Senior Software Engineer AI & Full Stack Solutions

Michael Smith

Los Angeles, CA • 1-213-***-****

***********@*****.*** • https://www.linkedin.com/in/michael-smith-3302722/ Senior Software Engineer Full-Stack & AI Development Results-driven Senior Software Engineer with over a decade of experience specializing in AI-powered applications, full-stack development, and scalable cloud solutions. Strong background in developing intelligent conversational platforms, automating workflows, and delivering high-performance web applications. Passionate about integrating AI-driven technologies to enhance user experiences and optimize engineering processes. Core Skills

• Frontend: React.js, Next.js, Redux, ChakraUI, ProseMirror, TypeScript, JavaScript, Vue.js, Svelte, Material UI, Web3.js, D3.js, Electron.js

• Backend & Infra: NestJS, Node.js (Express.js), Python (Django, FastAPI), Java (Spring Boot), TypeScript, Prisma, Go, REST, GraphQL, gRPC, WebSockets, CRDTs, Redis, Apache Kafka

• AI & Machine Learning: OpenAI, Anthropic Claude, Hugging Face, RAG, Vector Databases, AIJSX Framework, Braintrust (AI Evals), LangChain, LangGraph, LangSmith, Langfuse, AI Agent, NLP, LLM Integration, AI-Powered Search & Chatbots

• Cloud & DevOps: AWS (Lambda, S3, EC2, RDS, DynamoDB), Cloudflare, Azure (Functions, AKS, CosmosDB), Docker, Kubernetes, Terraform, DataDog, OpenTelemetry, CI/CD Pipelines (GitHub Actions, Jenkins), LaunchDarkly, Snowflake, PostHog, Segment

• Databases: PostgreSQL, MySQL, MongoDB, DynamoDB

• Testing: Jest, Cypress, Playwright

• Collaboration & Tools: Jira, Confluence, Notion, Slack, Teams, Figma, Vercel, Netlify, Visual Studio Code, Cursor AI

Professional Experience

Disney

Senior Software Engineer November 2025 – Present Disney's Document Intelligence platform leverages AI to automate contract analysis and document processing for enterprise legal workflows, extracting structured data from complex legal documents using LLM integration and semantic search.

• Integrated OpenAI GPT-4o for contract analysis with prompt engineering, structured output parsing using Pydantic, and confidence scoring, enabling automated extraction of contract types, parties, dates, key terms, and risk factors.

• Built prompt versioning system with SHA-256 hashing, semantic versioning (prod/staging tags), and S3 caching reducing payloads from MB to KB, enabling runtime prompt updates without redeployments.

• Implemented AI reliability patterns including circuit breakers for GPT-4o API calls, exponential backoff retry logic for rate limits, token usage tracking, and comprehensive error handling with detailed logging.

• Integrated Azure Document Intelligence API for PDF text extraction with LOC_ID references, implementing page processing strategies, preflight validation for encryption/corruption, and error handling for edge cases.

• Developed Snowflake Cortex Search for semantic contract querying with natural language, VARIANT schema for JSON storage, domain-based multi-tenant filtering, and lineage tracking.

• Built confidence scoring framework for LLM fields with validation rules for dates and monetary values, threshold-based quality checks, and JSON Schema validation ensuring structured GPT-4o outputs.

• Enhanced Go worker service implementing document processing stages (extraction LLM analysis persistence), lineage tracking with prompt versions and token usage, and comprehensive error handling.

• Developed FastAPI REST APIs for job submission, status tracking, and result retrieval with PostgreSQL persistence, Pydantic validation, webhook handlers for Tork orchestration, and correlation ID tracking.

• Built React/TypeScript UI with Next.js App Router implementing server-side rendering, API routes for backend-for-frontend pattern, real-time job status dashboard (Server-Sent Events), contract results visualization with confidence indicators, file upload, and RBAC-enforced domain navigation with JWT authentication middleware.

• Created comprehensive tests with pytest unit/integration tests for AI components, Playwright E2E tests, fixture-based mocked LLM responses, and API contract validation. Tech Stack: OpenAI GPT-4o, Azure Document Intelligence, Snowflake Cortex Search, Python, FastAPI, Pydantic, TypeScript, React, Next.js, Go, PostgreSQL, AWS S3, pytest, Playwright, Docker, REST APIs, Server-Sent Events, JSON Schema, Zod, OAuth2/JWT

Gamma

Senior Software Engineer February 2024 – September 2025 Gamma is an AI-powered platform that transforms simple text prompts into professional presentations, documents, and web pages with custom designs, helping users bring their ideas to life in minutes.

• Architected and developed the next-generation AI-native presentation platform using React.js, Next.js, Redux, Chakra UI, and ProseMirror, delivering a seamless user experience with real-time multi-user editing.

• Built and optimized backend services with NestJS, TypeScript, Prisma, Apollo GraphQL, Redis, and PostgreSQL, ensuring scalable, low-latency data handling.

• Implemented real-time collaboration using CRDTs and WebSockets, supporting concurrent editing and conflict-free synchronization across devices.

