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Product Engineering | Fintech | Credit Decisioning System

Ujjwal Bhattacharyya

Co-founder @Kanaka

Aniruddha Paranjape

Software Architect | Polyglot Programmer | Building Tech Teams | Connected Cars - IoT | Startup | AdTech | AI | ML

Rajendrakumar Rajguru

HR professional in the IT industry.

Niranjan Aradhye

At Kanaka, we specialize in Outsourced Product Development. Successful software products are not just about great ideas and cutting-edge technology, but also require an engineering mindset such as ours – that includes good planning, remarkable design, disciplined execution and a highly committed team with a sense of ownership. We understand the challenges that you as a software product company faces in the areas of Technology, Quality, Scalability, Timeline, Processes.

Kanaka Software specialize in Outsourced Product Development.

#AI #OpenAI #O1Pro #GenerativeAI #TechInnovation #ArtificialIntelligence #AIFuture #TechTrends #KanakaSoftware

Kanaka Software

As our journey through validation architectures concludes, let's address the ultimate challenge: Taking these systems to scale. Previous solutions work until they don't. Engineers usually hit this wall at 1000 requests/second: Perfect validation patterns, and distributed calibration in place - yet system-wide confidence accuracy dropped by 40%. The scaling challenge revealed new patterns: Scale-Aware Architecture: 1. Adaptive Validation - Load-based strategy selection - Criticality-aware processing - Resource optimization patterns 2. Dynamic Threshold Management - System load consideration - Request priority handling - Resource allocation optimization The breakthrough? Validation depth must adapt to both system load and request criticality. Implementation Focus: - Scale-aware validation strategies - Adaptive threshold management - Performance optimization patterns - Resource utilization frameworks Engineering leaders: What validation patterns have you found to be truly scalable? #ScalableAI #SystemArchitecture #Engineering

Building on our multi-step validation approach, we encountered a new challenge in distributed environments that fundamentally changed our thinking about confidence calibration. Real scenario: Three production nodes, same input query, three different confidence scores (85%, 92%, 76%). All nodes followed identical validation steps. This distributed calibration problem requires a different architectural approach: System Design Pattern: 1. Centralized Calibration Registry - System-wide confidence patterns - Node-specific adjustment mechanisms - Cross-node validation protocols 2. Distributed Confidence Management - Pattern recognition across nodes - Synchronization mechanisms - Drift detection protocols The key insight? Individual node calibration isn't enough. The system needs holistic calibration awareness. Implementation Considerations: - System-wide confidence metrics - Cross-node validation patterns - Calibration synchronization - Pattern-based adjustments Technical leads: Have you encountered confidence drift in your distributed AI systems? #DistributedSystems #AIArchitecture #Engineering

Now that we've established foundational validation architectures, let's tackle a deeper challenge: How do you implement reliable self-reflection in LLMs? Consider this scenario: Your LLM generates a database query, validates its own syntax, and reports "100% safe." Yet it missed a critical security vulnerability. The system checked its own work and got it wrong. Let's examine why traditional self-validation fails and how to architect reliable multi-step reasoning: Implementation Architecture: - Independent Validation Checkpoints • Generation validation • Pattern verification • Known vulnerability scanning • Context-aware safety checks Each step maintains its own confidence metric, creating a validation chain rather than a single confidence score. The key insight? Break down complex validations into independently verifiable steps, each with its own confidence threshold and verification mechanism. Critical Implementation Factors: - Validation step independence - Clear reasoning trails - Verifiable confidence metrics - Cross-step validation patterns Engineering leaders: How do you implement multi-step validation in your critical systems? #AIEngineering #LLM #SystemDesign

🚀 Dive into November's AI Pulse! Discover insights that matter in the ever-evolving AI world. This edition brings you a fresh perspective on innovations driving the future of technology. Stay informed, stay ahead! #AI #Innovation #KanakaSoftware #AIPulse #AINewsLetter #AITrends2024 , #AIForBusiness

