Ashwath David
> Masters Student // University of Maryland, College Park
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[ About Me ]
A passionate Masters student specializing in Data Science with a focus on building intelligent, scalable AI systems. My core interests lie in LLMs, Generative AI, and Autonomous Agents. Outside of the digital world, I am a dedicated martial arts practitioner.
[ Core Skillset ]
- > LLM Fine-Tuning & RAG Systems
- > Generative AI Model Development
- > AI Agent & Autonomous System Design
- > Natural Language Processing (NLP)
- > Deep Learning (PyTorch, TensorFlow)
[ Work Experience: Prodapt ]
> Software Engineer (Full-time)
- > Architected a GenAI-powered SDLC platform from requirements to impact analysis.
- > Implemented a call graph strategy, boosting code context understanding by 10x.
- > Deployed GenAI solutions for major telecom clients like Ciena and Blue Planet.
- > Engineered an enterprise-grade RAG framework, now offered as a semantic search solution.
> Intern
- > Implemented RAG systems to enhance AI-generated content relevance.
- > Optimized LLM performance through advanced prompt engineering techniques.
- > Fine-tuned LLMs on custom datasets to meet specific business requirements.
[ Research Log ]
Comparative Analysis of Various Feature Extraction Methods on IoT 2023
Published in Procedia Computer Science
T-VEC: A Telecom-Specific Vectorization Model
> STATUS: Accepted at EMNLP 2025