Martin R.
Senior AI Consultant and Research Scientist
Experience
May 2025 - Present
4 monthsUnited States
Senior LLM Research Scientist
BYO Inc.
- Research and develop models for chatbots, NLP and LLMs (e.g. Llama, Qwen, OpenAI)
- Enhance chatbots with RAG, in-context learning
- Supervise fine-tuning (PEFT, LoRA) using Huggingface or Unsloth
- Apply advanced training methods: test-time training, transductive active learning
- Implement high-throughput serving with vLLM
- Apply embedding models (e.g. SentenceTransformers), similarity/vector search, vector databases or ranking (e.g. LlamaIndex, Faiss, LangChain)
- Generate and filter synthetic data and perform clustering
- Detect hallucinations
- Evaluate chatbot models using Rouge, BLEU, F1-Score, recall, and precision
- Visualize experiments using matplotlib
Jan 2019 - May 2025
6 years 5 monthsAustin, United States
Senior AI Research Scientist
Rev.com
- Research and develop model architectures in speech recognition systems (ASR), large language models (LLM), natural language processing (NLP), speaker diarization and recognition, text formatting, summarization, and chatbots
- Train and fine-tune neural networks and probabilistic models: CTC, Transducer, HMM, Segmental CRF, Conformer, Transformer, CNNs, RNNs
- Train on multi-GPU nodes with large-scale datasets
- Optimize models for accuracy, size (quantization, pruning), and speed
- Implement and optimize decoding algorithms
- Prepare data: train tokenizers, perform forced alignment, and develop data cleanup scripts
- Advise on road maps and quarterly planning, write epics and tickets, supervise junior researchers and developers
- Develop open-source ASR model as core member of research team
- Publish first-author scientific paper at Interspeech 2025 for speech recognition and machine learning
Nov 2018 - Feb 2019
4 monthsMunich, Germany
Machine Learning Engineer
e-bot7
- Implement and train chatbots using neural networks and NLP methods
Mar 2017 - May 2018
1 year 3 monthsGraz, Austria
Machine Learning Engineer
iTranslate
- Implement and train speech recognition systems (ASR) for mobile phones
- Train neural networks on multi-GPU systems
Mar 2013 - Apr 2017
4 years 2 monthsGraz, Austria
Research Project Assistant, Computational Neuroscience at Institute for Theoretical Computer Science Lab
Technische Universität Graz
- Analyze Ca imaging recordings of neuronal activity from anesthetized and awake mice
- Classify and visualize trajectories of brain states using PCA, LDA, SVM, Kalman filter/smoother, clustering, regression, and time series forecasting
Mar 2013 - Apr 2017
4 years 2 monthsGraz, Austria
Research Project Assistant, Intelligent Systems at SPSC Lab
Technische Universität Graz
- Research neural networks and probabilistic models for sequences
- Apply machine learning, speech recognition (ASR), and language models (LM)
- Innovate, implement, train, and publish papers on RNNs, CRFs, sum-product networks, new regularization methods and losses, gradient calculation and coding for custom models, and Segmental CRFs
- Supervise Master student projects on machine learning and ASR
Sep 2008 - Dec 2011
3 years 4 monthsAachen, Germany
Research Project Assistant, Human Language Technology and Pattern Recognition
RWTH Aachen University
- Implement and train end-to-end machine translation systems based on CRFs from scratch, including gradients and losses for distributed multi-node CPU grids
- Train phrase-based statistical machine translation systems including language models
- Train and implement log-linear models for text classification, part-of-speech tagging, named entity recognition, and syntactic parsing
- Teach seminar and exercise courses in machine learning and pattern recognition: neural networks, statistical machine translation, speech recognition
Sep 2007 - Aug 2008
1 yearMunich, Germany
Software Engineer
GAF AG
- Implement software for geoinformation systems, back-end server applications, and web map services
Dec 2006 - Feb 2007
3 monthsMunich, Germany
Graduate Research Assistant
Ludwig-Maximilians-Universität München
- Analyze and implement online learning rules in neural networks
Feb 2004 - Aug 2004
7 monthsMunich, Germany
Software Engineer Internship
Max Planck Institute for Physics
- Implement applications to visualize learning processes and self-organization in neural networks (variants of Hebbian learning rule, Hopfield networks, associative memory, vector quantization, clustering, Boltzmann machines) for teaching
- Develop scripts in Fortran, Perl, and C++ to visualize Large Hadron Collider experiments from CERN
Aug 2003 - Oct 2003
3 monthsMunich, Germany
Software Engineer Internship
Siemens
- Implement a network of biologically-inspired spiking neurons
Summary
Specialized in neural networks and probabilistic models for sequences: Speech recognition (ASR), natural language processing (NLP), large language models (LLM) and generative AI, time series forecasting, classical machine learning and statistics, regression, classification, clustering, sequence-to-sequence models, supervised/unsupervised learning, anomaly detection, fraud detection
Solve hard algorithmic problems, develop new architectures, build prototypes
Train and fine-tuning models, optimize for accuracy, speed and size
Integrate and deploy to cloud or on-prem (CPU, GPU, on-device, embedded)
Develop in Python (15y), PyTorch (6.5y), Tensorflow (4y), Java, C++
Research experience in machine learning at university labs and tech companies
Publish scientific papers, talk at conferences and present posters
Supervised seminars and exercises in machine learning, neural networks and statistical methods at university labs
Languages
German
NativeEnglish
AdvancedLatin
AdvancedPolish
AdvancedEducation
Mar 2013 - Apr 2017
Technische Universität Graz
Phd Studies · Machine Learning · Graz, Austria
Sep 2004 - Jan 2005
Queen's University Belfast
Physics and Computer Science · Belfast, United Kingdom
Oct 2000 - Sep 2006
Ludwig-Maximilians Universität München
Diploma Physics · Physics · Munich, Germany
...and 1 more
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