I'm an AI Engineer based in Dresden, Germany, with hands-on experience in Retrieval-Augmented Generation and advanced NLP solutions. I enjoy turning research into practical, scalable AI systems that perform well in real-world settings. I'm passionate about building end-to-end AI products, from data curation and model tuning to production-ready pipelines. I thrive in collaborative environments and love automating data-to-deployment workflows using LangChain, RLHF, and MLOps practices.

Venkat Kishore Kumar Reddy Vundela

I'm an AI Engineer based in Dresden, Germany, with hands-on experience in Retrieval-Augmented Generation and advanced NLP solutions. I enjoy turning research into practical, scalable AI systems that perform well in real-world settings. I'm passionate about building end-to-end AI products, from data curation and model tuning to production-ready pipelines. I thrive in collaborative environments and love automating data-to-deployment workflows using LangChain, RLHF, and MLOps practices.

Available to hire

I’m an AI Engineer based in Dresden, Germany, with hands-on experience in Retrieval-Augmented Generation and advanced NLP solutions. I enjoy turning research into practical, scalable AI systems that perform well in real-world settings.

I’m passionate about building end-to-end AI products, from data curation and model tuning to production-ready pipelines. I thrive in collaborative environments and love automating data-to-deployment workflows using LangChain, RLHF, and MLOps practices.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Language

English
Advanced
German
Intermediate
Telugu
Fluent

Work Experience

Master Thesis Student at Technical University of Dresden
May 1, 2025 - August 6, 2025
Developed a data formatting tool to transform unstructured sources like PDFs and web content into structured Markdown format for integration into Retrieval-Augmented Generation (RAG) systems. Conducted comprehensive analyses comparing Markdown with HTML and XML for context retrieval in technical content including math and code. Created modular, extensible tools supporting multiple input/output formats (PDF, Word, CSV, URLs) with plug-and-play architecture. Integrated AI-driven preprocessing pipelines for summarization, translation, and Q&A generation, minimizing manual intervention and enhancing document quality. Led usability and performance evaluations on large datasets ensuring high-quality, consistent Markdown output suitable for chatbot knowledge bases. Authored detailed technical documentation and scientific thesis articulating system design, implementation challenges, and key findings.
Research Project Developer at Technical University of Dresden
August 1, 2024 - August 6, 2025
Led a research project enhancing the LLaMA-2 large language model (LLM) for domain-specific question answering, demonstrating superior performance over traditional models. Developed and utilized a custom dataset of domain-specific questions and answers derived from authoritative textbooks for direct model fine-tuning. Implemented advanced fine-tuning strategies to optimize the LLM's neural network for better adaptation to specific informational needs and complexities. Conducted comprehensive performance evaluations, comparing the fine-tuned model against the base model with Retrieval-Augmented Generation (RAG), achieving significant improvements in response accuracy and relevancy, including higher precision, recall, F1 scores, and exact match ratios. Showcased the potential of fine-tuning in transforming LLM applications across various industries through precise, context-aware information processing.
Project Developer - Self Driving Car at Education Sector
November 1, 2023 - August 6, 2025
Engineered an autonomous car model using Python, leveraging deep learning, computer vision, and machine learning techniques. Gained proficiency in libraries like NumPy, OpenCV, Keras, and TensorFlow focusing on deep and convolutional neural networks. Implemented preprocessing and the LeNet architecture for road symbol classification using a dataset collected via the Udacity car simulator. Applied behavioral cloning with the Nvidia model to enable autonomous driving by adopting driver behavior.
Student Assistant at Technische Universität Dresden
November 1, 2023 - October 16, 2025
Fast Video Segmentation using Strokes: supported experiments and data labeling, implemented workflow enabling improved real-time semantic segmentation.
Research Project / Research Assistant at ScaD S.A.I., Dresden, Germany
August 31, 2024 - October 16, 2025
Development of an RLHF-based Learning Coach Using Langchain; contributed to data processing, model integration, and evaluation within a multi-NLP pipeline.

Education

Master of Science (M.Sc.) at Technical University of Dresden
October 1, 2019 - May 1, 2025
Bachelor of Technology at Madanapalli Institute of Technology and Science
September 1, 2014 - May 1, 2018
B.Tech in Mechanical Engineering at Madanapalli Institute of Technology and Science, Andhra Pradesh, India
September 1, 2014 - May 1, 2018
MSc in Computational Modelling and Simulation at Technische Universität Dresden, Dresden, Germany
October 1, 2019 - July 1, 2025
Masters Thesis: Development of a Data Formatting Tool for Chatbot Knowledge Bases at Technische Universität Dresden, Dresden, Germany
November 1, 2024 - July 1, 2025

Qualifications

Python Bootcamp (Udemy)
January 11, 2030 - August 6, 2025
Data Science Course (Ineron)
January 11, 2030 - August 6, 2025
Generative AI Course (Udemy)
January 11, 2030 - August 6, 2025
MLOps Bootcamp (Udemy)
January 11, 2030 - August 6, 2025
Microsoft Azure ML Ops Bootcamp
January 11, 2030 - October 16, 2025
Generative AI Course
January 11, 2030 - October 16, 2025
Data Science Course
January 11, 2030 - October 16, 2025
Python Bootcamp
January 11, 2030 - October 16, 2025

Industry Experience

Education, Software & Internet, Transportation & Logistics, Professional Services, Media & Entertainment, Other