Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I'm Namit Bhalendra Kharade, an AI Engineer and Data Scientist based in Berlin. I build and deploy scalable AI solutions across cloud platforms, with hands-on experience in LLMs, Retrieval-Augmented Generation, and knowledge-graph guided information retrieval and reasoning. I design end-to-end data pipelines, ETL workflows, and data models for large-scale structured and unstructured datasets, and I enjoy translating research into production-ready systems. I've deployed models on GPU infrastructure, contributed to applied research in generative AI and multi-hop QA, and I excel at bridging research with industry needs by delivering production-ready, cloud-deployed AI systems.…I'm Namit Bhalendra Kharade, an AI Engineer and Data Scientist based in Berlin. I build and deploy scalable AI solutions across cloud platforms, with hands-on experience in LLMs, Retrieval-Augmented Generation, and knowledge-graph guided information retrieval and reasoning. I design end-to-end data pipelines, ETL workflows, and data models for large-scale structured and unstructured datasets, and I enjoy translating research into production-ready systems. I've deployed models on GPU infrastructure, contributed to applied research in generative AI and multi-hop QA, and I excel at bridging research with industry needs by delivering production-ready, cloud-deployed AI systems.

Namit Bhalendra Kharade

AI Engineer, Data Scientist, Web Developer, +1





I'm Namit Bhalendra Kharade, an AI Engineer and Data Scientist based in Berlin. I build and deploy scalable AI solutions across cloud platforms, with hands-on experience in LLMs, Retrieval-Augmented Generation, and knowledge-graph guided information retrieval and reasoning. I design end-to-end data pipelines, ETL workflows, and data models for large-scale structured and unstructured datasets, and I enjoy translating research into production-ready systems. I've deployed models on GPU infrastructure, contributed to applied research in generative AI and multi-hop QA, and I excel at bridging research with industry needs by delivering production-ready, cloud-deployed AI systems.…I'm Namit Bhalendra Kharade, an AI Engineer and Data Scientist based in Berlin. I build and deploy scalable AI solutions across cloud platforms, with hands-on experience in LLMs, Retrieval-Augmented Generation, and knowledge-graph guided information retrieval and reasoning. I design end-to-end data pipelines, ETL workflows, and data models for large-scale structured and unstructured datasets, and I enjoy translating research into production-ready systems. I've deployed models on GPU infrastructure, contributed to applied research in generative AI and multi-hop QA, and I excel at bridging research with industry needs by delivering production-ready, cloud-deployed AI systems.

Available to hire

I’m Namit Bhalendra Kharade, an AI Engineer and Data Scientist based in Berlin. I build and deploy scalable AI solutions across cloud platforms, with hands-on experience in LLMs, Retrieval-Augmented Generation, and knowledge-graph guided information retrieval and reasoning. I design end-to-end data pipelines, ETL workflows, and data models for large-scale structured and unstructured datasets, and I enjoy translating research into production-ready systems.

I’ve deployed models on GPU infrastructure, contributed to applied research in generative AI and multi-hop QA, and I excel at bridging research with industry needs by delivering production-ready, cloud-deployed AI systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

German

Beginner

Work Experience

AI Engineer (part-time) at AIME GmbH

November 1, 2024 - Present

Conducted benchmarking for various AI models on AIME’s servers, improving computational efficiency. Implemented demonstrations of AI models (e.g., Whisper, Llama Chat, Stable Diffusion) to showcase AIME’s cloud capabilities. Documented findings and performance metrics to support knowledge sharing. Currently pursuing Master’s Thesis: GraphRAG for Multi-Hop QA with LLMs, integrating knowledge graphs with Retrieval-Augmented Generation on AIME’s Compute-as-a-Service infrastructure. Built and evaluated a demonstrator system for MHQA tasks, comparing GraphRAG, RAG, and in-context LLM methods. Deployed solutions on distributed GPU infrastructure, optimizing scalability, performance, and real-world applicability.

AI Engineer (part-time) at AIME GmbH

November 1, 2024 - Present

Responsible for benchmarking AI models on AIME's compute infrastructure to improve efficiency; built demonstrations of Whisper, Llama Chat, and Stable Diffusion to showcase cloud capabilities; documented findings and performance metrics for knowledge sharing. Leading Master’s Thesis: GraphRAG for Multi-Hop QA with LLMs — integrating knowledge graphs with Retrieval-Augmented Generation on AIME's Compute-as-a-Service infrastructure. Built and evaluated a demonstrator system for multi-hop QA tasks, comparing GraphRAG, RAG, and in-context LLM methods. Deployed solutions on distributed GPU infrastructure to optimize scalability and real-world enterprise applicability.

AI Engineer at AIME GmbH

November 1, 2024 - Present

Benchmarking AI models on AIME’s servers, demonstrating cloud capabilities with models like Whisper, Llama Chat, and Stable Diffusion. Documented findings and performance metrics. Working on Master’s Thesis: GraphRAG for Multi-Hop QA with LLMs—integrating knowledge graphs with Retrieval-Augmented Generation on AIME’s Compute-as-a-Service infrastructure. Built and evaluated a demonstrator system for multi-hop QA tasks, comparing GraphRAG, RAG, and in-context LLM methods. Deployed solutions on AIME’s distributed GPU infrastructure, optimizing scalability and real-world enterprise applicability.

