Himanshu Tayal is a seasoned professional currently serving as the Principal Product Manager at AWS. With a strong background in product management, cloud computing, and leadership, he leads product ideation and development at Amazon Web Services (AWS) in Seattle, Washington. Himanshu's extensive network of over 500 connections on LinkedIn reflects his well-established presence in the professional community.

Product management, cloud computing, AWS, leadership, networking, software development, machine learning system implementation, blockchain technology.

Multi agent based systems to improve productivity for developers and consumers. Also, looking into simplifying supply chain processes with AI agents.

Software Developer with experience in backend development, cloud computing, database management, and machine learning. Skilled in Python, Django, AWS, PostgreSQL, Docker, and PyTorch, I specialize in building scalable and efficient software solutions. I have experience designing secure APIs, optimizing cloud deployments, managing relational and NoSQL databases, and developing AI-driven applications. My work spans startups, research, and emerging technology, focusing on delivering impactful and high-performance software. Passionate about solving complex problems and building innovative solutions at the intersection of software engineering, AI, databases, and cloud infrastructure.

Interested in full-stack development, backend API design, and scalable cloud app deployment. Passionate about database architecture (SQL/NoSQL), performance tuning, and secure API integration. Actively exploring generative AI, LangChain, and vector databases. Open to collaborating on developer tools, ML-powered platforms, and real-time systems that bridge backend engineering with modern AI capabilities.

At Courtside Video Entertainment, I developed and deployed a Django-based web app powering real-time content updates across 14 Raspberry Pi displays at live basketball events. I integrated three Lua modules into a unified signage system, cutting setup complexity by 50%, and configured AWS EC2 and Nginx for high availability. The system supported 5,000+ attendees per event and multiple live broadcasts, improving content delivery speed by 30%.

PhD in computer science. Full-time software engineer since 2007 at startups, eBay, Google, Meta, Cresta and now Adobe. Specializing in machine learning since around 2010, but passionate about all aspects of software engineering and data science.

Practical applications of large language models, techniques for deploying large language models cost-efficiently, agentic AI.

Adobe Brand Intelligence (https://business.adobe.com/products/brand-intelligence.html)

I'm Amina Mamasheva, a recent computer science graduate with a strong interest in software engineering and cybersecurity. I'm proficient in algorithms and data structures, and I continuously strengthen my skills by solving complex problems on LeetCode and other competitive programming platforms. I have experience in both front-end and back-end development through course projects, working with technologies such as HTML, Handlebars, CSS, UI/UX design, Node.js, Express, and Java. I also have a solid foundation in databases, including SQL (MySQL, PostgreSQL) and NoSQL systems. Outside of tech, I'm passionate about nature, animals, and space exploration, which fuels my curiosity and creativity in problem-solving. I'm excited to collaborate with others to build innovative solutions.

Artificial Intelligence, Cybersecurity, Software Development.

I'm currently building a task manager desktop app using Java, JavaFX, and PostgreSQL, with plans to transition it into a Spring Boot web application integrated with an AI agent to enhance its effectiveness. This project is part of my broader goal to gain hands-on experience in full-stack development, AI modeling, and agile workflows.

Hi, my name is Anuj Nimkar. I am currently working as a Business Intelligence Engineer. I have a Computer Science Background and enjoy working on side projects and participating in Hackathons with an aim to learn and share with like minded people. I enjoy identifying gaps/problems in everyday life around me and building solutions to solve those problems.

- Learning from startup founders about their journey. - Application of AI agents to solve real world problems.

Data Infrastructure Search - Data Infrastructure Search aims to provide a quick and easy access to metadata (data dictionary, metric definitions) to data teams as this has been observed to be a challenge for data teams. https://www.producthunt.com/posts/data-infrastructure-search https://news.ycombinator.com/item?id=43821958 https://render-dda.onrender.com/?ref=producthunt