Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory); master's theses in finance and neuroscience; applications of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction; LLMs and agentic frameworks (tools, planning, evaluation)
Rust focus: async services (Tokio, Axum/Actix), data/compute (Polars/Arrow); production systems and performance-critical pipelines
Résumé/CV: available on request
Systems-oriented ML/LLM engineer using Python/PyTorch and Rust for low-latency/high throughput services. I've worked across domains (banking/finance, domain-specific image analysis, neuroscience, low-level database optimizations). 8+ years professionally with Python and machine learning, and with Rust. Actively exploring remote opportunities where I can apply my combination of math and developer skills to interesting challenges.
Open to freelance/contract work (I can invoice via my own company) or full-time. Open to US work.
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction, LLMs, agentic frameworks
Résumé/CV: available on request
Expertise in data science and development of ML/DL models (AI) across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Several years experience working with LLMs (deployment, fine-tuning), model embeddings and recently agentic frameworks
Open to freelance/contract work. I have my own company for billing. Open for US work.
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models (AI) across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Several years experience working with LLMs (deployment, fine-tuning) and model embeddings
Open to freelance/contract work. I have my own company for billing. Open for US work.
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models (AI) across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Several years experience working with LLMs (deployment, fine-tuning) and model embeddings
Open to freelance/contract work. I have my own company for billing. Open for US work.
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Open to freelance/contract work. I have my own company for billing. Open for US work.
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Open to freelance/contract work. I have my own company for billing. Open for US work.
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning
I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Open to freelance/contract work. I have my own company for billing. Open for US work.
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning
I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Remote: Yes, preferred. Flexible with EU and US time zones.
Willing to relocate: Maybe Technologies: machine learning, deep learning, Python, PyTorch, NumPy/Pandas, flask, SQL, Docker, Rust
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning
I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Remote: Yes, preferred. Flexible with EU and US time zones.
Willing to relocate: Maybe Technologies: machine learning, deep learning, Python, PyTorch, NumPy/Pandas, flask, SQL, Docker, Rust
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory), master's theses in finance and neuroscience, application of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction
Résumé/CV: available on request
Expertise in data science and development of ML/DL models across domains (in banking/finance, for domain-specific image analysis and for neuroscience); 6+ years professionally working with Python and machine learning
I'm actively exploring remote opportunities where I can apply my unique combination of skills coming from a math and developer background
Remote: Yes (EU/US time zones). Willing to relocate: Yes
Technologies: Rust, Python, PyTorch, NumPy/Pandas, Flask, Django, SQL, Docker; machine learning, deep learning
Industries/domain expertise: PhD in mathematics (statistical methods/modeling, topological data analysis, representation theory); master's theses in finance and neuroscience; applications of machine learning/deep learning to banking/finance for risk evaluation and fraud prediction; LLMs and agentic frameworks (tools, planning, evaluation)
Rust focus: async services (Tokio, Axum/Actix), data/compute (Polars/Arrow); production systems and performance-critical pipelines
Résumé/CV: available on request
Systems-oriented ML/LLM engineer using Python/PyTorch and Rust for low-latency/high throughput services. I've worked across domains (banking/finance, domain-specific image analysis, neuroscience, low-level database optimizations). 8+ years professionally with Python and machine learning, and with Rust. Actively exploring remote opportunities where I can apply my combination of math and developer skills to interesting challenges.
Open to freelance/contract work (I can invoice via my own company) or full-time. Open to US work.
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