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Data Science Grad Student at Michigan State University
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Quantiphi Inc
Data Scientist
June 28, 2026 – Present
MyHealthAgent_Multi-Agent-Assistant
June 3, 2025 – June 3, 2025
MyHealthAgent is a GenAI‐powered, multi‐agent nutrition assistant designed to help users log meals, extract medical conditions from lab‐report images, and receive real‐time, personalized dietary guidance.
View ProjectPre-training-GPT-Model
June 3, 2025 – June 3, 2025
This project provides end‐to‐end code for training a GPT‐style language model from scratch (or fine‐tuning an existing checkpoint) on large text corpora. It includes utilities for downloading and preprocessing data, a configurable training pipeline built on PyTorch .
View ProjectCharacterization-and-Analysis-of-Entities-and-Narratives-in-Novels
November 28, 2024 – August 27, 2025
This project develops a natural language processing (NLP) pipeline to analyze nov- els, focusing on named entities, their roles, and dominant narratives.
View Projectara-kinase-prediction
July 25, 2024 – November 14, 2025
Arabidopsis kinase genetic interaction prediction project
View ProjectImage-Captioning
September 9, 2020 – October 4, 2023
Image Captioning is the process of generating textual description of an image.It uses both Natural language Processing and Computer Vision to generate the captions.
View ProjectPlant-Pathology
September 2, 2020 – September 2, 2020
Accurately classifying a given image into different diseased category or a healthy leaf using some pre-trained deep learning models
View ProjectPortrait-Segmentation
August 30, 2020 – August 30, 2020
Portrait segmentation is to separate the portrait in a picture from the background to form different areas, which are distinguished using different tags.
View ProjectSemantic-Segmentation-for-Self-driving-cars
August 27, 2020 – August 27, 2020
Self-driving cars require a deep understanding of their surroundings. To support this, camera frames are used to recognize the road, pedestrians, cars, and sidewalks at a pixel-level accuracy. In this project, we develop a neural network and optimize it to perform semantic segmentation using Unet and Segnets.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, demonstrating initiative and a passion for learning and applying diverse data science techniques. The breadth of projects, from image captioning to multi-agent assistants and GPT model pre-training, suggests adaptability and a willingness to explore different areas within AI/ML. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.