Vamsi Sistla

ESR has a non-profit research institute headquartered in Seattle, WA. Their organization is primarily funded by federal governmental agencies including the National Aeronautics and Space Administration (NASA), National Science Foundation (NSF), Office of Naval Research (ONR), and National Oceanic and Atmospheric Administration (NOAA).

Aerobotics7 builds AI-powered Drone-tech platform to detect and destroy landmines One of the products EAGLE A7 is an AI-enabled Drone-tech platform that can autonomously detect, map, and can even destroy landmines and other buried/non-buried ordnances, remotely without any human risks. Unlike the current approach of manual demining, It is not only significantly safer but more than 50X faster than traditional approaches. It has the capability of detecting modern composite (plastic-based) landmines and explosives, which are not detected by currently available methods. It also gives users accurate positioning of mines and even the capability of remotely detonating them.

* Founding leader of this brand new group started in January, 2023. Transforming Nike's Product Creation & Merchandising business with data science & machine learning. Leading a team that builds AI ML insights for Product Line Managers, Planners, Merchandisers, Designers & Developers - who are responsible for building next generation (Shoes & Apparel) products at Nike. * Work with cross functional leadership across digital product creation, product merchandising & member analytics, merchant platform engineering, consumer market research and key lines of business (LOBs) to transform product creation at Nike *Bringing scaled analytics to the end-to-end workflow of product creation & and merchandising - by leveraging AI ML capabilities. Leading teams building product & member embeddings, clustering, behavior-based consumer segmentation, group-based personalization, carry over recommender, product pulse and city trendsetters and others.

Single-Threaded Leader (STL) running Data Science Common Pipelines, Models & Platform team at Nike. Establishing the center of excellence (COE) for consumer data science practice. Keen on organization development, values, virtues, and influencing without authority. + Responsible for building out the newly created cross-functional team and leading the transition of Nike’s Data Science capabilities to cross functional enterprise solutions. + As a horizontal function, the Reusable Models & Platform team collaborates with vertical data science teams - Personalization, Search, Core Commerce, Communications, Sports Activity, Product Design & Merchandising, and more. + Reusable ML include Data Pipelines, Feature Store, Reusable Models, Model Factory, Workflow Orchestration, ML Experiment Management, ML Testing and Governance (privacy/fairness/biases), and so on. Driving product adoption and internal team customer success + Lead and build Supply chain, merchandizing, Inventory Aware & location aware data pipelines and ML Models to address various use cases - Search, Recommendations, Personalization, Targeted Communication, Sports Activity, and Content.

Provide guidance and support to WiV leadership on their growth, venture financing, community building and accelerators

I built the best data science & MLOps group on the Northwest. Ran teams and digital transformation initiatives at various fortune 500 companies. Developing leaders and teams. Building strong relationships and collaboration, managing trusted stakeholder relationships internally and externally. 1. Machine Learning Architect & building MLOps on Azure o Operationalizing existing ML Models using Azure Machine Learning Service(AMLS) and Azure Databricks (ADB) with ADLS. Building automation, scale, and end to end "productionization" of ML Operations. Built solutions using Jupyter notebooks, ML Pipelines, ML Model experiments using MLFlow. Successfully implemented and deployed ML Model training and scoring into Production infrastructure (Applied ML). Handled data engineering aspects of the project by transforming Parquet format files from ADLS to CSV and Tabular data in AMLS. o Help in building propensity models to predict customer journey in acquiring Microsoft’s products. Implemented various clustering techniques to depict the customer journey. 2. Principal Machine Learning Lead for a Life Sciences Company o Building & validating Hypothesis for Cell Line Development using AWS Sagemaker and S3 Datalake. Leading Data Governance for the business Apart from standard ML platforms & tools, I have experience managing projects building enterprise data streaming platforms that eventually leveraged by Machine Learning Projects. Technologies used - Striim, DataBricks Delta Lake, Apache Spark, and Redis

Leadership o Define the company’s data science/ML product & services strategy with leadership o Collaborate with the executive team on the partnerships, go to market & business growth strategies o Managed group P&L, budget & utilization metrics. Product & Engineering o Roadmap, build & manage Data Science Products, Tools, Automation and Services using agile & lean methodologies o Demonstrated “bias towards action” leadership o Ran cross-organization projects pulling in engineering, DevOps and QA resources in Taiwan/UK o Lead with bleeding edge prototyping using emerging technologies and platforms such as AWS Managed Services, Azure and open source DS platforms. o Work with sr. architects in defining and implementing scalable and secure architecture for products and services o Built scalable, secure and high-availability products & services o I work with CTO/Product Managers to bring innovation to Bsquare's DataV product. Work in coordination with Bsquare Solution Architects and Core Engineering Group. o Lead Research and prototyping work in emerging areas - leveraging AWS, Azure, Machine Learning and Data Sciences. We also focus on creating automation of processes and standard patterns. o Ran large scale AB testing projects for fortune 500 clients. o Make use of AWS & Azure core & managed services. People Management o Recruit, retain & grow top-notch ML engineers (SDEs), data scientists, principal engineers for the group. o Mentor/guide all direct reports and cross-functional teams on company & group direction, customer priorities and their own individual career goals. Customer, Sales & Marketing o Drive digital transformation for Customers in Transportation, Retail, Energy & Manufacturing. o Identify opportunities to co-create products & services with internal & external customers o Work with product marketing, finance departments on business, marketing, lead gen & sales.