#WebSearchAPI #AIIntegration #ClaudeAI #Anthropic #BraveSearchAPI #FunctionCalling #Python #ArtificialIntelligence #AI #KanakaSoftware

Picture this: Your LLM handles a complex query perfectly in testing. Then, it fails spectacularly in production - with the exact same input. This scenario drove us to rethink validation architecture from the ground up. Production Implementation Learnings: 1. Context Validation Instead of: "Is this response correct?" Ask: "Is this response correct IN THIS CONTEXT?" 2. Pattern Recognition - Historical accuracy correlation - Context-specific confidence calibration - Dynamic threshold adjustment The critical insight: Self-reflection needs to be environment-aware. Engineering Challenge Spotlight: How do you maintain validation rigor without impacting response time? Solution Pattern: - Asynchronous validation layers - Progressive confidence refinement - Cached context validation What's been your experience with context-dependent validation? Has anyone found a way to predict confidence drift in production? #ProductionAI #SystemDesign #LLM

"I'm 99% confident this treatment plan is correct." When an LLM makes this statement, how do we validate that confidence? More importantly - how do we validate it before the response reaches the user? Let's break down a production-tested pattern: Traditional Approach: "Recommended action: X" Confidence: 95% Enhanced Self-Reflection Architecture: "Analyzing recommendation: - Primary data validation ✓ - Historical pattern match: 92% - Edge case analysis: Running - Known limitation check: Clear Recommendation confidence: Stratified by impact level" The fundamental shift: Moving from singular confidence scores to layered validation hierarchies. Key Engineering Insight: System architecture needs to support rapid confidence calibration without significant latency impact. What's your threshold for acceptable confidence in production systems? How does it vary by use case? #TechnicalArchitecture #AIValidation #EngineeringLeadership

"The model works perfectly in staging." If you've heard this before, you know what usually comes next - production tells a different story. Especially with LLMs, where confidence scores rarely tell the full story. As engineering teams scale LLM implementations, we face a critical challenge: How do you build systematic validation when your model can be articulate, confident, and completely wrong? Here's what systematic validation in production has revealed: Core Implementation Pattern: Meta-cognitive Processing Layer - Systematic uncertainty detection - Recursive self-evaluation - Pattern-based reliability assessment The key insight? Traditional confidence scores are essentially "gut feelings." Making them measurable requires architectural changes at the validation layer. Three critical considerations when implementing self-reflection: - Evaluation pathway design - Pattern recognition in uncertainty - Response verification loops Next: We'll examine how this pattern changes in high-stakes production environments. Engineering leaders: What's your approach to validating LLM outputs in production? Are confidence scores part of your reliability metrics? #AIEngineering #SystemArchitecture #LLM

The staging environment trap: Your LLM performs flawlessly during testing. Confidence scores look perfect. Code reviews are green. Then production hits - and you realize confidence scores tell a very different story at scale. If you're leading an engineering team implementing LLMs, you've likely encountered this disconnect between controlled testing and production reality. The challenge isn't just about getting LLMs to work - it's about making them reliably work at scale. Over the next few days, we'll do a technical deep-dive into production-grade LLM validation architectures, specifically examining: 1. Systematic validation beyond basic confidence scores - Meta-cognitive processing layers - Recursive self-evaluation patterns - Real production implementation 2. Multi-layer confidence assessment - Validation hierarchy design - Performance impact considerations - Integration patterns 3. Production-scale implementation - System architecture requirements - Performance optimization strategies - Real-world adaptation patterns This isn't about theory - it's about practical, implemented solutions to real engineering challenges in LLM deployments. Follow us for this technical exploration if you're wrestling with: - Validating LLM outputs at scale - Building reliable confidence assessment systems - Implementing production-grade validation architectures Engineering leaders: What's your biggest challenge in validating LLM outputs in production environments? #AIEngineering #SystemArchitecture #TechnicalLeadership

