welcome to my corner of the internet, currently a cs undergrad, right now my interests include LLMs (architecture + finetuning), ML infra & LLM-Ops along with backend.
lately...
these days, i've been primarily busy with :
learning LLM systems with interest in transformer internals, LLM architecture, inference optimization, RAG pipelines and fine-tuning methods
learning MLSys and MLOps by implementing training pipelines, model serving, monitoring, drift checks and deployment workflows
- spending time on improving my backend stack which includes FastAPI, PostgreSQL, Redis, Docker, async systems and production-style API design
- trying to understand and contribute to open-source codebases
- and doing multiple projects with relevance to the above, publishing blog posts also.
looking for mentorship
i'm currently learning and growing toward ML research, and i'm always grateful to learn from people with more experience in the field, and i believe that mentorship in ml research could be mutually valuable! i'm particularly interested in llm training, inference optimization, fine-tuning, machine translation and model adaptation for underrepresented languages. if you think some of my research interests or efforts are worthwhile for mentorship or collaboration, please reach out!
now with that being said, i'm genuinely open to exploring other areas of applied nlp and deep learning if the problems are compelling and the learning opportunity is strong (which might be pretty much every time if you're doing something interesting). all i ask for is an environment where i can garner knowledge, skills, and display my grit & toil. as long as i can go all-out in my pursuit of uncompromising learning sense, i don't care about any other gains or rewards.
beyond my studies, i enjoy my time listening to music, playing single player games, reading mangas + watching anime or fafo on how things work.
ps i love simplicity and a great admirer of unix philosophy, minimalism and open source.
Activity
GitHub
Skills
ML
Backend
DevOps / Tools
