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CodeWeavers
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Last saved: May 09 at 6:14 PM PDT
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Sasivardhan Mamidigumpula Team Lead RSVP Approved
software engineer at Intuit
Sasivardhan led the end-to-end design and implementation of CodeLens, including the GitHub repository ingestion flow, backend analysis pipeline, agent orchestration, and interactive generative UI experience. He built the core feature that accepts a GitHub repository URL, fetches repository files using the GitHub API, analyzes source code imports and module relationships, and converts them into an interactive dependency graph.
He was responsible for integrating the agent workflow using LangChain/LangGraph-style orchestration and connecting the analysis output to the frontend through CopilotKit / AG-UI-style generative UI patterns. He also implemented the Next.js, React, and TypeScript frontend, including the graph visualization, search/filter controls, module inspector, architecture summary panel, and dynamic UI updates based on agent output.
**Abhilash** supported the frontend implementation and user experience design for **CodeLens**. He helped refine the interactive graph layout, improve the visual presentation of repository modules, and organize the UI so users can clearly understand code structure, dependency relationships, and architectural flow.
He contributed to the **React/Next.js** interface, including improvements to search, filtering, graph interaction behavior, loading states, and result presentation. He also helped test the GitHub URL input flow, validate generated dependency graphs across sample repositories, and polish the final demo experience for hackathon judges.
Together, the team used **GitHub API, Next.js, React, TypeScript, LangChain/LangGraph-style agent orchestration, and CopilotKit / AG-UI-style generative UI concepts** to build a working generative UI application that turns repository analysis into an interactive visual architecture dashboard.
Sasivardhan Mamidigumpula is an Engineering Lead, IAM at Intuit, with 10 years of experience. They have a background in Computer Science and Computer Science Engineering from the University of Texas at Tyler and Jawaharlal Nehru Technological University. Sasivardhan is a Software Developer with an AI focus and is open to work. They are interested in product review, technical architecture, and developer marketing, and are looking for knowledge sharing, community, customers, design partners, and talent. Sasivardhan prefers to be contacted via email and is open to introductions.
Product review, technical architecture, developer marketing, knowledge sharing with peers, community and friendships, customers, design partners, talent, identity and access management (IAM), authentication and authorization, AI-enabled security workflows, system design, cloud deployments, and software development with an AI focus.
No projects mentioned.
Abhilash Reddy Chitiki RSVP Approved
Software engineer at MCA
Abhilash supported the frontend implementation and user experience design for **CodeLens**. He helped refine the interactive graph layout, improve the visual presentation of repository modules, and organize the UI so users can clearly understand code structure, dependency relationships, and architectural flow.
He contributed to the **React/Next.js** interface, including improvements to search, filtering, graph interaction behavior, loading states, and result presentation. He also helped test the GitHub URL input flow, validate generated dependency graphs across sample repositories, and polish the final demo experience for hackathon judges.
Together, the team used **GitHub API, Next.js, React, TypeScript, LangChain/LangGraph-style agent orchestration, and CopilotKit / AG-UI-style generative UI concepts** to build a working generative UI application that turns repository analysis into an interactive visual architecture dashboard.
Abhilash Reddy Chitiki is a Software Engineer at Accenture, with 4 years of experience. He is based in the San Francisco Bay Area and holds a degree in Computer Science from The University of Texas at Arlington. Abhilash is actively building RAG and agentic workflows for healthcare data, with notable projects like "Memory Concierge" and a Chess AI. He is open to introductions and prefers to be contacted via email for partnerships, product reviews, and developer marketing. Abhilash is seeking knowledge sharing, community, customers, design partners, and speaking opportunities.
RAG, agentic workflows, LLM orchestration, LangChain, LangGraph, Semantic Kernel, Azure OpenAI, retrieval systems, Azure AI Search, pgvector, healthcare AI, clinical data structured signals, Python, FastAPI, Django, PostgreSQL, Docker, AKS, Next.js, TypeScript, Llama 3, Chess AI, MCTS, Reinforcement Learning, backend engineering, full-stack development, knowledge sharing, community and friendships, customers, design partners, speaking opportunities, partnerships, developer marketing
Abhilash is building RAG and agentic workflows to transform clinical data into structured signals for healthcare. Key projects include "Memory Concierge," a full-stack app using Next.js, TypeScript, and Llama 3, and a Chess AI utilizing Python with MCTS and Reinforcement Learning. He orchestrates LLM services using LangChain, LangGraph, and Semantic Kernel with Azure OpenAI, managing retrieval via Azure AI Search and pgvector, and deploying backend services on FastAPI, Django, and AKS.