Lead AI Engineer with 10+ years in LLMs, MLOps & Production ML.
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Hands-on Al leader with more than 10 years building applied AI and developer productivity platforms across startup and enterprise environments, blending 0-to-1 product work with large-scale delivery and compliance. Expertise in LLMs, fine-tuning, model evaluation, MLOps and LLMOps, and production ML engineering using Python, PyTorch, TensorFlow, Hugging Face, LangChain, and AWS SageMaker. I lead cross-functional teams, establish CI/CD and reproducible training pipelines with Docker, Kubernetes, MLflow, and monitoring via Prometheus and Grafana, while enforcing responsible AI, model governance, and cost controls. Skilled at translating research into secure, scalable copilots and agents that improve developer workflows, and at communicating technical strategy to executives and product partners.
Long Island University
Bachelor's degree · Computer Science
August 1, 2011 – June 30, 2015
Columbia University
Bachelor of Arts
August 1, 2002 – June 30, 2006
Accenture
Senior Software Engineer
May 1, 2024 – Present
US
Hexagon
Senior Full Stack Engineer
October 1, 2019 – March 1, 2024
US
PuzzleHR
Software Engineer IV
August 1, 2017 – September 1, 2019
US
ServiceNow
Software Engineer
May 1, 2015 – February 1, 2017
US
Cultural Fit Analysis
The candidate's diverse experience across startup and enterprise environments (Accenture, Hexagon, PuzzleHR, ServiceNow) suggests adaptability and a broad understanding of different organizational cultures. Their involvement in 0-to-1 product development, scaling data pipelines, and championing new technologies (Terraform, IaC) indicates a proactive and innovative mindset. The emphasis on mentorship and team growth also points to a positive cultural contribution, aligning with a leadership role that fosters development.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and cross-functional collaboration skills, evidenced by leading teams, coaching engineers, guiding stakeholders, and partnering with security/compliance teams. Their experience in defining KPIs, managing project roadmaps, and standardizing CI/CD processes indicates a strong operational fit for a lead role. The focus on responsible AI and model governance also aligns with best practices for senior-level positions.