Kerri Rapes Email & Phone Number

Spencerville, In, Us

San Francisco, California, Us

Warren Buffett calls cybercrime the biggest problem facing humanity - a threat exceeding nuclear weapons.The answer lies in fighting fire with fire through AI counterforce.TRUSTBYTES is that enabler for CISOs - an advanced AI system augmenting human experts to proactively remediate cyber threats before damage occurs.

San Francisco, Ca, Us

As stewards of a unified financial dataset consisting of over 3.3 billion individuals throughout Africa, Pngme has raised $15M in Series A funding. Their mission is to leverage data infrastructure and machine learning to provide better risk prediction services to financial institutions and ultimately expand access to capital to millions of Africans.As advisor to the C-suit I work with the executive team to discuss product design, market strategy, and software execution.

OceanGuarda is an innovative technology startup revolutionizing the salmon industry through advanced monitoring software. Our mission is to aid in the restoration and preservation of the ocean floor, a critical component of marine ecosystems. Utilizing cutting-edge technology, OceanGuarda provides real-time data and analytics to monitor the equipment and processes involved in ocean floor recovery. Our solutions are designed to be intuitive and accessible, ensuring seamless integration for businesses in both English and Spanish-speaking communities. We are committed to advancing environmental stewardship, fostering sustainable practices, and supporting the health and prosperity of oceanic environments. OceanGuarda is more than just a technology provider; we are partners in creating a more sustainable and balanced marine ecosystem.

Washington, Dc, Us

Currently, I’m working to develop our data program. I spend a lot of time questioning what parts about our system cause it to be slow or difficult to make data-driven decisions and then working through roadmap options that would better position us. Currently, I’m heavily involved in: - Risk - Our Anti-fraud team. This team leverages Data Science to identify and stop bad actors from committing fraud on our platform. - Data Foundation - Our Data Engineering team. This team is working hard to bring different (previously siloed) data sources together and build the capabilities like data quality checks, data reconciliation, data modeling, BI support, ML modeling, and more to enable other teams to be more data driven.

Washington, Dc, Us

If you’ve ever seen The Tinder Swindler, FYRE, or The Wizard of Lies you know fraud is an infinitely repeating social struggle that leaves the most vulnerable to pay the price. The Risk team at Sendwave builds and supports everything needed to aggregate the individual fraud cases and stop the scheme from ever being lucrative for the fraudster. This includes integration of vendor tools, training new fraud/anomaly detection algorithms, supporting our risk operations teams, and improving our monitoring capabilities. My job was to take the anti-fraud program from a young startup rule base engine to an expandable and scalable anti-fraud program with clear KPIs, solid infrastructural foundations, established hiring/onboarding pipelines, and top notch data science advances.

Las Condes, Región Metropolitana De Santiago, Cl

Odd Industries considers itself a data-driven company and as CDO I am in charge of taking care of that data. I work with my team of 3 engineers, 4 data scientists, and 1 annotations supervisor to build robust cloud solutions from the IoTs to the web page. My responsibilities include assuring data quality and correctness, writing complex queries for our data warehouse, designing platform architecture in a cost-effective manner to move 1TB+ of data, assisting data scientists in troubleshooting difficult tasks, and performing any ad-hoc analysis that need to be done outside of a sprint.

Las Condes, Región Metropolitana De Santiago, Cl

Tasked with the challenge of combining data from six unique companies and using the power of their combined knowledge to predict future purchase behaviors. This project brought together multiple facets of design from user stories and on-site field trips to intense cloud architecture and data engineering design necessary to unite multiple databases from six companies into one central data lake. The final product uses interactive dashboards to report purchases, sales, margins, profits, abnormal purchases orders, automatic segmentation, and segmentation health all on both the company level and conglomerate level. Finally, the centerpiece of the platform is a purchase event prediction model that not only retrains itself every 500 new data points but uses machine learning to select the algorithm and hyperparameters for that model. It’s Artificial Intelligence building Artificial Intelligence in an unprecedented way.

San Mateo, California, Us

Led a very skilled team of 8 inside a department of approximately 50 engineers on an innovation project to artificially enhance human recall. The client was a "Human Resources as a Service"company that had the opportunity to expand its market share but struggledto find the human capital necessary.Using a combination of AWS services and proprietary IP we constructed a solution that improved the efficiency of the existing HR professionals. Thanks to the hard work and effectiveness of the team we launched the first production MVP in 30 days and continued to iterate closely with theclient afterward.

San Mateo, California, Us

Supported a human to machine-impersonating-human system that worked as an integrated "assistant" to our clients' sales and customer service teams.The assistant held multi-node conversations (4-10 branches per node, 1-6 steps per conversation) with humans on a massive scale and reported back the results to our clients.

Puerto Varas, Región De Los Lagos, Cl

Built a serverless solution for a young startup distributing IoT sensors.The client collected water level measurements from extremelyisolated reservoirs in southern Chile.After collection, we preprocessed data, systematically removed outliers,modeled behavior and generated a report all for under $0.50 USD permonth.A write up about some of the challenges is here:https://medium.com/@kerri.rapes/average-is-not-sum-count-3e35ad4e4fa?source=friends_link&sk=768721134da1dff53d93876c2d0a27ec

Houston, Texas, Us

•Responsible for pre-job planning and mobilization• Proficient in services relevant to well borehole directional steering and logging• Certified ‘competent’ with regards to technical equipment’s implementation, operation, and interpretation• Responsible for training, and mentoring junior engineers or specialists following the equipment training program requirements

Fort Wayne, In, Us

• Collaborated with R&D engineers to create manufacturing procedure for the customer• Developed skills in nesting, programming, and forecasting projects• Designed in-house infrastructure for LEAN manufacturing project in conjunction with company architect

• Lead daily excursions for six to eight individuals safely down a class III-IV river• Provided entertaining narrative of local attractions and dangers• Managed equipment, maintained grounds, and tended to miscellaneous office duties

Fort Wayne, In, Us

• Collaborated with R&D engineers to create manufacturing procedure for the customer• Developed skills in nesting, programming, and forecasting projects• Designed in-house infrastructure for LEAN manufacturing project in conjunction with company architect

Chicago, Illinois, Us

• Responsibilities include preparing food, provide customer service, and team support

Fort Wayne, In, Us

• Assisted with customer projects, planning phases, troubleshooting sessions• Created scale drawings, instructions, and addendums utilizing DATACAD• Assisted with other additional office duties and organizational projects

Core Executive Education Program, Business Administration And Management, General

Nanodegree In Machine Learning, Machine Learning

Mechanical Engieering, Engineering

Honors Diploma, Technology Track