Neelabh Prajapati

Researcher Ai & Ml Lead @PwC

Dallas, TX, US

I\'ve implemented various architectural designs cater to In-context Training, Summarization, Classification, QnA and Generation, each backed by a specific tech stack. My commitment to security is showcased through my extensive work on Deployment Security, ensuring robustness across all facets. Influenced and contributed to operating the entire Azure AWS and Google platform using modern tech-nologies such as Vertex AI, BigQuery, Azure MLOps, FAST API, Apache Beam, Apache Airflow, Pub/Sub, EventArc, etc. Led innovation hub initiatives focused on AI/ML, including Proof of Concept (POC) implementation and presentation to leadership, using TensorFlow, PyTorch, Hadoop, Anylogic, Weka, R/RStudio, and KNIME Successfully implemented and launched user-facing search and discovery features using efficient ML mod-els. Proficient in popular deep learning frameworks such as TensorFlow, PyTorch, or Keras, enabling the im-plementation of complex neural models. Expertise in programming languages like Python and R Language for algorithm and model optimization. Developed and implemented tailored neural network architectures for complex information retrieval tasks, including ranking and recommendation systems. Conducted a detailed analysis of various cost factors in AI/ML implementations, including Lifecycle, Operational, Inference, and Development Costs, ensuring budgetary compliance and cost-effectiveness. Performed Deployment Security initiatives, drafting a comprehensive Deployment Security Policy in a production environment. Conducted an in-depth \"Hyperscaler Comparison Quick look\" to evaluate various hyperscale computing solutions and assessed the feasibility of CPU Inferenced LLMs, ensuring optimal performance and scalability in AI/ML implementations. Developed and operated machine learning models and pipelines to support business objectives. Implement wallet address validation through different blockchain sign and verification processes.