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Kyle Archie Email & Phone Number

Machine Powered Problem Solver at NYC Department of Correction
Location: Brooklyn, New York, United States 12 work roles 2 schools
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Role
Machine Powered Problem Solver
Location
Brooklyn, New York, United States

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Kyle Archie is listed as Machine Powered Problem Solver at NYC Department of Correction, based in Brooklyn, New York, United States. AeroLeads shows a matched LinkedIn profile for Kyle Archie.

Kyle Archie previously worked as Assistant Commissioner of Operations Research at Nyc Department Of Correction and AI/ML Principal, Founder at Slokie. Kyle Archie holds Masters Of Engineering, Mechanical Engineering, Specialization In Systems Engineering from Cornell University.

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NYC Department of Correction

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About Kyle Archie

I'm a systems engineer/architect with a specialization in optimization and applied machine learning with engineering degrees from Cornell University and two decades of both project and staff management in companies of varying sizes. I like getting my hands dirty... I'll write my own code (Python's my strongest language), do unit testing prior to deployment, and help out wherever it's needed. I also have experience designing and deploying serverless machine learning-powered apps on GCP, as well as on dedicated servers. I believe the best managers are the ones who see their job as acting as agents for their teams and have a broad skill set that lets them pitch in and help out on the critical path tasks, while deferring to the specialists and subject matter experts. As an entrepreneur who's founded two startups and a consultant with over a decade of experience at bigger companies, I also have significant experience in a myriad of executive functions ranging from marketing to customer service and finance.But while I'm comfortable enough designing and running ad campaigns or writing customer service center scripts and decision trees, my core strengths are technical. I have over 15 years of technical experience building complex simulations, utilizing optimization algorithms (Newton's method, etc.), performing rigorous statistical and machine learning-powered analysis and programming in Python, Matlab, R, and Julia, as well as designing and conducting experiments and pilot studies using everything from sensors to customer surveys. Heavy experience with computer vision (both using older algorithms as well as CNN-based), reinforcement learning, particularly with Google’s Dopamine and OpenAI’s Baseline libraries, as well as building neural networks from scratch using TensorFlow, including Adversarial Networks.

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Kyle Archie's current company

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NYC Department of Correction
Nyc Department Of Correction
Machine Powered Problem Solver
AeroLeads page
12 roles · 24 years

Kyle Archie work experience

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Assistant Commissioner Of Operations Research

Current

East Elmhurst, Ny, Us

I'm leading the operations research team, where we use statistical analysis, machine learning, modeling, simulation, and optimization to drive decision-making and build new automated systems. Our team is specifically working on driving down violence and costs while working to improve recidivism via policy and operational analysis. My team's already amazing, and I hope I can help amplify the great work they've already been working on to affect some real, meaningful change.

Nov 2023 - Present

Ai/Ml Principal, Founder

Current

As a parent, one of my favorite times of day is when I get to put my children to bed. My daughter would always request that I tell her a story, and of course, it had to have her as the star! This sparked an idea for me. What if I could write a book that would let anyone make their child into the hero of the story?At Slokie, we create personalized children's books. Well, one book for now, but more are coming soon. But what sets us apart from others in this space is that we don't use generic avatars that only loosely resemble your child. Instead, we use advanced technology, such as deep learning and various computer vision techniques to draw your kid right into their own unique superhero origin story involving faeries and trolls! And our stories also follow the classic fairy tale formulae, with life lessons and morals conveyed by each story.Check us out today, at Slokie.com!

May 2021 - Present

Founder

Mountain View, Wy, Us

I worked on several early stage ideas to find my next business idea. Three of them seemed to have potential, so I pursued building an MVP for each. The first was an automated stock trading system built with reinforcement learning techniques on top of my own custom OpenAI Gym environment I developed. I had done thousands of years worth of modeled backtesting and was actually live-testing this when the pandemic hit. It did not handle that early market dip well, so I decided to put it on the back burner until some new algorithms that generalize better come along. The second concept was an AI coach for sports training. I won't get into too many details on this because I do plan to come back to this one as well, and it's easier to reproduce than my trading system. I will say that I used a lot of human activity detection and LSTM/CNN architectures to build a prototype with TensorFlow lite and Kotlin that ran on Android. The third project is what became Slokie.

Sep 2017 - Apr 2021

Senior Program Consultant

Austin, Texas, Us

Client facing role where I worked with key clients to evaluate potential program changes using engineering calculations and statistical analysis of big data sources. I also did fair amount of experiement design, A/B testing, and pilot program evaluation with multivariate statistical models. And I led the day to day operations of some of these pilots.

