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AI Engineer with less than a year in Machine Learning & Deep Learning
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 AI/ML Engineer with hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). Skilled in building predictive models and working with real-world datasets using Python. Interested in Computer Vision, NLP, and Generative AI, with a focus on solving real-world problems through AI.
DR Subhash University
Btech · Computer Science and Engineering
September 1, 2022 – March 1, 2026
Maharshi Gurukul Sankul
HSC (PCM)
June 1, 2021 – May 31, 2022
Alpha High School
SSC
June 1, 2019 – May 31, 2020
AI-Powered Medical Report Simplification System
June 1, 2026 – Present
Designed a Generative AI-based system to simplify complex medical reports into easy-to-understand language for patients. Implemented text extraction from reports and used LLMs to generate clear explanations, highlighting abnormal values and possible insights. Successfully demonstrated the ability to convert complex medical data into simple, understandable explanations, improving accessibility and user understanding through AI-driven insights.
Satellite Image Classification using Deep Learning
June 1, 2026 – Present
Built a deep learning model to classify satellite images into different categories using convolutional neural networks. Applied image preprocessing and model optimization techniques to improve classification accuracy. Achieved accurate classification of satellite images using deep learning techniques, demonstrating effective feature extraction and model performance on image-based data.
Intelligent Research Assistant using Agentic AI
June 1, 2026 – Present
Developed an AI-based research assistant to analyze and summarize academic literature using agentic workflows. Focused on improving information retrieval and understanding through LLM-driven reasoning and automated knowledge extraction. Improved efficiency in extracting and summarizing key information from research content, enabling faster understanding and better knowledge organization using AI-based workflows.
Certified in Getting Started with Artificial Intelligence
IBM skill
June 1, 2026 – Present
Certified in Python Programming Language
Edunet Foundation
June 1, 2026 – Present
Certified in Data Science & Machine Learning
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in applying AI to solve real-world problems (medical report simplification, research assistance). The diversity of projects (Computer Vision, Generative AI, Agentic AI) shows a broad interest in the AI domain. The listed soft skills align with a collaborative and innovative work environment. However, the lack of professional experience beyond an internship and academic focus means cultural fit in a corporate setting is yet to be fully proven.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, fast learner, adaptability, self-motivated, time management, and continuous learning mindset as soft skills. These are valuable for an AI Engineer role, indicating a proactive and growth-oriented individual. However, without behavioral assessment data, the practical application of these skills in a team or operational setting cannot be fully evaluated.