Todd Freeman

Senior Software Engineer

toddfreeman513@hotmail.com
(650) 822-6572
1144 Sutton PL, Desoto, TX 75115
in/todd-freeman-7bb649a523523h26

Professional Summary

AI Software Engineer with 8+ years of experience designing and delivering intelligent software platforms across healthcare, education technology, enterprise automation, and financial services. Specialized in building production-grade AI applications using LLMs, LangChain, LangGraph, MCP integrations, multi-agent systems, RAG, vector databases, and multi-agent workflow automation platforms. Experienced in architecting scalable full-stack solutions using React, Next.js, TypeScript, Python, FastAPI, and NestJS while developing cloud-native microservices, event-driven systems, and data platforms on AWS and Azure. Proven track record of building customer-facing AI assistants, enterprise automation solutions, healthcare intelligence systems, analytics platforms, and secure data products that improve operational efficiency, business outcomes, and user experiences at scale.

Professional Experience

Sr Software Engineer

StriveWorks

Jun 2025 - May 2026

Phoenix, AZ

  • Architected an AI-powered clinical assistant platform integrated with Epic and other EHR systems through FHIR APIs, enabling clinicians to retrieve patient histories, lab results, medications, and clinical notes using natural language interactions while maintaining HIPAA compliance.
  • Built Python-based ingestion and ETL services that continuously processed structured and unstructured healthcare data from EHR platforms, CRM systems, and Snowflake data warehouses, applying medical-context-aware chunking, embeddings generation, and normalization pipelines for downstream AI workflows.
  • Designed healthcare retrieval systems using PostgreSQL (pgvector), semantic search, and hybrid retrieval techniques that combined vector similarity with keyword-based matching to improve accuracy for medication records, lab values, and patient-specific clinical queries.
  • Developed FastAPI-based AI orchestration services leveraging LangChain, LangGraph, MCP integrations, and multi-agent workflows to perform contextual reasoning, patient intake automation, medical document analysis, and clinician decision-support tasks grounded on verified healthcare records.
  • Implemented event-driven architectures using Kafka, RabbitMQ, and Redis to support real-time EHR updates, incremental document reprocessing, embedding synchronization, and scalable healthcare data pipelines.
  • Established AI quality evaluation and safety frameworks using LangSmith, guardrails, automated test datasets, retrieval performance metrics, confidence scoring, citation validation, and fallback mechanisms.

Sr Software Engineer

Bookmarked Inc

Jan 2024 - Jun 2025

Dallas, TX

  • Implemented AI-powered Book Intelligence capabilities using LangChain, OpenAI models, embeddings, Pinecone, and FAISS that enabled librarians and district administrators to evaluate book collections, analyze content suitability, generate detailed summaries, and make informed collection management decisions.
  • Designed automated compliance and governance solutions that continuously assessed library inventories against state legislation, challenged-book databases, and district policies, helping schools reduce compliance risks and streamline collection review processes.
  • Built parent-choice and approval workflows using React, Next.js, TypeScript, and WebSocket technologies, providing families with transparent visibility into student reading materials, personalized access controls, and real-time engagement throughout the book approval lifecycle.
  • Developed scalable data ingestion and ETL pipelines using Python, PostgreSQL, Supabase, AWS RDS, and public education datasets to process millions of book records, metadata sources, curriculum standards, and inventory data for search, reporting, and compliance operations.
  • Built personalized reading recommendation services leveraging retrieval-augmented generation (RAG), semantic search, vector databases, and machine learning techniques to help students discover age-appropriate, curriculum-aligned, and interest-based reading materials.

FullStack Engineer

KristaAI

Jun 2021 - Dec 2023

Dallas, TX

  • Developed enterprise conversational AI solutions using React, Next.js, Python, LangChain, and NLP technologies that enabled employees and customers to complete business processes, retrieve information, and interact with enterprise systems through natural language interfaces.
  • Designed distributed microservices architectures using Python, NestJS, PostgreSQL, Redis, and asynchronous messaging patterns to orchestrate workflows across customer support, IT operations, finance, and document management systems.
  • Delivered intelligent document processing capabilities that automatically extracted, validated, and routed information from invoices, contracts, onboarding forms, and operational records, significantly reducing manual processing efforts.
  • Built secure identity and access management solutions using JWT, RBAC, SAML, Firebase Authentication, and REST APIs to support enterprise authentication, authorization, and compliance requirements across multi-tenant environments.
  • Implemented enterprise integration frameworks connecting Salesforce, ServiceNow, ERP systems, Microsoft Teams, SharePoint, and internal databases through REST APIs, event-driven communication patterns, and workflow orchestration services.

FullStack Developer

evolv Consulting

Jul 2019 - Jun 2021

Dallas, TX

  • Delivered cloud-native data and analytics solutions for financial services clients using Python, C#, .NET Core, React, Azure, Snowflake, and AWS, helping organizations modernize legacy systems and improve business intelligence capabilities.
  • Migrated monolithic C#/.NET applications into Python Flask-based Docker microservices, improving scalability, deployment efficiency, and long-term maintainability.
  • Designed enterprise data platforms and ETL pipelines using Python, Snowflake, Azure Data Factory, SQL Server, and cloud-native services to consolidate financial data and enable self-service analytics.
  • Developed customer-facing financial dashboards, reporting portals, and analytics applications using React, REST APIs, and microservice architectures, providing real-time business insights and operational visibility.
  • Built enterprise data governance and master data management solutions using Snowflake, Azure Data Factory, Python ETL pipelines, SQL Server, and cloud-native architectures.

Full Stack Developer

EC IT-System Limited

Jun 2018 - Jun 2019

Hong Kong

  • Developed custom financial services and CRM web applications using JavaScript, Python, SQL, React, Node.js, and REST APIs, helping clients digitize business processes and improve customer engagement.
  • Built responsive customer portals, internal business management systems, and workflow automation solutions that streamlined loan processing, customer onboarding, inventory management, and operational reporting.
  • Designed backend services and database solutions using Python, Node.js, MySQL, and PostgreSQL while integrating third-party payment, CRM, and business management platforms.

Education

Hong Kong Metropolitan University (HKMU)

Bachelor of Science (Honours) in Computer Science

2014 - 2018