Gerald Hwasta

Managing Director with entrepreneurial mindset. Corporate Management: expansion of business areas, Private Equity, high sales competence Business…

Christoph Lewandowski

Executive Business Leadership for B2B Hard Tech Companies

Daniel Reif

Co-founder @Inika VP Finance/Controller specializing in Revenue Recognition (including SAAS) Consultant working with small to mid sized US clients

Bina Baid

Crest Equity Partners

tygcapitalpartners.com

24/7 Software (www.247software.com) is the global leading provider of operations and safety management software for the world’s greatest venues across Sports, Leisure, and Entertainment. Software solutions include incident and emergency management, real time communications for venue guests and staff, computerized maintenance management, lost & found, guard tours, and advanced analytics for gather and analyzing key data across venues and events. 24/7 Software is a global company with operations and offices across North America, the United Kingdom, Australia, Asia, India, and Latin America. The company’s solutions are implemented in over 85% of the stadiums and arenas across North America’s four major sports leagues (NFL, NHL, NBA, MLB). Many of the largest music festivals, tour events such as LIV Golf and the PGA Tour, as well as major events such as the Super Bowl, World Series, NBA Finals, and the Kentucky Derby all utilize 24/7 Software solutions. 24/7 Software's international customers include FC Barcelona, The O2 Arena, Lord's Cricket Ground in London, Manchester United, Paris Saint-Germaine, Marvel Stadium, and Melbourne & Olympic Parks in Australia. 24/7 Software is also used by the world’s greatest venues across convention centers, shopping malls, amusement parks, and airports. Learn how 24/7 Software solves customers’ most critical business challenges at www.247software.com.

Task management and communication software

24/7 Software

🎄✨ Happy Holidays from 24/7 Software ✨🎄 As we wrap up 2024, we want to take a moment to express our gratitude to our amazing customers, partners, and team members around the world. 🎉 This year has been truly remarkable! We're proud to now bring the global market leader in venue operations management software across 14 countries worldwide. 🌍🌎🌏 From our team to yours, thank you for being a part of this incredible journey. 💙 Your trust and collaboration inspire us to keep innovating and delivering solutions that make a real difference. Wishing you a joyful holiday season filled with cheer and a fantastic start to 2025! 🎁🎅✨ Warm regards, The 24/7 Software Team

🌏 24/7 Software is making a global impact on facilities management. 🌏 We’re thrilled to share that organizations across Europe and the Middle East—including Premier League teams, Chester Race Company, The O2, and Co-op Live—are leveraging the 24/7 Software platform to streamline operations, improve safety, and deliver incredible guest experiences. What’s driving the excitement? ⛑️ Health and safety excellence: Facility managers use 24/7 Software to digitalize incident response and safety management for enhanced guest comfort and security. 📈 Game-changing analytics: 24/7 Software’s real-time data and analytics deliver operational insights that power better decisions. 🪄 Match-day magic: Premier League facilities managers use 24/7 Software to transform fan experiences and match-day coordination. It’s exciting to see how our technology is delivering real-time, data-driven solutions to some of the most prestigious organizations in the world. Want to learn more? Read the full announcement here 👉 https://bit.ly/41J8nGI #FacilitiesManagement #VenueOperations

🚨New blog post!🚨 Find out how the right tech stack can help ensure fan safety and a seamless experience on game day. Check it out 👉 https://bit.ly/3OYHE1e

Sacramento Kings

Atlanta Hawks

LA Clippers

Madison Square Garden Entertainment Corp.

Boston Celtics

Chicago Bulls

Toronto Raptors Basketball Club Inc.

Chris Bell

John Beresford

Huge congrats to so many of our customers here at 24/7 Software who were standouts on ESPN's ranking of NBA Arenas ( https://lnkd.in/gPKxtcxS ) including Sacramento Kings , Atlanta Hawks , LA Clippers , Madison Square Garden Entertainment Corp. , Boston Celtics , Chicago Bulls just to name a few. You always go above and beyond to ensure not only the safety of your guests, but also that their experience is second to none. I got to verify this first hand during a Toronto Raptors Basketball Club Inc. game when Chris Bell ensured that John Beresford and my time there was a memorable one with an extensive behind the scenes tour and a little time on the court. Well done to all!

