Artificial Intelligence Engineer - Founding at OneFish AI

Founded an AI-focused operation and developed a custom Python interpreter and AI compiler to automate complex data workflows, eliminating 95% of manual spreadsheet tasks and scaling to 100K+ records with real-time accuracy. Integrated Llama 3 with custom APIs under tight resource constraints, achieving sub-second inference and enabling autonomous AI agent invocation. Implemented an LSTM-based demand forecasting model to align production with sales, reducing daily waste from 12% to 4%.

Software Development Engineer Intern - AI/ML at Palm Beach County

Engineered a large-scale RAG chatbot pipeline by integrating ElasticSearch, Neural Seek, and Granite 13B on IBM Watson, boosting chatbot accuracy to 96% and serving 1.6M+ residents in a distributed-node environment. Enhanced data infrastructure with B-Tree partitioning, concurrent ingestion, and automated Python workflows, cutting manual handling by 80% and reducing overhead by 30%. Implemented enterprise-grade MLOps practices including backups and zero-downtime updates, reducing outages by 60% and ensuring fault-tolerant, continuous ML deployment.

Machine Learning Engineer Intern at Tata Consultancy Services

Benchmarked Random Forest and XGBoost models for trading signal classification, increasing prediction accuracy by 25%. Developed a multi-tiered data pipeline leveraging AWS (EC2, S3, SageMaker) to process 1M+ daily data points for scalable, cost-efficient compute in a distributed environment. Reduced LSTM inference latency by 15% using bidirectional LSTM with attention mechanisms and batched inference strategies for high-volume, real-time time series data.