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I am an MLOps Engineer with 4 years of experience in machine learning and MLOps, specializing in deploying scalable, production-grade AI solutions. I have a strong background in ML/DL, programming, cloud technologies, and LLMOps, with a passion for creating impactful ML systems to solve real-world problems. My work has involved building and optimizing ETL and CI/CD pipelines, integrating advanced machine learning tools, and improving system reliability through monitoring and automation. With a master’s degree in Computer Science focused on Intelligent Systems, I have collaborated with leading organizations such as Mirconvova AG, Tata Consultancy Services, Robert Bosch GmbH, DFKI, and Fraunhofer Institute, delivering innovative AI and GenAI solutions across automotive, banking, manufacturing, and wearable tech sectors. I continuously enhance my skills through certifications and research, owning patents and published papers in the field.…I am an MLOps Engineer with 4 years of experience in machine learning and MLOps, specializing in deploying scalable, production-grade AI solutions. I have a strong background in ML/DL, programming, cloud technologies, and LLMOps, with a passion for creating impactful ML systems to solve real-world problems. My work has involved building and optimizing ETL and CI/CD pipelines, integrating advanced machine learning tools, and improving system reliability through monitoring and automation. With a master’s degree in Computer Science focused on Intelligent Systems, I have collaborated with leading organizations such as Mirconvova AG, Tata Consultancy Services, Robert Bosch GmbH, DFKI, and Fraunhofer Institute, delivering innovative AI and GenAI solutions across automotive, banking, manufacturing, and wearable tech sectors. I continuously enhance my skills through certifications and research, owning patents and published papers in the field.

Dhruv Aditya Mittal

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I am an MLOps Engineer with 4 years of experience in machine learning and MLOps, specializing in deploying scalable, production-grade AI solutions. I have a strong background in ML/DL, programming, cloud technologies, and LLMOps, with a passion for creating impactful ML systems to solve real-world problems. My work has involved building and optimizing ETL and CI/CD pipelines, integrating advanced machine learning tools, and improving system reliability through monitoring and automation. With a master’s degree in Computer Science focused on Intelligent Systems, I have collaborated with leading organizations such as Mirconvova AG, Tata Consultancy Services, Robert Bosch GmbH, DFKI, and Fraunhofer Institute, delivering innovative AI and GenAI solutions across automotive, banking, manufacturing, and wearable tech sectors. I continuously enhance my skills through certifications and research, owning patents and published papers in the field.…I am an MLOps Engineer with 4 years of experience in machine learning and MLOps, specializing in deploying scalable, production-grade AI solutions. I have a strong background in ML/DL, programming, cloud technologies, and LLMOps, with a passion for creating impactful ML systems to solve real-world problems. My work has involved building and optimizing ETL and CI/CD pipelines, integrating advanced machine learning tools, and improving system reliability through monitoring and automation. With a master’s degree in Computer Science focused on Intelligent Systems, I have collaborated with leading organizations such as Mirconvova AG, Tata Consultancy Services, Robert Bosch GmbH, DFKI, and Fraunhofer Institute, delivering innovative AI and GenAI solutions across automotive, banking, manufacturing, and wearable tech sectors. I continuously enhance my skills through certifications and research, owning patents and published papers in the field.

Available to hire

I am an MLOps Engineer with 4 years of experience in machine learning and MLOps, specializing in deploying scalable, production-grade AI solutions. I have a strong background in ML/DL, programming, cloud technologies, and LLMOps, with a passion for creating impactful ML systems to solve real-world problems. My work has involved building and optimizing ETL and CI/CD pipelines, integrating advanced machine learning tools, and improving system reliability through monitoring and automation.

With a master’s degree in Computer Science focused on Intelligent Systems, I have collaborated with leading organizations such as Mirconvova AG, Tata Consultancy Services, Robert Bosch GmbH, DFKI, and Fraunhofer Institute, delivering innovative AI and GenAI solutions across automotive, banking, manufacturing, and wearable tech sectors. I continuously enhance my skills through certifications and research, owning patents and published papers in the field.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

German

Intermediate

Hindi

Fluent

Work Experience

Machine Learning Specialist (MLOps) at Mirconvova AG

May 1, 2025 - Present

Deployed ETL pipelines processing over 10GB of automobile data using Airflow DAG, DVC, and Databricks to ensure reproducibility and scalability. Developed CI/CD integrated testing pipelines that increased unit and integration test coverage to 95%, significantly reducing production defects. Implemented integration between MLflow and W&B with over 10 parameters to streamline experiment tracking and model registry within ML pipelines. Monitored performance metrics of 5+ APIs using Prometheus and Grafana, enabling real-time alerts and quicker incident resolution.

