Building Systems That Scale
AVP-Technology by day, Systems Architect by passion
I'm Prasanna, a full-time AVP-tech who heads engineering and R&D operations. After spending my days building scalable systems, leading technical teams, and driving innovation, I created Newtonix.bot as my personal laboratory — a space to explore AI integrations, experiment with automation, and share architectural insights from the trenches.
"The best solutions often come from late-night experiments and weekend explorations."
When I'm not architecting systems, you'll find me tinkering with new AI models, reading about distributed systems, or helping fellow engineers solve interesting challenges. I believe in sharing knowledge freely — because great engineering ideas deserve to be passed forward.
Technology Areas & Focus
Building the future, one system at a time
AI System Architectures
Production-ready AI systems that actually scale
Performance Engineering
Optimization techniques for high-traffic apps
Automation & DevOps
Reducing operational overhead intelligently
Database Architecture
Modern strategies for growing startups
Engineering Advisory Services
Turning technical challenges into competitive advantages
Architecture Reviews
I review system designs to identify bottlenecks before they become expensive problems.
- System design audits
- Scalability assessments
- Technology stack recommendations
Performance Audits
From slow queries to memory leaks, I help diagnose and fix performance issues that hurt user experience.
- Performance bottleneck analysis
- Database optimization
- Application profiling
Scalability Planning
Design systems that grow with your business, not against it.
- Growth-ready architecture
- Infrastructure planning
- Team scaling strategies
Let's Collaborate
I occasionally collaborate on engineering advisory projects during my free time, helping startups avoid the architectural mistakes that can cost months of development time. Whether it's reviewing your system design, optimizing performance, or planning for scale.
If you're facing interesting technical challenges or want to discuss system architecture approaches, I'd love to hear from you.
Architectural Insights & Lessons Learned
Sharing hard-won lessons from building systems that scale — gathered from late-night debugging sessions and production incidents
Why Your Database Will Be Your Bottleneck
Common database design mistakes that kill performance at scale, and how to architect your data layer for growth from day one...
Architecture Deep-Dive • 12 min readThe Hidden Cost of Over-Engineering
When premature optimization becomes technical debt. Lessons from startups that built for scale they didn't need, and how to find the right balance...
Engineering Philosophy • 8 min readAI Integration: Beyond the Demo
What happens when you move AI from proof-of-concept to production. Real challenges with latency, cost, and reliability that demos don't show...
AI Systems • 15 min readMonitoring That Actually Helps
Building observability systems that catch problems before users do. Moving beyond vanity metrics to actionable insights...
DevOps Strategy • 10 min readScaling Team Architecture
How system architecture mirrors team structure, and why Conway's Law matters more as you grow from 2 to 20 engineers...
Engineering Leadership • 11 min readBeyond the Basics: A Data-Driven Guide to Database Partitioning
When your tables hit 40 million records, query performance becomes critical. Learn when to use RANGE, HASH, or subpartitioning based on real benchmarks...
Database Architecture • 14 min readPerformance Debugging War Stories
Real examples of performance bottlenecks that seemed impossible to find, and the systematic approaches that finally solved them...
Performance Engineering • 9 min read