Muralidhar Reddy

Experience

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  Finoramic

  Nov 2017 - Dec 2018

  AI Engineer Intern

  • Implemented machine learning algorithms [base models], ensured data quality and accessibility.• Analyzed and understood ML code, adept at bug fixing and proficient in new program development.• Performed thorough exploratory data analysis (EDA) on large datasets, leading to the development of visually engaging Tableau dashboards that provided profound insights.• Engaged in continuous learning, participating in code reviews, and adhering to best practices for AI development.• Participated in troubleshooting and debugging of user issues, demonstrating commitment to reliability and performance of AI solutions.• Learned and applied AI frameworks such as Scikit learn, NLTK in developing and implementing machine learning models. Show less

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  Cognizant

  Jan 2019 - Jul 2022

  AI/ML & Data Engineer.

  • Collected & preprocessed data for ML projects, resulting in data sets with 95% improved quality & accessibility.• Extracted different types of data from different resources like websites [selenium python], pdf, excel, Json, SQL, datasets and so on.• Utilized TensorFlow, PyTorch, or Keras frameworks to train deep neural networks for autonomous vehicles, contributing to the development of 20+ successful models.• Optimized model performance through hyperparameter tuning and experimentation with optimization algorithms such as SGD and Adam in e-commerce recommendation systems, resulting in 15% performance enhancement.• Implemented learning rate scheduling and early stopping techniques in natural language processing models for sentiment analysis, reducing training time by 20%.• Evaluated model performance on validation and tested datasets using metrics such as accuracy, precision, recall, and F1-score in customer churn prediction for telecom industry, achieving an average accuracy of 90% across multiple projects.• Led the design and implementation of on-premises MLOps solutions, collaborating with data scientists and software engineers.• Contributed to the innovation and improvement of AI/ML projects, leading initiatives using NLP, Sci-kit learn, and LLM models.• Utilized Python and AWS Sage Maker to create knowledge generation algorithms applied to pharmaceutical products.• Managed the deployment of machine learning models in production, achieving a 15% increase in model accuracy and a 20% improvement in real-time processing speed.• Successfully migrated from on-premises to AWS using Apache NiFi and Oracle 19c to Snowflake Data Warehouse.• Worked with AWS services (DynamoDB, EMR, S3, ML, Redshift) and deployed ADF data streams in production.• Developed Python web crawlers for data extraction and experienced in DataStage for data quality.• Skilled in ETL tools (Azure Data Factory, Talend, Informatica, Amazon Glue, SSIS) and AWS Data Engineer. Show less

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  University of South Florida

  Aug 2022 - Nov 2023

  USF IT Developer

  • Studied M.s Business Analytics & Information Systems STEM field (Math’s, Computer Science, technology) with a strong statistical background. at USF [Tampa, FL] while working as a student proctor in the Student Center, enhancing business analyst abilities & knowledge of latest AI technologies.• Gained expertise in Artificial Intelligence Foundations (NN, CNN, RNN, LLMs), Data Science Program, Deep Learning, Data Mining (Machine Learning models), Big Data (Hadoop, Hive, Cassandra, Spark), and Data Visualization [Tableau, Power BI, Excel, matplotlib, seaborn].• Led the design, implementation & leadership of USF chat bot using Lang chain (LLM RAG model), Pinecone, OpenAI, Python.• Spearheading research at the forefront of cloud, AI, and machine learning, implementing innovative methodologies to drive advancements.• Actively observed technology trends across the industry and conducted research spikes for new capabilities and innovation opportunities. Show less