Driven and impactful Data & Analytics Engineer and AI Solutions Architect with an analytical mindset and 15+ years of experience bridging cutting-edge data infrastructure, machine learning, and interdisciplinary engineering. Passionate about open-source collaboration, robust data governance, and weaving data integrity into agentic AI systems.

I thrive in designing, modernizing, and delivering production-grade data pipelines and software solutions for:

• AI Inference Engines & Agentic Systems
• Enterprise ETL/ELT Pipelines & Data Governance
• Medical Imaging & 3D/4DCT Computer Vision
• Predictive Analytics & Sentiment NLP
• Surgical Planning, Kinematics & Biomechanics

Languages & Platforms:
Python · SQL · Databricks (Certified Associate) · AWS/GCP Data Services · Docker · Git / CI/CD · Palantir Foundry · MATLAB

Frameworks, ML & AI:
PyTorch · TensorFlow · scikit-learn · LangChain · Agentic & LLM Architectures · OpenCV · VTK · DICOM

Data Engineering & Visualization:
Pandas · NumPy · Plotly / Dash · Seaborn · Matplotlib · 3D Slicer Extension Framework

• Architect Enterprise AI & Data Infrastructure: Build end-to-end data pipelines, data lake governance protocols, and AI inference engines.
• Drive Algorithmic Integrity: Develop and validate complex mathematical models, computer vision algorithms, and automated data quality gates.
• Bridge Tech & Strategy: Present technical roadmaps to C-suite executives, cross-functional engineering teams, and multi-institutional stakeholders.
• Technical Leadership & Upskilling: Mentor engineers, researchers, and PhD candidates while promoting clean, reusable code and modern analytics best practices.

Data & Analytics Engineer | MojoTech (Dec 2025 – Present)

• Architecting cloud-native AI solutions, data lake integrity gates, and scalable analytics platforms for enterprise clients.
• First engineer firm-wide to earn the Databricks Certified Data Engineer Associate designation.

Sr. Research Engineer – Software | Brown University Health (2016 – Nov 2025)

• Led deep learning (nnUNet), 3D/4DCT biomedical image analysis, and NLP sentiment pipelines correlating operational data with clinical outcomes.
• Spearheaded multi-institutional AI initiatives with Harvard and Boston Children’s Hospital.

Data Architecture · Agentic AI Operations · ETL/ELT Pipeline Design · Computer Vision & 3D Registration · Statistical Modeling · Executive Stakeholder Engagement · Cross-Functional Mentorship