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I'm Sudhanva Sridhar Bhat, an AI/ML Full Stack Engineer with 4+ years of experience designing, validating, testing and deploying ML and LLM-powered applications. I focus on building robust, scalable data workflows and transformer-based models, and I enjoy delivering end-to-end pipelines that drive real-world impact. I pursue reproducibility and measurable operational improvements in production settings and collaborate closely with cross-functional teams to translate model outputs into actionable decision-support tools. Currently I design and deploy ML solutions in industrial contexts, including carbon-reduction initiatives and cross-site data platforms, while continuously improving model drift handling, evaluation rigor, and documentation for traceability.…I'm Sudhanva Sridhar Bhat, an AI/ML Full Stack Engineer with 4+ years of experience designing, validating, testing and deploying ML and LLM-powered applications. I focus on building robust, scalable data workflows and transformer-based models, and I enjoy delivering end-to-end pipelines that drive real-world impact. I pursue reproducibility and measurable operational improvements in production settings and collaborate closely with cross-functional teams to translate model outputs into actionable decision-support tools. Currently I design and deploy ML solutions in industrial contexts, including carbon-reduction initiatives and cross-site data platforms, while continuously improving model drift handling, evaluation rigor, and documentation for traceability.

Sudhanva Sridhar Bhat

AI Engineer, Data Scientist, Programmer, +7

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I'm Sudhanva Sridhar Bhat, an AI/ML Full Stack Engineer with 4+ years of experience designing, validating, testing and deploying ML and LLM-powered applications. I focus on building robust, scalable data workflows and transformer-based models, and I enjoy delivering end-to-end pipelines that drive real-world impact. I pursue reproducibility and measurable operational improvements in production settings and collaborate closely with cross-functional teams to translate model outputs into actionable decision-support tools. Currently I design and deploy ML solutions in industrial contexts, including carbon-reduction initiatives and cross-site data platforms, while continuously improving model drift handling, evaluation rigor, and documentation for traceability.…I'm Sudhanva Sridhar Bhat, an AI/ML Full Stack Engineer with 4+ years of experience designing, validating, testing and deploying ML and LLM-powered applications. I focus on building robust, scalable data workflows and transformer-based models, and I enjoy delivering end-to-end pipelines that drive real-world impact. I pursue reproducibility and measurable operational improvements in production settings and collaborate closely with cross-functional teams to translate model outputs into actionable decision-support tools. Currently I design and deploy ML solutions in industrial contexts, including carbon-reduction initiatives and cross-site data platforms, while continuously improving model drift handling, evaluation rigor, and documentation for traceability.

Available to hire

I’m Sudhanva Sridhar Bhat, an AI/ML Full Stack Engineer with 4+ years of experience designing, validating, testing and deploying ML and LLM-powered applications. I focus on building robust, scalable data workflows and transformer-based models, and I enjoy delivering end-to-end pipelines that drive real-world impact. I pursue reproducibility and measurable operational improvements in production settings and collaborate closely with cross-functional teams to translate model outputs into actionable decision-support tools.

Currently I design and deploy ML solutions in industrial contexts, including carbon-reduction initiatives and cross-site data platforms, while continuously improving model drift handling, evaluation rigor, and documentation for traceability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

German

Fluent

Work Experience

Studentische Hilfskraft im Bereich Machine Learning at Technische Universität Darmstadt

August 31, 2023 - October 16, 2025

Automatisierte Skripte in Python und TCL für interne Tools entwickelt; Prozesseffizienz um 80% gesteigert.

Associate for Applications Development at Ribbon Communications

October 1, 2022 - Present

GenAI, LLMs, NLP, KI/ML, Data Analytics, Deep Learning, Data Sciences und Reinforcement Learning; Training und Weiterentwicklung von Softwarelösungen.

Studentische Hilfskraft im Bereich Machine Learning at Technische Universität Darmstadt

September 1, 2022 - October 16, 2025

Automatisierung von Skripten in Python und TCL; Entwicklung interner Tools; drei Proof-of-Concept-Projekte; enge Abstimmung mit Kundenanforderungen; PV-Tests für zwei Releases; verbesserte Markteinführung um ca. 10% durch termingerechte Umsetzung.

Werkstudent / Praktikant im Bereich Machine Learning at Technische Universität Darmstadt

August 1, 2023 - October 16, 2025

Unterstützung im Bereich Machine Learning; Automatisierungs- und Prototyping-Aufgaben; Mitwirkung an ML-Pipelines; enge Zusammenarbeit mit Fachexperten; Beitrag zur Produktvalidierung.

Machine Learning and AI Engineer at Heidelberg Materials AG

July 1, 2024 - Present

Designed and implemented scalable end-to-end ML pipelines processing heterogeneous industrial datasets from multiple production sites, standardizing non-uniform schemas into a unified modeling workflow. Built and benchmarked supervised learning models (XGBoost, Random Forest, ANN, LSTM, CNN, Transformer-based architectures) to predict cement strength, workability, and cost per ton for low-carbon cement production. Developed a virtual lab web application (Python and R backend, Flask and REST APIs) enabling real-time inference and reducing 28-day lab validation cycles by 90%. Engineered robust time-series feature extraction pipelines and drift detection to monitor model stability under changing operational conditions. Designed full system architecture independently, including data preprocessing, model training, evaluation workflows, and deployment on a virtual server (AWS-ready architecture). Integrated experiment tracking (MLflow) and GPU-based training optimization to improve reproduci

Research Assistant at Technical University of Darmstadt

June 1, 2023 - August 1, 2023

Reproduced and validated ML models using structured evaluation pipelines (KNN, regression-based methods), ensuring reproducibility and statistical rigor. Built anomaly detection workflows identifying abnormal network traffic patterns and deviations, improving detection accuracy beyond baseline implementations. Designed experimentation pipelines incorporating hypothesis testing, error analysis, and performance benchmarking. Conducted robustness analysis under distribution shifts to evaluate model generalization in real-world conditions.

Technical Analyst - Verification Engineering at Ribbon Communications

May 1, 2021 - September 1, 2022

Automated 100+ regression and hardware validation test cases using Python, reducing manual verification effort by 45% and accelerating release cycles. Developed scalable automation frameworks validating router hardware behavior across physical and data-link layers in distributed testing environments. Reduced test execution time by 30% through parallelization and workflow optimization. Took ownership of automation for a newly introduced communication protocol, building validation coverage from scratch.

Associate - Application Development at Accenture

November 1, 2020 - April 1, 2021

Completed structured enterprise training in Python, Java, SQL, and SAP ABAP. Built foundational understanding of relational databases and enterprise system architectures.