Open to opportunities

Sowmya Sanjana Tuvvara

@sowmyasanjanatuvvara

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AI and Data Science intern focused on Generative AI, LLMs, multi-agent systems, and data-driven automation.

India

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What I'm looking for

I seek roles where I can build production-ready generative AI and multi-agent systems, work with LLMs and vision models, and grow in a collaborative, research-driven engineering team.

I am an AI and Data Science practitioner with hands-on experience building generative AI systems, multi-agent workflows, and data-driven models. During an AI internship, I developed Open Deep Researcher — a modular, multi-agent research assistant that automates web research, citation-aware report generation, and local file access integration.

My technical work spans Python, SQL, TensorFlow, PyTorch, LangChain, and LangGraph, and includes projects like a blind assistance system using SSD MobileNet and a hybrid object detection model combining YOLOv8 and DETR evaluated on COCO 2017. I emphasize clean tooling, async execution, and secure sandboxing for cross-platform compatibility.

I bring a practical, results-oriented approach to AI product development, combining research-focused system design with production-aware engineering to deliver reliable automation and intelligent user-facing features.

Experience

Work history, roles, and key accomplishments

Artificial Intelligence Intern

Infosys Springboard

Aug 2025 - Oct 2025 (2 months)

Built Open Deep Researcher, a multi-agent AI system using LangChain and LangGraph that automates research and generates citation-backed reports; designed a three-phase Scope-Research-Write workflow and implemented a Multi-Agent Supervisor to coordinate parallel research agents.

Python Lang Chain LangGraph Agentic Systems Async Programming API Integration Prompt Engineering

Education

Degrees, certifications, and relevant coursework

B.V. Raju Institute of Technology

Bachelor of Technology, Artificial Intelligence and Data Science

2021 -

Grade: 7.79 / 10

Pursuing B.Tech in Artificial Intelligence and Data Science with practical projects in multi-agent LLM systems, object detection, and hybrid models; CGPA 7.79/10.