Harisyam Manda is a Founding Member and senior Data Scientist with 8 years of experience building production ML and data platforms across energy, automotive, and industrial domains. He has led award-nominated Generative AI and RAG solutions that halved reporting time and eliminated external consultancy costs, and has deep hands-on expertise in AWS, PyTorch/TensorFlow, PySpark, and MLOps (K8s, Docker, GitLab CI/CD). His background spans end-to-end forecasting, predictive maintenance, and serverless ETL pipelines, with implementations in Databricks, SageMaker, Azure ML and Evidently AI monitoring. A former presenter at ADIPEC and Databricks Data & AI Summit finalist, he combines research-grade methods (LSTMs, TCNs, Bayesian NN) with pragmatic deployment patterns (FastAPI, Lambda) to drive business impact. Based in Graz, Austria, he balances engineering and product outcomes as a founder while maintaining an active GitHub presence focused on applied ML projects.
8 years of coding experience
10 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Nanodegree Data Engineering, Nanodegree Data Engineering at Udacity
Master’s Degree M.Sc. Computational Science, Master’s Degree M.Sc. Computational Science at RWTH Aachen University
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Harisyam Manda - Founding Member at AEDDIX Systems GmbH