,6c-14.359,0%20-26,11.641%20-26,26c0,12.277%208.512,22.56%2019.955,25.286c-0.592,-0.141%20-1.179,-0.299%20-1.755,-0.479v-5.957c0,0%20-0.975,0.325%20-2.275,0.325c-3.637,0%20-5.148,-3.245%20-5.525,-4.875c-0.229,-0.993%20-0.827,-1.934%20-1.469,-2.509c-0.767,-0.684%20-1.126,-0.686%20-1.131,-0.92c-0.01,-0.491%200.658,-0.471%200.975,-0.471c1.625,0%202.857,1.729%203.429,2.623c1.417,2.207%202.938,2.577%203.721,2.577c0.975,0%201.817,-0.146%202.397,-0.426c0.268,-1.888%201.108,-3.57%202.478,-4.774c-6.097,-1.219%20-10.4,-4.716%20-10.4,-10.4c0,-2.928%201.175,-5.619%203.133,-7.792c-0.2,-0.567%20-0.533,-1.714%20-0.533,-3.583c0,-1.235%200.086,-2.751%200.65,-4.225c0,0%203.708,0.026%207.205,3.338c1.614,-0.47%203.341,-0.738%205.145,-0.738c1.804,0%203.531,0.268%205.145,0.738c3.497,-3.312%207.205,-3.338%207.205,-3.338c0.567,1.474%200.65,2.99%200.65,4.225c0,2.015%20-0.268,3.19%20-0.432,3.697c1.898,2.153%203.032,4.802%203.032,7.678c0,5.684%20-4.303,9.181%20-10.4,10.4c1.628,1.43%202.6,3.513%202.6,5.85v8.557c-0.576,0.181%20-1.162,0.338%20-1.755,0.479c11.443,-2.726%2019.955,-13.009%2019.955,-25.286c0,-14.359%20-11.641,-26%20-26,-26zM33.813,57.93c-0.599,0.042%20-1.203,0.07%20-1.813,0.07c0.61,0%201.213,-0.029%201.813,-0.07zM37.786,57.346c-1.164,0.265%20-2.357,0.451%20-3.575,0.554c1.218,-0.103%202.411,-0.29%203.575,-0.554zM32,58c-0.61,0%20-1.214,-0.028%20-1.813,-0.07c0.6,0.041%201.203,0.07%201.813,0.07zM29.788,57.9c-1.217,-0.103%20-2.411,-0.289%20-3.574,-0.554c1.164,0.264%202.357,0.451%203.574,0.554z'%3e%3c/path%3e%3c/g%3e%3c/g%3e%3c/svg%3e)
'%3e%3cpath%20d='M41,4h-32c-2.76,0%20-5,2.24%20-5,5v32c0,2.76%202.24,5%205,5h32c2.76,0%205,-2.24%205,-5v-32c0,-2.76%20-2.24,-5%20-5,-5zM17,20v19h-6v-19zM11,14.47c0,-1.4%201.2,-2.47%203,-2.47c1.8,0%202.93,1.07%203,2.47c0,1.4%20-1.12,2.53%20-3,2.53c-1.8,0%20-3,-1.13%20-3,-2.53zM39,39h-6c0,0%200,-9.26%200,-10c0,-2%20-1,-4%20-3.5,-4.04h-0.08c-2.42,0%20-3.42,2.06%20-3.42,4.04c0,0.91%200,10%200,10h-6v-19h6v2.56c0,0%201.93,-2.56%205.81,-2.56c3.97,0%207.19,2.73%207.19,8.26z'%3e%3c/path%3e%3c/g%3e%3c/g%3e%3c/svg%3e)
Projects
Skills
'%3e%3cpath%20fill='%23ffffff'%20d='M%2038.371094%20109.824219%20C%2057.113281%20128.5625%2070.5%20147.304688%2083.882812%20171.398438%20C%20146.351562%2053.601562%20222.203125%200.0585938%20206.140625%2018.800781%20C%20155.273438%2083.945312%20120.472656%20149.980469%2086.5625%20224.941406%20C%2066.929688%20189.246094%2041.941406%20141.949219%2011.601562%20132.132812%20C%202.675781%20123.207031%2024.09375%20101.792969%2038.371094%20109.824219%20Z%20M%2038.371094%20109.824219%20'%20fill-opacity='1'%20fill-rule='nonzero'/%3e%3c/g%3e%3c/svg%3e)
Java
Python
JavaScript
TypeScript
C++
React
MUI
Django
Flask
Bootstrap 5
Google React Charts
Spring
Spring Boot
Express
MySQL
PostgreSQL
REST APIs
MongoDB
Supabase
Firebase
Agile/Scrum
Waterfall
OOD
SOLID
SOA
Microservices
GoF Design Patterns
HTML5
CSS3
Git/GitHub
OpenGL
CI/CD
Docker
Kubernetes
Jira
AWS
Azure
Vite
JUnit 5
Jest
Node.js
Linux
Datadog
Experiences
- Mentored 180+ students in advanced Data Structures & Algorithms (DSA), guiding them through LeetCode-style problems to sharpen both their technical and behavioral interview skills
- Hosted weekly office hours to deconstruct complex DSA concepts, fostering robust problem-solving methodologies for several algorithmic patterns
- Tech Stack: Leetcode, VSCode, Replit, Slack, Zoom
- Developed a Spring REST API service to enhance customer personalization for a 13M+ user base by processing real-time customer-based GUID events from Azure Service Bus
- Enabled product-driven Exploratory Data Analysis by persisting event-driven user data into MongoDB, establishing a reliable source for enrollment trends and user behavior
