Data scientist & AI researcher building real-world ML solutions in healthcare, NLP, and security. Strong in model design, deployment, and impact.
Location
New York City, NY
Levittown, NY
Education
C
CUNY City College
August 2025 - May 2027
expected degree
Master's
majors
Computer Science
Data Science
Work Experience
E
EKAGRA Health
AI/ML Consultant
December 2024 - present
company
EKAGRA Health
title
AI/ML Consultant
overview
Leading the integration of AI/ML solutions into EKAGRA Health’s infrastructure by optimizing machine learning pipelines, data workflows, and automation systems. Focused on scalable AI implementation, predictive analytics, and model deployment, ensuring seamless transitions while enhancing system performance and efficiency.
Responsibilities:
• Spearheading AI/ML infrastructure development, transitioning from external partners to an in-house team.
• Optimizing machine learning workflows, ensuring smooth data processing and model deployment.
• Leading data pipeline structuring to enable large-scale AI model training and predictive analytics.
• Collaborating closely with engineers, and data stakeholders to align technical implementation with operational goals.
Key Focus Areas:
• AI & ML Integration – Building robust foundations for ML, DL, and NLP.
• Predictive Analytics & Decision Optimization – Enhancing data-driven decision-making.
• Automation & AI Scalability – Streamlining workflows for long-term AI deployment.
• Technical Advisory – Bridging gaps between product vision and technical feasibility in AI implementation.
Passion
My passion lies in building ethical and efficient AI systems that help people. Whether it’s reducing misdiagnoses or making tech more inclusive, I enjoy solving meaningful problems with smart data and smarter models.