Data Engineer at ai-coustics GmbH

August 31, 2024 - October 12, 2025

Developed and maintained Python scripts to sort and archive audio files into a cloud-based database system on Google Cloud Platform (GCP), achieving a 50% reduction in file processing time. Designed, built, and managed robust data pipelines using Apache Airflow, ensuring efficient ETL processes for data collection, transformation, and loading into BigQuery. Implemented automatic labeling plugins (YamNet, DNSMOS) for efficient categorization and tagging of audio files. Ensured data accuracy, consistency, and integrity by implementing rigorous data quality checks and cleaning processes.

Data Engineer at ai-coustics GmbH

August 1, 2024 - October 12, 2025

Developed and maintained Python scripts to sort and archive audio files into a cloud-based database on GCP, achieving a 50% reduction in file processing time. Designed and managed robust data pipeline using Apache Airflow for ETL into BigQuery. Implemented automatic labeling plugins (YAMNet, DNSMOS) for efficient categorization and tagging of audio files. Ensured data accuracy and integrity via rigorous data quality checks and cleaning.

Data Engineer at ai-coustics GmbH

August 1, 2024 - October 12, 2025

Developed Python scripts to sort and archive audio files into a cloud-based database system on Google Cloud Platform (GCP), achieving a 50% reduction in file processing time. Designed, built, and managed a robust data pipeline using Apache Airflow for ETL processes into BigQuery. Implemented automatic labeling plugins (YamNet, DNSMOS) for efficient categorization and tagging of audio files. Ensured data accuracy and integrity with rigorous data quality checks and cleaning processes.

Software Engineer at aiio GmbH

January 31, 2024 - October 12, 2025

Diagnosed and resolved bugs in a React and Django-based web application, enhancing functionality and improving the overall user experience. Integrated Large Language Models (LLMs) such as OpenAI’s GPT-3.5 and GPT-4 models, applying AI to improve user productivity and ease of use. Developed and executed comprehensive unit tests and conducted rigorous system testing to ensure high software quality. Supported the development, configuration, and documentation of the Project Management application, contributing to increased project efficiency and collaboration.

Software Engineer at aiio GmbH

January 31, 2024 - October 12, 2025

Diagnosed and resolved bugs in a React- and Django-based web application, enhancing functionality and user experience. Integrated Large Language Models (GPT-3.5 and GPT-4) to improve productivity. Developed and executed unit tests and conducted system testing to ensure software quality. Supported development, configuration, and documentation of the Project Management application, contributing to increased efficiency and collaboration.

Software Engineer at aiio GmbH

January 31, 2024 - October 12, 2025

Diagnosed and resolved bugs in a React- and Django-based web application, enhancing functionality and user experience. Integrated Large Language Models (LLMs) such as OpenAI’s GPT-3.5 and GPT-4 to improve productivity. Developed comprehensive unit tests and system tests to ensure software quality. Supported development, configuration, and documentation of the Project Management application.

Associate Software Engineer at Accenture Solutions

August 31, 2022 - October 12, 2025

Collaborated with cross-functional teams to create and train machine learning programs that enhanced customer service for British Telecom. Analyzed and prepared data using Python and SQL, transforming raw datasets into high-quality inputs for AI model training. Implemented CI/CD practices, utilizing tools such as Jenkins to automate and enhance the development pipeline. Actively participated in code reviews, improving code quality and ensuring adherence to best practices.

Associate Software Engineer at Accenture Solutions Pune

August 31, 2022 - October 12, 2025

Collaborated with cross-functional teams to create and train machine learning programs that enhanced customer service for British Telecom. Analyzed and prepared data using Python and SQL, transforming raw datasets into high-quality inputs for AI model training. Implemented CI/CD practices using Jenkins to automate and improve the development pipeline. Actively participated in code reviews to improve code quality.

Associate Software Engineer at Accenture Solutions

August 1, 2022 - October 12, 2025

Collaborated with cross-functional teams to create and train machine learning programs that enhanced customer service for British Telecom. Analyzed and prepared data using Python and SQL to transform raw datasets into high-quality inputs for AI model training. Implemented CI/CD practices using Jenkins to automate and enhance the development pipeline. Actively participated in code reviews, improving code quality and adherence to best practices.

ML Engineer Intern at AI Adventures

May 31, 2021 - October 12, 2025

Developed a chatbot using DialogFlow that provided one-stop updates on COVID-19, showcasing hands-on AI-driven customer service solutions. Conducted data preprocessing, cleaning, and augmentation to improve training data quality and quantity, contributing to more robust AI models. Collaborated closely with the team in the construction and upkeep of Machine Learning models, gaining valuable hands-on experience in model building and maintenance.

ML Engineer Intern at AI Adventures

May 31, 2021 - October 12, 2025

Developed a chatbot using DialogFlow that provided one-stop updates for COVID-19, showcasing hands-on AI-driven customer service solutions. Conducted data preprocessing, cleaning, and augmentation to improve training data quality and quantity. Collaborated closely with the team in the construction and upkeep of machine learning models.

ML Engineer Intern at AI Adventures

May 1, 2021 - October 12, 2025

Developed a DialogFlow chatbot that provided COVID-19 updates, showcasing hands-on AI-driven customer service solutions. Conducted data preprocessing, cleaning, and augmentation to improve training data quality and quantity. Collaborated on building and maintaining Machine Learning models.