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claws
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Status: Submitted
Last saved: February 21 at 6:24 PM EST
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Vivek Pothina Team Lead RSVP Approved
Software Engineer III at JPMC
Vivek is responsible for the intelligence layer that connects the pipeline to the canvas. They integrate CopilotKit and register the useCopilotAction hooks for every widget tool, write the Vichar system prompt that gives Claude its research analyst persona, build the Thinking Stream panel that shows Claude's live reasoning, implement workspace memory so Claude reads what it already built before adding new widgets, handle workspace persistence through Redis so the canvas survives a page refresh, and own all the UX pieces โ the landing page, workspace routing, the DropZone with drag-drop and URL input, and the header controls.
I'm the trusted go-to engineer in the team for solving a tough bug, rapidly building the next PoC; known for quickly grasping concepts and delivering pragmatic and high-impact solutions.
App and web development, very interested in AI integrated apps. Interested in providing value through SaaS and fintech solutions.
Finishing up a personal finance tracker tool built on top of Plaid.
Building with openclaw and opencode on my own VPS.
Sai Chaitanya Pachipulusu RSVP Approved
Machine Learning Engineer/Data Analyst at Cortracker
Chaitanya is responsible for everything that happens before Claude sees the content. They build the file upload endpoint that accepts PDFs, text files, and URLs, chunk the content with overlap so context is preserved, connect the Claude API for streaming analysis, set up Redis and Upstash for storing vector embeddings and session state, and wire up the semantic search endpoint. They also handle source grounding so every insight can be traced back to the exact chunk it came from
Hi. I am a seasoned ML engineer. Currently working on Quantization and distillation of LLM to make them work on devices with limited capacity GPU power and resources. I'm open to full time opportunities and help founders build their POC.
GenAI, LLMs, Deep Learning, Data Analysis
Reducing LLMs to SLMs for on premise applications
Sumit Shah RSVP Approved
Student at NYU
Sumit helped with preparation of the content, files and helped in editing the video.
Sumit Shah is a Software Engineer and a Student at New York University, studying Computer Science. He is also an AI Engineer (Research & Development) and is open to new opportunities and full-time work.