Hey there! π Iβm a Data Science Master's student at Stony Brook University, blending advanced ML/AI research with real-world engineering.
From LLM Agents and Transformer models to distributed systems, Iβm on a mission to transform data into next-level solutions.
- π± Currently Learning: LLM models, RAG, Transformer architectures, distributed computing, advanced deep learning.
- π Current Focus: Long-context transformers, semantic retrieval (RAG), and scalable cloud solutions.
- π― Looking to Collaborate: Open-source AI/ML & data engineering projects.
- π¬ Ask Me About: NLP, cloud computing, ML pipelines.
- π Fun Fact: Basketball fan β Michael Jordan, LeBron James, and Stephen Curry inspire me daily!
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Multi-AI Agent Reasoning Model
Collaborative AI agents leveraging GPT-based reasoning, RL policies, and parallel workflows. -
Refined RAG: Precision Retrieval
Turning PDFs into semantic chunks with Qdrant and FlashRank for lightning-fast retrieval. -
Digital Asset Management (DAM)
Full-stack platform for media asset organization with role-based authentication and dashboards. -
CloudPipeline
Serverless document processing on AWSβevent-driven, scalable, and seamless. -
Ensemble Modeling Framework (R Package)
Modular R package integrating ensemble methods (RF, Bagging, Lasso, etc.) for predictive analytics.