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Hi, I'm Rhivu Pratik Mitra, currently pursuing my Master's degree in Information and Communication Engineering at Technical University Darmstadt. I specialize in Data Science, Machine Learning, and AI architectures, and I am passionate about leveraging large language models and reinforcement learning to solve complex problems. I enjoy working on innovative projects, including developing AI methods for predicting protein synthesis and integrating Azure OpenAI services into software solutions. With experience in software development as a Werkstudent at Schenck RoTec GmbH, I have deployed machine learning models and developed software automation scripts. I am comfortable working with Python, C#, and various ML frameworks, and I thrive in agile, cross-functional teams. I am excited about continuing my journey in AI and software development and contributing to advancements in the field.…Hi, I'm Rhivu Pratik Mitra, currently pursuing my Master's degree in Information and Communication Engineering at Technical University Darmstadt. I specialize in Data Science, Machine Learning, and AI architectures, and I am passionate about leveraging large language models and reinforcement learning to solve complex problems. I enjoy working on innovative projects, including developing AI methods for predicting protein synthesis and integrating Azure OpenAI services into software solutions. With experience in software development as a Werkstudent at Schenck RoTec GmbH, I have deployed machine learning models and developed software automation scripts. I am comfortable working with Python, C#, and various ML frameworks, and I thrive in agile, cross-functional teams. I am excited about continuing my journey in AI and software development and contributing to advancements in the field.

Rhivu Pratik Mitra

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Hi, I'm Rhivu Pratik Mitra, currently pursuing my Master's degree in Information and Communication Engineering at Technical University Darmstadt. I specialize in Data Science, Machine Learning, and AI architectures, and I am passionate about leveraging large language models and reinforcement learning to solve complex problems. I enjoy working on innovative projects, including developing AI methods for predicting protein synthesis and integrating Azure OpenAI services into software solutions. With experience in software development as a Werkstudent at Schenck RoTec GmbH, I have deployed machine learning models and developed software automation scripts. I am comfortable working with Python, C#, and various ML frameworks, and I thrive in agile, cross-functional teams. I am excited about continuing my journey in AI and software development and contributing to advancements in the field.…Hi, I'm Rhivu Pratik Mitra, currently pursuing my Master's degree in Information and Communication Engineering at Technical University Darmstadt. I specialize in Data Science, Machine Learning, and AI architectures, and I am passionate about leveraging large language models and reinforcement learning to solve complex problems. I enjoy working on innovative projects, including developing AI methods for predicting protein synthesis and integrating Azure OpenAI services into software solutions. With experience in software development as a Werkstudent at Schenck RoTec GmbH, I have deployed machine learning models and developed software automation scripts. I am comfortable working with Python, C#, and various ML frameworks, and I thrive in agile, cross-functional teams. I am excited about continuing my journey in AI and software development and contributing to advancements in the field.

Available to hire

Hi, I’m Rhivu Pratik Mitra, currently pursuing my Master’s degree in Information and Communication Engineering at Technical University Darmstadt. I specialize in Data Science, Machine Learning, and AI architectures, and I am passionate about leveraging large language models and reinforcement learning to solve complex problems. I enjoy working on innovative projects, including developing AI methods for predicting protein synthesis and integrating Azure OpenAI services into software solutions.

With experience in software development as a Werkstudent at Schenck RoTec GmbH, I have deployed machine learning models and developed software automation scripts. I am comfortable working with Python, C#, and various ML frameworks, and I thrive in agile, cross-functional teams. I am excited about continuing my journey in AI and software development and contributing to advancements in the field.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Intermediate

Hindi

Fluent

Work Experience

Software Development Werkstudent at Schenck RoTec Gmbh

July 1, 2022 - Present

Delivered machine learning models with 90% accuracy using Python libraries, integrated with C# backend, validated by comprehensive unit/end-to-end testing, and deployed as a service. Developed a prototype AI chatbot integrating Azure OpenAI services with Confluence, researching LLMs and implementing tokenization, data embedding, and RAG architecture. Developed and optimized Batch and PowerShell scripts for software installer automation, maintained CI/CD pipelines with TeamCity, and implemented MVVM pattern in WPF .NET.

Master Thesis at Technical University Darmstadt

February 28, 2025 - Present

This Master thesis aims to apply deep learning, specifically the Striped Hyena architecture, to the problem of codon optimisation in order to efficiently synthesise heterologous (i.e. not native to the producing organism) proteins. StripedHyena is a deep signal processing, hybrid architecture composed of rotary (grouped) atten- tion and gated convolutions arranged in Hyena blocks, with improved scaling over decoder-only Transformers. StripedHyena is designed to leverage the specialization of each of its layer classes, with Hyena layers implementing the bulk of the computation required for sequence processing and attention layers supplementing the ability to perform targeted pattern recall. Codon optimisation is the process of adapting the nucleotide sequence of the protein to the codon usage bias, which codon the organism uses more often to encode an amino acid, of the host organism. In codon optimization, Striped Hyena can be used to select synonymous codons that enhance protein expression in target organisms. Its adaptability and balance of search strategies make it well-suited for optimizing factors like codon usage bias, GC content, and mRNA structure, offering a robust method for tackling the combinatorial nature of this problem.

Software Development Werkstudent at Schenck RoTec Gmbh

July 1, 2022 - Present

Delivered machine learning models using popular Python libraries with 90% accuracy and integrated them seamlessly into a C# backend. Developed an AI chatbot prototype integrating Azure OpenAI services with Confluence, implementing tokenization, data embedding, and following RAG architecture. Developed and optimized Batch and PowerShell scripts for software installer automation and maintained CI/CD pipelines using TeamCity. Applied MVVM pattern in WPF .NET applications.