const falak = {
role: "Software Developer",
location: "Vadodara, Gujarat, India",
education: "B.Tech CSE @ Parul University (CGPA: 8.28/10.00)",
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 β 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:
- π― Building scalable backend infrastructure
- π€ Developing AI-powered intelligent applications
- π Creating regulatory compliance tools
- β‘ Optimizing system performance and automation
January 2026 β Present
- π Developing scalable microservices-based applications using .NET (C#), designing RESTful APIs, and handling inter-service communication & system integration
- π» Building responsive frontend systems with React, Next.js, TypeScript, leveraging Redux Saga for async state management
- βοΈ Managing cloud-based workflows on AWS, using EC2 for scheduled script execution, CloudWatch for logging, and S3 for storage
- ποΈ Managing database migrations and working with SQL & MongoDB for efficient data modeling and storage
- π¦ Contributing to high-performance Rust CLI tools for legal document analysis and comparison
- π§© Delivering end-to-end features from development to deployment in compliance-focused enterprise systems
January 2025 - April 2025
- π Delivered 6 client-ready ML applications including prediction systems and AI APIs
- βοΈ Built Flask-based AI services to expose trained models for real-world use
- π Optimized models for better accuracy and faster inference
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:
- β‘ Implemented cache-aside pattern with TTL and intelligent invalidation strategies
- π³ Containerized using Docker for scalable, production-ready deployment
- π 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:
- π Defense-in-depth architecture isolating LLM inference from executable paths
- π‘οΈ Prevents command injection and unsafe runtime behavior
- π¬ 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:
- π§ Integrated Gemini API for accurate, context-aware responses
- π Real-time learning assistance within the browser
- π Retrieval-augmented approach for improved answer quality
- B.Tech in Computer Science Engineering β Parul University (2022-2026) | CGPA: 8.28/10.00
- 12th Grade β Green Valley High School (2022) | 91.80%
- β Complete Data Science Bootcamp β Udemy
- β AWS Cloud Practitioner β AWS SimuLearn
- β Tableau for Data Analysis β Udemy
- β Excel for Data Analysis β Coursera
- β MySQL Certification β Cursa
- β Fundamentals of Computer Vision β 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"
}- ποΈ System Design: Building scalable, production-ready architectures
- π€ AI Integration: Implementing RAG pipelines, LLM applications, and intelligent automation
- β‘ Performance Optimization: Cache strategies, API optimization, and infrastructure tuning
- π§ Full-Stack Development: End-to-end application development with modern frameworks
- π Clean Code: Writing maintainable, well-documented, and tested code
I'm always open to discussing:
- πΌ Software engineering opportunities
- π Cutting-edge technology projects
- π€ Collaboration on open-source initiatives
- π‘ Innovative ideas and challenging problems
Feel free to reach out:
- π§ Email: ranafalak18@gmail.com
- πΌ LinkedIn: linkedin.com/in/falakrana-125520221
- π Portfolio: falakrana.vercel.app
- π± Phone: +91 9725556991

