Patel Kush
@patelkush
I build full-stack web applications, REST APIs, and AI-powered platforms with Python, React, and machine learning.
What I'm looking for
I'm building production-ready React and TypeScript applications at Clicode Private Limited, alongside secure CRM integrations and Node.js/Express.js middleware for client-facing products.
I've implemented Google Tag Manager, campaign tracking, and lead-capture workflows across landing pages, while working with MariaDB, Docker, and GitLab CI to support reliable deployments. I collaborate with design, backend, and QA teams to improve performance, maintainability, and cross-browser compatibility.
During my internship at BISAG-N, a Government of India space research institute, I developed Python pipelines for NLP and LLM-integrated unstructured-text processing, machine learning models for geospatial analysis, and Django/FastAPI REST APIs backed by PostgreSQL and JWT authentication.
My projects include a zero-knowledge AI Bookmark Vault, an AI-powered job recommendation platform, a real-time sign language recognition system, and a voice-controlled desktop assistant. I enjoy taking products from responsive React interfaces through secure backend APIs to practical ML and computer-vision workflows.
Experience
Work history, roles, and key accomplishments
Software Engineer
Clicode Private Limited
Jan 2026 - Present (7 months)
Engineered responsive React and TypeScript web applications with Tailwind CSS, delivering production-ready UIs. Built secure CRM integrations and backend middleware using Node.js and Express.js, and implemented Google Tag Manager for campaign tracking.
Education
Degrees, certifications, and relevant coursework
Institute of Advanced Research
Bachelor of Technology, Computer Science
2023 -
Grade: 7.19/10
Pursuing a Bachelor of Technology in Computer Science with a focus on Artificial Intelligence, maintaining a CGPA of 7.19/10.
Government Polytechnic
Diploma, Computer Engineering
2021 - 2023
Grade: 7.65/10
Completed a Diploma in Computer Engineering with a CGPA of 7.65/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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