About Me
Available for Projects
About Me
Available for Projects
About Me
Available for Projects
My journey has been shaped by a strong academic foundation, hands-on experience in multiple industries, and hours of behind the scenes learning! I’m dedicated to learning as much as I can about as many topics as I can.
Academic Education
Northeastern University (Honors) - Khoury College of Computer Science - B.S. in Computer Science and Business Administration, Concentration in Analytics
2023 - Present
Courses: Algorithms, Data Structures, Object Oriented Design, Database Design, Foundations of Software Engineering, Discrete Math, Business Statistics | GPA: 3.8/4.0
Northeastern University (Honors) - Khoury College of Computer Science - B.S. in Computer Science and Business Administration, Concentration in Analytics
2023 - Present
Courses: Algorithms, Data Structures, Object Oriented Design, Database Design, Foundations of Software Engineering, Discrete Math, Business Statistics | GPA: 3.8/4.0
Northeastern University (Honors) - Khoury College of Computer Science - B.S. in Computer Science and Business Administration, Concentration in Analytics
2023 - Present
Courses: Algorithms, Data Structures, Object Oriented Design, Database Design, Foundations of Software Engineering, Discrete Math, Business Statistics | GPA: 3.8/4.0
Outside of ML and AI…
When I'm not building ML systems or analyzing datasets, I spend my time practicing the piano, listening to all types of music, playing and watching basketball, or cooking Chinese and Italian dishes.
Where It Started…
My first exposure to computer science was an Intro to Programming class in 8th grade, where we learned C++. At the time, I didn’t think coding was for me. It felt mundane and impractical with no real world applications.
But everything changed later that same year when I came across a project analyzing player performance in my favorite childhood game: CS:GO. For the first time, I saw how data could tell meaningful stories and offer real-world insights. That moment sparked my curiosity, and I began teaching myself Python and Pandas.
What started as a passion for data quickly grew into a broader interest in full-stack development, neural networks, and cloud infrastructure. It's been a journey of building, breaking, and constantly learning.
Experience
Experience
Experience
Boston, MA
HealthEdge
June - Aug 2025
Data Engineer Intern
COMING SOON!
Boston, MA
HealthEdge
June - Aug 2025
Data Engineer Intern
COMING SOON!
Boston, MA
HealthEdge
June - Aug 2025
Data Engineer Intern
COMING SOON!
Boston, MA
Wayfair
Jan - June 2025
Commercial Analyst
Optimizing offshore staffing, B2B account valuation, and customer experience through data-driven forecasting initiatives.
Improved forecasting pipeline accuracy through PCA and L2-regularized ARIMA models, enhancing seasonal schedule predictions and arrival patterns.
Deployed forecasting models for service handle time; validated via frequentist A/B testing and enhanced SLA adherence.
Implemented scalable ETL pipelines in GCP and real-time dashboards for workforce attendance tracking, reducing manual data processing time and error.
Boston, MA
Wayfair
Jan - June 2025
Commercial Analyst
Optimizing offshore staffing, B2B account valuation, and customer experience through data-driven forecasting initiatives.
Improved forecasting pipeline accuracy through PCA and L2-regularized ARIMA models, enhancing seasonal schedule predictions and arrival patterns.
Deployed forecasting models for service handle time; validated via frequentist A/B testing and enhanced SLA adherence.
Implemented scalable ETL pipelines in GCP and real-time dashboards for workforce attendance tracking, reducing manual data processing time and error.
Boston, MA
Wayfair
Jan - June 2025
Commercial Analyst
Optimizing offshore staffing, B2B account valuation, and customer experience through data-driven forecasting initiatives.
Improved forecasting pipeline accuracy through PCA and L2-regularized ARIMA models, enhancing seasonal schedule predictions and arrival patterns.
Deployed forecasting models for service handle time; validated via frequentist A/B testing and enhanced SLA adherence.
Implemented scalable ETL pipelines in GCP and real-time dashboards for workforce attendance tracking, reducing manual data processing time and error.