LLM / GenAI Engineer for Electronics in Automated Driving at Robert Bosch GmbH

April 30, 2025 - August 26, 2025

Developed a multi-agent chatbot utilizing LLM chains and Retrieval-Augmented Generation (RAGs) to improve answer accuracy for automobile hardware codes by 30%. Created CI/CD pipelines integrated with Databricks Model Registry for automated model versioning, deployment, and monitoring of large language models. Optimized LLMs through prompt engineering, reducing hallucinations by 25% and increasing success rates by 30%.

AI Engineer at German Research Center for Artificial Intelligence (DFKI)

December 31, 2024 - August 26, 2025

Designed continual learning pipelines for wearable sensor data that reduced manual resource consumption by 40%. Innovated an attention-based transformer predictive system for the steel chamber industry, delivering cost savings of 30%. Assembled multimodal models combining attention transformers, CNNs, and LSTMs to predict battery Remaining Useful Life (RUL), halving model size and decreasing error by 76%.

Deep Learning Engineer at Fraunhofer Institute for Experimental Software Engineering

March 31, 2023 - August 26, 2025

Built LangChain automation tools for proofreading, summarization, and query handling that improved consulting efficiency by 25%. Optimized AI-based LLM and RAG workflows achieving 95% routing accuracy and reducing processing times by 50%.

Machine Learning Developer at Tata Consultancy Services

March 31, 2022 - August 26, 2025

Built and deployed automated ETL pipelines for AI-driven recommendations in the banking sector, increasing acceptance rates by 25%. Executed ML and CI/CD workflows for optical character recognition using ResNet18 and large language models, reducing manual processing time by 70%.

Machine Learning Specialist (MLOps) at Mirconvova AG

May 1, 2025 - Present

Deployed ETL pipelines for large automobile datasets using Airflow DAG, DVC, and Databricks to enable reproducibility and scalability. Developed CI/CD testing pipelines boosting unit and integration test coverage to 95%, reducing production defects. Integrated MLflow with W&B for enhanced experiment tracking and model registry. Monitored API performance with Prometheus and Grafana, improving incident response time through real-time alerts.

Machine Learning Developer at Tata Consultancy Services

March 1, 2022 - August 26, 2025

Built and deployed automated ETL pipelines for AI-driven recommendations in the banking sector, improving acceptance rates by 25%. Executed ML and CI/CD workflows for optical character recognition using ResNet18 and LLMs, reducing manual processing time by 70%.

LLM / GenAI Engineer for Electronics in Automated Driving at Robert Bosch GmbH

April 30, 2025 - August 26, 2025

Developed a multi-agent chatbot using LLM chains and retrieval augmented generation for automobile hardware codes, increasing answer accuracy by 30%. Created CI/CD pipelines integrating Databricks Model Registry for automated model versioning, deployment, and LLM monitoring. Optimized LLM performance via prompt engineering, reducing hallucinations by 25% and improving success rates by 30%.

AI Engineer at German Research Center for Artificial Intelligence (DFKI)

December 1, 2024 - August 26, 2025

Designed continual learning pipelines for wearable sensor data, reducing manual resource consumption by 40%. Developed attention-based transformer predictive systems for steel chamber industry, yielding 30% cost savings. Created multimodal attention transformers combined with CNNs and LSTMs to predict battery remaining useful life, reducing model size by 50% and error by 76%.

Deep Learning Engineer at Fraunhofer Institute for Experimental Software Engineering

March 1, 2023 - August 26, 2025

Built LangChain-based automation tools for proofreading, summarization, and query handling, increasing consulting efficiency by 25%. Optimized AI workflows with LLM and retrieval augmented generation, achieving 95% routing accuracy and cutting processing time by 50%.