The Tech Trek

The Tech Trek

By ElevanoTechnology
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The Tech Trek episodes

  • Leveraging his military management experience and transitioning from the military to the private sector with Chris Ham, Engineering Operations Manager at Novantas.

    Meet: Chris Ham is the Engineering Operations Manager and Chief of Staff to the CTO at Novantas. He is responsible for DevOps, Cloud/on-prem implementation and integration, the interface between Engineering and Infrastructure, and Big-data infrastructure.

    Chris’s career path has focused on blending leadership and deep technical expertise. His CV includes:

    -Continued service, including a deployment, as an officer in the US Navy Reserve

    -A background in corporate Tech Ops finance

    -Work as a quant in the bank treasury/risk space

    What you’ll learn:

    Leveraging his military management experience

    Partnering with DevOps and the strategic technology roadmap

    Transitioning from the military to the private sector

    If you have any questions for  Chris, please feel free to reach out via LinkedIn:

    https://www.linkedin.com/in/christopher-l-ham/

    20 min
  • Culturally additive hires, hiring people for the right context, and adjusting to a fully distributed engineer org with Maria Latushkin, CTO at Omada Health.

    Meet: Maria Latushkin is responsible for leading Omada Health’s technology vision and team.

    Prior to joining Omada Health and moving to the healthcare space, Maria has spent over 15 years in eCommerce, retail, and enterprise SaaS companies ranging from series B startups to large companies, such as Walmart.

    What you’ll learn:

    Don’t hire for culture fit, make culturally additive hires

    Hiring people for the right context for your environment or stage of growth

    Signals that you might need to add process to your org

    Adjusting style and process in supporting a fully distributed engineering org

    If you have any questions for Maria, please feel free to reach out via LinkedIn:

    https://www.linkedin.com/in/maria-latushkin-799700/

    31 min
  • Setting up your startup’s legal entity and evaluating equity in a job offer with Greg Miaskiewicz, Co-founder of Capbase

    Meet: Greg Miaskiewicz, CEO & Co-Founder at Capbase, a startup building legal & financial tools for startups. Previously, CEO & Co-Founder of Swarm, a bot detection startup, which exited to Integral Ad Science in 2016. Greg has over a decade of experience working at early-stage Silicon Valley startups in product, engineering, and design roles.

    What you’ll learn (disclaimer - this is not legal advice):

    Avoiding pitfalls in forming your startup’s legal entity

    Implications of incorrectly setting up your entity

    What to look for in evaluating equity as apart of a job offer

    If you would like to reach out to Greg about anything he discussed on the podcast, please reach out to him via:

    https://twitter.com/miaskiewicz

    https://www.instagram.com/miaskiewicz/

    https://www.linkedin.com/in/miaskiewicz/

    35 min
  • Talking about the growth of AI in healthcare with Sanji Fernando, SVP Artficial Intelligence & Analytics Platforms at Optum

    Meet:  Sanji Fernando is a senior vice president at Optum, where he leads the Artificial Intelligence (AI) and Analytics Platforms team for Optum Enterprise Analytics (OEA).  He is responsible for developing platforms that support the design and development of leading-edge AI models and analytic tools for the enterprise.

    Previously, Sanji was a vice president at OptumLabs and led the OptumLabs Center for Applied Data Science (CADS).  The CADS team applied breakthroughs in AI and machine learning to solve complex health care challenges for UnitedHealth Group (UHG) by developing and deploying software product concepts. CADS pioneered using deep learning to streamline administrative processes in revenue cycle management and developed graph analytics tools to support provider network design, among other innovations.

    Sanji joined OptumLabs in 2014 from Nokia, where he created Nokia’s first data science team.  His team launched the first big data computing cluster at Nokia, using cluster derived insights on user activity and engagement to design new product concepts.  Before that, Sanji spent 9 years at Nokia in a variety of corporate roles with Nokia’s Multimedia Division, Nokia Research Center, and Nokia Ventures.

    Prior to Nokia, Sanji was a co-founder and VP of Engineering at Vettro, a venture-backed mobile software company.  Sanji began his career in consulting with Viant and Accenture.

    Sanji is a graduate of Trinity College with a bachelor’s degree in computer science.  He lives in the Boston area with his wife and their three boys.  In his free time, Sanji enjoys coaching his sons in basketball and baseball.   He also serves on the board of his local Little League.

    What you’ll learn:

    Evaluating the value of AI solutions

    Growth of AI in the healthcare space

    Establishing short and long term goals

    Sanji mentioned our annual survey on AI in health care and we recently shared the findings from our 3rd annual survey; we have both a press release and special report on that.

