Tirth Chaitanyakumar Patel led an eight-week, zero-downtime migration of 150+ microservices and 30TB of data for a Fortune 500 retailer. His cloud strategy, built on blue-green deployments and real-time traffic mirroring, cut costs by $2.7M monthly while boosting agility—setting new benchmarks for enterprise cloud transformation.
Muruganandan Durai Raj, Lead Solutions Consultant, pioneered a secure SAP integration for a Fortune 100 manufacturer, linking isolated ERP systems without breaking network separation. His automated data synchronization achieved 90% faster processing, 25% quicker audits, and industry recognition through the 2022 Project Excellence Award.
Ramadevi Nunna, Senior Data Engineer, led a full-scale financial system modernization for a top financial institution. By architecting Azure-powered workflows and secure automation, she cut manual processing by 40%, ensured zero-loss incentive payouts, and set new standards for cloud-native financial operations and data security excellence.
Manish Ravindra Sharath transformed enterprise decision-making by architecting a unified PySpark-powered data pipeline that cut reporting time from 30+ hours to 30 minutes. His system achieved 99% efficiency, 40% cost reduction, and 30% faster deal closures—turning fragmented data into billion-dollar insights driving global business performance.
Nithin Subba Rao, a Six Sigma Black Belt and manufacturing excellence leader, drove a $100M turnaround of a U.S. facility once losing $20M annually. Through data-driven strategy, lean manufacturing, and continuous improvement, he cut scrap from 20% to 6%, reduced $2.5M in overtime to $150K, and turned crisis into sustainable competitiveness.
Ashok Reddy Thammineni, a seasoned SAP architect, led a Fortune 500 consumer goods company’s S/4HANA migration—reducing system downtime by 30% and unifying operations across global markets. His hybrid Greenfield–Brownfield strategy and advanced automation enabled seamless modernization, setting new benchmarks for enterprise digital transformation.
Saatwik Gilakattula, a Microsoft Azure–certified architect, led the creation of a Digital Factory platform that enabled 24,000+ energy installations and reduced peak load by 29 MW. At just $455–$626 per kW saved, his innovation outperformed traditional generation costs—redefining sustainable efficiency, scalability, and operational reliability in the utility sector.
Rajeev Rungta, a seasoned Supply Chain Architect, led a billion-dollar Oracle Cloud transformation across America, Europe, and Asia—standardizing global processes, improving data consistency, and achieving go-live during the pandemic. His leadership set new benchmarks for resilience, efficiency, and digital innovation in manufacturing supply chains.
Tel Aviv, Israel, October 28th, 2025/Chainwire/–Orbs, the leading Layer-3 infrastructure provider, today announced that QuickSwap, one of the longest-standing decentralized exchanges in DeFi, has integrated Perpetual Hub Ultra, powered by Orbs. The integration introduces institutional-grade perpetual futures trading to Base, marking another major deployment of Orbs’ modular Layer-3 infrastructure across leading DEXs. Through this integration, … Read more
The crypto market in 2025 is filled with questions. Many investors are asking which crypto actually has a real product behind it. Mutuum Finance (MUTM) is one name that keeps coming up. It stands out because it combines live tools, smart token design, and a real platform that will soon go live. Mutuum Finance (MUTM) … Read more
Table of Links Abstract and 1. Introduction Related Work Method 3.1 Class-label Extraction and Exemplar Selection for FSOC 3.2 Instance Detection Module (IDM) and 3.3 Point Prompt Selection Module (PPSM) 3.4 Feedback Mechanism New Dataset (PerSense-D) Experiments Conclusion and References A. Appendix 4 New Dataset (PerSense-D) PerSense utilizes DMs, generated by FSOC, for point prompt … Read more
Table of Links Abstract and 1. Introduction Related Work Method 3.1 Class-label Extraction and Exemplar Selection for FSOC 3.2 Instance Detection Module (IDM) and 3.3 Point Prompt Selection Module (PPSM) 3.4 Feedback Mechanism New Dataset (PerSense-D) Experiments Conclusion and References A. Appendix 3 Method We introduce PerSense, a training-free and model-agnostic one-shot framework designed for … Read more
:::info Authors: (1) Muhammad Ibraheem Siddiqui, Department of Computer Vision, Mohamed bin Zayed University of AI, Abu Dhabi (muhammad.siddiqui@mbzuai.ac.ae); (2) Muhammad Umer Sheikh, Department of Computer Vision, Mohamed bin Zayed University of AI, Abu Dhabi; (3) Hassan Abid, Department of Computer Vision, Mohamed bin Zayed University of AI, Abu Dhabi; (4) Muhammad Haris Khan, Department … Read more
Write-heavy databases demand low-latency performance and efficient scaling. This guide explains how to optimize for throughput and reliability using LSM trees, smart batching, compression tuning, and proper compaction strategies. Learn key tips from ScyllaDB, Cassandra, and real-world use cases like IoT, gaming, and e-commerce.
