SUMMARY:

• Experienced Artificial Intelligence leader with hands on full stack, cross platform and multi cloud based architecture and development experience, including all aspects of the systems development lifecycle. Demonstrated success as a technical leader and researcher, with strong practical business driven artificial intelligence, software development and optimization algorithm design. Passion for activating new business ideas and using artificial intelligence and optimization to realize them as commercial products. Proven ability to speed product time to market, delivering on business goals, without compromising product quality.
• Extremely fast learner. Able to acquire expertise in new mathematical ideas, technologies and algorithms, from both Academia and Industry, with proven track record of successful and timely integration into business products on an Enterprise scale.
• Cultivates listening as primary skill; thinks both strategically and tactically and then delivers practical implementable solutions. Able to translate any requirements into practical data driven artificial intelligence and automation solutions collaboratively with business and technical stakeholders.
• Proven ability to negotiate and manage third party business and vendor partnerships, building strong, value added relationships.Domain experience in financial trading and management, materials and pharmaceutical companies. Delivers value - based business process improvements with and without artificial intelligence.Experienced Artificial Intelligence leader with hands on full stack, cross platform and multi cloud based architecture and development experience, including all aspects of the systems development lifecycle. Demonstrated success as a technical leader and researcher, with strong practical business driven artificial intelligence, software development and optimization algorithm design. Passion for activating new business ideas and using artificial intelligence and optimization to realize them as commercial products. Proven ability to speed product time to market, delivering on business goals, without compromising product quality.
• Extremely fast learner. Able to acquire expertise in new mathematical ideas, technologies and algorithms, from both Academia and Industry, with proven track record of successful and timely integration into business products on an Enterprise scale.
• Cultivates listening as primary skill; thinks both strategically and tactically and then delivers practical implementable solutions. Able to translate any requirements into practical data driven artificial intelligence and automation solutions collaboratively with business and technical stakeholders.
• Proven ability to negotiate and manage third party business and vendor partnerships, building strong, value added relationships.
• Domain experience in financial trading and management, materials and pharmaceutical companies. Delivers value-based business process improvements with and without artificial intelligence.

TECHNICAL SKILLS:

Programming Languages: Python, Typescript, Javascript, Java, modern C++, C

AI Frameworks: GPT3, Hugging Face, Pytorch, Tensorflow, SciKit Learn,Geometric Pytorch, Open AI (davinci)Cloud:AWS, Google Cloud, Microsoft Azure, Kubernetes, Serverless, MLOps,, DevSecOps, Sagemaker, Glue, Athena.

Management skills: Budgeting, mentoring, KPI based offshore-onshore management, Solution Architecture, Product Management, Vendor Management

Algorithms and Data: Non linear Optimization, Combinatorial Optimization

PROFESSIONAL EXPERIENCE:

Confidential, Santa Cruz, CA

AI Predictive Analytics Consultant

Responsibilities:

• Led implementation of Google Cloud based end to end Artificial Intelligence and data automation resulting in 15% increase in predictive properties of materials as alternatives to plastics, Led the design and implementation of optimization algorithm to decrease costs of suppliers under changing supply chain conditions by over 10% under simulated conditions..
• Python
• XGBoost
• SVM
• GPT3
• Interior Point Non Linear Optimization
• Deep Neural Networks
• MLOps

Confidential, San Francisco CA

VP Analytics and Quantitative sciences

Responsibilities:

• Customized GPT3 based NLP/NLU Chatbot system providing human readable IoT data for SENSEE. The system generates novel sensor design ideas using a fine tuned davinci model rendered as a custom ChatBot.. Google BERT was also separately utilized to create a document specific Q&A model. Project is MIT initiated and funded by NSF as seed for IoT startup targeting multi billion dollar international market. Primary technologies used:
• GPT3, Open AI APIs (davinci model), Google BERT.
• Solutions Architect for AI, Cloud Migration and Cloud Economics optimization subcontracted through Cognizant for multiple consulting engagements. Projects consisted mainly of AI Machine Learning using python, Spark, MLOps as well as traditional Solutions Architectures based on the Kafka messaging platform.
• Apple (Multi Cloud)
• CCC (AWS)
• USAA (AWS)
• Caterpillar (Azure)
• Twitter (Multi Cloud)
• As researcher at UC Santa Cruz, developed novel order of magnitude memory saving numerical robust optimal control algorithm for DARPA funded internal initiative, that allows the solution previously intractable high dimensional robotic and aerospace systems. Invention can be used to solve critical safety problems in automated driving and robotic systems under unexpected conditions. Primary technologies used:
• Pytorch, Python, Ipopt, Modern C++, Matlab, CUDA
• Reinforcement Learning Actor Critic Algorithms
• Instructed O’Reilly Tensoflow Probability course.
• Developed cluster and random forest classification machine learning algorithms for custom built CRM system for Confidential Inc. System provided considerable savings to client, targeting fraud in the construction industry, as well as providing greater revenue streams by analyzing international buyer profiles. Revenue to end client was increased by 20% as a result. Primary technologies used:
• Scala, Java 8, Scikit-learn, Python, Flask, AWS, Cloud Foundry
• Led multiple Java/Python enterprise integration projects, with focus on migrating legacy biotechnology information systems to more modern microservice based architectures. This resulted in considerable increase in product stability, reducing legacy product maintenance costs. Primary technologies used:
• Java 8+, Kafka, Python

Confidential, South San Francisco, CA

Manager/Consultant

Responsibilities:

• Led team of consultants and full time employees in integrating and migrating LIMS applications to a modern web based architecture. Introduced test driven development methodologies, agile practices and a new team communications model.
• Managed, architected implemented example applications, and documented architecture using a UML blueprinting methodology for collaborative scalable development. As a result the company as able to reduce its consulting costs by 60% and simultaneously decrease the development lifecycle by an average of 30%.

Confidential, San Diego, CA

Senior Consultant

Responsibilities:

• Enhanced Java based, leading chemistry design and global virtual library for Confidential (PGVL). Utilized REST services to integrate with calculation services developed by computational chemists at Confidential .
• Documented application and development process - automated build process to facilitate a scalable multi developer onshore/offshore environment. Confidential was able to scale development from a small local team to a combined offshore-onshore effort, resulting in smaller development cycles and increase in productivity.

Confidential, San Francisco, CA

Director

Responsibilities:

• Agile development enabled critical timely penetration of competitive advice delivery market. The rapid delivery was instrumental in capturing over 30% of the semi-automated wealth management advice market, at a time when other main revenue streams of the firm were declining.
• Project managed, designed and reviewed technical quality of ongoing delivery of platform involving over fifty developers and three managers.
• Lead architect for first of its kind machine learning investment recommender system, offering optimized advice based on investor ps.
• Created automated trading system based on recommender system in just three months using agile processes. The project was a record delivery for the company, resulted in multiple exceptional contribution s.