Shreyas Lad

- Employee #4 on the FDE team - Responsible for driving AI adoption in PE-backed and specialty-care healthcare clinics - Designing and building software to handle front-office administration, revenue cycle capture, and payer intelligence

Building a unified intelligence layer. Come work with us! Next.js, Go, Python, Postgres, AWS. https://intual.ai

Employee #2 on the AI team: took ownership of technical direction in a high-growth environment • Delivered 5+ customer-facing features to 200+ B2B customers, driving product-market fit • Designed and deployed unified AI REST API & microservices architecture from concept to production • Built distributed AWS systems for fault-tolerant file processing and real-time conversations using AWS Bedrock • Established engineering standards by implementing cross-account CI/CD and standardized development environments

• Dreamt and built an intelligent sales copilot leveraging generative AI for customer sales training • Architected serverless solutions using AWS Lambda, API Gateway, and Step Functions for document processing • Deployed vector database infrastructure for context-aware search capabilities, demonstrating forward-thinking approach to AI applications • Utilized infrastructure as code (AWS CDK) to ensure maintainable deployments across environments

- Led the development of global, low-latency APIs to automate programming competitions (Developed in Python) - Utilized AWS API Gateway, AWS Lambda, and AWS DynamoDB - Automated the real-time aggregation of competition submission data, allowing YCW to track student progress and gaps in knowledge for 150+ students / semester - Raised $1k in funding for YCW's infrastructure - Configured monitoring tools (such as CloudWatch and BetterUptime) to track service latency and uptime Implemented security best practices: multi-account architectures (AWS Organizations), SSO access, security guardrails, and static code analyzers - Heavily utilized CDK & CloudFormation to standardize and automate infrastructure provisioning - Created CI/CD pipelines to automate deployment to dev, staging, and production environments

- Managed team of 10+ staff members to engage and challenge students - Led the planning, design, and execution of 4 large-scale programming competitions - Worked with tutors across multiple programming languages to implement demos during workshops - Utilized Airtable to keep granular track of objectives, tasks, assignments, and deadlines to manage time and work - Continuously brainstormed and implemented weekly interactive programming demos during workshops to keep students engaged - Established after-school extracurricular programming classes at 3 local middle schools, on top of workshops already running on weekends

- Developed robots that functioned as a swarm to complete complex tasks - Utilized Raspberry Pi Zeros, ran onboard image recognition and pathfinding - Robots streamed data to AWS IoT and established MQTT connections via Greengrass - Developed a Linux daemon to handle IoT device initialization and data streaming - Lambda functions published instructions to MQTT topics to give robots instructions after analyzing streamed data Worked extensively with serverless computing (AWS Lambda), Timestream, S3, and AWS IoT