    If you would like to reach out to Sanji about anything he discussed on the podcast, please reach out to him via:

    https://www.linkedin.com/in/sanjifernando/

    27 min
  • Career advice for data analysts and scientists to keep growing and building diverse data teams with Marick Sinay, the Head of Data Science and Analytics at Aspiration

    Meet: Marick S. Sinay, Ph.D. is Vice President Head of Data Science and Analytics for Aspiration. Dr. Sinay has been in the broader financial services industry in various quantitative financial modeling and data science roles. He has experience working at large financial institutions, Bank of America and Western Asset Management, as well as at FinTech startups in the Los Angeles area. Dr. Sinay has successfully hired and led teams of data scientists, data analysts, and data engineers to drive business intelligence and advanced predictive analytics using machine learning to solve enterprise initiatives. He has a Ph.D. in Statistics and Applied Probability, Masters in Statistics, and a Masters in Economics from the University of California Santa Barbara.

    What you’ll learn: 

    Career advice - tips and advice for analyst and data scientists to grow

    Building data teams - do’s and don’ts to building a successful diverse team


    24 min
  • Unlocking the data that is in your documents, videos, and images with Ankur Goyal, Co-founder and CEO of Impira

    Meet:  Ankur Goyal is the co-founder and CEO of Impira. previously built and scaled the engineering team at MemSQL as employee #2 and VP of Engineering. Ankur received his B.S. in Computer Science at Carnegie Mellon's School of Computer Science. He also holds several patents in database technology.

    What you’ll learn:

    Extracting more value out of documents

    Helping companies automate their paper processes to digital

    Getting an AI project into production and the related ROI

    Talking about a new feature that allows someone to extract information from any doc through the UI

    If you would like to reach out to Ankur about anything he discussed on the podcast, please reach out to him via:

    https://twitter.com/ankrgyl?lang=en

    https://twitter.com/impirahq

    https://www.linkedin.com/in/ankrgyl/

    27 min
  • Introducing Apache Airflow 2.0 - talking about the major new features with Ash Berlin-Taylor and Kaxil Naik

    Meet:

    Ash Berlin-Taylor is an active committer and member of the PMC for Apache Airflow and Director of Airflow Engineering team at astronomer.io. Before getting involved with Airflow he spent many years working in (web) infrastructure

    Kaxil Naik is currently the Committer, PMC Member, and Release Manager of Apache Airflow. He is also the Manager of Airflow Engineering team @ Astronomer. He did his Masters in Data Science & Analytics from Royal Holloway, University of London.

    What you’ll learn:

    Major features in the upcoming Airflow 2 release

    Upgrade path and compatibility

    What the team might be working on in future releases

    Learn more about the upcoming release: https://www.astronomer.io/blog/introducing-airflow-2-0

    If you would like to reach out to Ash or Kaxil about anything they discussed on the podcast, please reach out to them via:

    https://twitter.com/kaxil

    https://www.linkedin.com/in/kaxil/

    https://twitter.com/ashberlin

    31 min
  • Mentoring vs coaching, leadership through influence, and importance of messaging and tone with Mike Bennett, Director of Enterprise Digital Farming at Climate Corp

    Meet:  Mike Bennett, Director of Enterprise Digital Farming at Climate Corp - Bayer Crop Science.  Responsible for Enterprise data governance and new business models.

    What you’ll learn:

    Mentoring vs coaching

    Leadership through influence

    Importance of messaging and tone

    If you would like to reach out to Mike about anything he discussed on the podcast, please reach out to him via:

    https://www.linkedin.com/in/michaelsbennett

    https://twitter.com/MikeSBennett

    31 min
  • Getting the feedback cycle early, having a deep interest in product, and embedded data science teams with Doug Puett, Head of Data Science at UserTesting

    Meet: Doug Puett is the Head of Data Science at UserTesting. UserTesting has the world’s greatest data source on how user research is done. Prior to joining UserTesting, Doug worked at a startup that was acquired by LinkedIn. He has an MS degree from Columbia and a Bachelor’s from Cornell.

    What you’ll learn:

    Getting the feedback cycle started early

    Having a deep interest in product

    Matrixed embedded data science teams

    If you have any questions for Doug, please feel free to reach out to him via LinkedIn:

    https://www.linkedin.com/in/dougpuett/

    27 min
  • Taking advantage of innovation and advice if you want to get into data science with Marian Farah, Manager Experiments and Optimization at Zymergen

    Meet:  Marian manages the Experiments and Optimization team at Zymergen. She spent the last ten years building data science solutions for problems in remote sensing, epidemic modeling, weather science, ag-tech, and now in synthetic biology.

    What you’ll learn:

    Taking advantage of innovation

    Relationships with science and product teams

    Advice if you want to get into data science

    If you would like to get in touch with Marian regarding anything discussed on this episode, please connect via:

    https://twitter.com/bayesiangirl

    25 min

About The Tech Trek

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The Tech Trek is a podcast about how founders, operators, and technology leaders build and scale technology companies.