Stephen Sanchez

Senior Software Developer with 10+ years of experience designing and developing scalable web applications, enterprise software solutions, and cloud-based platforms. Strong background in full-stack development, software engineering, and AI/LLM integration using technologies including React, Next.js, Node.js, Python, JavaScript/TypeScript, and modern backend frameworks. Experienced in building secure APIs, microservices, and AI-powered applications, leveraging OpenAI, LangChain, vector databases, AWS, and Azure to deliver high-performance and intelligent software solutions.

Senior Software Engineer - Reco Universal LLC - New York, NY - Remote

(2022-07)

Led the development of full-stack enterprise applications and LLM-integrated document intelligence platforms, helping customers automate document-heavy workflows, improve internal knowledge search, reduce manual review work, and deliver more efficient business operations.

• Architected an LLM-powered document intelligence platform using GPT-4, Azure OpenAI, LangChain, and vector search, processing 180K+ business documents and enabling real-time semantic search, summarization, and Q&A across customer knowledge bases.
• Designed custom document chunking, tagging, and metadata extraction pipelines for contracts, invoices, reports, policies, and internal knowledge files, improving retrieval accuracy by 32% in RAG-based search workflows. Developed secure REST APIs and backend services to support user authentication, data processing, admin dashboards, reporting tools, and AI-enabled workflows.
• Built full-stack customer portals and internal admin dashboards using React, Next.js, TypeScript, Node.js, Python, and FastAPI, supporting document upload, review queues, approval workflows, user management, reporting, and AI-assisted review screens.
• Developed AI-powered data extraction services using OCR, embeddings, prompt engineering, and validation rules to convert unstructured PDFs into structured records for downstream search, reporting, and workflow automation.
• Optimized LLM cost and performance by adding prompt caching, chunk filtering, model routing, retry logic, and response validation, reducing unnecessary token usage by 38% while improving response stability.
• Engineered scalable backend services using AWS Lambda, ECS Fargate, API Gateway, S3, SQS, Kafka, DynamoDB, and PostgreSQL to support asynchronous document processing, high-volume API traffic, and reliable AI service execution.
• Collaborated with product managers, frontend engineers, DevOps teams, QA engineers, and client stakeholders to deliver production-ready AI features, improve release quality, and maintain 99.8% service availability across customer-facing platforms.
• Created AI workflow orchestration using LangChain, routing logic, tool integrations, fallback prompts, and human-review checkpoints to manage different document types, business rules, and customer-specific processing flows.

Software Engineer - Inlera Health - Charlotte, NC - Remote

(2019-10 - 2022-04)

Worked on enterprise internal systems supporting IVR management, access control, audit workflows, and backend administration.

• Improved clinical document processing workflows by automating text normalization, entity extraction, document classification, and structured data mapping, reducing manual review time by 35%.
• Developed healthcare web applications using Python, Django, Django REST Framework, React, JavaScript, PostgreSQL, and MongoDB to support clinical data management, internal dashboards, reporting tools, and administrative workflows.
• Built secure REST APIs for patient-related data access, document processing, analytics outputs, user management, and internal reporting services, improving backend reliability for healthcare operations teams.
• Designed data processing pipelines using Python, Pandas, spaCy, and scikit-learn to clean, normalize, classify, and structure large volumes of clinical notes, claims data, and operational healthcare records.
• Developed backend services for healthcare analytics platforms, enabling teams to search, filter, export, and analyze structured insights from unstructured clinical documentation and internal datasets.
• Deployed cloud-based backend services on AWS Lambda, ECS Fargate, API Gateway, and S3, supporting scheduled batch jobs, file processing workflows, and near real-time data updates.

Software Developer - Contract - United Software Corporation - Austin, TX - On-site

(2018-09 - 2019-04)

Built full-stack web, mobile, CMS, and client-facing software solutions across multiple industries using modern JavaScript, mobile, and backend technologies.

• Developed cross-platform applications using Swift, SwiftUI, React Native, React, Node.js, Express.js, MongoDB, MySQL, and Redis.
• Designed and implemented RESTful APIs for authentication, order management, booking workflows, and customer-facing application features.
• Improved cloud cost efficiency by optimizing the authentication flow, application state structure, image storage, and backend resource usage, reducing service costs by up to 50%.
• Increased website loading speed by approximately 12% through lazy loading, JavaScript minification, Vite optimization, and frontend performance improvements.
• Built responsive web pages and mobile screens using React, React Native, Redux, SASS, and reusable component patterns.
• Collaborated with designers using Figma to convert low-fidelity and high-fidelity designs into clean, functional user interfaces.
• Introduced Jira, Scrum, and Kanban-based workflow practices, helping improve team development efficiency by approximately 20%.

Software Developer - L3Harris Technologies - Arlington, TX - Remote

(2015-10 - 2018-05)

Supported software engineering, build systems, testing, and real-time simulation functionality for technical product environments.

• Integrated and delivered third-party software upgrades for sky and cloud rendering modules, improving real-time rendering performance and visual fidelity.
• Developed automated test suites for rendering modules to support faster debugging, validation, and future feature upgrades.
• Created and maintained integration and production build systems across the software product line.
• Added asynchronous one-shot and continuous frequency-based data querying functionality to a real-time messaging subsystem.
• Supported modernization of build systems, developer environments, and deployment machines using C++17, CUDA 10, and CentOS 7.6.
• Assisted with debugging, testing, release preparation, and production support for complex software systems.
• Collaborated with senior engineers to improve software reliability, maintainability, and deployment consistency.

Bachelor's Degree - Computer Science - Navarro College, Texas (2011-09 - 2015-05)