Todd Freeman

Senior Software Engineer

toddfreeman06@gmail.com
(650) 822-6572
Desoto, TX 75115
in/todd-freeman-7bb649a523523h26

Professional Summary

Senior AI Software Engineer with 8+ years of experience building production-grade Agentic AI, LLM-powered applications, and cloud-native enterprise platforms across healthcare, education, enterprise SaaS, and financial services. Expertise in AI agents, multi-agent systems, RAG, LLM orchestration, MCP, vector search, and AI evaluation using LangChain, LangGraph, CrewAI, OpenAI, Claude, Amazon Bedrock, and Azure OpenAI. Skilled in developing scalable Python/FastAPI microservices and cloud-native AI solutions with React, AWS, Azure, Kubernetes, Docker, and Terraform, integrating enterprise APIs, databases, and SaaS platforms. Proven track record of delivering secure, scalable AI systems through observability, guardrails, governance, performance optimization, and CI/CD.

Professional Experience

Sr Software Engineer

StriveWorks

Dec 2023 - May 2026

Phoenix, AZ

  • Led the architecture and delivery of enterprise AI platforms for healthcare and financial services clients, mentoring 4 engineers, driving technical design reviews, and partnering with product leadership to deliver production-ready Agentic AI solutions using LangGraph, LangChain, CrewAI, MCP, and OpenAI technologies.
  • Designed and implemented RAG-powered AI assistants using OpenAI GPT-4, Claude, Amazon Bedrock, Azure OpenAI, PostgreSQL (pgvector), and hybrid search, improving retrieval accuracy by 35% while providing explainable, context-aware responses across enterprise knowledge bases.
  • Built scalable AI workflow services that integrated enterprise APIs, databases, FHIR/EHR platforms, CRM systems, and SaaS applications through REST APIs, MCP, and event-driven architectures, reducing manual business processes by 60% across customer deployments.
  • Architected cloud-native microservices using Python, FastAPI, Docker, Kubernetes (EKS), AWS Lambda, EventBridge, Redis, Kafka, and RabbitMQ, supporting high-volume AI inference workloads while improving platform availability to 99.9%.
  • Established AI evaluation and governance frameworks using LangSmith, automated prompt regression testing, hallucination detection, guardrails, audit logging, and decision tracing, reducing production AI defects by 40% and improving deployment confidence.
  • Optimized LLM inference pipelines through semantic caching, retrieval tuning, vector search optimization, and prompt engineering, reducing average response latency by 38%, lowering cloud inference costs by 25%, and increasing workflow throughput by 3×.

FullStack Engineer

KristaAI

Jun 2021 - Dec 2023

Dallas, TX

  • Developed enterprise conversational AI platforms using React, Next.js, Python, LangChain, and OpenAI, enabling employees and customers to automate business workflows and reducing support request volumes by 45%.
  • Designed distributed microservices using Python, NestJS, PostgreSQL, Redis, and asynchronous messaging, increasing system throughput by 3× while supporting highly scalable workflow orchestration across multiple business domains.
  • Built intelligent document processing solutions that automated data extraction and validation from invoices, contracts, and onboarding documents, reducing manual processing time by 65% while improving data accuracy.
  • Implemented secure authentication and authorization services using JWT, RBAC, SAML, Firebase Authentication, and REST APIs, supporting multi-tenant enterprise deployments with role-based access controls and compliance requirements.
  • Designed reusable integration services connecting Salesforce, ServiceNow, Microsoft Teams, SharePoint, and enterprise databases, decreasing implementation effort for new customer integrations by 50%.

FullStack Developer

Evolv Consulting

Jul 2019 - Jun 2021

Dallas, TX

  • Developed cloud-based financial applications using Python, C#, .NET Core, React, Azure, and Snowflake, delivering new features that improved reporting accuracy and day-to-day operational efficiency for banking and financial services clients.
  • Migrated legacy C#/.NET applications into Python Flask microservices running in Docker, reducing deployment complexity and improving application scalability and maintainability.
  • Built Python ETL pipelines using Snowflake, Azure Data Factory, and SQL Server to consolidate data from multiple enterprise systems, improving data quality and reducing manual reporting efforts.
  • Developed responsive financial dashboards and reporting portals using React and REST APIs, enabling business users to access real-time portfolio metrics, operational KPIs, and regulatory reports.
  • Configured application monitoring using Prometheus, Grafana, and centralized logging, helping engineering teams identify production issues faster and improve platform reliability.

Full Stack Developer

Infor

Jun 2018 - Jun 2019

Toronto

  • Developed and maintained responsive web applications using React, JavaScript (ES6), HTML5, CSS3, and Bootstrap, delivering new features and improving the overall user experience across desktop and mobile devices.
  • Built and integrated RESTful APIs using Node.js, Express, and Python, enabling secure authentication, efficient data exchange, and reliable communication between front-end and back-end services.
  • Managed application state using Redux and React component state, improving data consistency and simplifying complex user interactions across the application.
  • Designed and optimized relational database schemas and SQL queries using MySQL and PostgreSQL, supporting business workflows and improving data retrieval performance.
  • Collaborated with UI/UX designers, QA engineers, and senior developers in an Agile environment to implement new features, resolve production issues, and deliver high-quality software releases.

Education

University of Toronto

Bachelor of Science in Computer Science

2014 - 2018