Building scalable web applications that serve 45K+ daily users and process $5M+ in daily transactions
Using AI tools (Cursor, Claude Code CLI, GPT) to ship features fast
const abbas = {
location: "California 📍 (Open to SF/Bay Area relocation and anywhere in the USA)",
currentRole: "Full Stack Engineer @ Tern Systems",
education: "Master's in Computer Science 🎓",
focus: ["0→1 Product Building", "Performance Optimization", "AI-Assisted Development"],
openToWork: true,
targetRoles: ["Full Stack Engineer", "Software Engineer", "Backend Engineer"],
targetCompanies: ["Early-stage Startups", "High-Growth Tech", "FAANG", "Series A-C"],
currentlyWorking: {
tech: ["Next.js", "TypeScript", "React", "Node.js", "Redux"],
achievement: "Reduced page load time by 65% (3.2s → 1.1s) for 45K+ daily users",
impact: "Shipped 12+ features in 6 months with 99.7% uptime"
},
developmentWorkflow: {
aiTools: ["Cursor", "Claude Code CLI", "GitHub Copilot", "GPT-4"],
approach: "Rapid prototyping with AI-assisted development",
style: "Ship fast, iterate based on user feedback"
},
recentWins: [
"Built systems processing $5M+ daily transactions (99.95% uptime)",
"Reduced MongoDB latency by 80% through optimization (400ms → 80ms)",
"Active contributor to Vite (100K+ ⭐, 500K+ weekly npm downloads)",
"2,000+ users on CVInsight with 4.5/5 rating",
"Built AI agent at Cerebral SF AI Hackathon using vector embeddings",
"Early engineer (employee #3) at fintech startup, scaled 200 → 1,200+ users"
],
askMeAbout: [
"React/Next.js performance optimization & SSR strategies",
"Microservices architecture & event-driven systems",
"MongoDB query optimization & Redis caching",
"Building products 0→1 with real users",
"AI-assisted development workflows",
"Scaling startups from seed to Series A"
]
};
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AI Agent with Semantic Search & Vector Embeddings 🏆 Cerebral SF AI Hackathon AI agent that learns cultural communication preferences using vector embeddings and semantic search. Stack: Python • Fireworks AI • Vector Embeddings • LangChain • Semantic Search |
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NLP Sentiment Analysis Engine ✅ 95% accuracy achieved Sentiment analysis engine with quantization techniques for faster inference on custom datasets. Stack: Python • BERT • PyTorch • Hugging Face • Transformers |
Scalable Microservices Architecture 💵 $5M+ daily transactions Built at Real Page - Node.js microservices with fault-tolerant design and automatic retry mechanisms. Stack: Node.js • Redis • MongoDB • AWS • Bull/Redis Queues |
Contributing to Vite ⚡
100,000+ ⭐ | 500K+ weekly npm downloads
Improving developer experience for hundreds of thousands of developers worldwide
Recent Contributions:
- 🔧 PR #15521 - Fixed HMR for import.meta.glob array patterns with exclusions
- 📚 PR #15464 - Migrated hook filter documentation to main plugin guide
- 💬 Active in community helping developers debug build and configuration issues
| Metric | Achievement | Context |
|---|---|---|
| 👥 Users Served | 45,000+ daily | Next.js SSR application |
| 💰 Transaction Volume | $5M+ daily | Payment processing microservices |
| ⚡ Latency Reduction | 80% faster | MongoDB query optimization (400ms → 80ms) |
| 🚀 Page Load Speed | 65% faster | Next.js optimization (3.2s → 1.1s) |
| 🎯 System Reliability | 99.95% uptime | Event-driven microservices |
| 📦 Components Built | 50+ reusable | TypeScript component library |
| 🤖 ML Accuracy | 92-95% | GL code prediction automation |
| 💾 Cost Savings | $4,200/month | Redis caching optimization |
| 🏗️ Features Shipped | 12+ in 6 months | Cross-functional collaboration |
| 📈 User Growth | 200 → 1,200+ | Early engineer at Celstra (employee #3) |
Master's in Computer Science
University of the Pacific | Aug 2023 - Dec 2024
Research Assistant (Jun - Aug 2024) | AI in Healthcare specialization
Focus Areas:
Advanced Algorithms • Web Programming • Cybersecurity • Advanced Software Engineering
6+ Years Professional Experience
Full Stack Engineer @ Tern Systems (Current) • Software Engineer @ Real Page • HCL Technologies
Early Engineer @ Celstra (Startup) • Software Engineer @ Focus Softnet (Startup)
const currentFocus = {
shipping: [
"High-performance Next.js SSR applications (45K+ daily users)",
"Redux state management architecture (200+ actions)",
"Reusable TypeScript component libraries",
"API optimization with SWR caching strategies"
],
learning: [
"Advanced Next.js patterns (React Server Components, Server Actions)",
"GraphQL Federation & microservices",
"AWS advanced architecture & Lambda optimization",
"Vector embeddings & semantic search"
],
workflow: [
"Using Cursor & Claude Code CLI for agentic coding",
"GitHub Copilot for rapid prototyping",
"GPT-4 for debugging and optimization",
"Shipping fast, iterating based on user feedback"
],
exploring: [
"Edge computing with Cloudflare Workers",
"Advanced caching strategies (Redis patterns)",
"Event-driven architecture at scale",
"AI-integrated web applications"
],
contributing: [
"Vite build tool improvements",
"Open source React libraries",
"Developer documentation",
"SF tech community & hackathons"
]
};✅ Ship features independently without extensive product/design support
✅ Use AI tools daily (Cursor, Claude Code CLI, Copilot) to accelerate development
✅ Built real products 0→1 with paying users and revenue
✅ Strong product intuition and willingness to make UX decisions
✅ Comfortable with ambiguity and defining architecture patterns
✅ Early-stage startup experience (employee #3, scaled 200 → 1,200+ users)
✅ Value clean, maintainable code with good documentation
✅ Learn new tech stacks quickly and iterate based on user feedback
✅ Active in SF tech community and hackathons
I'm actively exploring opportunities with innovative companies building products at scale.
✅ Full Stack Engineer • Backend Engineer • Software Engineer roles
✅ Early-stage startups (Seed - Series C) & high-growth tech companies
✅ Companies that move fast and ship features
✅ Teams that value performance, scalability, and AI-assisted development
✅ Open to relocation (USA, Europe, Japan, Russia, China) or remote opportunities
💬 Building products 0→1 with real users and revenue
💬 React/Next.js architecture and performance optimization
💬 Microservices, event-driven systems, and scalability
💬 Database performance tuning (MongoDB, PostgreSQL, Redis)
💬 AI-assisted development workflows
💬 Scaling startups from seed to Series A
💬 Open source collaboration
Thanks for visiting! Feel free to reach out if you want to collaborate, chat about tech, or discuss opportunities. ☕
Currently open to roles in (USA, Europe, Japan) and remote positions with innovative startups and tech companies.