const falak = {
    role: "Software Developer",
    location: "Vadodara, Gujarat, India",
    education: "B.Tech CSE @ Parul University (CGPA: 8.34/10.00)",
    currentFocus: ["Distributed Systems", "LLM Security", "AI Agent Design Patterns"],
    workingAt: "Infodesk India Private Limited",
    interests: ["Full-Stack Development", "AI Integration", "System Architecture"]
};

I'm a Software Engineer specializing in full-stack development and AI-integrated systems. I build production-grade applications that solve real problems — from intelligent caching systems and RAG-based AI assistants to document processing pipelines and high-performance APIs.

My work combines strong engineering fundamentals with practical AI/ML implementation, focusing on:

• 🎯 Building scalable backend infrastructure
• 🤖 Developing AI-powered intelligent applications
• 📊 Creating regulatory compliance tools
• ⚡ Optimizing system performance and automation

August 2026 – Present | Ahmedabad, India

• 🚀 Building and maintaining scalable REST APIs using ASP.NET Core to support seamless system integration
• 🗄️ Managing and optimizing SQL Server databases, writing complex queries and ensuring data integrity
• 🔧 Working on enterprise software systems with a focus on backend development, API design, and database optimization

January 2026 – May 2026 | Vadodara, India

• 🚀 Built scalable microservices and REST APIs using FastAPI, .NET, and Spring Boot
• 🗄️ Worked with SQL and MongoDB for database management across AWS infrastructure
• 🤖 Designed and integrated a RAG pipeline for legal and regulatory document inspection
• ⚙️ Contributed to backend architecture, system integration, and production-oriented application development

January 2025 – April 2025

• 🚀 Delivered client-ready machine learning applications involving prediction systems and AI APIs
• ⚙️ Built Flask-based AI services to expose trained ML models
• 📈 Worked on model optimization and practical machine learning implementation

June 2024 – January 2025 | Vadodara, India

• 🔬 Conducted research and experimentation on machine learning models and architectures
• 🧠 Studied architectures including Transformers and BERT
• 🤝 Collaborated as part of a research team to investigate and understand modern ML architectures

Tech Stack: Python FastAPI Redis PostgreSQL Docker

Built a distributed caching system using Redis in front of PostgreSQL to dramatically improve API response times and handle high-traffic workloads.

Key Features:

• ⚡ Implemented cache-aside pattern with TTL and intelligent invalidation strategies
• 🐳 Containerized using Docker for scalable, production-ready deployment
• 📊 Optimized for performance under concurrent load scenarios

Tech Stack: Python AI/LLM Windows Desktop

A security-first AI-powered Windows desktop agent that uses natural language to launch applications with strict separation of discovery and execution phases.

Key Features:

• 🔒 Defense-in-depth architecture isolating LLM inference from executable paths
• 🛡️ Prevents command injection and unsafe runtime behavior
• 💬 Natural language interface for desktop automation

Tech Stack: Python RAG Playwright Gemini API

Developed a browser extension using Retrieval-Augmented Generation (RAG) to answer Coursera course questions in context.

Key Features:

• 🧠 Integrated Gemini API for accurate, context-aware responses
• 🎓 Real-time learning assistance within the browser
• 📖 Retrieval-augmented approach for improved answer quality

• B.Tech in Computer Science Engineering — Parul University (2022-2026) | CGPA: 8.28/10.00
• 12th Grade — Green Valley High School (2022) | 91.80%

• ✅ Complete Data Science Bootcamp — Udemy
• ✅ AWS Cloud Practitioner — AWS SimuLearn
• ✅ Tableau for Data Analysis — Udemy
• ✅ Excel for Data Analysis — Coursera
• ✅ MySQL Certification — Cursa
• ✅ Fundamentals of Computer Vision — Microsoft Learn

current_exploration = {
    "distributed_systems": "Architecture patterns and scalability",
    "llm_security": "Application security for AI-powered systems",
    "ai_agents": "Advanced design patterns and autonomous systems",
    "production_ml": "MLOps and scalable ML infrastructure"
}

• 🏗️ System Design: Building scalable, production-ready architectures
• 🤖 AI Integration: Implementing RAG pipelines, LLM applications, and intelligent automation
• ⚡ Performance Optimization: Cache strategies, API optimization, and infrastructure tuning
• 🔧 Full-Stack Development: End-to-end application development with modern frameworks
• 📝 Clean Code: Writing maintainable, well-documented, and tested code

I'm always open to discussing:

• 💼 Software engineering opportunities
• 🚀 Cutting-edge technology projects
• 🤝 Collaboration on open-source initiatives
• 💡 Innovative ideas and challenging problems

Feel free to reach out:

• 📧 Email: ranafalak18@gmail.com
• 💼 LinkedIn: linkedin.com/in/falakrana-125520221
• 🌐 Portfolio: falakrana.vercel.app
• 📱 Phone: +91 9725556991