I have joined Neuroreef Labs as a full-time ML/AI Team Lead of a team of 5. I am excited to work with a team of talented individuals and contribute to the development of cutting-edge AI solutions. We provide custom user specific Medical Template for final notes like (Neurology, Cardiology, etc).
I have successfully completed my M.Tech in Computer Science and Engineering from IIT Gandhinagar with a CGPA of 9.33/10.
My major acdamics courses are: - Machine Learning - Deep Learning - Natural Language Processing - Algorithms - Artificial Intelligence - Computational Neuroscience
I have successfully defended my M.Tech thesis on “Optimizing Smaller Variant of LLMs” under the guidance of Dr. Mayank Singh.
Trained a mistral architecture based mini llm of 1B parameters on a web scrapped and processed Hindi dataset, Ganga-1B
Curated and processed the scientific papers from arXiv to train a mini scientific LLM.
Reduced the bibliographic biasness, as in Galactica, by deduplication and filtering of the dataset.
From back-2-back interviews in smartsense, citi and broadridge, I have been selected in citi as a Software Developer Analyst.
Got a great experience in the interview process and learned a lot from the interviewers.
Though the toughest interview was of smartsense, I found citi had very thoughful and interesting interview process.
I have joined Neuroreef Labs as a full-time ML/AI Team Lead of a team of 5. I am excited to work with a team of talented individuals and contribute to the development of cutting-edge AI solutions. We provide custom user specific Medical Template for final notes like (Neurology, Cardiology, etc).
I have successfully completed my M.Tech in Computer Science and Engineering from IIT Gandhinagar with a CGPA of 9.33/10.
My major acdamics courses are: - Machine Learning - Deep Learning - Natural Language Processing - Algorithms - Artificial Intelligence - Computational Neuroscience
I have successfully defended my M.Tech thesis on “Optimizing Smaller Variant of LLMs” under the guidance of Dr. Mayank Singh.
Trained a mistral architecture based mini llm of 1B parameters on a web scrapped and processed Hindi dataset, Ganga-1B
Curated and processed the scientific papers from arXiv to train a mini scientific LLM.
Reduced the bibliographic biasness, as in Galactica, by deduplication and filtering of the dataset.
This is an example of a callout with a title.
This is an example of a callout with a title.
From back-2-back interviews in smartsense, citi and broadridge, I have been selected in citi as a Software Developer Analyst.
Got a great experience in the interview process and learned a lot from the interviewers.
Though the toughest interview was of smartsense, I found citi had very thoughful and interesting interview process.