Responsibilities & achievements

• Conducted research in genetics. • Implemented cybersecurity measures. • Developed Natural Language Processing (NLP) techniques. • Utilized Generative AI tools like Hugging Face, OpenAI, Llama 3, Claude, and Gemini, including model fine-tuning. • Managed Elasticsearch for vector search, NLP model deployment, and image search. • Leveraged Azure Machine Learning and data science methods. • Worked with NVIDIA technologies like Morpheus and Triton, and managed data pipelines using Alteryx. • Performed parallel computing with CUDA for Nvidia Machine Learning. • Maintained DASK for resource management.

Responsibilities & achievements

• Transformed therapist-patient conversations into text. • Developed a text cleaning and normalization pipeline. • Ingested cleaned text into the model using Retrieval-Augmented Generation (RAG) techniques. • Uploaded specialized psychology texts to the LLM for improved analysis. • Employed Prompt Engineering to recognize patient issues and hidden information. • Assisted psychologists in designing effective therapy based on recognized problems. • Designed individualized therapy plans using insights from conversations and specialized texts. • Utilized Python, Langchain, OpenAI, and Streamlit in development. • Conducted accuracy tests using a case database, achieving over 95% accuracy.

Responsibilities & achievements

• Utilized tools and technologies such as Artificial Intelligence, Machine Learning, and Generative AI to execute innovative projects. • Implemented Tree of Thoughts Paper (ToT) using LangChain and Python. • Executed Microsoft AutoGen functionalities, including MatchChat, RetrieveChat, Compression, DALL-E, GPT-4, RAG, Assistant function calls, Panning, and Completion. • Developed various use cases for LlamaIndex, including Question Answering, RAG, and Summarization. • Created an interactive database interface for Chat Analytics, capable of responding to SQL, CSV, and XLSX user queries. • Designed a custom chat application using LangChain and OpenAI to ingest and process large volumes of documents. • Developed a chat-based summarization tool using LangChain and OpenAI to condense extensive documents. • Engineered an interactive GPT-4 Automatic Code Reviewer that analyzes and provides feedback on code submissions. • Created a sentiment analysis application using OpenAI GPT to assess and categorize blog comments as negative, neutral, or positive. • Built a versatile Question and Answering system with Hugging Face to address inquiries on various topics.

Responsibilities & achievements

• Utilized tools and technologies such as Machine Learning, Artificial Intelligence, NLP, Computer Vision, and Data Engineering to drive project success. • Developed an Object Detection system for identifying objects in images and videos, focusing on ceilings and walls in a factory environment using Python, OpenCV, Yolo, and Microsoft Azure. • Designed an Oil Spill Detection solution to identify oil spills early, leveraging computer vision techniques with Python, OpenCV, Yolo, and Microsoft Azure for swift environmental hazard response. • Created a Custom Meeting Chat application that converts meeting voice recordings into text transcripts, processing the data with Langchain and OpenAI to enhance communication and information retrieval.