Reuben Philipose

Computer Science Engineering graduate specializing in Artificial Intelligence and Machine Learning, currently working as an Agentic AI Engineer Intern. Experienced in building LLM-powered agents, structured AI workflows, backend services, REST APIs, retrieval-augmented generation systems, and database-integrated applications using Python, Google ADK, Supabase, Flask, and PostgreSQL. Strong foundation in software engineering, data structures, API development, prompt engineering, AI evaluation, and cloud technologies.

Seeking opportunities as an Agentic AI Engineer, Full-Stack AI Developer, Backend Developer, or Software Development Engineer.

Agentic AI Engineer Intern at AariyaTech Corp Private Limited (2026-05 – Present)

• Develop Agentic AI workflows using Python, Google Agent Development Kit, structured prompts, tool calling, and schema-based outputs.
• Built agents for interview preparation, resume validation, candidate satisfaction analysis, and unusual user-behaviour detection.
• Designed strict JSON schemas, scoring rubrics, validation gates, fallback logic, and machine-readable error responses.
• Created test cases to evaluate instruction adherence, output consistency, duplicate prevention, edge cases, and agent reliability.
• Integrated Supabase-based data workflows and collaborated using Git feature branches, pull requests, and code reviews.

Artificial Intelligence with Cloud Computing Intern at SuprMentr Technologies Pvt. Ltd. (2026-02 – 2026-05)

• Completed a 15-week internship covering artificial intelligence, machine learning, natural language processing, cloud computing, and application development.
• Developed a Hybrid RAG-based AI Knowledge Assistant using document processing, semantic retrieval, prompt construction, and contextual response generation.
• Worked with Python-based data preprocessing, model evaluation, API integration, and cloud deployment concepts.

B.E. in Computer Science Engineering (AI & ML) – Nagarjuna College of Engineering and Technology (2022 – 2026)