# Taylor Gaito > Software Engineer @ Kalshi Location: New York, New York, United States Profile: https://flows.cv/taylorgaito Software engineer at Bloomberg, recent grad from Johns Hopkins University with BAs in Computer Science and Cognitive Science. Bioinformatics experience from the UPMC Hillman Cancer Center and computational neuroscience experience from the University of Pittsburgh. At the JHU Applied Physics Lab, performed CV algorithm error correction and developed a video game. Fullstack experiences with Kelahealth and Publicis Sapient. TA for PhD level Neural Networks class with Paul Smolensky. Main interest is why and how humans have consciousness. How might we use computers and intelligent systems to understand consciousness better? ## Work Experience ### Software Engineer @ Kalshi Jan 2026 – Present | New York, NY Core exchange. Go, Rust, Kafka, PostgreSQL, AWS, Docker, DataDog ### Software Engineer @ Bloomberg Jan 2024 – Jan 2026 | New York, NY Realtime + high throughput latency and correctness engines for market data. C++, Python, Scala, Kafka, Flink, Spark, Humio, Grafana, Docker ### Teaching Assistant - Neural Networks @ The Johns Hopkins University Jan 2024 – Jan 2024 | Baltimore, MD Mathematical neural network theory under Paul Smolensky. Taught Monday classes to Cognitive Science PhDs as undergraduate senior. Python, Pytorch, Mathematical Logic, Linear Algebra, Backprop., Optimality + Harmony Theory, Training + Optimization. ### Software Engineer @ Publicis Sapient Jan 2023 – Jan 2023 | New York, United States GenAI ad automation for McDonalds. OpenAI API, GraphQL, React, Llama, K-means + clustering ### Software Engineer (Startup) @ KēlaHealth Jan 2022 – Jan 2023 Fullstack. Created predictive analytics surgeon dashboard, powered by personalized risk AI model. Javscript, Node, Figma, React, Docker, AWS. ### Connectomics and Game Development Intern @ The Johns Hopkins University Applied Physics Laboratory Jan 2021 – Jan 2023 | Laurel, MD Data analysis using largest cortical mouse segment (IARPA MiCRONS). Developed video game to crowdsource proofreading. Python, Pandas, C#, Unity, Blender, Computer Vision, ML Error Correction ### Research Intern @ University of Pittsburgh Jan 2021 – Jan 2021 | Pittsburgh, PA Neuronal analysis of auditory learning tasks in mice under Dr. Michelle Insanally. Analysis pipelines for ephys. data. Corrected electrical rig anomalies. Python, Matlab, Kilosort, Data Analysis + Pipelines. ### Mobile Phones Sales Associate @ Best Buy Jan 2020 – Jan 2020 | Pittsburgh, PA Sold. ### Hillman Academy Intern @ UPMC Hillman Cancer Center Jan 2019 – Jan 2019 | Pittsburgh, PA Single Cell RNA Sequencing of tumor cells under Dr. Uma Chandran. Machine learning + data analysis to examine hyperparameter tunings. Python, Machine Learning, Data Pipelines + Analysis, Bash Scripting ## Education ### Bachelor of Arts - BA in Computer Science The Johns Hopkins University ### Bachelor of Arts - BA in Cognitive Science The Johns Hopkins University ### Thomas Jefferson High School ## Contact & Social - LinkedIn: https://linkedin.com/in/taylor-gaito --- Source: https://flows.cv/taylorgaito JSON Resume: https://flows.cv/taylorgaito/resume.json Last updated: 2026-04-13