Engineering
Curated experts and resources for engineering.
Recommended Experts (14)
Mahesh Ram
1206 messages
Community member active in community, gtm strategy, and sales operations.
Observed Signal
Prabhat Sharma
40 messages
Community member active in startup ops, ai ml, and financial ops.
Observed Signal
Aditya Rohit
172 messages
Community member active in product development, engineering, and b2b saas.
Protik
121 messages
Community member active in product development, engineering, and ai ml.
Ravi Kumar Chivukula
43 messages
Community member active in ai ml, community, and enterprise sales.
Rafi Dudekula
31 messages
Community member active in ai ml, startup ops, and engineering.
Shreesha Ramdas
390 messages
Community member active in community, startup ops, and fundraising.
Rahul K 💯
39 messages
Community member active in community, product development, and ai ml.
Kannan
55 messages
Community member active in community, ai ml, and startup ops.
Observed Signal
Vijay Chakravarthy
327 messages
Community member active in product development, gtm strategy, and enterprise sales.
Satish
42 messages
Community member active in ai ml, startup ops, and compliance.
Anurag Singhal | quattr
35 messages
Community member active in marketing, ai ml, and startup ops.
Shiv Sundar
34 messages
Community member active in marketing, ai ml, and india ops.
Karan Keswani
34 messages
Community member active in community, ai ml, and engineering.
Resources (5)
Zoom's Federated AI Approach for Quality and Performance
Technical deep-dive by Zoom's CTO Xuedong Huang (co-authored with Mahesh) explaining Zoom's federated AI architecture. The post covers how Zoom balances quality, performance, and affordability by using multiple models for different features rather than a one-size-fits-all approach. Provides insights into building production AI systems at scale.
Rec For:AI product leaders and CTOs building multi-model systems who need to optimize for both quality and cost at enterprise scale.
How Zoom's Federated AI Maximizes Performance, Quality, and Affordability
Continuation of Zoom's federated AI series, detailing the architecture and decision framework for model selection across different use cases. Explains how federated approach enables cost optimization while maintaining quality standards. Written by Zoom leadership to share enterprise AI implementation patterns.
Rec For:Technical leaders and product managers implementing AI features who need to balance cost, quality, and performance trade-offs.
The LLM Reasoning Debate Heats Up
Analysis of the ongoing debate around whether large language models truly 'reason' or simply pattern-match. Examines recent research and industry perspectives on LLM capabilities, limitations, and implications for product development. Referenced by community members discussing 'frontier models perform competently even on novel tasks.'
Rec For:AI product builders and technical leaders who need to understand current LLM capabilities and limitations for product planning.
OpenObserve - Open Source Observability Platform
Open source observability platform with 15k+ GitHub stars, alternative to Grafana/Loki/Tempo stack. Founded by Funda member Prabhat Sharma. Community members noted: 'Alertmgr+grafana+tempo+loki+sentry stack will cost you tons in setting up and managing them.' OpenObserve simplifies observability with a unified platform.
Rec For:Engineering teams needing cost-effective observability solutions, or founders evaluating alternatives to expensive commercial platforms.
Understanding Apache, GPL, and AGPL Licenses: Why OpenObserve Moved to AGPL
Comprehensive guide to open source licensing written by OpenObserve founder Prabhat Sharma. Explains the differences between Apache, GPL, and AGPL licenses and the strategic reasoning behind OpenObserve's license change. Addresses common confusion around open source licensing for commercial projects.
Rec For:Open source founders navigating licensing decisions, or technical leaders evaluating commercial open source products and understanding license implications.