Table of Links Abstract and 1. Introduction Background Method Experiments 4.1 Multi-hop Reasoning Performance 4.2 Reasoning with Distractors 4.3 Generalization to Real-World knowledge 4.4 Run-time Analysis 4.5 Memorizing Knowledge Related Work Conclusion, Acknowledgements, and References A. Dataset B. In-context Reasoning with Distractors C. Implementation Details D. Adaptive Learning Rate E. Experiments with Large Language Models … Read more
Table of Links Abstract and 1. Introduction Background Method Experiments 4.1 Multi-hop Reasoning Performance 4.2 Reasoning with Distractors 4.3 Generalization to Real-World knowledge 4.4 Run-time Analysis 4.5 Memorizing Knowledge Related Work Conclusion, Acknowledgements, and References A. Dataset B. In-context Reasoning with Distractors C. Implementation Details D. Adaptive Learning Rate E. Experiments with Large Language Models … Read more
How are you, hacker? 🪐 What’s happening in tech today, October 28, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, Cuban Missile Crisis Ends in 1962, St. Louis’s Gateway Arch is Completed in 1965, Italy Invades Greece in 1940, and we present you with these top quality stories. … Read more
The Model Context Protocol (MCP) defines a unified, standardized interface through which LLM-powered agents can access and operate external systems, such as cloud platform services, databases, or third-party APIs. By providing structured access to operational metadata and execution capabilities, MCP transforms an LLM from a passive code generator into an active orchestration agent. Render, a … Read more
AI startups raised over $3.6 billion this week across infrastructure, wearable AI, enterprise automation, and fintech innovation. From record-breaking data center valuations to smart glasses powered by conversational AI, capital continued flowing to companies solving critical infrastructure bottlenecks and consumer experience challenges. Here are the highlights: Crusoe Energy Systems Powers AI Future with $1.38 Billion … Read more
In an era where tech companies have managed to achieve mind-boggling valuations thanks to the enormous hype surrounding AI and its ability to drive change, innovation, and extraordinary growth, it is perhaps time to step back and assess whether AI is really all that it is touted to be. What we are currently witnessing is … Read more
It always starts with a script. A quick Sharp resize here, a bucket upload there. Six months later, you’re juggling corrupted HEIC files from iPhones, angry support tickets about cropped foreheads, and a stack of technical debt that makes your “simple” profile image file uploader feel like a mini-project of its own. Sound familiar? Let’s walk through … Read more
As AI agents become increasingly sophisticated and integrated into our daily lives, particularly in roles like sifting through vast e-commerce catalogs, a silent and potent threat looms: prompt injection. This often-overlooked vulnerability can manipulate an AI agent’s directives, leading it astray, compromising data, or even executing unintended actions. For businesses relying on AI agents to … Read more
Table of Links Abstract and 1. Introduction Related Work Methodology 3.1 Background 3.2 Riemannian Optimization 3.3 Towards Efficient Architectural Components Experiments 4.1 Hierarchical Metric Learning Problem 4.2 Standard Classification Problem Conclusion and References 4 Experiments 4.1 Hierarchical Metric Learning Problem In the following experiment, we extend HIER to the Lorentz model (LHIER) and compare against … Read more
Table of Links Abstract and 1. Introduction Related Work Methodology 3.1 Background 3.2 Riemannian Optimization 3.3 Towards Efficient Architectural Components Experiments 4.1 Hierarchical Metric Learning Problem 4.2 Standard Classification Problem Conclusion and References 3.1 Background 3.2 Riemannian Optimization Optimizers for Learned Curvatures In their hyperbolic learning library GeoOpt, Kochurov et al. [21] attempt to make … Read more
:::info Authors: (1) Ahmad Bdeir, Data Science Department, University of Hildesheim (bdeira@uni-hildesheim.de); (2) Niels Landwehr, Data Science Department, University of Hildesheim (landwehr@uni-hildesheim.de). ::: Table of Links Abstract and 1. Introduction Related Work Methodology 3.1 Background 3.2 Riemannian Optimization 3.3 Towards Efficient Architectural Components Experiments 4.1 Hierarchical Metric Learning Problem 4.2 Standard Classification Problem Conclusion and … Read more
Utility apps struggle to monetize through ads or paywalls without harming user experience. Passive monetization via SDKs offers a privacy-compliant, non-intrusive alternative, enabling background revenue without disrupting functionality. This model fits utility apps well and signals a shift away from the saturated attention economy.
HackerNoon spotlights Social Links, a U.S.-based OSINT leader operating in 80+ countries. The company aggregates 500+ data sources—from social media to the Dark Web—to help law enforcement and enterprises analyze digital footprints. Its recent Crimewall launch in Brazil and AI cyber-awareness research underscore its global impact.
What happens when a protocol handling billions meets a network measured in millions? The question matters because Etherlink, the Tezos Layer 2 blockchain, now hosts one of the fastest-growing lending protocols in decentralized finance. On October 28, 2025, Oku, a non-custodial aggregator developed by GFX Labs, integrated Morpho Protocol on Etherlink. This deployment gives Tezos … Read more
Can a DEX Built Around Stablecoins That Generate Returns Change How Crypto Markets Work? Terminal Finance filled three pre-deposit vaults to capacity before opening for business. The Seoul-based decentralized exchange, incubated by Ethena Labs, collected 225 million USDe, 10,000 WETH, and 100 WBTC from participants who wanted early access to what the team calls the … Read more
APIs and MCPs both let systems communicate, but they serve different audiences. APIs are built for developers to connect software, while the Model Context Protocol (MCP) is built for AI models to safely use tools and access data without executing unsafe code. MCP acts as a controlled bridge — defining tools, schemas, and permissions so … Read more