San Francisco, California, United States
Senior Data Scientist & Technical Lead with 7+ years building and scaling ML and optimization systems that accelerate decision velocity and operational reliability across enterprise platforms. Experienced in defining business problems, success metrics, and translating insights into measurable business outcomes ($20M+ impact). Skilled at bridging product, engineering, and leadership teams to design data-driven roadmaps, enable self-serve analytics, and operationalize AI solutions in production (Azure). At the end of the day, I am looking for IC role where I work with a team of smart engineers to solve a complex problem, preferably in Tech and in the bay area, and deliver a solution to the stakeholders to make their life easier. I also bring senior-level experience from working in established organizations where applying disciplined frameworks turned technical output into business and investor value, especially in this three areas: Strengthening delivery: Proven frameworks that enhance reliability, consistency, and scalability of outcomes. Enhancing confidence: Translating technical achievements into measurable results and clear narratives that resonate with executive stakeholders and investors. Supporting leadership growth: Bringing wisdom from coaching teams and leaders, helping improve cross-functional alignment, sharpen communication, and raise organizational maturity.
IC Senior Data Scientist with management responsibilities for 4 data Scientists. Selected projects: - Designed & productionized Gurobi-based MILP optimization using Azure for global shipping allocation. - Developed a LLM-based semantic search (BERT + RAG) using Azure and Gradio application to identify documentation gaps. - Improved a regression model using XGBoost by 9% through feature engineering and feature selection for manufacturing equipment.
Served as Interim Product Owner for an innovation team, driving high-impact AI/ML initiatives from concept to delivery. Responsibilities included: - Innovation team performance, stand-up meetings, project prioritizations, interface with business units. - Backlog grooming, sprint planning, and PI (Program Increment) sessions to ensure timely delivery of key milestones. - Partnered with engineers, business leaders, and domain experts to align priorities, balance trade-offs, and maximize enterprise value.
Part of innovation team as a senior data scientist with a manufacturing equipment digital platform. Worked on incoming request from business unit, exploratory data analysis, data cleaning, and modeling. Selected projects: - Developed a multivariate time-series anomaly detection model across 1,000+ wells, enabling engineering monitoring and saving the company $5M annually (U.S. patented). - Developed an LLM-powered recommender system that improved knowledge reuse in projects. - Improve NLP model to enable the discovery of cybersecurity weaknesses in facilities.
Led process safety engineering initiatives to ensure compliance, optimize safety systems, and drive cost efficiencies across 17 infrastructures. - Process Safety Compliance: Served as technical lead overseeing two engineers to maintain Process Safety Management (PSM) standards across assets. - Cost Optimization: Applied layers of protection data analysis to optimize the lifecycle of safety devices (ISA/IEC 61511), reducing engineering and maintenance costs by 30% for a 40-year-old business unit. -> Passionate about leveraging data-driven safety strategies to enhance operational efficiency and compliance in complex industrial environments.
Technical functional group lead for quantitative risk assessment, training and process safety management (PSM) system
Short-term assignment. Contracted to Rumaila Operation Organization in Iraq – joint venture with BP-PetroChina-South Oil Company
Operational inputs for Operational Excellence Management System, especially in risk management and process safety engineering.