ocean devfancy

Designed and implemented a multi-tenant Dreaming Worker pipeline to ingest multi-format content and generate structured insights using GPT-4-class LLMs, improving automated content analysis and reporting across tenants.

Led cross-functional teams to deliver ML, GenAI, and NLP solutions for financial analytics, built production AI features (chat assistants, backtesting, crypto arbitrage) and deployed cloud architectures on GCP and AWS.

Built scalable ML and ETL pipelines using AWS and ElasticSearch for the Global Hydrogen Index, applied BERT and GAT models for NLP and graph tasks, and improved data accuracy and processing time for index production.

Developed anomaly detection and fault-classification ML solutions for helicopter health analytics using deep learning, signal processing, and containerized deployments, delivering automated pipelines and hyperparameter testing frameworks.

Built responsive frontends using AngularJS, React, HTML5, CSS3, and JavaScript/TypeScript to deliver high-quality user experiences.
Developed backend services and RESTful APIs using Python and Node.js, integrating with SQL Serverand Azure-based services.

Wrote scripts in Python and Bash to automate data collection, parsing, and storage.
Supported integration of backend data pipelines with MySQL and NoSQL databases for large-scale data indexing.
Wrote and optimized scripts in Python to automate data extraction, transformation, and loading (ETL).

Grade: 3.8

Activities and societies: N/A

Completed a Master of Science in Bioengineering with coursework and projects involving machine learning applied to biomedical data and signal processing.