Jayant Kumar Mulmoodi

About Jayant Kumar Mulmoodi

Jayant has 18+ years of experience. He is seasoned Data Scientist with a blend of practical experience on Analytics solutions based on Big Data and Machine learning which includes of NLP, Deep learning(CNN,RNN model architectures) & Generative AI LLMs, Cloud technology. Exposure to application deployment in production environments. A senior Data Scientist, a machine learning Practitioner, a Big Data Practitioner and cloud technology practitioner and experience on various technologies in complete software development lifecycle. A solutions-focused, business-flexible and consulting in architecture, design, implementation and support on all platforms in diverse industries from concept to implementation. An adaptable team player who will quickly acclimatize and apply diverse experiences to translate requirements into solutions. Merging strengths in Big Data, Machine learning, NLP, Prompt Engineering, Productionizing Machine learning applications, application development, data systems and business analysis to resolve issues, reduce maintenance, and meet deadlines. Area of expertise include PySaprk, Spark with Scala, Python, machine learning, NLP and Deep learning, Snowflake, DBT, Tableau and PowerBI. He has Practical experience on Databricks Cloud, GCP and AWS cloud, knowledge on Azure stack, Flask, Django,kubeflow, FastAPI and Streamlite. Experience on MLOps, Production Systems. Optimizing the SCALA code, fine tuning spark applications for performance improvements. Extensive Knowledge on AWS services like Redshift, GLUE. Cloud based data solutions including AWS, Azure and GCP, serverless components including EMR, Lambda, RedShift, Glue, HDInsights, Azure Data Factory, Synapse Analytics, Databricks and Snowflake Cloud Datawarehouse, Apache Airflow. Data warehousing and reporting tools like SnowFlake, DBT, Tableau and PowerBI Fine-tuned and deployed the DitillBERT model that can be integrated bot to answer questions on history reducing 30% of operational expenses. Developed and tested YOLO-based object based models through kubernetes based device management platform. evelop an design approach for cloud agnostic knowledge management system by using Large Language Model based on LLM and vector databases. Hands-on experience in developing and deploying Generative AI models, including Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs)

Experience

1. Education Mentor

   Blackbucks Group🦌

   Oct 2023 — Present · Hyderabad, IN

Education

• Birla Institute of Technology and Science, Pilani

  Master of Technology (M.Tech.), Software Systems (Data Analytics Specialization)

  2017 — 2019

• Osmania University

  Bachelor's degree, Mechanical Engineering

  2001 — 2005

• International School of Engineering (INSOFE)

  Certificate in Engineering Excellence, Big Data Analytics and Optimisation

  2015 — 2016