shipped a Go + Python RAG infra from scratch, was shortlisted for Summer of Bitcoin from 60k applicants, published two packages on PyPI.
stack: Go, Python, FastAPI, gRPC, ChromaDB, PyTorch, RAG pipelines.
looking for remote contract work or internship opportunities worldwide.
https://t.co/pSyAhawG8Z
#buildinpublic #hiring #golang #RAG
@Shreyas_Pandeyy Can you plz give opinion on my skillset. I have been searching for internships from a long time but am unable to get one, just wanted to know if there are any issues in my skillset.
the AI engineering space has a weird split right now. half the job postings want someone who can fine-tune LLMs. the other half want someone who can actually deploy and maintain them reliably in production.
those are almost completely different skill sets and nobody talks about that.
#AI #MachineLearning #buildinpublic
actively looking for remote internship or contract work as a Go backend or AI/ML engineer.
shipped: production RAG infra, AutoML PyPI package
https://t.co/Lb5aVeOuGq
#hiring#golang#RAG#buildinpublic
unpopular opinion: most AI startups don't need a fine-tuned model. they need someone who can build reliable infrastructure around an existing one.
agree or disagree?
#AI#buildinpublic
things i've implemented in Go that i thought would be harder: token bucket rate limiting per namespace, graceful shutdown with context propagation, in-process LRU semantic cache.
things that were actually harder than expected: getting gRPC streaming right across a Python intelligence layer.
#golang #backend #buildinpublic #python #tech
if you're building an AI product and your retrieval is slow, inconsistent, or just returning garbage, that's an infrastructure problem not a model problem.
i fix this. https://t.co/2BhPMBswiU
#freelance#RAG#AI#coding#fiverr
@internet_shubhi@ikiguy_ai_ Let me know if you are looking for freelance engineers or interns.
Fiverr : https://t.co/NhXHnUHRVp
Portfolio : https://t.co/yufuQH2em5
@zerion0 It's just his opinion, you can get a job or internship using any language if you are skilled. So, no need to be disappointed, just keep learning.
@thesophiebrand Besides the clear overfitting issue, you should also check the distribution of your training and test data, sometimes when splitting the whole decision boundary can be different for test data compared to the train data.
@thesophiebrand You are not the only one feeling this way. Even i was thinking where did all the ml engineers go on X. It's just that all that ai slop and hype riding have buried actual ml engineers.
@devmatiue I don't believe introducing generics will have much effect on pre-existing source code but yeah new devs may overcomplicate things and it may interfere with go's main motto of keeping everything simple.
@jaredfurtado10 Good Work Jared. Spend a lot of time on the for select loop and mutex, those topics are a bit difficult to grasp your mind around and developing a intuitive understanding.