Robyn Beresford

IAAPA

It was a wonderful week attending the 2024 IAAPA conference. 24/7 Software had the pleasure of hosting many of our customers and prospects at a private event, allowing current and future partners to align. 🤝⛳️ This event is always beneficial as we continue to grow in the Zoo, Aquarium, Amusement Park and Entertainment industries. 🎡🐒🐟🎢 See you there in 2025!!

Clint Hatmaker

Live Webinar: From Insight to Action: How Advanced Analytics Power Venue Management in the Real World Thursday, December 5 at 1 p.m. ET/10 a.m. PT Join us for an in-depth look at how advanced analytics empower venue teams to: ✔️ Enhance operational efficiency ✔️ Manage labor and resources ✔️ Optimize staffing ✔️ Increase situational awareness ✔️ Dial in real-time incident response Don’t miss out—save your seat now! https://bit.ly/4fpfckD

Rebekah Murphy

Tara Rooney

Nothing better than a sunny match day catching the action at FC Barcelona! ☀️⚽️🎉 Rebekah Murphy and Tara Rooney are onsite, teaming up with the amazing Barça crew to empower world-class operations and exceptional experiences. We absolutely love European football and the energy it brings! Seeing the smiling faces of our team and our customers makes it all worthwhile. 💙❤️ 24/7 Software #SunnyMatchDay #EuropeanFootball #Teamwork #FanExperience #WorldClassOperations #BarçaMagic

Congratulations, Rebekah Murphy , on your work anniversary! We’re lucky to have you on the team and look forward to seeing your future achievements! 🎉 #team #saas #anniversary

🌟⚽ An incredible moment for women's sports! ⚽🌟 🎉 A huge CONGRATULATIONS to the Orlando Pride on their historic victory in the Women’s Soccer Finals! 🏆👑 Your first-ever NWSL Championship title is a testament to the hard work, talent, and resilience of your amazing team! 👏🙌 👏 Equally, we celebrate the Washington Spirit for their phenomenal season and inspiring performance in the finals! 💪✨ Both teams have shown the world what dedication, teamwork, and heart can achieve. 💖 At 24/7 Software , we’re proud to partner with both these exceptional organizations. Supporting their efforts to create world-class venue operations is one way we contribute to the surging momentum of women’s professional sports. 🚀 This victory is more than just a title—it’s a reflection of the incredible growth of women’s professional across soccer/football ⚽, hockey 🏒, basketball 🏀, and countless other sports. Fans are filling stadiums 🏟️, and arenas, breaking viewership records 📺, and showing unwavering support for these phenomenal athletes. 💪👩🎤 The future of women’s sports is brighter than ever! ✨🔥 💜⚽ Here’s to celebrating these milestones and looking forward to the continued rise of women’s sports worldwide! 🌟👑🙌 #WomensSoccer #WomensSports #OrlandoPride #WashingtonSpirit #ProSports #ProudPartner #Champions 🏆⚽ 📸 Image credits: Orlando Pride and Shutterstock

What an incredible time in Ohio! 🎉 We brought together some people from great teams—Cleveland Browns, Cedar Point, Columbus Crew, and Cleveland Guardians—for some regional activities and training and our regional user meetup. This event was all about connecting, collaborating, and having a little fun along the way! 🍻 From sharing best practices to brainstorming innovative technology ideas, it’s always inspiring to see our customers pushing boundaries and leading the charge in their industries.💡⚡ A huge thank you to everyone who joined us—you make events like this so special. Here’s to more great conversations, partnerships, and innovations ahead. 🚀 #CustomerCommunity #247Software #Innovation #Teamwork #Cleveland #venuemanagement #venuesafety #facilitiesmanagment #guestexperience