“I worked with Chris at PHC Global can confidently say he stands out as both a strong technical architect and an effective, people-first leader. What I appreciated most was his balance of deep technical insight coupled with his open, collaborative leadership style. He has a strong grasp of software design principles and designing scalable, maintainable solutions. But what really set him apart was his willingness to share that knowledge, encouraging experimentation, prototyping, and continuous learning along the way. Chris was consistently approachable and fair. He created an environment where feedback flowed in both directions, and ideas were welcomed, no matter where they came from. He was always looking for ways to push the envelope and innovate, but never at the expense of fairness, equity or purpose. If you’re looking for a technical leader who not only builds great systems but also builds up the people around him, Chris is exactly that person.”
About
Chris graduated with highest honors from Indiana University with a double major in…
Activity
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If the employee badge I wore on my belt could talk, it would have countless stories to share. After all these years, it has faded, weathered, and…
If the employee badge I wore on my belt could talk, it would have countless stories to share. After all these years, it has faded, weathered, and…
Liked by Chris Latko
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Five years ago, we saw how fragmented and manual the foundations of trust were. Spreadsheets for risk, screenshots for audits, questionnaires…
Five years ago, we saw how fragmented and manual the foundations of trust were. Spreadsheets for risk, screenshots for audits, questionnaires…
Liked by Chris Latko
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I’m thrilled to share that I’ve joined Wayve as VP of AI for Simulation, Evaluation, Validation, & Data. Wayve is building physical AI that learns…
I’m thrilled to share that I’ve joined Wayve as VP of AI for Simulation, Evaluation, Validation, & Data. Wayve is building physical AI that learns…
Liked by Chris Latko
Experience
Education
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Indiana University Bloomington
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Activities and Societies: Japan Society
Graduated with Honors (GPA: 3.83)
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Patents
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Normalizing Ingested Signals
Issued US 10,324,948 B1
See patentThe present invention extends to methods, systems, and computer program products for normalizing ingested signals. In general, signal ingestion modules ingest different types of raw structured and/or raw unstructured signals on an ongoing basis. The signal ingestion modules normalize raw signals into normalized signals having a Time, Location, Context (or "TLC") dimensions. A Time (T) dimension can be a time of origin or alternatively "event time" of a signal. A Location (L) dimension can be…
The present invention extends to methods, systems, and computer program products for normalizing ingested signals. In general, signal ingestion modules ingest different types of raw structured and/or raw unstructured signals on an ongoing basis. The signal ingestion modules normalize raw signals into normalized signals having a Time, Location, Context (or "TLC") dimensions. A Time (T) dimension can be a time of origin or alternatively "event time" of a signal. A Location (L) dimension can be anywhere across a geographic area, such as, a country (e.g., the United States), a State, a defined area, an impacted area, an area defined by a geo cell, an address, etc. A Context (C) dimension indicates circumstances surrounding formation/origination of a raw signal in terms that facilitate understanding and assessment of the raw signal. The Context (C) dimension of a raw signal can be derived from express as well as inferred signal features of the raw signal.
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Ingesting Streaming Signals
Issued US 10,257,058
See patentThe present invention extends to methods, systems, and computer program products for ingesting streaming signals. Signal ingestion modules sample a plurality of frames contained in a raw streaming signal. The signal ingestion modules separate the raw streaming signal into a plurality of segments. It is determined that content in the plurality of sampled frames indicates a possible event type. The signal ingestion modules replay a segment, from among the plurality of segments, in response to…
The present invention extends to methods, systems, and computer program products for ingesting streaming signals. Signal ingestion modules sample a plurality of frames contained in a raw streaming signal. The signal ingestion modules separate the raw streaming signal into a plurality of segments. It is determined that content in the plurality of sampled frames indicates a possible event type. The signal ingestion modules replay a segment, from among the plurality of segments, in response to determining the indicated possible event. The content of the segment is inspected during replay of the segment. The possible event type is confirmed or not confirmed as an actual event type based on the inspection. When confirmed, a context dimension of the streaming signal is updated to include the event type.
Projects
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Phoobox
- Present
See projectAn MVC approach to the traditional Fusebox framework. This is based off of the Coldfusion 3.x variety with an emphasis on separating logic into classes. "act_" files still exist, but are mostly for constructing and manipulating objects from a class library.
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Lockerz/iHeartRadio Integration
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See projectAdded ability for Lockerz users to attach their existing or new iHeartRadio account to their Lockerz account. Once the integration occurs, station synchronization occurs to maintain both accounts. Lockerz users can then listen to their stations while viewing the Lockerz website.
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AIDSspace
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See projectDeveloped a social networking site for AIDS-related organizations via a UNAIDS initiative. We completed a highly complex project in short order and to specifications to allow Kofi Annan to present the site to the UN on schedule.
Honors & Awards
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Globality Hackathon 2020 Winner
Globality
Won first place in the annual Globality Hackathon.
Languages
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Japanese
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Recommendations received
47 people have recommended Chris
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