• Designed and deployed large-scale AI streaming pipelines with Apache Kafka, enabling low-latency, real-time AI-driven content generation.

• Containerized and orchestrated infrastructure with Docker, Terraform, AWS, and Cloudflare, ensuring high availability and global distribution.

• Integrated state-of-the-art AI models including Claude (Anthropic), ChatGPT + DALL·E (OpenAI), and Gemini + Imagen (Google) for text, image, and presentation generation.

• Leveraged AIJSX for prompt orchestration, Braintrust for AI evaluation, and Datadog for observability across distributed AI systems.

• Pioneered an experimentation engine by integrating LaunchDarkly with Snowflake, enabling safe A/B testing of new AI models, prompts, and features with measurable impacts on conversion, retention, and user satisfaction.

Tech Stack: React.js, Next.js, Redux, Chakra UI, ProseMirror, NestJS, TypeScript, Prisma, Apollo GraphQL, Redis, PostgreSQL, Python, Apache Kafka, WebSockets, CRDTs, Docker, Terraform, AWS, Cloudflare, Claude, ChatGPT, Gemini, DALL·E, Imagen, AIJSX, Braintrust, Datadog, LaunchDarkly Cohere

Senior Full Stack Engineer April 2020 – January 2024 Cohere builds cutting-edge foundation AI models and developer-first products that power enterprise applications across chat, search, classification, and embeddings.

• Developed the Cohere Playground, an interactive interface that lets developers experiment with generative and embedding models, customize parameters, visualize embeddings in 2D, and export code snippets for direct integration.

• Built and maintained Cohere Docs, the company’s official developer documentation portal, including API references, integration guides, SDK workflows, and best practices for enterprise deployment. Improved developer onboarding by creating a structured, searchable documentation system with code examples and multi-language SDK support.

• Contributed to the Cohere Chat APIs, enabling enterprise clients to integrate real-time LLM-powered conversational AI into their applications with streaming responses, structured JSON output, function calling support, and retrieval-augmented generation (RAG) workflows at scale.

• Collaborated closely with research and product teams to integrate state-of-the-art LLMs and embeddings into production APIs, optimizing performance for retrieval-augmented generation (RAG), semantic search, and multilingual applications.

• Contributed to end-to-end full-stack development using Python, FastAPI, Node.js, React, Next.js, and TypeScript, deploying services with Docker, Kubernetes, and REST APIs for high availability and scalability.

• Leveraged PyTorch and TensorFlow to integrate and fine-tune Cohere’s LLM and embedding models, supporting both experimentation and production workloads.

• Collaborated closely with applied research teams to ship developer-friendly tooling for AI Agents, semantic search, and retrieval pipelines.

Tech Stack: Python, Node.js, FastAPI, React, Next.js, TypeScript, JavaScript, Docker, Kubernetes, REST APIs, TensorFlow, PyTorch, LLMs, AI Agents

Aisera

Software Engineer June 2017 – February 2020

Aisera offers AI-driven service management solutions, automating IT, HR, and customer service operations to enhance user experiences and operational efficiency.

• Engineered an AI-driven HR chatbot (HR Copilot) to automate human resource processes, including employee onboarding, leave requests, and policy queries.

• Designed conversational AI flows with contextual memory and intent recognition using advanced NLP techniques.

• Designed multi-intent context management system for long conversations, improving resolution accuracy by 45%.

• Developed backend orchestration flows using Node.js, Django, and Kafka to automate HR ticketing and approvals. Developed automation scripts using Python and JavaScript to streamline repetitive HR workflows, reducing manual intervention by 40%.

• Integrated Workday, SAP, and Oracle HRIS APIs to enable self-service HR actions through chat.

• Implemented secure OAuth-based authentication and fine-grained role-based access control (RBAC) for enterprise HR solutions.

• Built real-time HR dashboards using React and D3.js to visualize ticket volume, response times, and satisfaction scores.

• Created Cypress E2E test suites covering 85% of critical workflows for release automation. Tech Stack: React.js, Node.js, TypeScript, Python, Django, GraphQL, PostgreSQL, Kubernetes, AWS Wipro

Software Engineer July 2011 – May 2017

Wipro is a leading global information technology, consulting, and business process services company, delivering solutions to enable clients to do business better.

• Modernized a major banking client’s legacy loan platform by rewriting UI in React and backend in Spring Boot.

• Built microservices for real-time risk scoring and fraud detection using Java, Kafka, and Redis.

• Migrated legacy monoliths to Kubernetes clusters on Azure, reducing infra costs by 35%.

• Created custom dashboards using React + D3.js for retail inventory analytics with real-time refresh.

• Implemented CI/CD pipelines using Jenkins + Terraform to fully automate testing and blue-green deployments.

• Mentored junior engineers through code reviews, design sessions, and bootcamps. Tech Stack: Java, Spring Boot, React.js, Python, Django, AWS, Azure, Docker, Kubernetes, Jenkins, Terraform

Education

Bachelor of Science, Computer Science 08/2007 - 04/2011 California State University, Sacramento Sacramento, CA

Contact this candidate