# Raviraj Khopade > Software Engineer | AI/ML & AI-Native Full-Stack Development | Python, FastAPI, RAG, LLMs, React, AWS | 4+ YOE Location: San Jose, California, United States Profile: https://flows.cv/raviraj Software Engineer with 4+ years of experience building full-stack, AI-native web applications from the ground up. Currently serving as a founding engineer at an early-stage startup, leading zero-to-production development of multiple AI-powered platforms using RAG pipelines, LLM APIs (OpenAI, Claude), agentic AI workflows, and modern cloud infrastructure. Deep expertise in Python, FastAPI, React, vector databases (pgvector, Pinecone), and AWS, with a strong foundation in Java/Spring Boot microservices, CI/CD, and observability. Experienced in prompt engineering, LangChain, real-time data ingestion, and MLOps pipelines. Proven ability to take products from zero to pilot across healthcare, legal, and consumer domains. Previously contributed to large-scale systems at Uber, Capgemini, and Airbnb working across microservices, feature flagging, real-time dashboards, and cloud deployments on AWS and Azure. ## Work Experience ### Software Engineer - AI Generalist @ Aestari Jan 2025 – Present | United States • Core founding engineer at an AI startup, leading full-stack development of multiple AI-native platforms across healthcare, legal, and consumer verticals • Developing Sensiva Lab — an LLM-driven lab recommendation platform using RAG pipelines, OpenAI/Claude APIs, and pgvector, delivering intelligent test suggestions across 50+ biomarker categories; zero to pilot in 3 months • Developing Physiome — a health intelligence engine ingesting lab results and wearable data from 5+ sources via RAG pipelines, with sub-second real-time ingestion using FastAPI and Redis • Developing Scout — a location-aware car deal aggregator across 10,000+ listings, with Python scraping pipelines eliminating ~80% of manual comparison effort • Developing Sentinel Law — a multi-stakeholder claims management platform unifying 4 roles, with AI-driven document review via Claude API reducing case prep time by 50% • Provisioning AWS infrastructure with Docker, Terraform IaC, MLOps CI/CD, achieving 99.5% uptime; refining retrieval strategies with LangChain and Pinecone, reducing hallucination rates by 35% ### Software Engineer @ Uber Jan 2025 – Jan 2025 | San Francisco, California, United States • Developed a responsive React.js dashboard with role-based access, integrating WebSockets, GraphQL, and Redux for real-time driver performance tracking, improving usability and engagement by 30% • Implemented Java/Spring Boot microservices to manage driver incentives and backend integrations with payout and analytics systems • Built feature flagging infrastructure with LaunchDarkly, enabling real-time config changes, controlled rollouts, and granular A/B testing without code redeploys • Instrumented observability with OpenTelemetry, Grafana, and CloudWatch, reducing incident resolution time by 40% • Streamlined CI/CD via GitHub Actions, containerized services with Docker, and deployed to AWS ECS (Fargate) and Lambda for zero-downtime blue-green releases ### Build Student Consultant, Developer @ The Build Fellowship by Open Avenues Jan 2025 – Jan 2025 | Chicago, Illinois, United States Completed a Build Project “Develop a Tool to Store & Share Password Securely” under the supervision of the industry expert Bhupendra Singh Thakur. • Developed a secure password storage and sharing tool with a Node.js and Express.js backend, and Retool.com for frontend. • Implemented encryption for stored passwords, user authentication for secure access, used PostgreSQL as the database, and deployed the application on Render. ### Associate Software Engineer @ Capgemini Jan 2022 – Jan 2023 | India • Developed the “Client Onboarding” platform from scratch using React.js, Redux, and Java microservices, improving client onboarding time from 2 days to 30 minutes and supporting dynamic UI rendering across modules. • Created and maintained secure RESTful APIs using Spring Security, JWT, and Spring Boot and Spring MVC, ensuring consistent integration between backend and frontend services while enabling role-based access control. • Deployed containerized Java microservices with Docker into Azure App Services via Azure DevOps pipelines, reducing deployment time and improving scalability across dev, QA, and prod environments. • Engineered Azure Function Apps and integrated Azure Blob Storage for automated KYC background checks and secure document storage, increasing compliance processing efficiency by 60%. • Optimized SQL queries and designed PostgreSQL schema to streamline document workflows, improving performance and reducing latency by 40%. • Implemented unit testing using JUnit and incorporated SonarQube for static code analysis within CI/CD, reducing code quality issues and enhancing test coverage. • Collaborated in Agile Scrum teams using Azure Boards to manage sprints, tasks, coordinating with product, QA, and UI/UX teams to meet changing requirements. ### Software Engineer @ Capgemini Jan 2021 – Jan 2022 | India • Migrated the Tikkie payment app frontend from Angular to Vue.js, enhancing UI responsiveness and reducing page load time by 40%. • Engineered a Vue.js dashboard for real-time sales and customer analytics, enabling data-driven decisions that boosted campaign targeting efficiency by 60%. • Maintained and standardized LIT web components across modules, reducing redundant UI development effort and streamlining consistency across applications. • Developed and integrated Jenkins-based CI/CD pipeline with SonarQube, improving code quality and reducing build errors by 30%. • Implemented unit tests using Jest and automated E2E tests via TestCafe, achieving 95% code coverage and accelerating QA cycles. • Built Angular-based admin panel for inventory workflows and optimized SQL queries to reduce analytics reporting time by 5+ minutes. • Deployed JavaScript-based microservices on AWS EC2 and utilized S3 for scalable storage, maintaining 99% uptime during high-volume usage. • Designed AWS Lambda functions for real-time product recommendations and inventory synchronization, improving backend performance by 35%. • Maintained project documentation on Confluence and used GitHub for version control, reducing merge conflicts and onboarding time by 30%. ### Software Engineer Intern @ Capgemini Jan 2021 – Jan 2021 | India • Led a team of 4 to develop a full-stack NGO portal web application using Java Spring Boot and Angular, completing the project within 2 months. • Designed and implemented RESTful APIs to enable smooth communication between frontend and backend layers, using MySQL for efficient data storage and retrieval. • Built user-friendly interfaces with Angular, implementing form validation, navigation, and modular components to enhance usability for NGO administrators and users. • Conducted functionality testing and bug fixing throughout development, ensuring application stability and reliability before the final handover. ### Software Engineer Intern @ Airbnb Jan 2020 – Jan 2021 ## Education ### Master's degree in Computer Science Illinois Institute of Technology ### Bachelor of Engineering - BE in Electronic and Telecommunications Engineering Savitribai Phule Pune University ## Contact & Social - LinkedIn: https://linkedin.com/in/ravirajkhopade --- Source: https://flows.cv/raviraj JSON Resume: https://flows.cv/raviraj/resume.json Last updated: 2026-04-18