Pathik Patel Email & Phone Number

Illinois, United States

• Spearheading the design and development of innovative Proof of Concepts (POCs) for new features and complex architectures within the LLM pipeline. Leveraging deep understanding of machine learning principles and.
• Engaging in cutting-edge research involving RAG (Retrieve, Analyze, Generate) pipeline and support docs architecture. Contributing insights and expertise to drive advancements in research methodologies and.
• Orchestrating the development and deployment of cutting-edge NLP and LLM models for Generative AI applications, text classification, information extraction, NER extraction, text clustering, and text summarization..
• Automated the data science platform by building and managing data pipelines and extensions that bridges NoSQL-databases, APIs and Machine Learning Engine.
• Developed a dynamic LLM pipeline that efficiently incorporates new features and requirements by optimizing prompt engineering. Extensively utilized a vector database for grouping and clustering, with integrated.

• Working on cutting-edge language models LLMs such as GPT-3, GPT-4, Llama 2, and Anthropic models (Claude Instant-1, Claude 3 – Haiku) and many more to extract business intelligence dimensions from complex data using.
• Leveraging advanced natural language processing techniques in Python to extract and categorize customer CEH (Complaints, Enquiries, and Helpdesk) data, providing valuable insights into customer behavior and.
• Working on call analytics for call center data, utilizing Python-based speech recognition technology and various APIs for transcription and speaker classification to extract insights containing NLU. Developing a custom.
• Utilizing AWS services like Code Commit, AWS Comprehend, AWS Lex, and AWS Sage Maker for development and seamless deployment, incorporating Python scripts and core Python knowledge for integration with cloud services.

Ahmedabad, Gujarat, India

proficient in ML algorithms like Regression, Classification, Clustering, and Dimensionality Reduction, as well as Deep Learning architectures including CNNs, RNNs, GANs, and Federated Learning. I use industry-leading frameworks like TensorFlow, PyTorch, Keras, Tf-agents, and Scikit-Learn.

India

Developed LSTM models for Rain Forecasting on GSMAP-18 Data and CNN models for ImageSegmentation on day-to-day and hourly images of Rain. Worked on highly non-linear chaotic systems in Deep-Data Assimilation using high-end GPUs to traindeep learning models. Conducted research on "Development of Deep Data Assimilation for Geophysical Model" based on the.

Ahmedabad, Gujarat, India

I work with students to help them in their final year project.along with that I train them how carried out full stack approach towards project work with web development, machine learning project and IOT based project.

Master Of Technology - Mtech, Computer Science With Specialization In Data Science

Bachelor'S Degree, Computer Science, 7.68

Activities and Societies: participating in robocorn event also participating in coding event... ex:- it quiz,code wars,swap code etc..