Daniel Kenigsberg

Full stack engineer building LLM and agentic systems in production. Delivered several zero-to-one AI products at Senpilot.

Previously technical co-founder of an edtech startup (which has raised $2M to date) and Data Scientist at the Burning Glass Institute, with a mathematics background.

Brooklyn, NY

Oct 2025 — Present

Senpilot

Full Stack Engineer

Delivered zero-to-one AI and ML initiatives end to end, including a Vegetation management AI product that helps curb vegetation related outages and fires before they occur and saves utilities thousands of hours on the ground observing power lines.

  • Work at Senpilot where we have built the definitive AI operating system for Utilities which connects and augments Engineering, Regulatory, and Customer Service processes. Reported directly to the CEO.
  • Additionally delivered and led integration of a Customer Service product for utilities that automates inbound calls during storms and overnight hours, and supports human representatives with following protocol and querying customer data.
  • Designed and built several internal systems now used across the company for prospect and customer management, supporting marketing and outbound efforts.
Jun 2023 — Oct 2024 (1 yr 5 mo)

UniqLearn

Technical Co-Founder and CTO

Built ML and LLM tools that personalized content and tracked student performance, plus data systems that gave teachers real-time classroom insight.

  • Founded Ed-tech startup that serves hundreds of schools and has raised $2M in funding to date.
  • Raised $400K pre-seed and won the NYU Entrepreneur’s Accelerator ($100K prize); ran technical discovery and deployment directly with school and district partners.
May 2023 — Oct 2025 (2 yrs 6 mo)

Burning Glass Institute

Data Scientist

Trained and evaluated baseline ML models (linear/logistic, tree-based) to improve projections, tracking MAE/RMSE with cross validation.

  • Assembled, cleaned, and joined labor and education datasets; ran EDA to validate data and define modeling targets.
  • Used LLMs for prompt-based skill tagging and occupation normalization, and translated economic and demographic findings into charts and short memos for non-technical stakeholders.
Jul 2022 — Apr 2023 (10 mo)

Noodle

Quality Assurance Engineer

Supported QA for microsite migrations and NLP features; built test automation and data validation in Python, SQL, and Excel alongside engineering and product.

Apr — Oct 2025 (7 mo)

NYU Courant Institute

Research Lead, Co-First Author · SURE Research Award

Led a joint project under Prof. Jonathan Goodman on MCMC methods for sampling from the special orthogonal group, contributing to theory across representation theory, Lie groups, and Markov chain mixing.

2022 — 2024

NYU Hyperloop VIP

Mechanical Engineer

Linear induction motors and maglev prototyping.

Sep 2022 — Dec 2025 (3 yrs 4 mo)

New York University

Tandon School of Engineering

B.S in Mathematics and Computer Science Minor/Engineering Component

Relevant coursework

Honors Theory of Probability, Honors Abstract Algebra I & II, Commutative Algebra, Honors Analysis I & II, Complex Analysis, Partial Differential Equations, Ordinary Differential Equations, Numerical Analysis, Applied Statistics, Mathematical Modeling in MATLAB, Linear Algebra, Post Quantum Cryptography

Languages
Python, Java, C++, Javascript, HTML, SQL, MATLAB
Frameworks & ML
React, Redux, PyTorch, Tensorflow, Sklearn
Cloud & tools
AWS, GCP, Render, Vercel, Excel, Claude Code, Codex, Grok
Additional skills & languages

Cross-functional collaboration, stakeholder communication, data storytelling, project scoping, fundraising & pitching, entrepreneurial problem solving.

English (Native), Russian (Bilingual), Ukrainian (Limited), Spanish (Limited)