Full Stack Systems
I'm Abrarali Sunasara, a professionalFull Stack & Systems Engineer
dedicated to designing scalable architectures and production-ready applications.
01const developer = {
02name: 'Abrarali Sunasara',
03focus: 'System Architecture',
04skills: ['Node.js', 'Docker', 'AI'],
05productionReady: true,
06motto: "Build. Scale. Automate."
07};
08developer.showcase();
About Me
Production-Ready Development
Full Stack Engineer
Built full-stack applications with scalable architecture
Designed APIs and database schemas
Integrated AI and automation workflows
Handled deployment and optimization
Full Stack Engineer
Built full-stack applications with scalable architecture
Designed APIs and database schemas
Integrated AI and automation workflows
Handled deployment and optimization
Backend Developer
Developed web and mobile applications
Implemented backend systems and integrations
Backend Developer
Developed web and mobile applications
Implemented backend systems and integrations
Software Developer Intern
Worked on frontend and backend features
Assisted in API development and debugging
Software Developer Intern
Worked on frontend and backend features
Assisted in API development and debugging
Master of Computer Applications (MCA)
Bachelor of Science (Computer Application & IT)
Foundation of
Knowledge
Acquiring the theoretical depth and technical rigor to architect complex systems at scale.
The Tech Stack
Production-Ready Systems
Scalable Architecture
A selection of complex systems and architectures, engineered for high availability, scalability, and seamless integration.
A multimodal AI system that analyzes recorded video interviews using audio, video, and LLM-based semantic evaluation to generate objective, time-evolving candidate assessments.
System Architecture
Multimodal Temporal Analysis Pipeline (Hybrid Signal + LLM)
6-stage Analysis Pipeline • Audio/Video Feature Extraction • Whisper Speech-to-Text • AI Semantic Scorer (Qwen2.5-3B) • Temporal Performance Tracker • Interactive Analytics Dashboard
Flow: Input (AV/JD) → Parallel Extraction → Temporal Sync → Behavioral/Semantic Analysis → Output (JSON/Dashboard)
A distributed file storage system that transforms GitHub repositories into a personal cloud filesystem using an HDFS-inspired architecture with encryption, deduplication, and multi-layer caching.
System Architecture
Distributed Node-Based Storage
NameNode (Index Repository) • DataNodes (GitHub Repositories) • Client (Web/Mobile App) • Edge Proxy (Cloudflare Workers)
Flow: Client → AES Encryption → Chunking → Parallel Upload → DataNodes → NameNode Index Update
A full-stack AI-powered survey platform that generates intelligent questions using LLMs and provides real-time analytics with interactive visualizations.
System Architecture
AI-Powered Survey Architecture
Frontend: React + Vite + Tailwind • Backend: Node.js + Express • Database: Supabase • AI: OpenRouter (Claude 3.5)
Flow: User Prompt → OpenRouter LLM → Generated Survey → Supabase DB → Interactive Analytics
Microsoft Azure AI Fundamentals
AI-first Software Engineering
Applied Generative AI Certification
Introduction to AI & Generative AI
Temporal Stability-Aware Multi-LLM Consensus for Candidate Evaluation
ID: ICICTA_26062Proposes a stability-aware consensus mechanism across multiple LLMs to improve reliability and consistency in candidate evaluation systems.
Let's Build Real Systems
Ready to build scalable, high-performance systems? I'm available for engineering roles and freelance opportunities.
Send a Message
I'll get back to you within 24 hours.