Nicholaus Halecky
About
Nicholaus Halecky is from Reno, Nevada, United States. Nicholaus works in the following industries: "Computer Software", "Internet", "Renewables & Environment", "Higher Education", and "Research". Nicholaus is currently ML Engineering Manager at Twitter, located in Reno, Nevada, United States. In Nicholaus's previous role as a VP Data Science at Bombora, Nicholaus worked in Reno, Nevada Area until Apr 2021. Prior to joining Bombora, Nicholaus was a VP Engineering (Interim) at Bombora and held the position of VP Engineering (Interim) at New York, New York, United States. Prior to that, Nicholaus was a Data Science Director at Bombora, based in Reno, Nevada Area from May 2016 to Jan 2019. Nicholaus started working as VP Modeling and Analytics at MelRok Corporation in Orange County, California Area in May 2013. From Oct 2010 to Dec 2011, Nicholaus was Quantitative Modeler at Green and White Consultancy, based in Buenos Aires, Argentina. Prior to that, Nicholaus was a Graduate Student Instructor at Department of Nuclear Engineering, University of California, Berkeley, based in San Francisco Bay Area from Aug 2009 to Dec 2009. Nicholaus started working as Graduate Student Researcher at Lawrence Berkeley National Laboratory in San Francisco Bay Area in Jun 2003.
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Nicholaus Halecky's current jobs
Leading ML Eng Account Integrity team, part of Twitter Health Organization.
Nicholaus Halecky's past jobs
Bombora Data Science develops and maintains ML systems to generate insights about organizations’ behavior from web content consumption at-scale, providing core functionality for Bombora’s data products. Lead Bombora data science (7 ICs, 3 interns) and engineering (indirectly) to: • Deliver core systems: develop ML systems in NLP, entity resolution, and company topic-interest anomaly detection on modern tech stack (GCP, Spark, Fasttext / PyTorch, Airflow). Batch and streaming pipelines ETL, predict and enrich ∼1B events ( 0.5Tb) per day. Seven production models. • Provide strategic analysis: guide and advise Bombora to leverage our data, determine its value, and understand external (sources and macroeconomic) impact on it. • Evangelize + Educate: establish concepts and best-practices around the creation and application of intent data, and educate strategic partners, customers and industry.
Lead engineering org (∼30 employees + 3 managers): OKRs development, agile process maturity and organization changes.
Establish, build, and lead data team (5 ICs) responsible for delivery of ML pipelines used to infer organization interest from Bombora publisher coops' massive stream of web content interactions.
Manage R&D engineering team (4 ICs) to deliver software application(s) supporting building energy use optimization and reporting from MelRok’s energy information platform API (hardware device & cloud).
- Lead research and development of prototype algorithmic trading model (MATLAB) for large-scale data-mining and stock portfolio optimization of performance metrics (i.e., Sharpe Ratio, MDD). • Deliver cloud-based (AWS EC2) backtesting simulation to scale model optimization ∼100x. • Deliver reporting workflow providing statistical analysis and generation of publication-quality plots (Python, pandas, LATEX) of trading model results to financial clients.
Methods in Engineering Analysis, (Fall 2009). Instructor: Professor John Verboncouer Assisted in the development of homework sets and solutions, led lectures, held discussions and office hours for an upper division engineering course of 70 students.
Supervisor: Dr. Jens T. Birkholzer Performed numerical modeling to characterize water vapor production, transport and removal in a drift (tunnel) at the Yucca Mountain Repository using the TOUGH2 porous media simulator. Developed advanced programs for Integral-Finite Difference Method (IFDM) grid generation and data analysis.
Principal Investigator: Ellen Jacobson Developed educational curriculum on science and energy-efficiency concepts for students in grade school. Lectured throughout elementary schools in the Reno, Nevada area on these concepts, with a focus on low-income communities.
Supervisor: Dr. Jesse Adams Investigated passivation techniques in Atomic Force Microscopy (AFM) allowing for imaging of samples in aqueous solution. Assisted in the development and design of next-generation cantilever-style AFM probes.