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Andrei Kuznetsov

@andreikuznetsov

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Senior ML engineer building production GenAI systems with auditable, compliant impact.

United States

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What I'm looking for

I’m looking to lead production GenAI/ML delivery—building auditable, explainable systems with strong MLOps, observability, and governance, working with product and compliance teams to turn prototypes into measurable impact.

I’m a Senior Machine Learning Engineer with over 10 years designing, building, and deploying production-grade AI/ML systems in cloud environments. I focus on Python-based development for prompt engineering, LLM fine-tuning, and RAG pipelines that deliver reliable results end-to-end.

My work is grounded in robust MLOps and multi-GPU training, with a proven track record of explainable, auditable AI for compliance, personalization, and optimization workflows. I’ve built model evaluation, monitoring, and governance practices—using observability, guardrails, and privacy-aware preprocessing—to make outputs usable in audit-sensitive environments.

Across roles from Machine Learning Scientist to Staff/Principal leadership, I’ve led teams to turn prototypes into production features—covering model design, data preparation, prompt orchestration, API delivery, infrastructure, and monitoring. I enjoy partnering with product, compliance, security, and platform stakeholders to build AI capabilities that are safe, measurable, maintainable, and adaptable.

Experience

Work history, roles, and key accomplishments

Staff Machine Learning Engineer

Ncontracts

May 2024 - May 2026 (2 years)

Led AI/ML initiatives for risk management and compliance, turning regulatory and operational data into explainable, auditable decision-support capabilities. Designed and delivered an LLM-powered RAG assistant with ingestion, retrieval, guardrails, and production monitoring for regulated workflows.

Python Prompt Engineering Faiss Pinecone fastAPI Airflow

Principal Data Scientist

Dexian

Feb 2023 - Dec 2025 (2 years 10 months)

Served as a senior data science and AI lead, framing business problems and productionizing ML/GenAI solutions across personalization, search, text analytics, and workflow automation. Delivered a retail personalization and product discovery platform using semantic search, intent routing, LLM-assisted content services, and A/B testing with real-time inference and monitoring.

PyTorch Semantic Search Faiss fastAPI A B Testing

Machine Learning Scientist

FKA

Mar 2019 - Dec 2022 (3 years 9 months)

Worked on ML and applied engineering for hardware-aware AI, optimization, and next-generation compute efficiency. Built GNN- and surrogate-modeling pipelines, applied reinforcement learning and Bayesian search for design exploration, and produced hardware-constrained deployments with compression/quantization and reproducible infrastructure.

PyTorch GNN Reinforcement Learning Bayesian Optimization Multi GPU Training MLFlow Docker

Machine Learning Scientist

Navigant

Aug 2013 - Feb 2019 (5 years 6 months)

Contributed to NLP and probabilistic analytics initiatives, delivering production-minded tools for document understanding and decision support. Designed and implemented an entity resolution and document understanding platform with uncertainty-aware scoring, probabilistic matching, and interactive evaluation tooling.

NLP BERT Era Modeling SpaCy Entity Resolution Bayesian Scoring Python D3.Js

Software Developer

IPREO Private Capital Markets

Sep 2012 - Aug 2013 (11 months)

Developed and enhanced enterprise CRM functionality for private capital markets workflows, improving usability, stability, and alignment with business rules. Implemented backend validation and service endpoints, investigated production defects, and supported regression prevention via unit testing and query tuning.