Python Engineering
Backend services, automation, API integrations, CLI tools, tests, and repair work for codebases that need clear behavior and maintainable paths.
Asymptotics Limited Research and Development
asym.ltd
Technical contracting for teams that need hands-on engineering across Python, AI workflows, data pipelines, Docker, cloud operations, containers, security research, and applied cryptography.
Technical work that moves from code to production.
The work is usually direct: build the missing piece, harden the fragile piece, or investigate the part of the system that nobody fully trusts.
AI Systems
LLM application glue, retrieval workflows, evaluation harnesses, prompt and tool design, batch processing, and human review loops.
Data Pipelines
Ingestion, validation, ETL and ELT jobs, orchestration, schema drift controls, observability, and cleanup for slow or fragile data flows.
Containers and Operations
Dockerfiles, Compose stacks, CI/CD, cloud deployment, Linux services, monitoring, backups, and debugging messy production environments.
Security Research
Source review, threat modeling, auth and access-control checks, dependency risk, exploitability analysis, and practical fixes for real security holes.
Applied Cryptography
Review and implementation support for hashing, key handling, signatures, encryption, randomness, privacy-preserving flows, and protocol boundaries.
Useful in the messy middle.
Asymptotics Limited is best suited to projects where research, implementation, and operations overlap.
Build
Take a prototype or internal workflow and turn it into a service, job, command-line tool, or repeatable process that a team can run.
Stabilize
Diagnose reliability problems, simplify deployment, add observability, and make production behavior less surprising.
Investigate
Read the code, test the assumptions, look for failure modes, and document fixes with enough detail for engineers to act on them.
Security work with engineering follow-through.
Finding a vulnerability is only useful when the result is clear: what failed, why it matters, how to reproduce it, and what change reduces the risk.
Cryptography without the speculation.
Cryptographic work stays focused on durable primitives and careful integration: signatures, key lifecycle, encryption boundaries, integrity checks, and privacy properties that can be tested.
Discuss a technical contracting project.
Send a short brief with the system, the risk or delivery problem, and the outcome you need.