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AI grad student @ IIT Jodhpur. Exploring Multimodal VLMs and RAG. Previously built and deployed end-to-end ML systems.
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Indian Institute of Technology
Data Scientist
June 16, 2026 – Present
arkya-art
September 20, 2025 – September 20, 2025
AI grad student @ IIT Jodhpur. Exploring Multimodal Vision-Language Models (VLMs) and Retrieval-Augmented Generation (RAG). Previously built and deployed end-to-end ML systems. Passionate about advancing AI research and real-world applications.
View Projectmovie-recommender-system
September 13, 2025 – September 13, 2025
End-to-end, production-style movie recommender: offline TensorFlow NCF + online Flask serving with Kafka-Flink streaming feedback and a React client.
View ProjectEnd-To-End-Data-Science-Project
July 18, 2021 – August 3, 2021
This project integrates the Python, SQL and Tableau and demonstrates the working of end-to-end data science project
View ProjectOptical-Character-Recognition
November 14, 2020 – November 15, 2020
Optical-Character-Recognition — GitHub repository
View ProjectCOVID19-Ultrasound
November 13, 2020 – May 7, 2021
COVID19-Ultrasound — GitHub repository
View ProjectFake-News-Detection
June 16, 2020 – March 4, 2021
In this we propose machine learning techniques, in particular supervised learning, for fake news detection. More precisely, we used a dataset of fake and real news to train a machine learning model using Scikit-learn library in Python. We extracted features from the dataset using text representation models like Bag-of-Words, Term Frequency-Inverse Document Frequency (TF-IDF) and Bi-gram frequency. We tested two classification approaches, namely probabilistic classification and linear classification on the title and the content, checking if it is clickbait/nonclickbait, respectively fake/real.
View ProjectOpinion-Mining
June 7, 2020 – June 10, 2020
Opinion Mining is the task of extracting opinions from a sentence on an instance. In these project, I have collected the data from twitter and had proposed a methodology to judge the opinion of various tweets into three different classes "Offensive language", "Hate speech" and "Neutral speech" using various machine learning algorithm. I have analysed the results briefly
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML, which aligns with a culture of continuous improvement and innovation. However, the lack of team-based projects or professional experience beyond a future role at IIT Jodhpur makes it difficult to fully assess cultural fit regarding collaboration and workplace dynamics. The diversity of projects (NLP, computer vision, recommender systems) suggests adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on diverse technical challenges, but there is no information on collaboration, problem-solving approach, or communication style.