• Work with EVP & SVP on setting digital mortgage product & services strategy • Managed a team of contract developers, product managers, project managers & QA • Manage vendor relationships • Leading the enterprise technology architecture for Business Innovation Group within Freedom Mortgage (nations top 5 Lender) • Digitizing Mortgage Lending Services – capturing borrower information, pulling borrower data from 3rd party sources, OCR, rules & decisions engine integration (BPM), loan product & pricing and loan servicing – all via mobile and web interfaces. • Help manage and architect digital loan platform on Amazon AWS using – EC2, S3, Amazon RDS, Mongo DB, Node.Js, Express, Apache Spark, Tableau, and MySQL. • Prototyping and POC using following technologies - AWS, Google Cloud, Node.Js, Tableau, MySQL

Acquired by Entoro Capital Group in February 2017. (8 months CTO Consulting) • Came on board as a transition CTO to migrate original platform to Entoro and do their 1st launch. • Leading launch of Investment Banking Platform for Oil & Natural Gas Sector for Entoro Group ---- OfferBoard is a global private placement platform for equity offerings. OfferBoard works with emerging growth companies seeking $1–$25 million in equity capital from accredited investors and companies, providing access to investor networks designed to make capital raising easier and more efficient. The OFFERBOARD team includes international business leaders from companies such as Second Market, Goldman Sachs, JP Morgan Chase Bank and the Asian Development Bank, among others. As CTO these are my responsibilities - Leadership o Provide technology leadership & oversee technology & product management o Work closely with the CEO on strategy, fundraising, and customer acquisition efforts People Management o Build out engineering & products teams o Manage outsourced consultants, designer, and QA resources Product & Engineering o Establish world-class standards and technical operations to deliver consistent, high-quality platform across teams o Play a key role in building financial and transaction-intensive web platform over Azure Cloud Services (IAAS and PAAS) and Salesforce. Led integration on IBM SoftLayer and Amazon AWS platforms. o Assist in port legacy. ASP and VB Portal into Azure Cloud Infrastructure. Maintain multi-cloud installations with Heroku. o Customized and built regulatory compliant modules on top of Salesforce Enterprise Cloud. Integrated with DocuSign, NetDocuments and Conga Composer. o Built Secure, SOC & ISO 27K & FINRA compliant infrastructure. o Integrate third-party tools, such as Google Analytics, Mailchimp, Marketo, Mandrill, Kiss Metrics, Early IQ, New Relic, and JIRA.

August 2012 to May 2013 LIVESTAGE is a 360° digital venue for live music that will stream concerts live and on-demand with a spectrum of interactive features. Leveraging the groundbreaking 360HD° live streaming workflow, fans can choose between 360° and HD angles in the crowd and onstage. LIVESTAGE will enable fans to get closer to their favorite artists on the largest stage in the world. ---- Jan 2011 to July 2021 Telvetto is a SAAS based data curation platform for media & entertainment applications/products.Televetto's primary customer base includes second screen applications for TV, real time media, news & gaming applications and portals. Worked with co-founders to build the product, technology and business strategy. Focused on customer acquisition and fund raising for the company.

The Master of Information and Data Science (MIDS) program prepares data science professionals to be leaders in the field. The multidisciplinary curriculum draws upon computer science, social sciences, statistics, management, and law. The core curriculum focuses on the following key skills: Research Design, Data Cleansing, Data Engineering, Data Mining, and Exploring, Data Visualization, Information Ethics and Privacy, Statistical Analysis, Machine Learning. Built projects using Python, PyTorch, Keras, Databricks, AWS, Azure and Tensorflow The core curriculum focuses on the following key skills: Research Design Data Cleansing Data Engineering Data Mining and Exploring Data Visualization Natural Language Processing (NLP, BERT, Transformers) Information Ethics and Privacy Statistical Analysis Machine Learning Edge to Cloud Deep Learning Systems

Advanced Project Management Program - Part Time;