Remote: Yes

Willing to relocate: No

Technologies: React, Next.js, TypeScript, Mantine UI, Tailwind CSS, shadcn, Material UI, Bootstrap, Node.js, Express, NestJS, PostgreSQL, various auth solutions (Supabase Auth, Auth0, Firebase Auth etc.), Golang, Kubernetes, AWS, Swift, Unity, various analytics and monitoring solutions (Prometheus, Grafana, Pendo etc.), OpenAI API, AI agents.

Résumé/CV: https://drive.google.com/file/d/1UVHNlrDhIZwHV2N0XmGhOluLguZ...

Email: opudrovs@gmail.com

Available for remote work worldwide, very flexible across time zones. Looking for permanent or contract positions. Hi! I’m Olga, an experienced software engineer looking for frontend or fullstack projects.

I have experience building greenfield projects and complex features that “just work,” as well as diving into complex legacy codebases, fixing “unfixable” bugs, and performing major refactoring.

In addition to React/Next.js and Node/Express.js development, I also have experience with cloud-native workflows (Golang + Kubernetes), OpenAI API integration and agentic workflows, native iOS development, and game development. Thanks to my multi-platform experience, I can help you port large products across different platforms.

LinkedIn: https://www.linkedin.com/in/olga-pudrovska/

My contributions to Weave GitOps (React/Golang Kubernetes dashboard project): https://github.com/weaveworks/weave-gitops/commits?author=op... https://github.com/weaveworks/weave-gitops-enterprise/commit...

My latest fullstack code samples: https://github.com/opudrovs/react-api-data-sample/ Frontend: React/Next.js/TypeScript/Mantine UI/Tailwind CSS Backend: Node.js/Express/TypeScript/PostgreSQL/Supabase Auth https://github.com/opudrovs/nestjs-demo/ NestJS + TypeOrm Please see the Readme files for instructions on how to run the projects.

  Location: Washington, D.C. (open to relocation, but preference to initial remote period)
  Remote: Yes
  Willing to relocate: Yes (June 2026 and beyond)
  Technologies: Python, Rust, Elixir | Neo4j, Postgres, Redis, K8s | PyTorch, MLX, LoRA/QLoRA, Modal A100s, H100s | FastAPI, Phoenix, Rails
  Résumé/CV: https://linkedin.com/in/arthurcolle
  Email: arthur@distributed.systems

Deep knowledge of OpenAI, Anthropic + LLM APIs. Able to run models on GPUs and Apple Silicon unified memory. I have trained + deployed agentic coding, tool calling and multi-turn agent models in two prior roles.

Building autonomous agent infrastructure. Currently run a small R&D shop (Distributed, Systems & Co.) doing distributed AGI and AI safety research. I am developing graphsub (graph substrate), a graph-native service mesh for agents, eval harnesses, self-modifying DSLs.

Before that: 4 years at Goldman Sachs deep in SecDB/Slang (the reactive dependency-graph system). I worked on collateralized mortgage obligations, on the interest rate products trading desk (as an engineer in the technology division), automated parts of the downstream IR-swap lifecycle and on CDS lifecycle management for novations and other lifecycle events. Had a hand in managing and working on our internal TriOptima notional compression cycles. I got promoted from tech into structuring. Series 7.

Recent work: 15-service LLM stack (zero downtime across 98 deploys), fine-tuned Llama-3.1-8B (23% hallucination reduction), Rust daemons and TUIs. 3k+ GitHub contributions last year.

OSS: agents.erl (BEAM-native cognition), https://github.com/arthurcolle/openai-mcp, fortitude (a framework for bootstrapping agents), https://github.com/arthurcolle/dspy.ex

Looking for: AI labs, defense tech, or startups building agentic systems / foundation model infra / AI safety tooling. IC or research roles.

I can run SFT and RL experiments, train models, and I'd love to be able to train agentic models and ideally with large GPU clusters. I have enjoyed these last two years, a focused period of building "agentic scaffolding" and scaling up multi-agent systems and if any of this sounds appealing to you, I can definitely be of some help to your org!

GitHub: https://github.com/arthurcolle

recent research publications:

https://apartresearch.com/project/detecting-piecewise-cyber-...

Remote: OK

Willing to Relocate: No

Programming Languages: Ruby, Scala, Javascript, Python, TypeScript, Haskell, Scheme

Programming Strengths: Data Structures and Algorithms, Data Engineering, Programming Language Theory, Type Theory, No-Code, AI&Prompt Engineering, Complex & Unusual Domains (Healthcare, Fintech, Music, Arts, Sciences)

Frameworks, Databases & Tools: Vue, React, Rails, Flask, Postgres, HBase, MongoDB, Kafka, Jenkins, AWS, Docker

Other Skills: Leading Teams & Managing Projects, Productizing LLMs, Managing Interview Pipelines, Architecting & Implementing Greenfield Solutions, Education & Team Growth, Leading Communication and Coordination Between Stakeholders Across Teams and Organizational Silos

CV: Available Upon Request

Email: poetic.artifice@gmail.com

I am a seasoned (>15 years experience) full-stack staff-level software engineer specializing in the backend, systems architecture, AI, platform engineering, internal tools, prototyping, and data engineering. In addition to strong programming and architectural skills, I'm a force multiplier for any team in either role through the three T's -- teaching, talking, and tooling. I also hold a US patent in the AI space.

In the past, I've taught a number of scientists and students to code in python; I've led and managed a number of high-impact engineering teams of up to 12; and pioneered a number of no- and low-code solutions for stream processing, data model and query generation, form building, workflow systems, and front-end construction for a variety of industries, including those with strong regulatory requirements and complex business rules such as healthcare and fintech. >10% of all medicare applications and millions of individuals currently flow through pioneering no-code systems I conceived and built and have ran in production for over a decade.

More recently, I've built a no-code automated form-filler; a no-code web scraper (and an AI for generating such scrapers from a spec and 1-3 example urls from a page); and a workflow engine for coordinating LLMs and other generative AI processes, and on top of this a platform for both minimizing hallucinations and working with documents that are far too large for existing context window inputs or outputs using a novel, patented process that I invented; and applied these tools to various contracted projects requiring analysis and and cross-checking of information and other forms of integrity across textual and video/audio corpus data in a variety of domains (fiction and non-fiction).

I am also an improvisational pianist, published poet, and I've created novel algorithms and tools for studying and composing both music and poetry, which I have given a talk on at a recent functional programming conference.

I have extensive experience working for and running startups, software consulting shops, with some mid-sized company engineering experience as well; these give me a unique insight into speaking with customers and internal stake-holders, translating between engineering and other departments, gathering requirements, aligning stake-holders across departments on a vision and attainable timeline, and architecting/building/taking ownership over significant internal and customer-facing areas of responsibility.

If any of the above seems like a match for you and your organization or project, don't hesitate to reach out. I am available for both full-time positions and short- and long-term contracts.