Vaibhav Dandala

Project Lead

180 Degrees Consulting NC State

Dec 2025 - Current (9 months)

Co-Founder

Walter

Dec 2025 - Current (9 months)

building git for clinical research walter-bio.com

Technical Consultant

180 Degrees Consulting NC State

Sep 2025 - Dec 2025 (4 months)

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Machine Learning Engineer

UNC Department of Radiation Oncology

Aug 2025 - Current (1 year 1 month)

Developing deep learning models that use convolutional neural networks (CNNs) to analyze medical images and identify subtle patterns that are difficult to detect with the human eye. My work involves building systems that can compare and interpret imaging data over time, helping researchers and clinicians gain clearer insights from complex scans. By combining technical development with close collaboration alongside medical experts, I’m contributing to a proof-of-concept AI tool aimed at improving consistency and confidence in clinical decision-making.

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Undergraduate Research Assistant

NextG Lab@NC State

Aug 2025 - Jan 2026 (6 months)

Researcher for Next G Wireless Lab under Dr. Vijay Shah. Building the LLM Copilot for 5G Networks & ORAN.

AI/ML Researcher

NASA Jet Propulsion Laboratory

Jun 2025 - Feb 2026 (9 months)

Collaborated with Dr. Sambit Bhattacharya and researchers/scientists from NASA's Jet Propulsion Laboratory (JPL) and Goddard Space Flight Center, contributed to the cutting edge of AI applications in space research and data intelligence. My work focuses on developing a Retrieval-Augmented Generation (RAG) assistant capable of interpreting natural language queries, intelligently retrieving relevant content from NASA’s internal JPL databases, and falling back to custom-trained models when necessary. Key areas include large language model (LLM) fine-tuning, vector store design, search optimization, and scalable ML pipeline deployment. Actively engaged in building systems that enhance information accessibility for scientific teams working with

ML Engineer Intern

United States Department of War

Apr 2025 - Jul 2025 (4 months)

Conducted applied machine learning research as part of a federally supported initiative in collaboration with researchers, machine learning engineers, and the U.S. Department of Defense. My work focused on developing efficient, real-time ML models for deployment on edge devices. Key areas of this project include object detection, pose estimation, model optimization (e.g., quantization), and synthetic data generation for robust system evaluation. Actively engaged in testing and refining AI pipelines to ensure reliable performance under hardware-constrained environments.

Backend Developer Intern

eBoxchain

Jun 2024 - Aug 2024 (3 months)

- Developed and optimized scalable RESTful API endpoints using Django Rest Framework (DRF) and PostgreSQL, enhancing backend performance and ensuring data consistency across services. - Implemented robust unit and integration testing frameworks, significantly increasing test coverage and reducing backend-related bugs by over 40%. - Collaborated cross-functionally with frontend and product teams to streamline API design and improve system reliability for end users. Through this internship, I deepened my experience in backend development, API design, relational databases, and writing production-ready code that drives measurable improvements in system stability.

AI Developer Intern

HavenSmart, LLC

Apr 2024 - Jun 2024 (3 months)

- Responsible for designing and deploying an end-to-end Retrieval-Augmented Generation (RAG) chatbot to automate customer support for clients interacting with smart home devices. - Leveraged tools such as LangChain, PineconeDB, Python, and the OpenAI API to build a conversational AI assistant that could accurately respond to product-related queries using the company’s technical documentation. - Developed a robust document-processing pipeline that parsed, chunked, embedded, and indexed internal resources into a vector database, allowing for fast and context-aware retrieval of relevant answers. Through this internship, I deepened my experience in LLM applications, vector databases, prompt engineering, and building AI-powered tools that delive

Software Engineer Project Intern

UnitedHealth Group

Jun 2023 - Jul 2023 (2 months)

Crafted a tech solution with a group of other high school interns focused around the 5 strategic growth areas of United Health Group. Learning to connect with others, create solutions, and impact the world. Created a framework and prototype of the use of Consortium Block-Chain Technology in order to combat the various cyber attacks that have targeted UHG. - Backend built using Python, Hashlib - Frontend built using Javascript - Blockchain API requests

Software Engineer Intern

Kollegio

May 2023 - Aug 2023 (4 months)

- 15 Interns out of 1000+ applications < 1.5% acceptance rate - Worked alongside Software Developers to create the activity brainstorming feature within the Kollegio application using React JS, Python, HTTP requests, API handling, and CRUD database management to create a back-end model utilizing the ChatGPT API and a sleek front-end design - The AI Activity Brainstormer focuses on high-school students' extracurricular potential to take their interests and create passion project ideas, business ideas, and club ideas to increase their involvement in community efforts and assist with their college application. - I also collaborated with the Kollgeio AI board in order to validate data of Kollegio Systems as well as work with the Kollegio Intern

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