Rahul Gopathi

Full-Stack Solution Design: Designed and implemented full-stack solutions with Next.js, TypeScript & FastAPI, delivering pixel-perfect UI and incorporating Redux for state management and RTK Query for efficient data fetching.

AI Chatbot Engineering: Engineered chatbot leveraging Lang Chain and LangGraph by converting OpenAPI specification into callable tools and integrating RAG pipelines to enrich responses with user documents context.

API-to-MCP Server Converter: Developed a tool to auto-generate a deployable MCP server from any OpenAPI specification, allowing developers to seamlessly embed external APIs as callable tools within AI agent frameworks.

MCP Authentication Gateway: Extended an open-source MCP Python server and client into an authentication gateway supporting OAuth1, OAuth2 ROPC, with inifinte horizontal scaling, dynamic per-user tool filtering.

AI Video Generation Engine: Built a scalable multi-agent orchestration pipeline with Autogen to automate end-to-end AI video production from storylines or audio episodes: LLM-driven script generation, Flux-powered character portraits and image rendering, and Eleven Labs-synthesized voiceover and background music.

Social Media App Development: Developed core components of a social media application with a responsive Flutter frontend and a scalable Node.js backend, MongoDB, and implemented Redis caching for user feeds.

Containerization & Deployment: Containerized applications with Docker and implemented GitHub CI workflows, standardizing deployments across environments, reducing operational overhead, and improving rollout consistency.

OpenStack Magnum Deployment: Successfully researched, configured, and deployed OpenStack Magnum to a test environment, making Kubernetes available as a service to streamline container orchestration and management.

High Availability (HA) Mode Deployment: Deployed the system in High Availability (HA) mode, ensuring fault tolerance and reliability for critical operations. Developed and implemented Ansible playbooks to automate deployment processes, reducing manual effort and improving reproducibility.

Process Documentation: Documented the entire deployment process, creating a comprehensive guide for future implementations and ensuring clarity for team members and stakeholders.

Recognition and PPO Offer: Received a Pre-Placement Offer (PPO) for exceptional performance during the internship, demonstrating a strong ability to deliver impactful solutions and exceed expectations.

AWS Resource Optimization: Developed JavaScript automation scripts to identify and remove unused AWS resources, including EC2 instances and EBS volumes, enhancing cloud resource management and efficiency.

Cost-Saving Measures: Automated cost-reduction strategies by implementing features such as disabling fast snapshot restore and transitioning storage volumes from GP2 to GP3, achieving significant cost savings of up to 30%.

Impact: Enabled substantial cost optimization in cloud expenditures, demonstrating expertise in leveraging automation to drive efficiency and reduce operational overhead.