Purvi Verma Profile Picture

My journey as a civil engineering graduate who ventured into artificial intelligence, data science, and computational modeling has shaped me into a researcher eager to bridge disciplines and tackle complex real-world problems.

Computational Insights for Real-World Impact

As a Civil Engineering graduate from IIT Bhubaneswar, my research foundation is defined by its span across Computational Mechanics, Artificial Intelligence, and Data-Driven Modeling. My journey is characterized by interdisciplinary rigor: from developing thermodynamically consistent neural network models for complex materials, to building ML systems for social good, and designing scalable AI safety guardrails in industry. This unique blend of experience in simulation, machine learning, and LLMs drives my pursuit of a PhD, where I aim to integrate diverse methodologies to contribute research that is both scientifically rigorous and societally meaningful.

Explore Research Assets

The Skill Galaxy

The The Knowledge Star (Sun) is orbited by the eight disciplines (Planets) that drive my skillset. Click any planet to see its detailed dossier.

The Knowledge Star

Select a Planet

Click on any orbiting skill to view its specialized knowledge, toolset, and contribution to Scientific Machine Learning.

Skillset:

Professional Timeline

GitHub
Aug 2025 - Present

Part-time Research Intern

Position: Thermodynamically Consistent NN Plasticity Modeling
Affiliation: School of Infrastructure, IIT Bhubaneswar
Department: Civil Engineering Department, IIT Bombay
Advisors: Prof. Mohammad Masiur Rahaman and Prof. Tushar K. Mandal
◦ Developed finite element simulations in Julia using ADFem.
◦ Implemented automatic differentiation frameworks (Flux, Zygote, Enzyme) for scalable training.
◦ Designed deterministic neural-network-based plasticity models (GAM, NAM, etc.) with thermodynamic consistency.

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July 2024 - Present

Senior Associate Data Science

◦ AI Safety Guardrails for Mondelez: Designed adaptive AI safety guardrails integrating CV, deep learning, and LLMs.
◦ Conversational AI: Developed multi-turn conversational agent with “bring-your-own-guardrail”.
◦ Multimodal Content Processing (MCP): Integrated tools to enforce fine-grained safety policies.
◦ ATOMS – Automated Poster Extraction System: Built end-to-end system to extract structured elements from Advertisements (Pfizer & Eli Lilly).
  ◦ Data augmentation for fine-tuning object detection models.
  ◦ Multi-line text detection using PaddleOCR.
  ◦ Combined CV and NLP for structured info extraction.

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Doc
May 2023 - May 2024

Research Intern

Topic: Detecting Sexist Texts Targeted at Women in India
Affiliation: SMMME, IIT Bhubaneswar
Department: Institute of Computer Science, University of Tartu
Advisors: Prof. Kisor Kumar Sahu and Prof. Rajesh Sharma
◦ Collected and preprocessed social media data using snscrape & PRAW.
◦ Engineered features: TF-IDF, n-grams, sentiment scores, BERT/RoBERTa embeddings.
◦ Built ML & DL models: Naive Bayes, KNN, ANN, RNN, LSTM, CNN.
◦ Evaluated models using precision, recall, F1-score, ROC-AUC; performed cross-validation & hyperparameter tuning.

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GitHub Doc
March 2023 - May 2023

Artificial Intelligence Intern

◦ Collected and cleaned a large video dataset from YouTube.
◦ Designed a GAN to generate video frames from single images, optimized generator/discriminator for realism.

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Certifications & Courses

Certificate 1

Build Basic Generative Adversarial Networks (GANs)

DeepLearning.AI

Learned the fundamentals of Generative Adversarial Networks, including training basic GANs, understanding their architecture, and practical applications in generating synthetic data.

Certificate 2

Applied Text Mining in Python

University of Michigan

Focused on text mining techniques using Python, including text preprocessing, feature extraction, and sentiment analysis, with hands-on projects using real-world datasets.

Certificate 3

Introduction to Object-Oriented Programming in C++

University of London

Covered core concepts of object-oriented programming, including classes, objects, inheritance, polymorphism, and encapsulation in C++, with practical coding exercises.

Certificate 4

Introduction to Web Development with HTML, CSS, JavaScript

IBM

Gained foundational skills in web development, building responsive websites using HTML, CSS, and JavaScript, and understanding client-side web programming fundamentals.

Certificate 5

Supervised Machine Learning: Regression and Classification

DeepLearning.AI / Stanford Online

Explored supervised machine learning techniques, including regression and classification models, evaluation metrics, and practical implementation using Python and real-world datasets.

Certificate 6

Crash Course on Python

Google

Introduced to Python programming basics, including variables, data types, control structures, functions, and hands-on coding exercises for quick practical understanding.

Personal Projects

Hall of Impact

Agentic AI Hackathon Finalist

Top finalist in the Google Cloud AgenticAI Day Hackathon, demonstrating excellence in rapid LLM workflow and safety development.

General Championship 2024 Winner

Secured 1st place in the Machine Learning-based Real-time Age and Gender Detection competition at IIT Bhubaneswar (2024).

Quantitative & Coding Excellence

Achieved AIR 211 in the JLR Gearshift Code Rally and qualified in the Pre-Regional Mathematical Olympiad (PRMO), 2020.