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Full Stack AI Engineer with 2+ years in AI & Data Engineering
Full Stack & AI Engineer with experience building enterprise applications, AI-powered products, data pipelines, distributed scraping systems, and optimization services. At Webito Infotech, I have contributed to SBI HRMS, led frontend development for AI products, developed full-stack client solutions, engineered scalable data extraction and RAG-based AI systems, and built route optimization services using Google Maps APIs and OR-Tools. Deeply passionate about Computer Science and Artificial Intelligence, with strong interests in software architecture, distributed systems, data engineering, and scalable software design.
Aatmanand Saraswati Science College
Bachelor of Computer Applications (BCA)
July 1, 2022 – March 1, 2025
Webito Infotech
Full Stack & AI Engineer
June 1, 2024 – Present
Surat, Gujarat, India
Advik ERP Solution
June 24, 2026 – Present
Developed a custom ERP platform for import-export businesses. Implemented Lead Management, Product Management, Document Generation & Management, and Staff Management modules. Built end-to-end workflows to streamline business operations and centralize organizational data.
Cultural Fit Analysis
The candidate's involvement in diverse projects (ERP, HRMS, AI content generation, review analysis, route optimization) and stated interests (learning new languages, open source contribution) suggest a curious, adaptable, and growth-oriented individual. This aligns well with a dynamic, innovative environment often found in AI-focused roles. The breadth of skills and willingness to take on varied challenges indicate a strong potential for cultural fit within a fast-paced, evolving tech company.
Soft Skills & Operational Fit
The candidate's resume indicates a proactive approach to expanding responsibilities from frontend to full-stack and AI engineering. Collaboration with cross-functional teams and leadership in frontend development suggest good teamwork and initiative. The diverse project experience implies adaptability and a strong learning curve, which are positive indicators for operational fit.