venki/eugene/shahil

Project Concept

CallFlow is an AI-powered call center solution that combines automated responses with intelligent human oversight. The system uses a confidence-based routing approach to handle customer inquiries - automatically resolving routine matters while escalating complex cases for human approval. Through its verification classifier layer and real-time monitoring dashboard, CallFlow helps human agents focus their attention where it’s most needed, ultimately improving response times and service quality while reducing operational costs.

Entry

Status: Submitted

Last saved: November 03 at 2:10 PM PST

View Entry

Team Roster

Message board not available for this team yet.

Venki Kumar Team Lead RSVP Approved

Software Engineer (Applied AI) at Limitless

Worked on the safety validator system, the HumanLayer integration, and parts of the frontend and the LLM backend.

ML engineer, prev limitless.ai, apple.com

Not sure! I’m in AI right now, but I’m also interested in making inefficient sectors efficient (healthcare, govt), making software & ai development better (devtools, apis) and improving the outcomes of aging.

Blogsky, a substack/rss to bluesky mirroring service. https://bsky.app/profile/blogsky.venki.dev Most recently I was at Limitless - building the Pendant, a hardware wearable.

Shahil Manoj Dhotre RSVP Approved

AI Engineer at Chima

Worked on the backend audio pipelines: ensuring that we had high quality transcripts & audio inputs - investigated a variety of solutions in this space from PipeCat to Vapi, and found us the best one.

I am an AI Engineer at Chima, specializing in LLM and Prompt Engineering. I completed a Master's degree in Electrical and Electronics Engineering with a focus on Machine Learning and Systems at North Carolina State University. With 2 years of industry experience, I have developed forecasting systems and improved computer vision models during his internship at Toshiba Global Commerce Solutions. My technical skills include Python, prompting, LLMs, Stable Diffusion, and PyTorch. I am actively seeking full-time opportunities in the machine learning domain and is open to relocation.

Machine Learning, Computer Vision, Time Series Analysis, AI Tools, LLM and Prompt Engineering, Image Generation, Statistical Modeling, Azure, Python, Stable Diffusion, PyTorch.

I am currently involved in generating images and videos using AI tools to develop an end to end automated Video generation agent which will personalized the videos according to user requirement. I am also pursuing a patent in the retail industry, focusing on a project that utilizes Computer Vision for enhanced data processing and analysis.

Eugene Vuong RSVP Approved

President at HackHayward

Worked on the frontend, as well as built out our voice agent <-> custom LLM agent integration layer.

Eugene Vuong is the President of HackHayward and serves as an Operations Lead at Google Developer Student Clubs (GDSC). He is currently a Computer Science student at California State University - East Bay, where he has gained valuable experience as a Machine Learning Research Intern at Berkeley Lab and as an IT Support Technician. Eugene has a strong foundation in programming and data analysis, with skills in operations management, Python, machine learning, and web scraping. He has been recognized as an AP Scholar with Distinction and has contributed to various projects on GitHub, showcasing his technical abilities in web development and data processing.

operations management, Python programming, machine learning, web scraping, data analysis, web development, data processing technologies

Eugene Vuong is currently working on several technical projects, including a web scraper designed to gather data efficiently and an educational application aimed at teaching math concepts. He utilizes Python and machine learning frameworks like PyTorch in these projects. Additionally, he contributes to various repositories on GitHub, showcasing his skills in web development and data processing technologies.