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AMD
Data Scientist
June 13, 2026 – Present
CadLLM
October 11, 2025 – Present
Official PyTorch implementation of our Findings of ACL 2026 paper, "Improving the Throughput of Diffusion-based Large Language Models via a Training-Free Confidence-Aware Calibration"
View ProjectSGBlend
May 10, 2025 – May 29, 2025
Official repository for the Implementation of SGBlend Activation Function
View ProjectKV-Caching-Implementation
March 13, 2025 – March 13, 2025
Simple Implementation of KV-Caching
View ProjectRunAwayML
June 3, 2023 – January 20, 2024
This repository is intented to host a collection of interesting AI applications in the form of easy-to-use Jupyter Notebook files and Google Colab links.
View ProjectBhagwadGitaGPT
April 26, 2023 – April 26, 2023
Large Language Model trained on Bhagwad Geeta Sanskrit Text and its Hindi Commentary
View ProjectDockGPT
April 7, 2023 – April 12, 2023
DockGPT Model trained on thousands of Docker Image source code. At the End Model is able to generate new source code of docker image :)
View ProjectEmotion_Classifier
June 20, 2022 – December 24, 2023
The solution should evaluate the caller's voice on live ongoing calls that the caller is attending in the Emergency Response Support System. After studying the caller's voice, the solution should be able to forecast the caller's emotional/mental state. The solution should anticipate/suggest the following information about the caller: it may be a tense voice, a prank call, a drunk voice, an anguished voice, or any other condition which requires an immediate response.
View ProjectJAVA-FACE-DETECTION-AND-SKETCH-CODE-USING-OPENCV
November 8, 2020 – December 23, 2021
JAVA-FACE-DETECTION-AND-SKETCH-CODE-USING-OPENCV — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong passion for AI/ML, which aligns well with an innovative and research-driven culture. The diversity of projects, from academic implementations (CadLLM, SGBlend) to practical applications (Emotion_Classifier, DockGPT), suggests adaptability and a broad interest in the field. The current role as a Data Scientist at AMD further reinforces alignment with a tech-focused, data-driven environment. The focus on personal projects indicates a self-starter mentality. However, without more information on collaborative projects or team-based experiences, assessing team cultural fit is limited.
Soft Skills & Operational Fit
The candidate's numerous personal projects suggest strong self-motivation, curiosity, and a proactive approach to learning and applying new technologies. The descriptions of projects like 'Emotion_Classifier' and 'BhagwadGitaGPT' indicate an ability to tackle complex, real-world problems and a diverse range of interests. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.