Ganesh Prasad Shivakumar

About Ganesh Prasad Shivakumar

I am an experienced leader who is passionate about building high impact teams and systems that enhance user experience and/or user value. My areas of interest include Recommendation Systems, Personalization, Marketing Technology, Growth, Online Advertising, LLMs, and Generative AI.With over 7+ years of Machine Learning and Software Engineering experience, I am a passionate and innovative research engineer who specializes in deep learning, computer vision, and generative AI. My mission is to leverage AI for social good and to create positive impact in the world. I recently worked at Amazon and AmazonRobotics, where I focus on integrity for Data Gathering, Data Lakes, Data Partitioning, Generative AI, semantic segmentation, MultiModal Transformers, LLMs.My commitment to continuous learning is evident in my proactive efforts to stay abreast of the latest developments in AI. Professionally, I have undertaken comprehensive roles in the end-to-end development of machine learning products. This involves proficiency in Data Analysis, Data Engineering, Data Visualization, Data Modeling, Machine Learning Model Deployment, and the creation of Analytics Frameworks to tackle diverse business problems. Languages: Java, Golang, Python, C++, Javascript, ReactJS Statistics: Inferential Statistics, Experimental Design, Hypothesis Testing (A/B Testing), Regression Analysis Big Data Tools: Airflow, Spark, Hadoop, Hive, DataBricks, Grafana, Kafka, Cassandra, MapReduce, ETL, ElasticSearch, KubeFlow Pipelines Tools: Google Analytics, Airflow, Tableau, Git, Travis, Github Actions, Jenkins, Docker, Kubernetes, JIRA Libraries: CUDA, Spacy, TensorFlow, PyTorch, NumPy, Pandas, NLTK, Scikit-learn, Seaborn, Spark.ML, Matplotlib, Selenium, SQLAlchemy, FlaskRestPlus, FastAPI Databases: Relational Database (MySQL, MSSQL, PostgreSQL, DynamoDB); NoSQL Databases (MongoDB); Redis, RedShift Methodologies & Frameworks: Agile, Scrum, Kanban, Design Thinking VCS, MLOps, DevOps & Misc Tools: Jupyter Notebook, Spyder, RStudio, Visual Studio, IntelliJ IDEContact Details:Email: g••••••••@gmail.comGitHub: https://github.com/ganeshparsadsPhone :+16•••••••29

Experience

1. Software Development Engineer 2

   Amazon Web Services (AWS)

   Mar 2025 — Present · Seattle, WA, US

   Working on the EKS Kubernetes team, where we develop highly scalable observability tools for enterprise customers. Our focus is on building and deploying these monitoring solutions directly into Kubernetes clusters to provide comprehensive visibility and insights.

Education

• Massachusetts Institute of Technology

  Introduction to Deep Learning

• Northeastern University

  Master of Science - MS, Computer Science

• Sri Jayachamarajendra College of Engg., MYSORE

  Bachelor of Engineering - BE, Electrical, Electronics and Communications Engineering