MyRizzume Verified Candidate • 95/100 ATS Benchmark Score
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Alex Rivera

Senior Full-Stack & AI Systems Engineer

High-impact Full-Stack & AI Engineer with 5+ years building sub-second cloud platforms, distributed APIs, and production LLM workflows. Proven track record of cutting P99 latency by 42%, scaling systems to 250K+ DAU, and driving measurable revenue growth.

📍 San Francisco, CA (Open to Remote)•✉️ [email protected]•📞 (555) 234-8910•LinkedIn ↗•GitHub / Code ↗

⚡ Verified Quantified Impact Highlights

✓Cut P99 API latency by 42% (480ms ➔ 275ms) across 250K+ daily active users
✓Generated $1.4M in net-new self-serve ARR within 9 months of launch
✓Reduced AWS cloud compute bill by 31% ($48K/yr) via Redis edge caching
✓Maintained 99.98% production SLA uptime across 14 microservices

🚀 Featured Engineering & Business Case Studies

Problem statement, architectural execution, and verified business impact.

Lead Architect

Sub-Second Enterprise ATS Parser & Diff Engine

Live ↗

Real-time Workday, Greenhouse & Lever resume scorer running on Groq LPUs.

The Problem: Job seekers were paying $49/mo for slow resume scanners that took 40+ seconds per scan and missed structural Workday parsing errors.

The Execution: Engineered a parallel AST/token rubric engine paired with Groq llama-3.3-70b inference and instant side-by-side STAR bullet diffing.

📈 Outcome: < 780ms average scan speed • 94% ATS pass rate • 3.4x candidate interview callback lift
Next.js 14TypeScriptGroq LPUNeon PostgreSQLDrizzle ORMStripe
Creator & Maintainer

Zero-Latency Distributed Feature Flag & Telemetry Mesh

Live ↗

Edge-cached feature flag evaluation engine for multi-region SaaS platforms.

The Problem: Centralized database lookups for feature flags added 95ms of overhead to every authenticated API request.

The Execution: Built an edge-replicated evaluation worker with SSE invalidation streams and sub-millisecond in-memory evaluation.

📈 Outcome: 0.4ms evaluation overhead • 120M+ daily flag evaluations • Zero cold-start timeouts
GoRedis StreamsTypeScript SDKDockerCloudflare Workers

💼 Verified Work History & Career Timeline

Senior Software Engineer @ VeloCloud Systems

San Francisco, CA
2023-03 — Present
  • ▸Architected 14 high-throughput microservices in TypeScript, Go, and PostgreSQL, reducing P99 API latency by 42% across 250,000+ daily active users.
  • ▸Spearheaded a real-time AI document diagnostic pipeline using Groq LPU inference, delivering <780ms median turnaround and lifting user conversion by 34%.
  • ▸Cut annual AWS infrastructure spend by $48,000 (31%) by implementing Redis read-through caching and optimizing composite B-tree database indexes.

Full-Stack Software Engineer @ NovaPay FinTech

Austin, TX
2020-06 — 2023-02
  • ▸Built and scaled merchant checkout and Stripe webhook fulfillment engines processing $18M+ in annual payment volume with 99.99% reliability.
  • ▸Led migration from legacy monolithic SPA to Next.js App Router, improving Largest Contentful Paint (LCP) by 53% and organic search traffic by 41%.
  • ▸Mentored 5 junior developers and established automated Playwright + Jest CI/CD gates, cutting production hotfixes by 64%.

🎯 Core Competencies & Tech Stack

Domain Specialties
Distributed SystemsFull-Stack ArchitectureREST & GraphQL APIsLLM / RAG PipelinesDatabase Query OptimizationCI/CD & Cloud DevOps
Tools, Languages & Platforms
TypeScriptReact & Next.jsNode.js & PythonPostgreSQL & RedisDocker & KubernetesAWS & Vercel

🎓 Education & Certifications

B.S. in Computer Science & Engineering
University of California, Berkeley • Class of 2020
Cum Laude • Dean’s Honor List
Verified Certifications
🏅 AWS Certified Solutions Architect🏅 SOC2 Security & Privacy Fundamentals