← Portfolio ·

Enoch Levandovsky

AI engineering · Machine learning · Spoken-dialogue research

enochlev@gmail.com · LinkedIn

Experience

Senior Data Scientist · XSELL Technologies

May 2022–present · LLM agent engineering

Fine-tuned LLMs for agentic voice applications and scaled applications to 100k+ requests per day using vLLM and AWS.
Applied RLHF, GRPO, and model distillation to improve deployment efficiency.
Improved a BERT topic classifier from 71% to 92% accuracy.
Re-engineered a legacy ML stack with PyTorch and CUDA.

Adjunct Professor · Northwest Nazarene University

January–June 2023

Taught an upper-level artificial intelligence course covering heuristic algorithms, reinforcement learning, machine learning, deep learning, and natural language processing.

Data Scientist · In Time Tec

January–December 2021

Developed analytics solutions with Python, SQL, Pandas, and Matplotlib. Refactored an HP printer-error ETL pipeline from two hours to fifteen minutes.

Robotics Development Intern · Green Cut Robotics

May–August 2020

Built operating-system functionality and a Java geospatial route planner for an autonomous lawn mower using gyro and GPS guidance.

Research Assistant · Northwest Nazarene University

May 2019–January 2020

Applied geospatial machine learning to burn extent and fire severity. Compared satellite and drone imagery and presented research at TFRSAC, INBRE, and FDL.

Education

Ph.D. in Computing, in progress · Boise State University · since August 2024

M.S. in Computer Science · Boise State University · 2022

B.S. in Computer Science, B.A. in Mathematics · Northwest Nazarene University · 2021 · Business Administration minor

Selected research

Learning to Speak Like a Child: Reinforcing and Evaluating a Child-level Generative Language Model · SIGDIAL 2025.
Incremental, Modular, Distributed, Multimodal Spoken Dialogue with Robotic Platforms · SIGDIAL 2025.
Evaluating Automatic Speech Recognition and Language Understanding in an Incremental Setting · SemDial 2023.

Technical skills

Python, Java, C/C++, PyTorch, TensorFlow, scikit-learn, CUDA, vLLM, AWS, SQL, reinforcement learning, RLHF, GRPO, NLP, machine learning, and software architecture.

Adapted from the résumé shared March 20, 2026. Professional dates and outcomes reflect that source.