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.

Planned and delivered MLOps-enabled recommender microservice for credit card recommendations, productionized TensorFlow Wide & Deep models and bootstrapped Flask inference services to support realtime inference.

Applied machine learning to neuroimaging data (MEG/EEG, MRI) to extract imaging-genomic biomarkers, running large-cluster analyses on 500+ subjects and delivering statistical ML models for clinical research.

Completed a Master of Business Administration at the Naveen Jindal School of Management with coursework focused on business strategy and management for technology-driven organizations.

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