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AI Tinkerers - New York City
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Team

AI Avengers

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Last saved: November 15 at 6:34 PM EST

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Sriram Muralidharan Team Lead RSVP Approved

Senior Software Engineer at JLG Industries
Sole developer of the customized product analyzing MCP API server hosted into production and can be used in any project by just giving it a product link and it will spit out the response
Sriram is a systems thinker, software engineer, AI engineer, and startup enthusiast. Drawing on the engineering practices he’s learned at startups he has led, managed, and contributed to, he builds and runs efficient systems without eroding the goal of goodness. Interests: Building backend, data infrastructure, and AI applications end to end—from development through deployment/production. Languages: Expertise in Python Other languages & frameworks: Java, JavaScript, R; Django; React Native Cloud platforms: Azure, AWS, GCP
Building simple, useful AI features powered by real user data—getting deep on the data, measuring what works, and improving fast with user feedback. Looking to connect with: Product-minded engineers/PMs, Startup Founders who ship user-facing AI and care about clear outcomes.
I am currently working on a AI powered youtube summarized ( which might sound simple) but on top of the general LLM usage and summarization, I am building video transcription layer that looks at videos and gets the information through the audio instead of relying on closed captions.

Shubham Jain RSVP Approved

Student at Stevens Institute of technology
Created Multi AI web agents (seacher, web crawler using tavily ,reranking ,synthesis,verification),Connected Redis
Shubham Jain is a Graduate Student in Applied Artificial Intelligence at Stevens Institute of Technology, with a background in Electrical/Electronics and Communications Engineering. He is open to new opportunities and has 3 years of experience.

Scott Williams RSVP Approved

AI Engineer at Muse
Copilot UI and merging of Dealfind and Reclaim AI ( MCP API product quality search )
I'm Scott, a graduate of The Colorado School of Mines with a Bachelor's in Computer Science and focus in Applied Math. I interned last summer, and have accepted a return offer, on the Data Engineering team at iCapital in NYC. During college, I spent almost as much time studying statistics and computational applied math, as I did focusing on CS concepts. Naturally, these two interests of mine intersected well in the AI/ML space. Additionally, I have built many projects using AWS/GCP, so currently I would say my skills fall heavily under the AI infrastructure/Engineering umbrella. In addition to my technical interests, I also love reading historical books, and am a lifelong athlete, as I have been playing ice hockey since I was 6 years old. My website: https://scottwilliams.win/
I am interested generally in the information retrieval and computer vision fields of study in the CS/AI/ML world. I have always been interested in the finance space. Specifically, I find the activities of both fintech companies (such as my current employer, iCapital), and quant/automated-trading firms (such as Citadel, HRT, etc), to be fascinating. Finally, I am interested, and have worked on projects, relating to automating content-creation for marketing purposes on social media platforms.
I am currently working on a tool called Muse with my co-founder, JP Broz. The tool uses fine-tuned vision embedding models, and a custom query engine, to efficiently search millions of rich document pages in an accurate manner. Once complete, the product will be an out of the box, end to end, solution for document retrieval across enterprise document collections. I am also working on optimizing for GPU utilization, to pass cost savings to end users of Muse.