Domain expertise:
- Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience.
- Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.
Résumé/CV: available upon request
Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.
I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.
Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).
Domain expertise:
- Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience.
- Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.
Résumé/CV: available upon request
Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.
I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.
Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).
Domain expertise:
- Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience.
- Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.
Résumé/CV: available upon request
Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.
I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.
Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).
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, audio processing, 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; 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; 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; 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; 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; 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.
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), PyO3 Databases/infra: Postgres, ClickHouse, Qdrant, Redis, Kafka, Docker, Kubernetes (k8s) ML and systems: vLLM, TensorRT, Ray, edge ML inference, gRPC/Protobuf, systems profiling (perf, flamegraphs, Valgrind) Rust focus: Async services (Tokio, Axum/Actix), data/compute (Polars/Arrow), database proxies, performance-critical pipelines.
Domain expertise: - Academic: PhD in mathematics (topological data analysis, representation theory), MSc finance, MSc neuroscience. - Applied: database proxies/networking, quant dev and backtesting engines, ML/DL for banking & finance (risk/fraud), LLMs and agentic frameworks (tools, planning, eval), image processing, audio processing.
Résumé/CV: available upon request
Systems-oriented ML/LLM engineer specializing in Python/PyTorch and Rust for low-latency, high-throughput services. I have 8+ years of professional experience with Python and machine learning, and 5 years of production experience in Rust.
I thrive at the intersection of complex math and low-level systems. I've worked across multiple heavy domains, with deep experience building high-performance database proxies, modeling financial risk and architecting LLM agentic workflows, alongside applied work in audio and image processing. Actively exploring remote or relocation opportunities where I can apply my deep mathematical background and backend developer skills to hard engineering challenges.
Open to full-time roles or freelance/contract work (able to invoice B2B via my own company).
Email: hn [at-symbol] vixe.re