Los Altos, California, United States
Technology executive with a passion for combining strategy, artificial intelligence, machine learning, and data analysis to build businesses and reduce financial risks. I offer an unusual blend of technical, quantitative finance, big-data, statistics, and interpersonal skills and entrepreneurial experience. I have a twenty-year history of growing six technology start-ups as innovator, entrepreneur, and founder and sixteen years’ experience as CEO, President, and Chairman of the Board. I have been founding member of several start-ups, secured venture financing, managed a start-up company from bootstrap to profitability on a single Series A round. I have a proven history of successfully managing new ideas from inception through patent process, team formation, product development, market rollout, product delivery, licensing and OEM-ing to third parties. I have a demonstrated history of success managing hardware, ASIC, and software development. I thrive on challenges. Specialties: Experienced CEO and C.O.B Experience, Growing Teams, Design Thinking, Patents, IP Licensing, Market Analysis, Business Metrics, Financial Analysis and Modeling, Debt Markets, Real Options Analysis, Start-ups, Business Development Technical Skills: • Advanced programming in R, Python, C. Proficient in PyTorch, TensorFlow, R Shiny, SQL. • Machine earning: - (Advanced) logistic regression, survival analysis, random forest, SVG, GBM, CART, ensemble models, and others using R CARET, ggplot2, scikit-learn, NumPy, pandas. - Stats 202 (Stanford, A): LDA, QDA, KNN, Bagging, SVM, PCA • AI / Deep Learning / Reinforcement Learning: - (Advanced) H20.ai, Keras - (Proficient) NLP, GPT3, BERT, CNN, Inception, Tensor-Flow, PyTorch, current in utilization of most cutting-edge models, AWS SageMaker. • Statistical Analysis and Time-Series Analysis: - ANOVA/MANOVA,GLM, lasso / ridge regression, linear and non-linear optimization - Non parametric regression, splines. - ARMA-GARCH, VAR, HMM, and MSMF models • Big Data Frameworks: (Batch) Hadoop, Spark; (Stream) Storm, Heron, Kafka, Python ORMs • Financial Modeling: 3 statement models, Pro Forma forecasting, valuation, and cash flow analysis, Monte Carlo sensitivity analysis using Crystal Ball. • Excel: data tables, pivot tables, linear constraint optimization, and Visual Basic. • Advance knowledge of Credit Models, CoxPH, Consumer credit models and default prediction.
Creating cutting-edge Gen AI solutions for customers. Gen AI metrics and measures.
LLM Delivery Lead for fine-tuned custom text-based and code-based models for large publisher in finance industry.
Generative AI for Business: Large Language Models (LLM) and RAG architectures, AI Transformations and Analytics across several business segments: Finance, Emerging Tech, Metaverse, Technology Industries, Fraud Mitigation, and Advertising.
Fraud Detection, NLP, Time-Series Forecasting.
AI and ML based financial consulting and advisory firm (Series 65 License in California, CRD number 170360). Portfolio management, quantitative risk assessment, alternative investments, factor analysis, and quantitative services. • Developed machine learning models in R for private lending company’s investment strategy - Architected and deployed an R pipeline to replace Excel and heuristic rule driven approach - Built credit scoring models in R / CARET that outperformed existing loan models by 8.3% increasing profits. Created and deployed Rest APIs for deploying model across enterprise - Credit system allowed real-time trade-offs of risk and profit expectation for credit decisions. • Analyzed public REIT competitors’ valuations and debt covenants dependencies on forecasted revenue with Monte Carlo scenario analysis • Created real-time US county level sentiment analysis of tweets using NLP and Storm • Researched emerging market trends in artificial intelligence, cloud computing and GPUs • Advanced programming in R, Python, C. Proficient in PyTorch, TensorFlow, R Shiny, SQL. • Machine learning: - (Advanced) logistic regression, survival analysis, random forest, SVG, GBM, CART, ensemble models, and others using R CARET, ggplot2, scikit-learn, NumPy, pandas. - Stats 202 (Stanford, A): LDA, QDA, KNN, Bagging, SVM, PCA • AI / Deep Learning / Reinforcement Learning: - (Advanced) H20.ai, Keras - (Proficient) NLP, GPT3, BERT, CNN, Inception, Tensor-Flow, PyTorch, current in utilization of most cutting-edge models, AWS SageMaker. • Statistical Analysis and Time-Series Analysis: - ANOVA/MANOVA,GLM, lasso / ridge regression, linear and non-linear optimization - Non parametric regression, splines. - ARMA-GARCH, VAR, HMM, and MSMF models
Venture capital and small company investments, acquisitions (company and IP), and strategic turn-around. • Acquired and monetized intellectual property via novel hedge fund investment structure • Performed company valuations and evaluations of Transmeta and Novafora IP • Managed and sourced alternative and start-up investments and acquisitions of IP
Facilitate Interpersonal Dynamics course (OB 374) and High Performance Leadership course with graduate students.