Sr. Software Engineer building production Django apps with practical AI integration. I specialize in creative AI tooling , image generation pipelines, multi-model orchestration (Flux, SDXL), prompt engineering systems, and cost-optimized workflows. Current work: 20+ custom management commands for AI image generation, character IP systems, scene replication with layered prompt architecture. I help teams ship AI-powered creative tools without risky rewrites, handling multi-model workflows, resume-capable operations, and obsessive cost tracking. Looking for fractional or project work (2-6 week cycles) involving generative AI, creative tooling, or content pipelines.
Sr. Software Engineer building production Django apps with practical AI integration. I specialize in creative AI tooling , image generation pipelines, multi-model orchestration (Flux, SDXL), prompt engineering systems, and cost-optimized workflows. Current work: 20+ custom management commands for AI image generation, character IP systems, scene replication with layered prompt architecture. I help teams ship AI-powered creative tools without risky rewrites, handling multi-model workflows, resume-capable operations, and obsessive cost tracking. Looking for fractional or project work (2-6 week cycles) involving generative AI, creative tooling, or content pipelines.
It really depends, sometimes I am just doing other tasks that aren't directly coding related. But often I also start with a plan of what I will prompt the LLM with, as I have a rough idea of the work that I want to get done in a few hours. So I start with the much larger tasks, and then while the LLM is thinking, I am kind of planning through my approach with the next task(s). Sometimes I am also wireframing, or drawing things which need to be improved on-top of a screenshot for the next round of UI/UX improvements.
Sr. Software Engineer & Web-developer focused on Python frameworks. Comfortable operating across backend, performance, light UI integration and AI feature enablement. I build & evolve production Django platforms while layering in practical LLM capabilities (retrieval, agents, workflow automation) without triggering risky rewrites. Current personal R&D: multi‑agent interaction sims to forecast failure modes; retrieval evaluation harnesses; lightweight agent tool routing. Looking for fractional or project-based work (2–6 week focused cycles or ongoing) where I can consolidate scattered scripts/services, ship measurable automation, and harden reliability surfaces while keeping iteration momentum high.
Sr. Software Engineer & Web-developer focused on Python frameworks. Comfortable operating across backend, performance, light UI integration and AI feature enablement. I build & evolve production Django platforms while layering in practical LLM capabilities (retrieval, agents, workflow automation) without triggering risky rewrites. Current personal R&D: multi‑agent interaction sims to forecast failure modes; retrieval evaluation harnesses; lightweight agent tool routing. Looking for fractional or project-based work (2–6 week focused cycles or ongoing) where I can consolidate scattered scripts/services, ship measurable automation, and harden reliability surfaces while keeping iteration momentum high.
There will always be plenty of money to go around no matter what situation we end up with. It will end up being much more centralized than things are today. But there won't ever be a situation where everyone is going to be poor, even if the masses are.
I was building an multi-agent system connected to Telegram. There is one agent that synthesises a response through 5+ other agents. Initially I was tweaking the system through my IDE, making small adjustments to promps to ensure that patterns and workflows where followed better. But I also started to interact while on the road, or just from the bed. And I got very frustrated by seeing some multi-step / multi-agent interactions go completely wrong, so I build in an additional architecting agent, which can make adjustments to the agents prompts (in terms of executing logic of tool calls) on the fly.
So if I saw something went wrong, I would say: "Next time don't do that, please do this instead" - Architect agent then reviews the entire tool and agent call chain, and makes a new adaptation to each agent (if necessary).
I was calling this "Poor man's RLHF" - it has been quite fun to interact with. Ended up making it so that this is a JSON file that I could later (potentially use for finetuning). But I was always wondering if there was a name for this? Is it the similar as DPO? I called it "behavioral adaptation". For a small system it was quite effective. But I also didn't bother to research it.
SEEKING WORK | Full-stack Django Developer & AI Engineer
Location: Thailand (GMT+7)
Remote: Only
Willing to relocate: No (Within Thailand only)
Technologies: Django, Python, HTMX, AlpineJs, Tailwind, SQL, PostGreSQL
Résumé/CV: https://edwin.genego.io/
Email: edwin@genego.io
LinkedIn: https://www.linkedin.com/in/edwin-genego/
As a Sr. Software Engineer & Web-developer primarily working with Python frameworks. I am comfortable wearing many hats, and have worked through small to large sized projects for different sized clients (small to enterprise), building tech both on the Back & Front-end as well as Infra. I am currently looking for an AI or LLM company to work with. I have worked with clients in AI since 2022 - and am currently spending several hours per day experimenting with AI & LLMs. From getting my hands dirty with the latest models and papers, to working on small applications that use AI. Especially when it comes to agentive apps (read: function calling or code writing-and-executing models), real world simulations (simulating 1000s of interactions with LLMs) or forecasting with LLMs. I have a few exploratory side-projects to show. And a huge amount of passion for the subject matter (productizing AI & LLMS) to bring to the table. AI-Stack keywords: LangChain, LLamaIndex, AutoML, MLFlow, AG2 (formerly Autogen), TinyTroupe, Oasis
SEEKING WORK | Full-stack Django Developer & AI Engineer
Location: Thailand (GMT+7)
Remote: Only
Willing to relocate: No (Within Thailand only)
Technologies: Django, Python, HTMX, AlpineJs, Tailwind, SQL, PostGreSQL
Résumé/CV: https://edwin.genego.io/
Email: edwin@genego.io
LinkedIn: https://www.linkedin.com/in/edwin-genego/
As a Sr. Software Engineer & Web-developer primarily working with Python frameworks. I am comfortable wearing many hats, and have worked through small to large sized projects for different sized clients (small to enterprise), building tech both on the Back & Front-end as well as Infra. I am currently looking for an AI or LLM company to work with. I have worked with clients in AI since 2022 - and am currently spending several hours per day experimenting with AI & LLMs. From getting my hands dirty with the latest models and papers, to working on small applications that use AI. Especially when it comes to agentive apps (read: function calling or code writing-and-executing models), real world simulations (simulating 1000s of interactions with LLMs) or forecasting with LLMs. I have a few exploratory side-projects to show. And a huge amount of passion for the subject matter (productizing AI & LLMS) to bring to the table. AI-Stack keywords: LangChain, LLamaIndex, AutoML, MLFlow, AG2 (formerly Autogen), TinyTroupe, Oasis
https://edwin.genego.io/