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Aaryan AgrawalAA
Open to opportunities

Aaryan Agrawal

@aaryanagrawal

AI-focused developer building React products and agentic systems with strong test automation.

India
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What I'm looking for

I’m looking for a role where I can ship reliable product features (React + testing) and build agentic AI/RAG systems with real impact. I value research-driven engineering, fast iteration, and strong mentorship.

I’m a B.Tech in Information Science Engineering student (CGPA: 9.36) building production-grade features through my internship work. At Athenahealth, I contributed to a large-scale enterprise product’s front end with modular React UI components, while developing robust Functional Test Automation using Java, Selenium, and Serenity BDD. I also worked through complex codebases to perform root-cause analysis and resolve defects.

I focus on turning research ideas into working systems, from multi-agent architectures to personalized RAG pipelines. At Samsung PRISM, I built a CrewAI-based “Shop Agent” with a three-tier memory hierarchy using Qdrant and MongoDB, and helped formalize the approach into a research paper for submission. In my projects, I engineered a multi-modal wellness platform with RAG accepted for IEEE publication and built an AI PR review tool using CrewAI agents with a FastAPI + React stack, earning strong hackathon results (Top 9% and Top 4.6%).

Experience

Work history, roles, and key accomplishments

AT

Product Development Intern

Athenahealth

Jan 2026 - Jun 2026 (5 months)

Contributed to front-end development of an enterprise product by implementing modular UI components and feature enhancements using React. Built and maintained functional test automation suites using Java, Selenium, and Serenity BDD, and performed root-cause analysis to resolve software defects.

SP

Research & Development Intern

Samsung PRISM

Mar 2025 - Nov 2025 (8 months)

Developed a multi-agent system using CrewAI to build a Shop Agent that aggregates and ranks product suggestions across e-commerce platforms. Designed a three-tier memory hierarchy using in-memory context, Qdrant for vectorized episodic memory, and MongoDB for long-term persistence, and collaborated with mentors to document the architecture and benchmarks in a research paper.

Education

Degrees, certifications, and relevant coursework

BMS College of Engineering logoBE

BMS College of Engineering

Bachelor of Technology, Information Science Engineering

2022 -

Grade: CGPA: 9.36

Pursuing a B.Tech in Information Science Engineering at BMS College of Engineering (CGPA: 9.36).

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