Kishore M.

Experience

1. Ai Ml Engineer

   Verizon

   Aug 2023 — Present · Atlanta, GA, US

   Designed and executed end-to-end AI/ML solutions, from business problem understanding and data preparation to model deployment and performance monitoring. • Worked with PostgreSQL (pgAdmin), Cassandra (DataStax), and SQL Developer tools to query, extract, and analyze structured/unstructured data from BPM and MTAS databases. • Built REST APIs using Python (FastAPI/Flask) and integrated models into production with containerized environments (Docker, Kubernetes).• Built and deployed scalable LLM-powered analytics and predictive systems in production environments using cloud platforms (AWS/Azure/GCP).• Developed and executed LLM training and deployment strategies, reducing training time and improving inference efficiency.• Engineered and maintained large-scale Python/PyTorch ML systems, implementing modular frameworks, reusable utilities, and CI/CD-integrated pipelines for research and production environments.• Extensively used Jupyter Notebook for data cleaning, transformation, and feature engineering, including handling missing values, outlier detection/removal, and applying statistical imputations (median/mode/mean/min/max). • Leveraged Python libraries such as NumPy, Pandas, Scikit-learn, Seaborn, Matplotlib, and Psycopg2 for statistical analysis, predictive modeling, and data visualization. • Designed and optimized custom PyTorch DataLoader and dataset pipelines for distributed training, leveraging data sharding, caching, and parallel I/O to improve training throughput and scalability.

Education

• Sree Dattaha Group of Institutions

  Bachelor of Technology - BTech, Computer Science