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Hemanth Maddila

@hemanthmaddila

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Lead AI architect and data platform engineer building cloud-native ML systems and MLOps.

United States

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What I'm looking for

I seek to lead technical AI efforts where I can build cloud-native MLOps platforms, deliver production ML, and translate research into commercial impact within a collaborative, product-focused team.

I am a Lead AI Architect and Data Platform Engineer with four years of experience delivering end-to-end machine learning solutions that move from research to production.

My background spans foundational AI research and co-founding an AgTech startup, where I led a multidisciplinary team to build a cloud-native MLOps platform, autonomous control systems, and vision-based diagnostics.

I architect scalable data infrastructures and production ML pipelines using AWS, GCP, Azure, Kafka, Spark, and Snowflake, and I design models with PyTorch, TensorFlow, and transformers for RAG, computer vision, and reinforcement learning.

I have driven measurable impact — including a simulated 20% improvement in yield-to-energy ratio, 15% reduction in churn, and production healthcare models with an AUC of 0.82 — and I prioritize robust engineering, reproducibility, and clear business outcomes.

Experience

Work history, roles, and key accomplishments

Lead AI Architect

Nirlepa

Oct 2024 - May 2025 (7 months)

Co-founded and led a multidisciplinary team to build a cloud-native, autonomous precision farming platform, architecting DQN-based control systems and vision diagnostics while delivering a production MLOps stack with Kafka, Spark, and Snowflake.

Reinforcement Learning PyTorch Kafka Spark Snowflake Faiss RAG MLOps

Research Assistant

Invention and Innovation Group

Aug 2024 - May 2025 (9 months)

Authored foundational research and a digital twin paradigm for Controlled Environment Agriculture, developing a PyTorch DQN that improved simulated yield-to-energy ratio by 20% and de-risked core IP for commercialization.

PyTorch Simulation CNN

AI Developer Intern

Blue Cross and Blue Shield of Texas

Jun 2024 - Aug 2024 (2 months)

Developed a HIPAA-compliant predictive model for 30-day readmissions, engineering ETL pipelines for 50,000+ members, creating 20+ features and achieving an AUC of 0.82 on the test set.

Python SQL ETL Logistic Regression HIPAA

Lead Machine Learning Engineer

Infelearn Private Limited

Aug 2021 - May 2023 (1 year 9 months)

Led ML platform development on AWS, built ETL pipelines and MLOps workflows, deployed XGBoost churn model reducing churn by 15% and a content-based recommender increasing retention by 10%.

AWS Glue Spark Sagemaker XGBoost NLP TF IDF Terraform MLFlow CI CD

Data Analyst Intern

ShapeAI

Jun 2021 - Aug 2021 (2 months)

Performed EDA on salary data, produced Tableau and Power BI dashboards to inform marketing strategy, and automated preprocessing workflows reducing prep time by 20%.

Pandas SeaBorn Tableau Power BI Data Cleaning Automation)Python

Education

Degrees, certifications, and relevant coursework

University of North Texas

Master of Science, Artificial Intelligence

Master of Science in Artificial Intelligence with coursework in machine learning, deep learning, NLP, reinforcement learning, and computer vision; research developed a digital twin paradigm and a DQN control policy improving simulated yield-to-energy ratio by 20%.