Machine Learning | Deep Learning | Open Source enthusiast | LLMs | Cloud-Native Tech. |DSA
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EXL
Machine Learning
June 13, 2026 – Present
Finetuning_LLM_Practice
September 27, 2025 – Present
This repo contents practice notes of llm finetuning
View Projectreviewing-a-pull-request
July 20, 2022 – July 20, 2022
reviewing-a-pull-request — GitHub repository
View ProjectStroke-Prediction-Using-ML
May 25, 2022 – May 25, 2022
In this project, we will predict whether a patient will have a heart stroke or not based on his/her comorbidities, work, and lifestyle
View ProjectLiver-cirrhosis-prediction
May 25, 2022 – May 28, 2022
In this project we will try to predict liver Cirrhosis disease. Cirrhosis is a late stage of scarring (fibrosis) of the liver caused by many forms of liver diseases and conditions, such as hepatitis and chronic alcoholism.
View ProjectToxicity-classification-NLP
March 16, 2022 – April 25, 2022
These days social media are not that safe. most people face toxic comments based on their gender, race or background etc.. So I build this project to classify those comments
View ProjectUpscale-Image
March 13, 2022 – April 7, 2022
This is the project I have done to upscale the blurry image
View Projectdeveloping-with-docker
January 21, 2022 – January 21, 2022
I have Completed this Project for DevOps bootcamp which is taught by TechWorldwith Nana
View ProjectLoan-Amount-Sanction-
August 11, 2021 – August 11, 2021
Cipla HackerEarth challenge July 2021 where we have to predict how much loan amount will be sanction based on given features
View ProjectBusiness-Startup-Success-Prediction
June 19, 2021 – May 9, 2022
This is my final year project for this project I have used crunchbase dataset
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on Machine Learning, which aligns with the target role. The diversity of ML projects (prediction, classification, LLM finetuning, image upscaling) indicates a broad interest within the ML domain. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.