Senior ML & GenAI Software Engineer

Jimmy Sambuo

McLean, Virginia · ***********@*****.*** · +1-442-***-**** · https://www.linkedin.com/in/jsambuo/

SUMMARY

Senior software engineer with experience building machine-learning and generative-AI capabilities for production products across order management, healthcare, banking, and platform workflows. Strong in Python, supervised learning, NLP, deep learning, LLM integration, RAG, embeddings, vector search, prompt engineering, model evaluation, and MLOps, with a foundation in Java services, APIs, SQL, and cloud delivery. Comfortable taking AI features from data preparation and experimentation through guarded integration, monitoring, and human-reviewed user workflows.

EXPERIENCE

Senior Software Engineer 2024.10 – Present

Amazon

●Contributed to an AI-assisted order-operations feature within Amazon's Order Management Platform, organizing order, fulfillment, and policy context so operations teams could find relevant information during exception review.

●Built Python data pipelines and feature preparation workflows for inventory and fulfillment signals, using PostgreSQL and AWS services to support reliable analysis of SKU availability, shipment risk, and cancellation patterns.

●Developed retrieval-augmented generation workflows with embeddings and vector search, helping internal users summarize product, order, and policy context while keeping source references available for review.

●Prototyped LLM-powered classification and recommendation support with LangChain and LangGraph, applying prompt templates, structured outputs, evaluation sets, and human approval before operational use.

●Supported model and feature evaluation with Python, scikit-learn, experiment tracking, and monitoring checks, comparing precision, recall, response quality, latency, and failure cases across candidate approaches.

●Integrated AI services with Java APIs and AWS-hosted applications, using Docker, Jenkins, logging, access controls, and production monitoring to support dependable rollout and operational troubleshooting.

Senior Software Engineer 2021.8 – 2024.10

One Medical

●Supported a Python-based clinical-context prototype that used retrieval and language-model workflows to help care teams find relevant patient information during visit preparation, with privacy controls and human review.

●Developed PostgreSQL-backed data preparation and validation workflows for clinical notes, encounters, and patient timelines, supporting dependable inputs for analytics and model experiments.

●Built Java and Spring Boot services that exposed reviewed results to established healthcare workflows without bypassing authorization, audit, or clinical decision-making processes.

●Applied NLP-oriented preprocessing and evaluation checks to compare relevance, completeness, and potential failure modes across patient-context retrieval approaches.

●Partnered with product and clinical stakeholders to define useful review states, feedback capture, and safe fallback behavior when automated results were incomplete.

●Supported container deployments for Python and Java services with Docker and Kubernetes, contributing to release validation, logging, incident triage, and production troubleshooting.

Master Software Engineer 2014.6 – 2021.7

Capital One

●Built Python data workflows that organized transaction and account signals for fraud-review teams, supporting feature preparation, validation, reporting, and repeatable analyst workflows.

●Explored model-assisted risk review with scikit-learn-style classification and SQL-backed datasets, emphasizing traceable inputs, controlled outputs, threshold review, and human decisions.

●Implemented Java and Spring Boot services that exposed risk and reporting results to larger banking applications through authenticated REST APIs.

●Supported data-quality checks, error analysis, and monitoring for transaction workflows, helping teams distinguish source-data issues from model or rule behavior.

●Worked with PostgreSQL, SQL Server, Kafka, and AWS-hosted services to move event data through repeatable processing and review pipelines.

●Supported automated testing, containerized releases, and production monitoring with Jenkins and Docker, improving the reliability of data and service workflows.

Software Engineer 2013.11 – 2014.5

Driven, Inc.

●Supported Python analytics workflows and SQL-backed reporting features that organized campaign activity for segmentation, performance review, and early data-driven content decisions.

Software Engineer 2013.2 – 2017.2

Blast Zone Studios

●Supported Python telemetry and reporting workflows that organized player events into datasets for engagement, progression, and live-operations review.

●Built Java and SQL-backed operational views that helped teams inspect player behavior, compare release outcomes, and identify patterns for follow-up analysis.

Software Engineer 2009.3 – 2012.6

REI Systems

●Supported public-sector data intake, eligibility, case-routing, and audit-reporting workflows with Python, SQL Server, and Java services, building a foundation for consistent analytics and rule-based review.

SKILLS

Machine Learning and AI: Machine Learning, Supervised Learning, Unsupervised Learning, Classification, Regression, Clustering, Feature Engineering, Model Training, Model Evaluation, Cross-Validation, Precision, Recall, F1 Score, ROC-AUC, Hyperparameter Tuning, Time-Series Analysis

Generative AI and NLP: Generative AI, LLMs, LLM Integration, Prompt Engineering, Prompt Templates, RAG, Retrieval Workflows, Embeddings, Vector Search, Semantic Search, NLP, Text Classification, Summarization, Information Extraction, Structured Outputs, Guardrails, Human-in-the-Loop, LangChain, LangGraph

Python and ML Tooling: Python, scikit-learn, PyTorch, TensorFlow, pandas, NumPy, Jupyter, Hugging Face, MLflow, Experiment Tracking, Model Registry, Model Serving, Batch Inference, Feature Pipelines, Data Validation

Data, Services, and Cloud: SQL, PostgreSQL, SQL Server, Redis, MongoDB, Kafka, REST APIs, Java, Spring Boot, AWS, SageMaker, Bedrock, S3, Lambda, Docker, Kubernetes, CI/CD, CloudWatch, Prometheus

Testing, Security, and Operations: pytest, JUnit, API Testing, Data Quality, Model Monitoring, Drift Detection, Latency Monitoring, OAuth 2.0, JWT, IAM, Authentication, Authorization, Logging, Metrics, Alerting, Audit, Responsible AI, Agile, Technical Documentation

Soft Skills: Detail-oriented, Collaborative, Analytical, Adaptable

EDUCATION

Carnegie Mellon University 2013.8 – 2018.5

Master of Science, Information Technology-Software Engineering

Neumont University 2007.8 – 2009.5

Bachelor of Degree

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