Kartik Thakore, Developer in Santa Clara, CA, United States
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Kartik Thakore

Bio

Kartik is a technology leader, executive, and entrepreneur with experience in data analytics, ML, scaling technology teams, and AI domains. He has a proven track record of building teams, technologies, and operations from the ground up for startups and Fortune 50 clients. Kartik has worked closely with leaders in these companies to establish relationships and deliver market-leading solutions. To date, Kartik has been a part of three successful exits.

Portfolio

Elevance Health
Technology Strategy & Architecture, Hybrid Cloud Infrastructure...
Hammer Of The Gods
Fundraising, Technical Hiring, Data Science, Computer Vision...
doc.ai (acquired by Sharecare)
Statistics, Technical Hiring, Deep Learning, Big Data, Apache Spark...

Experience

  • Data Engineering - 13 years
  • Data Science - 13 years
  • Big Data - 11 years
  • Technology Strategy & Architecture - 11 years
  • Medical Software - 10 years
  • HL7 FHIR Standard - 8 years
  • Computer Vision - 7 years
  • Fundraising - 5 years

Preferred Environment

Slack, Zoom, Business Strategy

The most amazing...

...product I've created is a computer vision application to extract and label medications from pills and medication bottles used for clinical trials.

Work Experience

Entrepreneur in Residence

2022 - PRESENT
Elevance Health
  • Developed a business case and strategy for the C suite to invest in commercialization efforts.
  • Collaborated with various cross-functional teams on aligning business goals and extracting technical constraints during my first two months at the company.
  • Operationalized and kicked off a cross-department effort to begin foundational architecture, security compliance, and infrastructure requisitions.
Technologies: Technology Strategy & Architecture, Hybrid Cloud Infrastructure, HL7 FHIR Standard, Claims Processing, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Data Science, Databases, Consulting, Machine Learning, Investor Presentations, Data Visualization, Pitch Decks, Storytelling, Business Strategy, Go-to-market (GTM) Strategies, Go-to-market Plans, Artificial Intelligence (AI), Business Models, Business Services, Startups

Co-founder | CTO

2020 - 2022
Hammer Of The Gods
  • Developed the first-ever prototype of TinyML containers using Rust, WebAssembly, and distributed computing, and raised seed funding with the prototype.
  • Managed the end-to-end computer vision and privacy-preserving edge machine learning application for a property insurance customer from deployment to production.
  • Built and grew the company from two to 15 employees and led the company to a successful exit.
Technologies: Fundraising, Technical Hiring, Data Science, Computer Vision, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Databases, Machine Learning, Investor Presentations, Data Visualization, Pitch Decks, Storytelling, Business Strategy, Go-to-market (GTM) Strategies, Go-to-market Plans, Artificial Intelligence (AI), Business Models, Startups, Apps

VP of AI Engineering

2017 - 2022
doc.ai (acquired by Sharecare)
  • Joined the company as the sixth employee and worked closely with the CEO, COO, and CTO. I built key technologies that directly led to the engagement with Anthem and the acquisition, which included digital clinical trials, operations, and medical CVs.
  • Managed a team of 40+ people and worked closely with Anthem to deliver a $100+ million contract. This contract led to Sharecare acquiring doc.ai.
  • Grew and managed a bioinformatics team to develop doc.ai's first genomics processing pipeline.
Technologies: Statistics, Technical Hiring, Deep Learning, Big Data, Apache Spark, Computer Vision, HL7 FHIR Standard, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Databases, Consulting, Machine Learning, Data Visualization, Pitch Decks, Storytelling, Business Strategy, Go-to-market (GTM) Strategies, Go-to-market Plans, Artificial Intelligence (AI), Business Services, Startups, Apps

Senior Data Scientist

2017 - 2018
Better Doctor (acquired by Quest Analytics)
  • Deployed Apache Spark with Apache EMR and Databricks for K-Means, LDA clustering with a proprietary set of features.
  • Built a data team to drive R&D at BetterDoctor, focusing on anomaly detection using ontological approaches.
  • Developed guidelines and roadmaps for business intelligence using Redshift, Looker, Spark, and PostgreSQL.
Technologies: MongoDB, Machine Learning, Databases, Data Visualization, Go-to-market (GTM) Strategies, Go-to-market Plans, Artificial Intelligence (AI), Startups, Apps

Experience

Smart Omix

https://www.sharecare.com/research/smartomix
Developed the initial technology and prototype for Smart Omix, a decentralized smartphone-based solution for real-world research. It is an all-in-one, scalable solution that empowers pharmaceutical and life science researchers to build, launch, manage, and analyze clinical studies. As a participant-centric mobile app, it gathers patient-reported and generated data.

I created the app and launched the first two trials on the platform while collaborating with Harvard University, Stanford University, and Anthem. I also expanded the data engineering team to continue to manage, maintain, and support the growing product.

Rune by Hammer Of The Gods

https://github.com/hotg-ai/rune
Rune is a core piece of Hammer Of The Gods' technology built in Rust and WebAssembly. It allows developers to create TinyML applications as containers, similar to Docker but on a much smaller scale. It is an orchestration tool for specifying how data should be processed, with an emphasis on machine learning, in a portable and robust way.

I built an initial prototype of Rune, raised funding, and recruited a team of security, Rust, and embedded software within two years.

The primary purpose of a Rune is to give developers working in machine learning and data processing a way to declare how data should be transformed using a high-level, declarative language. Creating a Rune file that defines each processing step and defers their implementation to the Rune runtime replaces the need to write code that manipulates data or requires interaction with complex third-party libraries to receive inputs. This process handles interaction with the outside world and can leverage existing third-party libraries for data manipulation.

Health OS for Anthem

Health OS for Anthem is a digital platform that helps untangle complex healthcare processes. It brings together all care stakeholders, patients' siloed health data, and best-in-class solutions to empower a more informed, data-driven provider in making decisions. Health OS simplifies and enhances the patient experience, streamlines administrative tasks, and improves the transition to value-based care.

I explored innovative solutions for Anthem, doc.ai's customer. I was involved in designing and building the first version of Health OS and growing the team internally with the goal of Anthem taking over.

Education

2011 - 2013

Master's Degree in Biomedical Engineering

Western University - London, ON, Canada

2005 - 2011

Bachelor's Degree in Software Engineering

Western University - London, ON, Canada

Skills

Tools

Slack, Zoom

Paradigms

HL7 FHIR Standard, Agile

Languages

Rust

Frameworks

Apache Spark, gRPC

Platforms

Mobile

Storage

Databases, MongoDB

Other

Computer Vision, Medical Software, Data Science, Data Engineering, Big Data, Technology Strategy & Architecture, Fundraising, Business Strategy, Storytelling, Computer Science, Operating Systems, Hybrid Cloud Infrastructure, Claims Processing, Generative Pre-trained Transformers (GPT), Natural Language Processing (NLP), Consulting, Machine Learning, Investor Presentations, Data Visualization, Pitch Decks, Go-to-market (GTM) Strategies, Go-to-market Plans, Artificial Intelligence (AI), Business Models, Business Services, Startups, Technical Hiring, Apps, Statistics, Deep Learning, Cloud, Digital Health, Mobile UX, Open Source, Containers, WebAssembly (Wasm), Healthcare IT, Medical Coding

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