Dhiraj Patra's Linkedin Analytics

I'm a dedicated professional and the holder of patented AI applications with a strong foundation in Data Science and Data Analytics, and a passion for designing and implementing Cloud Architectures for AI applications. My expertise lies in harnessing the power of Industry 4.0. With a keen interest in Robotics, IoT, and AI, I explore the endless possibilities of integrating these technologies to create intelligent systems that can learn, adapt, and interact with their environment. My fascination with GenAI has led me to delve into the latest advancements in generative models and their applications in various industries. Professional Experience As a Cloud Architect for AI applications, I design and deploy scalable, secure, and efficient cloud infrastructures that support the development and deployment of AI models. My experience in Data Science and Data Analytics enables me to collect, analyze, and interpret complex data sets, uncovering insights that inform business decisions and drive growth. Hobby and Interests I have a lifelong passion for learning and innovation, and I'm committed to staying up-to-date with the latest developments in Industry 4.0 and Automation. I enjoy solving complex problems and developing smart solutions that leverage the power of AI, Robotics, and IoT. With a strong desire to continuously learn and improve, I've been dedicated to this field for years. AI/ML, GenAI, and LLM: - Fine-tuning and customizing pre-trained AI/ML models from leading providers such as OpenAI, Gemini, LLaMA, Phi, Florene, Gemma, Anthropic, Google, Cohere, MistralAI, and TogetherAI. - Proficient in developing intelligent conversational AI bots, agents, and local copilot applications using RAG and Graph knowledge base. - Expertise in handling diverse datasets, integrating AI solutions, and maintaining optimal performance. - Strong background in AI, NLP, and ML technologies with a proven track record of delivering high-performance AI solutions. Data Analytics and Data Science: - Advanced data analysis using Python, R, pandas, numpy, graph and Jupyter notebooks. - Machine learning model development and evaluation with scikit-learn, TensorFlow, and PyTorch. - Data visualization and storytelling with tools like Matplotlib, Seaborn, Plotly, and Power BI. - Strong proficiency in SQL for data manipulation, extraction, and reporting. - Data Pipelines: Creation using Python, pandas, pyspark, SQL Server. - REST APIs: With Flask, FastAPI, Django, paho, celery, GraphQL, SQL queries with SQLAlchemy, psycopg. - Protocols: MQTT, AMQP, CoAP, Zigbee, and HTTP.