Ask HN: Who wants to be hired? (May 2023)

Remote: Yes

Willing to relocate: No

Technologies: Ruby, JavaScript, TypeScript, Node.js, Go, React, HTML/CSS, PostgreSQL, MongoDB, RESTful APIs, AWS, Docker, Git, Linux.

Portfolio: https://mykolasviningas.github.io

Remote: Much preferred.

Willing to relocate: Prefer not to.

Technologies: Rust, Python, Haskell, Scala, Java, C++, C

Resume/CV: https://drive.google.com/file/d/1aylUYSeGXCF6ZlpJY89LZyfdQQD...

Email: justin.kutlusan@gmail.com

I'm Justin. I have 5 years of industry experience. I have a BSc. in mathematics and MSc. in computer science. My ending project work for my MSc. focussed on high-performance computing, involving C/C++, LLVM and Haskell.

I was most recently working on the automated market making of cryptocurrency options on a number of large options exchanges (Rust). Previous to that, I worked as a backend developer at a bank. I later developed a high-performance data analytics engine in Scala used for the insurance industry, and later worked on software for the optimisation of home energy usage (Haskell).

Having worked in a number of fields, I'm not too hard set on what I work on next, but have a preference to remain in the finance/trading field (crypto, betting or traditional finance). I am open to all interesting suggestions, and I am available to start work straight away.

Remote: Yes

Willing to relocate: no

Technologies: Embedded systems, automotive, machine learning, signal processing, data science, real time computing, safety processes (MISRA, ISO26262, etc), MATLAB, FPGA.

Resume: LinkedIn -- https://www.linkedin.com/in/wcunning

Email: wdocunningham@gmail.com

Background: Masters in control theory and signal processing, working in the auto industry for the last 7 years, first on low level powertrain software then the last year or so on LIDAR/computer vision for autonomous vehicles. I've done the most work in C, but I'm now getting up to speed on python and the computer vision/numpy/data processing pipeline stack there for data quality/perception work, along with Linux desktop application architecting and development for AV utilities. Recently had to read the Linux kernel source and find a subtle issue in the network stack causing high latency on sensor data for AV, also coincidentally fixed most of the network timing infrastructure.

Primary skills include hard real time embedded systems, safety critical applications, firmware development, system integration and complex hardware/software interaction debugging, along with detailed data analysis problems.

Side interests include machining, 3D printing, embedded system development, coffee roasting and furniture making.

Remote: Only

Willing to relocate: No

Technologies: Various optimization tools (CPLEX, Gurobi, OR-Tools, etc.), Python, C++, Bash, Linux, and others

Résumé/CV: https://github.com/PhilippeOlivier/curriculum-vitae/blob/mai...

Website: https://www.pedtsr.ca/work.html

Email: See CV

I have a PhD in operations research---essentially, I solve optimization problems. You can give me a real-world problem and I can translate it into a mathematical model that can be solved (often optimally) via integer programming, constraint programming, or other methods. I'm the father of four young children, so I'm looking for flexible/remote part-time work (I'm also open to contract work).

I'm currently working on a column generation-based daily fantasy sports (DFS) solver as a personal project. Taking as input the predictions/requirements of the user, this solver can generate optimal lineups for multi-entry tourneys. It is, as far as I'm aware, the only DFS solver that can generate provably optimal sets of lineups for multi-entry DFS tourneys.