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Projects
Skills
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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
GoF Design Patterns
HTML5
CSS3
Git/GitHub
Jira
Vite
JUnit 5
AWS
Jest
Node.js
Linux
Datadog
Docker
Experiences
- Engaged in the instruction of 60+ students by guiding and refining their technical interview preparation skills through solving Leetcode-style technical-based and behavioral-based questions
- Facilitated weekly office hour sessions to promote student understanding of Data Structures & Algorithms unit topics and proffer additional insight on establishing robust problem-solving methodologies for technical questions invoking these patterns
- Tech Stack: Leetcode, VSCode, Replit, Slack, Zoom
- Engineered a Spring REST API Service to automate the creation of Embedded Videos from 25K+ existing and subsequent Vertical Cards with Java Multithreading, achieving ~80% code coverage employing Junit 5 Unit & Integration Testing
- Automated the content tag assignment/categorization of 25K+ Vertical Cards by populating them with their respective missing content tags through backend data analysis and tag creations, eliminating 1-2 weeks of initial and subsequent manual revisions
- Employed OpenAI for generating the sentiment analysis of 180K+ comments, expediting both the Content Moderation and Discover teams’ handling of comment use cases by simplifying 25% of the moderation workflow
- 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
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- 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
- Executed research in Machine Learning related to Supervised Learning by building, training, testing, and analyzing the performance of 5+ distinct Convolutional Neural Networks (CNNs) architectures for image classifications
- Gauged the robustness of these CNN architectures by interpolating several Adversarial Image-based attacks (FGSM, BIM) into these models and examining the identification and corresponding confidence levels between them
- Tech Stack: Python, TensorFlow, Matplotlib, Google Colaboratory
Education
CUNY - The City College of New York
B.E. Computer Engineering
Graduation Date: June 2022
