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AI Engineer with less than a year in multimodal AI and computer vision.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Machine Learning Engineer with hands-on experience in multimodal AI, computer vision, OCR systems, and transformer-based models. Skilled in developing and deploying AI applications using Python, Hugging Face, and Vision-Language Models (Qwen-VL). Strong foundation in machine learning, deep learning, document AI, and data processing.
D.Y. Patil College of Engineering and Technology, Kolhapur
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
IIT Bombay
EdTech Intern
July 1, 2025 – October 1, 2025
India
AICTE
TechSaksham - AI Intern
November 1, 2024 – December 1, 2024
India
OCR Management System
January 1, 2026 – January 1, 2026
Developed a multimodal Document AI system using Qwen-VL for extracting structured information from documents and images. Leveraged transformer-based models for OCR and document understanding. Deployed on Hugging Face Spaces.
View ProjectTemporal Emotion Transition Modeling
October 1, 2025 – October 1, 2025
Conducted exploratory analysis on multimodal time-series data (EEG, GSR, eye-tracking, facial expressions). Identified emotion transition patterns and engagement trends.
Image Classification Project
December 1, 2024 – December 1, 2024
Built an image classification model using foundational CNN architectures. Performed data preprocessing, training, and evaluation on image datasets.
Generative AI Exchange Program - Google Cloud Skills Boost (1st Rank)
Google Cloud Skills Boost
June 1, 2026 – Present
Data Analytics Job Simulation
Deloitte Australia
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and foundational experience in AI/ML, aligning well with an AI Engineer role. The diversity of projects (OCR, emotion modeling, image classification) and involvement in programs like Google Cloud's Generative AI Exchange indicate a proactive learning approach and a breadth of exposure within the AI domain. However, the experience is primarily academic and internship-based, which might require more structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest an ability to work with complex datasets and contribute to analytical solutions. The achievement of securing 1st rank in a Generative AI program indicates a proactive and competitive attitude. However, without specific psychometric or English test scores, it's difficult to fully assess communication clarity, work attitude, stress handling, or team collaboration.