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AI Engineer with less than a year in Machine Learning, NLP & Full-stack Development
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Devangi Pansuriya is an aspiring AI Engineer with 0.5 years of experience as a Software Engineer Intern, specializing in Machine Learning, Deep Learning, and Natural Language Processing. She has hands-on experience with Python libraries like Pandas, Scikit-learn, and PyTorch, and a strong background in full-stack development using the MERN stack. Her project work demonstrates proficiency in building scalable applications, REST APIs, and implementing features like authentication, filtering, and error handling.
Dhirubhai Ambani University
MSc · Information Technology
August 1, 2024 – June 30, 2026
GrowExx AI Solutions LLP
Software Engineer Intern
January 1, 2026 – Present
Ahmedabad, Gujarat, India
WanderLust
June 23, 2026 – Present
A full-stack travel web application that allows users to create, manage, and explore travel destinations. The application supports secure authentication and authorization, along with Cloudinary image storage It includes CRUD operations for listings, user reviews, search and filtering, interactive maps using the Mapbox API, and custom error handling, all structured using the MVC design pattern for maintainability and scalability.
View ProjectServiceBee
June 23, 2026 – Present
Developed a full-stack service booking platform with role-based authentication for Admin, Customer, and Provider using the MERN stack. Built scalable REST APIs with centralized error handling and MongoDB database integration using Mongoose. Implemented booking management, location-based service filtering, ratings, pagination, and secure JWT authentication.
View ProjectAI-Based Text Summarizer
June 23, 2026 – Present
Developed an NLP-based text summarization system using the T5 Transformer model and Hugging Face Transformers. Performed data preprocessing, tokenization, and fine-tuned the model on the SAMSum dataset. Trained the model using PyTorch and evaluated summarization performance on validation data.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a blend of full-stack web development and AI/NLP projects, indicating a diverse interest and ability to adapt to different technical domains. The internship at an AI Solutions company aligns well with the target role of an AI Engineer, suggesting a focused career interest. The academic achievements and LeetCode activity point to a driven and self-motivated individual, which generally contributes positively to cultural fit in a high-performance environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex tasks independently and apply structured design patterns (MVC). The internship experience suggests an understanding of collaborative development using Git/GitHub. However, without direct assessment data, specific soft skills like teamwork, leadership, or communication in a professional setting cannot be definitively evaluated.