SaaS & AI Performance Optimization by Waleed Ashraf UsmaniSaaS & AI Performance Optimization by Waleed Ashraf Usmani
SaaS & AI Performance OptimizationWaleed Ashraf Usmani
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
Backend Engineer
DevOps Engineer
Infrastructure
Software Architect
Cloud Architecture
Database Optimization
Performance Optimization
SaaS Architecture
System Architecture
Service provided by
Waleed Ashraf Usmani proLahore, Pakistan
5.00
Rating
3
Followers
SaaS & AI Performance OptimizationWaleed Ashraf Usmani
Starting at$2,000
Duration2 weeks
Tags
Backend Engineer
DevOps Engineer
Infrastructure
Software Architect
Cloud Architecture
Database Optimization
Performance 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