# Andrew Wirth > AI/ML Engineer | Software Engineer | Core Contributor to Amazon Nova LLM | Generative AI | Post-Training & Scalable ML Systems | 6+ Years in AI Research & Applied ML Location: San Francisco Bay Area, United States Profile: https://flows.cv/andrewwirth I am an AI/ML software engineer with 6+ years of experience spanning applied machine learning, AI research, and large-scale model training. I began my career applying machine learning models to solve business problems, then spent two years in AI research advancing large language model capabilities. Most recently, I’ve been a core contributor to Amazon Nova (LLM), where I designed and built critical components, implemented algorithms, and optimized throughput of the post-training pipeline and am credited as a core contributor on the Nova paper. In addition to my contributions to Nova's post training pipeline, I developed a fully parallelized model merge tool that was incorporated in every Nova model release and into AWS products, enabling efficient scaling and integration of LLMs in production. My work bridges cutting-edge research with real-world systems, with deep expertise in distributed training, model optimization, and deployment at scale. I am passionate about advancing the capabilities of AI while ensuring that research translates into practical, widely used applications. ## Work Experience ### Software Engineer - AI - Amazon Nova/Generative AI @ Amazon Jan 2023 – Present | Sunnyvale, California, United States • Lead engineer supporting large-scale post-training for frontier LLMs and emerging multimodal models. • Partnered with research teams to train early-stage multimodal models combining vision, language, and action-based inputs, enabling experiments in grounded reasoning and embodied interaction. • Developed training pipelines that integrate visual encoders, cross-attention fusion layers, and instruction-tuned language heads, optimizing for sample efficiency and multi-sensor alignment. • Led RLHF workflow development for multimodal systems, including preference data generation for vision-language tasks (image reasoning, spatial queries, action prediction). • Developed curriculum-based sampling and multimodal reward-model training strategies that improved robustness on tasks involving perception, visual QA, and trajectory evaluation. • Designed distributed replay buffers and sampling policies for long-horizon action sequences, improving convergence in tasks involving temporal dependencies and sequential decision-making. • Supported parallelism (TP/PP/DP) for large-scale multimodal and LLM training runs, focusing on reliability, reproducibility, and stable multi-view data loading. • Collaborated on model merging, evaluation pipelines, and safety-alignment experiments for multimodal policy models. ### Software Engineer- Machine Learning - Generative AI Research @ Amazon Jan 2021 – Jan 2023 | Sunnyvale, California, United States • Collaborated with ML researchers to design, run, and analyze LLM training experiments, including supervised fine-tuning, instruction-tuning, and alignment evaluations. • Built and maintained training pipelines for data preprocessing, tokenization, model configuration, hyperparameter search, validation checkpointing, and drift detection. • Supported multi-round human-in-the-loop experiments: synthetic data generation, preference labeling workflows, reward-model retraining, and behavioral analysis of updated policies. • Conducted rigorous analysis of model behavior in reasoning, multi-turn dialog, safety, and grounding tasks, producing reports that informed architecture and training-schedule changes. • Contributed to early multimodal + embodied AI experiments, integrating LLMs with robotic simulators to study reasoning and control. ### Senior Analyst / Software Developer Role @ CSAA Insurance Group, a AAA Insurer Jan 2018 – Jan 2021 | Walnut Creek, California • Developed an internal web application to manage document requests, integrated APIs for request completion and database interactions, passing all internal security and quality assurance tests necessary for launch readiness. • Implemented a growing portfolio of agentic robotic processing automations in Python • Developed an internal Python package to simplify and accelerate robotic process automation development • Train and support a growing group of developers • Implemented multiple machine learning classifiers using scikit-learn and NLTK to replace a manual intent classification process • Lead automation efforts as the business process owner surpassing an organizational goal of $2,000,000 in expense reductions ### Senior Business System Analyst @ Central California Alliance for Health Jan 2016 – Jan 2018 | Scotts Valley, CA • Combined toolsets such as SQL Server, Oracle, and Tableau to deliver high-performance dashboards increasing the accessibility of data intelligence and analysis • Analyzed prescribing habits leading to an increase in the utilization rate of a lifesaving drug by 19%, earning the organization an award for innovation • Automated the updating of various tables in multiple SQL scripts using Python, contributing to an efficient and successful system upgrade ### Business System Analyst I @ Central California Alliance for Health Jan 2016 – Jan 2016 | Scotts Valley, CA • Collaborated across technical and non-technical teams eliciting requirements and developing solutions for the implementation of an enterprise data warehouse • Led ongoing fraud detection analysis that had an initial impact of $38,000 in savings • Mentored, and trained colleagues on tools, data flows, and data warehousing ### Co-Founder @ Common Fitness Jan 2012 – Jan 2013 | Greater Boston Area · Envisioned and launched an outdoor fitness startup. · Recruited a partner with skill sets complementary to my own to run the business successfully. · Acquired funding through an entrepreneurial program and led the company to profitability in a single season. ## Education ### Master's degree in Computer Science Northeastern University Jan 2019 – Jan 2020 ### Bachelor's degree in Business Administration and Management, Finance & Management Information Systems University of Massachusetts Lowell Jan 2012 – Jan 2014 ## Contact & Social - LinkedIn: https://linkedin.com/in/wirthdrew --- Source: https://flows.cv/andrewwirth JSON Resume: https://flows.cv/andrewwirth/resume.json Last updated: 2026-03-22