Professional Journey

From startup innovation to enterprise solutions - building scalable systems that make a difference

• Currently Building at Zoku App
Summer 2025

Software Engineer Intern

Amazon

Developed a high-throughput logging microservice in Java and AWS Lambda, processing 20M+ events/day, which reduced internal debugging time by 35% across multiple engineering teams. Integrated Amazon DynamoDB and S3 for fault-tolerant storage, improving log retrieval latency by 60% under peak load conditions.

🎯Key Achievements

Built logging service processing 20M+ daily events
Reduced internal debugging time by 35%
Improved log retrieval latency by 60% with DynamoDB/S3
Deployed production code via CodePipeline in Agile environment
Contributed to 3 successful sprint deliveries ahead of schedule
Fall 2025

Software Engineering Intern

Zoku App - Mystery Activity Mobile Application Startup

Architected scalable AWS cloud infrastructure (EC2, RDS, S3, Lambda, CloudFront) reducing latency by 40%. Led backend migration to AWS achieving 35% cost reduction while maintaining 99.9% uptime. Collaborated with cross-functional team of 8+ developers using Agile methodologies.

🎯Key Achievements

Reduced latency by 40% with AWS infrastructure
Achieved 35% cost reduction with 99.9% uptime
Led cross-functional team of 8+ developers
Implemented AWS security best practices
Comprehensive monitoring solutions
May - August 2023

Software Development Intern

Vantage Marketing

Developed full-stack analytics dashboards using React, Node.js, Python serving 500+ daily users. Optimized legacy backend services improving API response time by 25% and reducing server costs by 15%. Reduced production bugs by 30% through comprehensive testing.

🎯Key Achievements

Served 500+ daily users with analytics dashboards
Improved API response time by 25%
Reduced server costs by 15%
Reduced production bugs by 30%
Achieved 95%+ test coverage (Jest, Selenium)
May - August 2022

Data Analytics and Machine Learning Intern

Vantage Marketing

Developed ML models (Logistic Regression, Random Forest) achieving 78% churn prediction accuracy. Engineered ETL pipelines processing 100,000+ daily records from CRM systems. Partnered with marketing teams translating ML insights into retention strategies.

🎯Key Achievements

78% churn prediction accuracy with ML models
Processed 100,000+ daily records with ETL pipelines
Improved customer lifetime value by 20%
Translated ML insights into retention strategies
Built comprehensive data workflows

Ready to Build Something Amazing?

Explore my projects or get in touch to discuss how my experience can benefit your team.