torsi0n
Joined 3 years ago
Karma
13
Submissions
51
Member since
May 4
Recent submissions
Comment · 3 days ago
Comment · 1 month ago
SEEKING WORK | Oslo, Norway (CET) | Remote (EU/US time zones)
ML/LLM and systems engineer working in Python/PyTorch and Rust. 8+ years of professional experience with Python and machine learning; 5 years of production Rust. PhD in math, MSc financial economics, MSc neuroscience
Available for freelance work on:
- performance: profiling Python services, identifying bottlenecks and moving performance-critical code into Rust w/ PyO3
- LLM systems: agentic workflows with tools, planning and evaluation; inference serving w/ vLLM and TensorRT; edge inference
- Backend and data systems/data engineering: async Rust services, databases and high-throughput data pipelines.
- Quant and finance: backtesting engines, financial risk and fraud modeling
- Image and audio: applied ML, including generative models
Recent Rust projects:
- Leone: LLM inference engine written from scratch with my own CUDA/Metal kernels and a OpenAI-style server (https://github.com/t0rsion/leone)
- Holos: persistent homology/topological data analysis library with SOTA speed (https://github.com/t0rsion/holos)
B2B invoicing through my own company
Stack: Rust (Tokio, Axum/Actix, PyO3, Polars/Arrow), Python (PyTorch, NumPy/Pandas, Django/Flask), vLLM, TensorRT, Ray, Postgres, ClickHouse, Qdrant, Redis, Kafka, Docker, Kubernetes (k8s), gRPC, CUDA and Metal kernels.
Email: hn (the-at-symbol) vixe (dot) re
Comment · 1 month ago
Location: Oslo, Norway (CET)
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
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