- Decreased MongoDB query latency by 89% for customer-facing microservices by engineering a consolidation service that unifies disparate customer data streams into a concise profile that updates at a specified interval
- Built and trained an XGBoost/HistGradient ML model with 97% accuracy to identify and mitigate cybersecurity threats as part of a network micro-segmentation proof-of-concept
- Tech Stack: Java, Azure, Spring Boot, MongoDB, Hoppscotch, Python, Flask, React, Docker, Kubernetes, CI/CD
- Automated the generation of 25K+ video assets by engineering a multithreaded Java Spring REST API, drastically reducing manual content creation efforts
- Ensured service reliability by achieving 80% code coverage through substantial JUnit 5 unit and integration tests
- Eliminated 1-2 weeks of recurring work by creating a Spring service to automate content tag assignment for 25K+ assets
- Simplified the content moderation workflow by 25% by integrating an OpenAI-powered sentiment analysis service for over 180,000 user comments
- Implemented Datadog alerts to monitor API and service performance relating to P95 latency, request calls, and request errors, generating a 4% faster issue response time for the Discover team’s Comment and Notification APIs
- Tech Stack: Java, Spring, Spring Boot, SOA, OpenAI, Contentful, AWS DocumentDB, MongoDB, JUnit 5, Datadog, Kafka, Lombok
'%3e%3cpath%20fill='%230099d8'%20d='M%20374.925781%20344.9375%20L%20157.296875%20344.9375%20C%2070.636719%20344.9375%200.144531%20274.347656%200.144531%20187.605469%20C%200.144531%20100.84375%2070.636719%2030.277344%20157.296875%2030.277344%20L%20374.925781%2030.277344%20L%20374.925781%2070.871094%20L%20157.296875%2070.871094%20C%2093.011719%2070.871094%2040.722656%20123.222656%2040.722656%20187.605469%20C%2040.722656%20251.941406%2093.011719%20304.320312%20157.296875%20304.320312%20L%20374.925781%20304.320312%20Z%20M%20160.691406%2097.472656%20L%20374.636719%2097.472656%20L%20374.636719%20138.066406%20L%20160.691406%20138.066406%20C%20133.25%20138.066406%20110.925781%20160.421875%20110.925781%20187.921875%20C%20110.925781%20215.421875%20133.25%20237.753906%20160.691406%20237.753906%20L%20374.636719%20237.753906%20L%20374.636719%20278.371094%20L%20160.691406%20278.371094%20C%20110.875%20278.371094%2070.347656%20237.777344%2070.347656%20187.921875%20C%2070.347656%20138.039062%20110.875%2097.472656%20160.691406%2097.472656%20Z%20M%20374.925781%20208.074219%20L%20159.332031%20208.074219%20C%20148.15625%20208.074219%20139.066406%20198.980469%20139.066406%20187.753906%20C%20139.066406%20176.550781%20148.15625%20167.457031%20159.332031%20167.457031%20L%20374.925781%20167.457031%20Z%20M%20374.925781%20208.074219%20'%20fill-opacity='1'%20fill-rule='nonzero'/%3e%3c/g%3e%3c/svg%3e)
- Generated a ~3% increase in company workflow by engaging in the acquisition of IT-related software/hardware equipment such as (Adobe Acrobat, Microsoft Visio, Microsoft Project) for 75+ internal/external customers
- Facilitated the analytics process and IT operations of O&R as measured by monitoring the deployment status of active/inactive product licenses and the fulfillment of 45+ unresolved tickets within the End User Services department
- Tech Stack: Oracle and Microsoft Excel
- Constructed, trained, and evaluated 5+ distinct Convolutional Neural Network (CNN) architectures to perform supervised image classification
- Assessed model robustness by subjecting CNNs to adversarial attacks (FGSM, BIM) and analyzing the resulting impact on classification accuracy and confidence scores
- Tech Stack: Python, TensorFlow, Matplotlib, Numpy, Pandas, Google Colab
Education
CUNY - The City College of New York
B.E. Computer Engineering
Graduation Date: June 2022
