Senior Software Engineer building AI-enabled applications for logistics and healthcare.

Technical skills

Experience

• Jun 2022 — Aug 2026 GuideWell·Senior Software Engineer
  • Developed AI-enabled full-stack applications (React, Next.js, TypeScript, Python, FastAPI, PostgreSQL, AWS) for autonomous delivery operations, intelligent logistics coordination, and real-time tracking supporting thousands of daily deliveries.
  • Built FAISS-based retrieval-augmented generation (RAG) pipelines over internal logistics knowledge bases to deliver faster, grounded responses and reduce query latency for operational staff.
  • Automated logistics exception handling and task assistance with Amazon Bedrock, LangChain, and LangGraph, reducing manual intervention.
  • Exposed validated logistics tools through Model Context Protocol (MCP) servers, enabling LLM agents to call services directly and improving interoperability across logistics platforms.
  • Deployed LiveKit voice-AI assistants integrating speech-to-text, LLM orchestration, text-to-speech, and internal APIs for hands-free workflows serving 5,000+ concurrent users.
  • Designed FastAPI services, Kafka event pipelines, and WebSocket features for reliable real-time communication across distributed services, improving throughput and reducing processing delays.
  • Supported application deployment, infrastructure automation, and monitoring with Docker, Terraform, GitHub Actions, and AWS CloudWatch, improving deployment time and uptime.
  • Improved engineering quality through architecture discussions, code reviews, mentoring, knowledge sharing, and technical documentation; mentored 7 engineers and translated technical concepts for product, operations, support, and business stakeholders.
• Dec 2019 — Jun 2022 Elevance Health·Software Engineer
  • Developed secure full-stack healthcare applications (React, Next.js, JavaScript, Python, FastAPI, Flask, GraphQL, PostgreSQL) that helped clinicians access patient data and complete workflows faster.
  • Built responsive care-team interfaces for clinical documentation and workflow tracking, supporting 2,000+ active users.
  • Designed GraphQL APIs and Python services for secure clinical and operational data access, reducing frontend API latency.
  • Refactored PostgreSQL schemas, optimized SQL queries, and improved patient-workflow data access, cutting response times from 800ms to 200ms (75%).
  • Implemented authentication, role-based access control, audit logging, and secure data handling with AWS Lambda, strengthening application security, supporting HIPAA compliance, and reducing unauthorized access incidents.
  • Collaborated with clinical, product, engineering, QA, security, and compliance teams in Agile cycles; used Confluence and JIRA to document requirements and workflows, accelerating stakeholder understanding.
• Aug 2017 — Nov 2019 L3Harris Technologies·Full Stack Developer
  • Developed full-stack features for a medical-device quality-management and clinical-data platform with React, Next.js, JavaScript, Python, FastAPI, Java, Spring Boot, and PostgreSQL, expanding regulatory workflow support and compliance coverage.
  • Built responsive Document Management and Training Management interfaces with role-based access control, streamlining onboarding and reducing training-administration time.
  • Developed backend services and REST APIs with Python/FastAPI, Java/Spring Boot, and Flask; integrated API Gateway and WebSockets for document, training, and permissions workflows, improving reliability and reducing integration errors.
  • Designed PostgreSQL schemas, indexes, and partitioned tables, and optimized queries to speed clinical-data retrieval and report generation.
  • Automated processing of 50,000 documents with OCR, reducing manual operational work by 80%; configured Socket.IO notifications and Docker, Kubernetes, and GitHub Actions CI/CD pipelines for cross-functional releases.
• May 2016 — Aug 2017 L3Harris Technologies·Frontend Developer
  • Built responsive internal application features with React, Next.js, JavaScript, Tailwind CSS, and Material UI, improving user experience and page load times.
  • Built CRM and operations-management interfaces for sales, customer management, and administrative workflows, helping streamline sales operations and reduce data-entry errors.
  • Centralized user-session, form-validation, and sales-workflow state with Redux, reducing state-related bugs by 20%.
  • Created reusable UI components, forms, and data tables, reducing duplicate development effort by 75%.
  • Integrated REST APIs using Swagger/OpenAPI and aligned API contracts, authentication, and validation with backend teams to improve data exchange and feature delivery.
  • Contributed to Agile delivery with Git and JIRA, performed code reviews, and wrote C# unit tests to improve code quality and keep sprint work on schedule.

Education

• Aug 2012 — Apr 2016 Florida State University·BS, Computer Engineering

Projects

• crewlore A local-first compiler that turns AI-coding-agent (Claude Code) sessions into a versioned, plaintext, citable team-knowledge layer in your git repo. The compiler refuses to emit a claim it cannot anchor: every claim ships with a verbatim source anchor that resolves back to the session line it came from. Compiled end-to-end on the public pydantic-ai repo (18 claims). Alpha, on PyPI — pipx install crewlore.
• agent-relay Multi-agent workflows that learn from their own past runs. Plans, reviews, build logs, and audits live in your git repo as markdown; relay distill --llm compresses past reviewer rejections into forward-looking lessons the next planner reads automatically. Alpha (v0.2).
• claude-ui Web interface for Claude with document analysis and conversation history.
• LLMs-from-scratch Study fork — building GPT-style models in PyTorch, from the ground up.

Get in touch

The fastest route is alainmanager8@gmail.com or +1 321-335-1430. I read every DM on LinkedIn, and I'm happy to talk about AI-enabled full-stack engineering, agentic workflows, and production systems.