AI Software Engineer specializing in Python, LLM application development, LangChain/LangGraph, MCP tooling, and agentic automation systems. Proven experience architecting production-grade AI platforms, building secure and scalable backends, and integrating LLMs, RAG pipelines, vector databases, and cloud native infrastructure. Delivered AI/ ML solutions for healthcare, fintech, and enterprise SaaS that improved operational efficiency by up to 70%, supported 50K+ users, and passed HIPAA/SOC 2 audits. Strong focus on Generative AI, NLP, retrieval systems, model orchestration, and enterprise-grade compliance. Passionate about building high-impact AI systems with reliable engineering standards and intuitive user experiences…

John Loveall

5.0 (1 review)

AI Software Engineer specializing in Python, LLM application development, LangChain/LangGraph, MCP tooling, and agentic automation systems. Proven experience architecting production-grade AI platforms, building secure and scalable backends, and integrating LLMs, RAG pipelines, vector databases, and cloud native infrastructure. Delivered AI/ ML solutions for healthcare, fintech, and enterprise SaaS that improved operational efficiency by up to 70%, supported 50K+ users, and passed HIPAA/SOC 2 audits. Strong focus on Generative AI, NLP, retrieval systems, model orchestration, and enterprise-grade compliance. Passionate about building high-impact AI systems with reliable engineering standards and intuitive user experiences…

Available to hire

AI Software Engineer specializing in Python, LLM application development, LangChain/LangGraph, MCP tooling, and agentic automation systems. Proven experience architecting production-grade AI platforms, building secure and scalable backends, and integrating LLMs, RAG pipelines, vector databases, and cloud
native infrastructure. Delivered AI/ ML solutions for healthcare, fintech, and enterprise SaaS that improved operational efficiency by up to 70%, supported 50K+ users, and passed HIPAA/SOC 2 audits. Strong focus on Generative AI, NLP, retrieval systems, model orchestration, and enterprise-grade compliance. Passionate
about building high-impact AI systems with reliable engineering standards and intuitive user experiences

See more

Language

English
Fluent

Work Experience

AI & Backend Engineer at SprintiQ Inc
January 6, 2025 - June 30, 2026
• Engineered Python-based LLM/NLP microservices that parsed and classified high volume financial documents using Transformer models (BERT/RoBERTa), improving document categorization accuracy by 28%. • Implemented RAG pipelines and retrieval layers with LangChain to power enterprise-facing AI assistants and automated financial insights. • Designed and optimized Firebase + Cloud Functions backend handling 50,000+ MAU, ensuring consistent sub-200ms response times. • Built end-to-end CI/ CD with GitHub Actions, Docker, and automated QA checks, reducing deployment failures by 35%. • Coordinated with product and data teams to deliver a React-based fraud detection analytics dashboard, reducing analyst review time by 20%. • Improved observability and reliability by adding structured logging, metrics, and automated exception tracking.
AI Full-Stack Engineer at MeetArtLink
September 19, 2022 - November 26, 2024
• Led architecture and development of a Generative AI SaaS platform using Python, LangChain, CrewAI, and custom agent tools, reducing document review speeds for healthcare clients by 70%. • Built and deployed MCP servers and custom Al tools enabling multi-agent orchestration, automated reasoning, and adaptive workflows. • Developed encrypted FastAPI APIs and HIPAA-compliant microservices utilizing Firebase Auth, SQL/ NoSQL storage, and PHI-safe data flows. • Engineered RAG and NLP pipelines with real-time ingestion, embeddings, and vector search, significantly improving extraction accuracy and response quality. • Delivered WCAG 2.1-compliant Uls in React/ Next.js, improving accessibility and usability metrics by 40%. • Integrated IoT wearable data into ML systems using Firestore + Cloud Functions, enabling real-time alerts, anomaly detection, and predictive modeling.
AI Full-Stack Developer at BigBear Inc
July 1, 2020 - August 31, 2022
• Built a HIPAA-compliant patient engagement and clinical automation platform using FastAPI, Firebase Auth, React, and secure backend workflows. • Implemented transformer-based clinical note summarization and RAG prototypes using LangChain and Hugging Face models, cutting clinician documentation review times significantly. • Designed and enforced enterprise security features including RBAC, audit trails, encryption, session security, and compliance reporting, enabling successful HIPAA + SOC 2 audits. • Automated ingestion of HL7/FHIR healthcare datasets into Pinecone Vector DB, enabling semantic retrieval across patient histories and EHR data. • Produced technical documentation and conducted onboarding workshops for 15+ healthcare partners, improving adoption and reducing support overhead.
Full-Stack Developer at Criterion Systems
August 19, 2018 - December 25, 2019
• Built high-scale full-stack systems with Django APIs and React/Next.js frontends for government and enterprise clients across logistics and education. • Developed a real-time QR-based inventory tracking system with WebSockets, role-based dashboards, and automated data reconciliation, cutting warehouse reconciliation time by 60%. • Containerized applications with Docker and implemented GitLab CI workflows, increasing deployment reliability across environments. • Designed OAuth2 + MFA authentication flows handling 10,000+ users while maintaining high security and low friction. • Led accessibility and performance improvements, implementing a11y testing and WCAG AA standards across multiple client projects.

Education

Bachelor of Science at University of Texas
August 1, 2014 - July 31, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Healthcare, Real Estate & Construction, Transportation & Logistics, Travel & Hospitality, Financial Services, Media & Entertainment
    Intelligent Document Processing & KYC Verification System
    The platform provides a centralized Compliance Center where compliance officers can upload and analyze financial documents. Its interface uses a dark navy, white, and emerald-green visual language to communicate security, trust, and regulatory compliance. Core functionality • Bank statement analysis — automatically extracts account information and identifies/highlights transactions. • Transaction validation — verifies extracted transactions and provides a clear “Validated” status. • KYC verification — analyzes identity documents and extracts key identity information. • Facial matching — compares the face in an identity document with a facial scan and provides a match score. • Verification status — clearly communicates whether a customer's identity has been successfully verified. • Audit trail — maintains an active record of compliance and verification activity. • Document intelligence — converts unstructured financial documents into structured, reviewable information. • Compliance monitoring — provides a dedicated workspace for risk assessment, reports, and audit activities.…