About
Anthony Mikinka
Data science undergrad and ex-AMD co-op building local-first AI systems: multi-modal LLM apps (Lemonade Interviewer), multi-turn agent reliability, domain prompting under constraints, and multi-agent orchestration (LOOM). Strong in TypeScript/React, Python, agent architectures, and hardware-aware optimization for Ryzen AI and edge deployment.
I'm Anthony Mikinka (@antmikinka) — a software engineer focused on local AI, open source, and tools that make on-device models practical.
Co-creating a reality that is aligned with my higher selves, ambitions, and the most amount of freedom
I previously worked at AMD (ex-AMD) as an undergrad co-op on agent task planning for resource-constrained client devices—including Lemonade Interviewer and multi-turn reliability research under Ryzen AI / client hardware constraints. The same problems still drive my work: local-first agents, context budgets, and systems that stay honest on real devices.
Education: B.S. Data Science, Arizona State University (Expected 2027) · based in San Jose, CA.
Education
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B.S. in Data Science
Arizona State University · Expected 2027
Experience
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Undergrad co-op — Agent task planning for resource-constrained client devices
Advanced Micro Devices (AMD)
Designed and demonstrated Lemonade Interviewer for Lemonade SDK: open-source local-first multi-modal interview agent (TypeScript/React) on Lemonade Server with Whisper ASR, local LLM reasoning, and on-device speech-out. Researched multi-turn reliability, domain prompting under constraints, and validation on Ryzen AI / client hardware.
- Lemonade Interviewer: dynamic personas, multi-phase sessions, graded feedback under client constraints
- Showed multi-turn tool selection and goal completion degrade without compression, checkpointing, or history pruning
- Domain-specific instructions recovered capability on hard multi-step tasks (e.g. Newton’s Cradle sim) for small models
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Data Processing Coordinator
ArborOakland Group
Constraint-aware data pipelines and automation under hard budget ceilings, compliance requirements, and delivery SLAs.
- Cut mailing costs ~15–30% while maintaining compliance and delivery SLAs
- Automated financial reporting and job costing for 200+ client projects (~70% less manual effort)
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Founder
Symbiosis Hemp Clothing
Founded and operated a sustainable product business end-to-end; applied automation and agent-oriented orchestration ideas to production process management.
- End-to-end product, manufacturing, and supply-chain operations
- Automation workflows under real operational constraints
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Independent builder & open source
Personal / community
Research (UCL), multi-agent systems (LOOM), edge/NPU kits, Hugging Face edge models, and contributions such as BMAD-METHOD agent templates.
- Universal Conditional Logic (arXiv:2601.00880) — 29.8% token reduction (p<0.001)
- Open-source contributor to BMAD-METHOD (agent templates; project later grew past 51k stars)
- Published 11+ optimized models on Hugging Face for edge deployment
What I work on
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Local AI infrastructure
LLMs, image generation, and speech on your own GPU/NPU — including past collaboration around Lemonade SDK.
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On-device / NPU tooling
AMD XDNA experiments, Apple Neural Engine kits, and related prototypes.
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Research
Universal Conditional Logic (arXiv:2601.00880) and follow-on work.
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Developer tooling
Evaluation, citations, and systems that make AI workflows practical.
On this site
Want to work together?
See Contact for the best channels, or browse projects and what I’m doing now.