π As a Master's student in Information Systems at The University of Texas at Arlington, I possess a wealth of knowledge and expertise in cutting-edge technologies. My skills span across Python, TensorFlow, PyTorch, LangChain, and LlamaIndex, showcasing my prowess in AI and data engineering.
π₯ Currently, I am pioneering the integration of large language models (LLMs) into enterprise applications, seamlessly blending generative AI capabilities with existing software stacks, boosting productivity by an impressive 35%.
π My achievements are remarkable, including architecting and deploying state-of-the-art generative AI models like GPT-3, PaLM, and LaMDA, achieving up to 60% faster completion times for complex tasks.
π‘ I have developed custom prompting techniques and fine-tuning strategies, leveraging advanced NLP and transfer learning methodologies, resulting in up to 25% improved accuracy and relevance.
π My accolades include securing First Place in Datathon 2023 among 250 competing teams, receiving the Star Employee Award from a client, and serving as the Chief Financial Officer for the Data Science Student Club.
- Generative AI Technologies: OpenAI (GPT-3, ChatGPT), Google Gemini Pro, Fine-tuning, Vector Embedding, NLP
- AI Deployment and MLOps: AWS Bedrock, Hugging Face Spaces, Docker, Kubernetes, CI/CD pipelines
- Machine Learning: TensorFlow, PyTorch, XGBoost, Data Augmentation
- Languages and Frameworks: Python, LangChain, LlamaIndex, Streamlit, Flask
- Databases and Data Engineering: MongoDB, AWS Redshift, ChromaDB, Talend ETL
- Cloud and Infrastructure: AWS (EC2, Lambda, S3, EMR, DynamoDB), Azure