Boston, MA
Brain Games Center @ Northeastern
Dec 2023 - Jan 2025
Lead Research Engineer
Built a fully serverless ETL workflow with AWS, cutting storage costs through columnar compression and S3 lifecycle tiering.
Enhanced predictive model accuracy by building a backpropagation feedforward neural network from scratch with NumPy.
Containerized 3 ML models in Docker and rolled them out with blue/green deployments, trimming inference errors and shrinking model‑update time.
Led deployment of regression models with cross-functional teams for agile project management, reducing weekly manual maintenance.
Orchestrated CI/CD pipelines with GitHub Actions, streamlining model training, validation, and deployment for reliable release.
Boston, MA
Brain Games Center @ Northeastern
Dec 2023 - Jan 2025
Lead Research Engineer
Built a fully serverless ETL workflow with AWS, cutting storage costs through columnar compression and S3 lifecycle tiering.
Enhanced predictive model accuracy by building a backpropagation feedforward neural network from scratch with NumPy.
Containerized 3 ML models in Docker and rolled them out with blue/green deployments, trimming inference errors and shrinking model‑update time.
Led deployment of regression models with cross-functional teams for agile project management, reducing weekly manual maintenance.
Orchestrated CI/CD pipelines with GitHub Actions, streamlining model training, validation, and deployment for reliable release.
Boston, MA
Brain Games Center @ Northeastern
Dec 2023 - Jan 2025
Lead Research Engineer
Built a fully serverless ETL workflow with AWS, cutting storage costs through columnar compression and S3 lifecycle tiering.
Enhanced predictive model accuracy by building a backpropagation feedforward neural network from scratch with NumPy.
Containerized 3 ML models in Docker and rolled them out with blue/green deployments, trimming inference errors and shrinking model‑update time.
Led deployment of regression models with cross-functional teams for agile project management, reducing weekly manual maintenance.
Orchestrated CI/CD pipelines with GitHub Actions, streamlining model training, validation, and deployment for reliable release.
Edison, NJ
Alpha Equity Group
Jan - June 2024
ML Software Engineer
Modernized valuation systems by refining machine learning models and automating reporting to speed up data delivery.
Engineered and productionized real estate pricing models, boosting prediction accuracy and streamlining valuation on historical data.
Optimized ETL pipelines by designing and managing a mySQL server integrating relational tables, reducing merge errors and accelerating data processing time.
Developed dynamic dashboard to track KPIs and regional trends, directly influencing real estate acquisitions across multiple states—increasing property investment activity.
Created standardized API documentation, lowering integration-related developer questions and decreasing onboarding time.
Edison, NJ
Alpha Equity Group
Jan - June 2024
ML Software Engineer
Modernized valuation systems by refining machine learning models and automating reporting to speed up data delivery.
Engineered and productionized real estate pricing models, boosting prediction accuracy and streamlining valuation on historical data.
Optimized ETL pipelines by designing and managing a mySQL server integrating relational tables, reducing merge errors and accelerating data processing time.
Developed dynamic dashboard to track KPIs and regional trends, directly influencing real estate acquisitions across multiple states—increasing property investment activity.
Created standardized API documentation, lowering integration-related developer questions and decreasing onboarding time.
Edison, NJ
Alpha Equity Group
Jan - June 2024
ML Software Engineer
Modernized valuation systems by refining machine learning models and automating reporting to speed up data delivery.
Engineered and productionized real estate pricing models, boosting prediction accuracy and streamlining valuation on historical data.
Optimized ETL pipelines by designing and managing a mySQL server integrating relational tables, reducing merge errors and accelerating data processing time.
Developed dynamic dashboard to track KPIs and regional trends, directly influencing real estate acquisitions across multiple states—increasing property investment activity.
Created standardized API documentation, lowering integration-related developer questions and decreasing onboarding time.
Stack
Grafana
Grafana
Apache Kafka
Apache Kafka
Insomnia
Insomnia
Python
Python
Java
Java
Javascript
Javascript