Hire Venkat R. - RAG Engineer

About venkat

BACKGROUND SUMMARY: * Proven Machine Learning Engineer with experience in all phases of ML and Data Lifecycle. * AI Engineering Experience in developing Generative AI applications using OpenAI/LLM api’s, Langchain api, Vector databases, Retrieval Augmented Generation (RAG) techniques. * Experience in machine learning Infrastructure, Model Selection, Model building, Performance Evaluation, MLOps. * Designed Agentic AI applications to automate complex decision-making workflows. * Expertise in Python. * Experience with libraries like scikit-learn, Tensorflow, Keras, pytorch, pandas, numpy, matplotlib, OpenCV. * Good Experience in Big Data Technologies, Hadoop, Hive, Spark. * Experience with AWS cloud Services like Redshift, RDS, Snowflake, EC2, EMR. * Building /training models using AWS Sagemaker. * Utilized Different components of Google Cloud Platform like VertexAI, Gemini. * Tracking of ML Experiments using MLflow. * Knowledge in harnessing Llama 2 models via Hugging Face's Transformers pipeline integration. * Completed numerous online Machine learning, Artificial Intelligence and computer vision courses and obtained certifications. * Extremely interested in working with Multimodal data like audio, images, video. * Good Knowledge of Using and Fine-Tuning Vision Language Models. * Worked on projects to utilize and fine-tune vision models such as YOLO, PaliGemma, Stable Diffusion, and LLaVA. * Both Startup and Fortune 1 Company Experiences with ability to achieve success despite ambiguous requirements and environments. * Expertise includes Data Architecture, Design, Data Analysis, Data Modeling, Data Cleansing, Transformation, Integration, Data import, Data export, Automation, Distributed Systems. TOOLS AND TECHNOLOGIES: DL/ML/CV/AI Libraries: OpenAI api, Langchain, Sklearn, Tensorflow, Keras, pytorch, pandas, numpy, matplotlib, OpenCV,Vertex AI, Gemini, Ultralytics, Roboflow, ADK ML Ops/Infra : AWS , AWS Sagemaker, MLflow, Docker, GCP Languages : Python, Unix Shell Scripting Databases : PineCone, Snowflake, Redshift, Netezza, Teradata, Oracle, postgres, SQL BigData : Hadoop, Hive, Spark ETL Pipelines: Python , DBT, Airflow, Informatica , Talend, BI Tools: Business Objects, Tableau, Thoughtspot, Sisense, Mode Git: https://github.com/venkatram-dev https://github.com/AIBotTeachesAI Youtube: https://www.youtube.com/@AIBotTeachesAI

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