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Hello World! student profile: @22f3002680
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Assessing your cultural and operational fit
mlops-explainability-drift-monitoring-gke-autoscaling-cicd
December 13, 2025 – December 18, 2025
Codes for the programming exam-2 of the IITM MLOPS coursework
View ProjectWACV2026-FLORA-Dataset-NeRA-Adapter
December 2, 2025 – Present
FLORA dataset released with our paper " Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel NeRA Adapter for Enhanced Feature Adaptation" published in WACV 2026
View Projectiris-data-poisoning-wk8
November 9, 2025 – November 11, 2025
iris-data-poisoning-wk8 — GitHub repository
View ProjectMLOps_dvc-feast-mlflow
November 9, 2025 – December 18, 2025
Codes for the programming exam-1 of the IITM MLOPS coursework
View ProjectLLM_Legal_Prompt_Generation
October 19, 2023 – December 8, 2023
Data and codes for the EMNLP 2023 paper 'LLMs – the Good, the Bad or the Indispensable?: A Use Case on Legal Statute Prediction and Legal Judgment Prediction on Indian Court Cases'
View ProjectAISoMe_2023
July 15, 2023 – December 21, 2023
Contains our files for the 'Artificial Intelligence on Social Media' Track at FIRE 2023
View ProjectCultural Fit Analysis
The candidate's projects are predominantly academic or personal, indicating a strong interest in research and learning. However, the lack of professional experience or diverse project types makes it difficult to fully assess cultural fit for a corporate environment. The projects align well with a Data Scientist role, particularly in areas of MLOps and NLP.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects without details on team collaboration, problem-solving approaches, or communication styles.