SaaS & AI Performance Optimization by Zyvor TechSaaS & AI Performance Optimization by Zyvor Tech
SaaS & AI Performance OptimizationZyvor Tech
Cover image for SaaS & AI Performance Optimization
Your system is slow and your team can't figure out why. I can. Usually within the first 48 hours.
Performance optimization for B2B SaaS and AI platforms where latency, throughput, or infrastructure costs have become a business problem. Not a theoretical review. I find the bottleneck, prove it with data, fix it, and measure the result.
Most performance problems aren't where your team thinks they are. A slow API endpoint isn't always a database problem. A scaling wall isn't always an infrastructure problem. The diagnosis matters more than the fix, and misdiagnosis is expensive.
I've optimized systems handling millions of requests, reduced infrastructure costs by 40-60%, and turned 8-second page loads into sub-second responses. The patterns are consistent. The wins are measurable. Every optimization ships with before/after benchmarks so you can see exactly what changed.
11+ years across SaaS platforms, AI systems, real-time applications, and high-throughput infrastructure. 80+ clients. The performance problems I solve today are the ones I caused and fixed 10 years ago.
What Gets Optimized:
Application Performance • API response times, rendering pipeline, and data fetching • Backend processing pipelines and async workflow efficiency • Memory management, connection pooling, and resource utilization
Database Optimization • Query performance, indexing strategy, and execution plans • Connection pooling, read replicas, and schema optimization • Data archival strategy and table partitioning
Infrastructure & Cost Efficiency • Compute right-sizing and auto-scaling configuration • Infrastructure spend mapped to actual utilization • Environment optimization and resource consolidation
Caching & Load Distribution • Redis architecture, CDN strategy, and cache invalidation patterns • Load balancing, rate limiting, and queue architecture • Failover design and traffic spike handling
AI Workflow Performance • Model serving latency and inference optimization • Orchestration efficiency and batch processing • Vector database tuning and embedding pipeline speed
Monitoring & Observability • APM setup, custom dashboards, and performance baselines • Alerting thresholds and regression detection • Frontend performance: bundle size, Core Web Vitals
Who Needs This:
→ SaaS platforms where page load times are killing conversion → AI products where inference latency makes the UX unusable → Companies whose AWS bill doubled but traffic didn't → Teams hitting scaling walls they can't diagnose internally → Products preparing for a traffic spike, launch, or enterprise onboarding
Core Stack:
Performance profiling and optimization across the full application layer.
• Node.js • PostgreSQL • Redis • AWS • Docker • Next.js • TypeScript • Datadog • New Relic • CloudWatch
11+ years. 80+ clients. Every optimization ships with before/after benchmarks.
FAQs

Starting at$2,000
Duration2 weeks
Tags
Performance Optimization
Backend Engineer
DevOps Engineer
Infrastructure
Software Architect
Cloud Architecture
Database Optimization
SaaS Architecture
System Architecture
Service provided by
Zyvor Tech Lahore, Pakistan
5.00
Rating
6
Followers
SaaS & AI Performance OptimizationZyvor Tech
Starting at$2,000
Duration2 weeks
Tags
Performance Optimization
Backend Engineer
DevOps Engineer
Infrastructure
Software Architect
Cloud Architecture
Database Optimization
SaaS Architecture
System Architecture
Cover image for SaaS & AI Performance Optimization
Your system is slow and your team can't figure out why. I can. Usually within the first 48 hours.
Performance optimization for B2B SaaS and AI platforms where latency, throughput, or infrastructure costs have become a business problem. Not a theoretical review. I find the bottleneck, prove it with data, fix it, and measure the result.
Most performance problems aren't where your team thinks they are. A slow API endpoint isn't always a database problem. A scaling wall isn't always an infrastructure problem. The diagnosis matters more than the fix, and misdiagnosis is expensive.
I've optimized systems handling millions of requests, reduced infrastructure costs by 40-60%, and turned 8-second page loads into sub-second responses. The patterns are consistent. The wins are measurable. Every optimization ships with before/after benchmarks so you can see exactly what changed.
11+ years across SaaS platforms, AI systems, real-time applications, and high-throughput infrastructure. 80+ clients. The performance problems I solve today are the ones I caused and fixed 10 years ago.
What Gets Optimized:
Application Performance • API response times, rendering pipeline, and data fetching • Backend processing pipelines and async workflow efficiency • Memory management, connection pooling, and resource utilization
Database Optimization • Query performance, indexing strategy, and execution plans • Connection pooling, read replicas, and schema optimization • Data archival strategy and table partitioning
Infrastructure & Cost Efficiency • Compute right-sizing and auto-scaling configuration • Infrastructure spend mapped to actual utilization • Environment optimization and resource consolidation
Caching & Load Distribution • Redis architecture, CDN strategy, and cache invalidation patterns • Load balancing, rate limiting, and queue architecture • Failover design and traffic spike handling
AI Workflow Performance • Model serving latency and inference optimization • Orchestration efficiency and batch processing • Vector database tuning and embedding pipeline speed
Monitoring & Observability • APM setup, custom dashboards, and performance baselines • Alerting thresholds and regression detection • Frontend performance: bundle size, Core Web Vitals
Who Needs This:
→ SaaS platforms where page load times are killing conversion → AI products where inference latency makes the UX unusable → Companies whose AWS bill doubled but traffic didn't → Teams hitting scaling walls they can't diagnose internally → Products preparing for a traffic spike, launch, or enterprise onboarding
Core Stack:
Performance profiling and optimization across the full application layer.
• Node.js • PostgreSQL • Redis • AWS • Docker • Next.js • TypeScript • Datadog • New Relic • CloudWatch
11+ years. 80+ clients. Every optimization ships with before/after benchmarks.
FAQs

$2,000