Modeled several Machine Learning prototypes to classify music eras with Python and Tensorflow
Generated and managed audio data library with pandas, created spectrograms from audio
Implemented vanilla Machine Learning (MLP), Image Classification (CNN) and Time Series Classification (Recurrent CNN) models to analyze audio data
Programatically tuned hyperparameters during model evaluation step to find optimum

Managed ETL processes & rebuilt the Cloud Data Warehouse using Google Analytics, Big Query, Firebase and dbt, reducing original database costs by more than 90%
Implemented Microservices coupled with Cloud Services using Firebase in Angular and Typescript
Built custom AI solutions for internal processes to cut cost for operations by about 70%, including:
Developed screening and extraction tool for several legal documents using Google Vertex AI
Built chatbot with access to customer data, automating responses to individual case inquiries
Designed analytics dashboards, empowering finance and operations teams with data-driven insights

Developed and integrated a Full-Stack app into Microsoft Teams as a Message Extension, expanding client’s user potential to global market
Architected Microsoft Azure infrastructure, built CI/CD pipeline for release of multiple environments
Managed request handling from Message Extension in Backend using Node.js and TypeScript
Implemented organization-wide authentication via Azure’s delegated OAuth protocol and Azure AD

Engineered a custom Shopify Storefront using Remix.js and Shopify APIs with GraphQL
Managed a team of 4 developers, overseeing the delivery of design and technical requirements

Developed a mobile AI parent advisor, offering quick and affordable child care support
Supervised the strategic implementation of LLM models (OpenAI’s GPT) for the chatbot, conducted domain-specific training, benchmarking and optimizations
Chained all applications in single monorepo with microservices, coupled with Cloud Development using AWS tools (including Lambda functions, API Gateway, DynamoDB, Amplify, Cognito, EC2)

Taught Data Analytics, Machine Learning, Web Scraping and API development to groups of ~15 students, including conceptualization of study material and final projects

Build prototypes and automated testing software to validate a product used for telecommunication
Developed a remote robot operation application, featuring a React.js console for command issuance
Implemented Backend in Python and Flask for machine control and collecting operation data
Implemented navigation tracking through image detection using OpenCV, evaluated algorithm performance against quality benchmarks with Scikit-Learn
Developed a Selenium Grid testing suite, analyzed Allure reports for performance tracking

Spearheading development of customer dashboard to monitor plastic production cycle across multiple manufacturers, facilitating industries’ compliance with government recycling mandates
Directed architectural improvements, including Workspace refactoring for optimized development
Engineered Frontend components utilizing React, SASS, and CoreUI for a responsive user interface
Implemented a comprehensive testing strategy to ensure stability in previously untested application
Transformed database and file management using GCP, prompting users to customize the app UI