Founding Engineer @Immersfy Passionate about leveraging AI to create impactful products!
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Immersfy
Data Scientist
June 20, 2026 – Present
llama-grpo
March 8, 2025 – March 18, 2025
A minimal version of training Llama 1B Instruct model using the GRPO objective.
View Projectcopy-of-official-TF-code-for-transformer
January 4, 2022 – January 4, 2022
Repo for reference to the code documentation for the official TF code for Transformers for NLP tasks.
View ProjectArtificial-Intelligence
August 9, 2021 – November 29, 2021
Artificial-Intelligence — GitHub repository
View ProjectMultiLableClassification_using_PyTorch
April 15, 2021 – April 17, 2021
MultiLableClassification_using_PyTorch — GitHub repository
View ProjectDeep-Learning-Basics
January 25, 2021 – February 8, 2021
This repository contains the code of all the popular Deep Learning frameworks out there. The majority of the Codes are written in TF, further revision would include similar frameworks in PyTorch also.
View Projectsemester6_practicals
January 11, 2021 – May 6, 2021
Semester 6 University Practicals - Nothing to see here, move along!
View ProjectMLFromScratch
September 11, 2020 – November 24, 2020
This repository is the collection of all the basic algorithms used in Machine Learning. Some are implemented from scratch while some using existing libraries.
View ProjectDUR-Flight-Reservation-System-
April 10, 2020 – July 30, 2020
DUR-Flight-Reservation-System- — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards Machine Learning and Deep Learning, which aligns with a Data Scientist role. However, the projects are predominantly personal and academic, with limited information on collaborative efforts or real-world impact. The single professional experience as a Data Scientist is listed as current but lacks details on responsibilities or achievements, making it difficult to fully assess cultural fit and practical application of skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available, and project descriptions are minimal.