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CV

Experience

Mozilla.ai

ML Systems Engineer | Aug 2025 – Present

Independent Technology Consultant

ML/AI Architect | Sept 2024 – Present

  • Architected enterprise-level natural language processing and information retrieval systems for Fortune 50 technology companies, focusing on workflow automation solutions that enhance infrastructure reliability and operational efficiency
  • Provided comprehensive technical advisory services spanning MLOps infrastructure design, development roadmap planning, and best practices for scaling ML operations

Seek AI (Acquired by IBM)

Head of AI (Lead ML Engineer) | Apr 2022 – Aug 2024

  • Built a state-of-the-art ML system for semantic parsing and information retrieval, achieving 91.2% execution accuracy (current SOTA) on the Spider Text-to-SQL Benchmark while building and mentoring a high-performing team of 8 ML researchers & engineers
  • Developed comprehensive MLOps infrastructure including automated data pipelines and monitoring systems, while driving strategic technical decisions across engineering, product, and design teams
  • Led technical strategy, research partnerships, and presentations that secured $10M in seed funding while establishing engineering best practices and fostering a culture of innovation

Montclair NLP Lab

Graduate Assistant | Sep 2021 – May 2023

  • Conducted original research in lexical semantic shift detection in Modern Hebrew
  • Assisted professors teaching undergraduate courses in cognitive science and phonology

Aphelion Orbitals

Co-founder | Oct 2016 – Nov 2018

  • Devised successful budget for $500k seed funding round
  • Oversaw communications and reports to investors
  • Developed and maintained in-house and cloud computing operations

Patents & Publications

Failure Modes of LLM Judges in Alignment Benchmarking

Conference Paper | Coauthor, Accepted at ICLR 2025 | Jan 2025

MisMo: More is More in Alignment

Workshop Paper | Coauthor, Accepted at SFLLM 2024 @ NeurIPS | Dec 2024

NLP Methods and Systems for Querying Datasets

Method Patent | Patent Nos. 19,099,502 & 12,099,503 | Sep 2024

Education

Johns Hopkins University

MS Systems Engineering (part-time) | I/P

  • Relevant Coursework: Introduction to Systems Engineering, Management of Systems Projects

Montclair State University

MS Computational Linguistics | May 2023

St John's College (MD)

BA History of Mathematics & Science, Philosophy | May 2021

Certifications

INCOSE Associate Systems Engineering Professional (ASEP)

May 2025

Invited Talks

Generative AI: A Phenomenal Science

Arthur AI Fest 2024 | Invited Talk | Sep 2024

Building Safe AI: What We Can Learn from Golems and Copper Men

Datafest Tbilisi 2024 | Workshop | Sep 2024

Arthur AI Ground Truth: AI Crashes the Science Party

Arthur AI | Panel | Feb 2024

ChatGPT & the Future of AI

Montclair State University | Panel | Feb 2023

Projects & Volunteering

Ptolemy

Core Maintainer | Oct 2024 – Current

  • Lead architect of Ptolemy, an open-source ML observability platform built with Rust, PyO3, and gRPC, implementing systems engineering methodologies to provide comprehensive monitoring and troubleshooting capabilities
  • Engineered high-performance data ingestion pipeline and flexible connector ecosystem enabling direct SQL querying of ML monitoring data without semantic layer limitations
  • Designed extensible plugin architecture and API framework allowing seamless integration with existing ML infrastructure while maintaining enterprise-grade security controls

Community Security Service (CSS)

Team Lead, ROAM | Jan 2024 – Current

  • Lead tactical security deployments protecting high-risk Jewish institutions and public events in coordination with law enforcement and EMS
  • Trained in counterterrorism protocols, emergency response, and combat readiness as part of a rapid-response unit
  • Led real-world rapid-response ops where failure = physical harm. Same systems mindset, higher stakes

Skills

Core Technologies: Python, Rust, SQL, GraphQL

ML & AI Infrastructure: PyTorch, JAX/FLAX, Deepspeed, NVIDIA Triton, MLFlow, W&B, Vector Stores (PGVector, Weaviate, Qdrant)

Large Language Models: LangChain, Huggingface Transformers, LLM Platforms (OpenAI, Anthropic, Groq, Cohere)

Data Infrastructure: PostgreSQL, Snowflake, BigQuery, DuckDB, Clickhouse, Airflow, dbt, Kafka

Backend & APIs: FastAPI, Django, Axum, Tokio, PyO3

Cloud & DevOps: Docker, Kubernetes, GCP, Azure, OCI