May 2016 - Sep 2017

Senior Project Manager

Austin, Texas, Us

Managed pilot studies on behalf of key clients in order to assess the viability of new program structures. Oversaw project teams to perform supporting statistical analysis and evaluate programmatic changes.

Jul 2015 - May 2016

Senior Project Manager

Westborough, Ma, Us

Conducted ongoing analysis of program performance for key utility / government clients and made suggestions about changes to policy rules based on this analysis. An example was a geospatial multivariate analysis I did on the cost effectiveness and carbon footprint of air source heat pumps based on local weather data, the fuels used by nearby power plants, lab test data of various heat pumps (from the National Renewable Energy Lab), building and census data about local housing stocks, and the cost of regional electricity to end-use customers.

Jul 2014 - Jul 2015

Project Manager

Westborough, Ma, Us

Project management and analysis for governmental and utility clients. Gantt charts, critical path analysis, statistical project performance analysis (using SQL), and viability studies of new technologies to inform both new program design and changes to existing policy.

Jun 2012 - Jul 2014

Program Operations Manager

Westborough, Ma, Us

Managed a team of professionals working primarily on utility energy efficiency programs.

May 2011 - May 2012

Technical Field Manager - Nyc

Westborough, Ma, Us

Managed staff of technical field representatives. Provided technical expertise and wrote field protocols for multiple NYS energy efficiency programs.

Apr 2010 - May 2011

Owner

Varna Energy Solutions

I founded a start-up green consulting company for residential homeowners and managed all aspects of running this business, from running the online marketing campaign via Google Ads to making sales calls, hiring and training staff, book keeping and filing quarterly sales taxes. When I first started Varna, I had several misconceptions about the market. I'd learned about heat pumps in college and believed there was a huge market opportunity to start installing those in homes. At the time, Air Source Heat Pumps weren't yet efficient enough for cold climates, so I was focused on Ground Source Heat Pumps (this is no longer the case), which are expensive, but within the price range of many homeowners in Westchester County, an affluent suburb of NYC. I quickly learned after sizing some these systems, however, that that their installation cost would cheaper overall by doing shell improvements (insulation / air sealing). So, I started putting together a network of other contractors and, over time, I developed and implemented a new business model to streamline the project management aspects of these sorts of retrofits via web-based information-sharing tools that draw from the data collected during energy audits (along with pictures / video) to expedite quoting and work scope design, while eliminating the need for multiple site visits with subcontractors. I became a general contractor, and my time became completely consumed with project management at the expense of what I'd originally envisioned as the core business. My hours skyrocketed, and my revenue became limited by the hours in my day. I started hiring, but ultimately I had a difficult time scaling the business and didn't really see a way to grow the business to a national brand. If I could go back in time with what I know now, I think I could, but needed the benefit of my subsequent experience.I ultimately closed the company to join CSG. I was profitable and debt free when I closed the business.

2007 - Apr 2010

Systems Engineer

Visitech, Ltd

Performed high-level systems engineering support to the United States Navy, such as requirements analysis. I also developed a high-resolution Environment Representation model for the Probability of Raid Annihilation (PRA) Testbed project, which sought to decrease the costs of live fire testing by supplementing with highly accurate software simulations. As part of the PRA Testbed project, I also worked directly on the environment representation model. I derived large 3D geospatial datasets of interpolated environment data from real world weather stations / models, and added in the evaporative duct models using the equations provided by our lead scientists.

2005 - 2007 ~2 yrs

Engineer

Groton, Connecticut, Us

Performed structural analysis on the port payload upgrade to the USS Jimmy Carter Seawolf-Class nuclear submarine. Designed new software to increase the productivity of my position

2003 - 2003
2 education records

Kyle Archie education

Masters Of Engineering, Mechanical Engineering, Specialization In Systems Engineering

Cornell University

Bachelor Of Science, Mechanical Engineering

Cornell University
FAQ

Frequently asked questions about Kyle Archie

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What company does Kyle Archie work for?

Kyle Archie works for NYC Department of Correction.

What is Kyle Archie's role at NYC Department of Correction?

Kyle Archie is listed as Machine Powered Problem Solver at NYC Department of Correction.

Where is Kyle Archie based?

Kyle Archie is based in Brooklyn, New York, United States while working with NYC Department of Correction.

What companies has Kyle Archie worked for?

Kyle Archie has worked for Nyc Department Of Correction, Slokie, Stealth Startup, Clearesult, and Conservation Services Group.

How can I contact Kyle Archie?

You can use AeroLeads to view verified contact signals for Kyle Archie at NYC Department of Correction, including work email, phone, and LinkedIn data when available.

What schools did Kyle Archie attend?

Kyle Archie holds Masters Of Engineering, Mechanical Engineering, Specialization In Systems Engineering from Cornell University.

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