Shubham Nath
Backend & AI Automation Engineer
About
Generative AI Engineer with 2+ years of experience in building AI-powered automation systems, LLM-based workflows, and scalable backend applications. Specialized in designing intelligent automation pipelines using Large Language Models (LLaMA, Groq), OCR systems, and Appium-based mobile automation. Experienced in developing production-grade AI SEO optimization platforms handling 150+ businesses with 3000+ daily automated operations. Strong expertise in Flask, SQLAlchemy, REST APIs, and agentic AI-driven decision systems.
Skills & Expertise (24)
Work Experience
Backend & AI Automation Engineer
Intelgic
Oct 2025 - Present
Built and maintained a production AI-powered SEO automation platform using Python, Flask, and SQLAlchemy. Designed and implemented REST APIs for managing AI-driven workflows and automation pipelines. Developed Appium-based mobile automation bots (MAP Bot) simulating human interactions for Google Maps (click, scroll, search, navigation). Implemented LLM-based keyword generation system using LLaMA and Groq APIs to generate 50+ SEO keywords per base keyword. Built AI-driven decision systems for backlinking, keyword click, and click-and-back automation processes. Integrated OCR-based webpage parsing system to extract and identify clickable keyword elements from blog content. Designed proxy-aware location handling system using LLM-generated fallback city suggestions and runtime validation via API checks. Created queue-based processing architecture for handling keyword generation, heatmap processing, and trend analysis workflows. Developed automated reporting system for SEO performance tracking including rank trends, click performance, and keyword effectiveness. Improved automation success rate to 85–90% by implementing AI-based exception handling and adaptive keyword optimization. Collaborated with team of 4–5 developers and worked directly with clients for daily progress updates.
Software Engineer
Klaus IT Solutions Pvt. Ltd. (NCBS Bengaluru)
Jul 2024 - June 2025
Developed facial recognition-based employee attendance system using Python and Drupal 10. Built IP monitoring and blacklist system by analyzing server logs and implementing rule-based filtering. Developed enterprise feedback management system using PHP, JavaScript, MySQL, and Drupal CMS. Handled production bug fixes including proxy failure handling and runtime system corrections. Worked in Linux-based production environment and collaborated with clients for requirement updates.
Web Developer
Envolta
Mar 2023 - Apr 2024
Developed internal CRM system using Core PHP, JavaScript, AJAX, and MySQL. Built dynamic modules for customer management and workflow automation. Improved operational efficiency by automating manual data processing tasks.
Education
Bachelor of Technology (B.Tech) – Computer Science Engineering - University of Engineering and Management
- · Afghanistan
Certifications
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Skills (24)
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