Nick Gondek Email & Phone Number

Berkeley, Ca, Us

Berkeley, Ca, Us

Berkeley, Ca, Us

Built and maintained regulatory API, using large language models (LLMs) to semantically surface federal, state, and local regulatory documents and land use plans, to reason about and summarize siting and permitting requirements for novel clean energy development.Collaboratively developed and updated development roadmap for product MVP and major versions, based on feedback from beta partners, strategic advisors, and energy domain experts.Developed in-house prompt engineering and experimentation platform for tuning of semantic document retrieval, reasoning, and efficiency of LLM-derived answers, according to best-available open-source evaluation frameworks and in-house supervised ground truth.

Leads a multidisciplinary team of geneticists and software engineers in the development of machine learning and statistical models, including image segmentation and classification for fruit maturity and abundance, linear mixed effects for variety growth performance across environment and management conditions, principal component and structure analysis for evaluation of genetic diversity, among othersDevelops custom analytical workflows to give Unfold end users a single source of truth on variety performance, germplasm comparison, and growth chamber environmental variation in the form of accessible and robust dashboards (R/Python, BigQuery, Looker + PlotlyJS)Champions the quality and accuracy of data resources, fostering cross-functional collaborative efforts and making Unfold’s data repositories approachable, understandable, and accessible across all levels of the organizationActs as data engineer, product manager, and software engineer as required to further Unfold’s mission to deliver unique and novel seed varieties attuned to vertical farming’s specific needs

Chicago, Il, Us

Accelerated Hohonu’s efforts to provide low-cost, solar-powered, networked water level sensors by designing novel PostgreSQL relations and redesigning schemas according to best practices. Authored an automated workflow to retrieve NWS, GFS, and NCEP wind speed/direction data for survey locations for integration into Hohonu’s time-series predictions of coastal sea levels for Hawaii stakeholders. Scoped and created pipelines for various Chicago non-profits, including cleaning, normalization, ingestion for predictive tools and/or descriptive dashboards according to partners’ goals.

Washington, District Of Columbia, Us

Authored 5 ‘explainers’ on technical underpinnings of machine learning, including reproducible simulations in Python, prevalent industry applications, and social implications, to inform US policymakers on AI issues. Evaluated real-world feasibility of technical proposals and legislation (including the ACCESS Act, EU’s GDPR, and CA’s CCPA) to promote competition and responsible innovation in the US tech sector. Developed and maintained dynamic broadband internet access mapping and analysis tools in Python using matplotlib, git, and jupyter for reproducibility, expanding BPC’s ability to influence congressional stakeholders

Chicago, Illinois, Us

Developed novel automated tools in Python to detect changes in patent holders’ employer via LinkedIn updates, ensuring Polsky’s ability pay out liabilities and greatly reducing reliance on costly manual review. Provided consult on the transfer of Polsky’s intellectual property, business, and contact information to new SQL database, maximizing consistency and availability of crucial business intelligence for ongoing operations. Presented recommendations to Polsky executives on data normalization, integrity, and standardization, to maintain compliance with federal regulations and effective ability to commercialize UChicago innovation.

Santa Cruz, Ca, Us

Trained, deployed, and evaluated end-to-end machine learning approaches to process and analyze high-dimensional data from microphones, cameras, drones, and satellites. Developed and executed R data transformation pipeline, turning raw data streams into rigorous statistical insight and informative visualizations on endangered species abundance for governments, non-profits, and researchers. Collaborated with global clients for diverse initiatives, including large-scale monitoring of 100+ locations using Bayesian hierarchical framework, adapting analytical approach and communication style to each client. Managed Unix-based 200+ TB network attached storage and GPU-based processing server, employing VirtualBox to test changes in a controlled environment before integrating into production workflow.

Completed an original research project simulating the effects of differential subsampling techniques on accuracy of genetic mark-recapture models using parallelized R simulation and model estimation workflow. Presented analysis and recommendations for quantitative ecologists in presentation to the Wildlife Society, informing ongoing literature on approach to minimize genomic analysis costs while maintaining accuracy. Developed interactive R/swirl teaching modules of statistical theory and applied analysis techniques for undergraduate statistics course on computational biology.

Captured target passerine species for the purpose of fecal sampling, radio transmitter fixing, and banding. Tracked adult and juvenile birds by way of radiotelemetry and obtained behavioral observations. Sampled invasive and native vegetation for abundance, distribution and phenological activity. Participated in outreach events with Oahu area students, ranging from 9 to 18 years of age.

Captured target passerines of the Coconino National Forest for a 25+ year life history study and a 4+ year metabolic expenditure study along with a team of 30+ researchers. Collaborated with graduate students and principal investigator to gather blood samples, morphological measurements, radio-telemetry based locations, among others. Transferred data to centralized location each day, processing blood samples into plasma and checking obtained data for mistakes or inconsistencies.

Masters Of Science In Computational Analysis Of Public Policy, Emphasis In Statistics And Computer Science

Bachelor'S Of Science, Dual Major In (1) Fisheries, Wildlife Conservation Biology And (2) Env. Sciences, Policy And Mgmt