Hi, I'm Abhya!
I'm a Computer Science graduate student at Emory University, specializing in Machine Learning and Artificial Intelligence. With a strong foundation in Natural Language Processing and Deep Learning, I combine theoretical knowledge with practical implementation to tackle complex AI challenges.
My current research focuses on two critical areas in AI: Catastrophic Forgetting in Large Language Models and Temporal Dynamics in Language Models. Through these projects, I'm working to enhance the learning capabilities and temporal understanding of AI systems.
With expertise in PyTorch, TensorFlow, and modern ML frameworks, I've developed practical solutions across various domains. My recent work includes fine-tuning BERT models, implementing efficient learning algorithms, and exploring applications of Generative AI.
Skills
Core Strengths
- Python Programming
- Deep Learning
- Natural Language Processing
- Data Analysis
ML/DL Frameworks
- PyTorch • TensorFlow
- Scikit-learn • Hugging Face
- NLTK • Keras
LLM Experience
- Strong: BERT Fine-tuning, Prompt Engineering
- Familiar: GPT API, LLaMA
Data & Analytics
- Strong: Pandas, NumPy, Matplotlib
- Familiar: Tableau, Power BI
Development Tools
- Strong: Git, Jupyter, VS Code
- Learning: Docker, FastAPI
Cloud Platforms
- Familiar: AWS (EC2, S3)
- Learning: SageMaker, GCP
Certifications
On-Going Work
- Research: Catastrophic Forgetting In Continual Learning For Large Language Models
- Research: Temporal Dynamics in Language Models ( Dissemination Phase )