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AI Engineer with less than a year in LLMs, transformers & deep learning models
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML and Generative AI Engineer with hands-on experience in building and deploying intelligent systems using LLMs, transformers, and deep learning models. Skilled in Python, Hugging Face, and real-time AI integration to solve real-world problems efficiently.
NRI Institute of Technology
Bachelor of Technology · CSE-AIML
August 1, 2022 – June 30, 2026
DKNPJunior college
Intermediate · MPC
June 1, 2020 – May 31, 2022
Sri Siddhartha Institutions
SSC
June 1, 2019 – May 31, 2020
Edutech Innovations
Internship Experience
January 1, 2026 – April 1, 2026
India
Quiz App Console-Based
June 1, 2026 – Present
A console-based quiz game where users answer multiple-choice questions. The program keeps track of the score and shows results at the end. Questions are stored in a JSON or dictionary format for easy customization.
DefectClassification-in Solar Panels Using Electroluminescence imaging
June 1, 2026 – Present
Developed an AI-based defect detection system using the YOLO V8 deep learning model to identify solar panel faults from Electroluminescence (EL) images. The system detects defects such as microcracks, broken finger lines, and inactive regions with high accuracy. Integrated the model into a Django-based web application for real-time image upload, automated defect detection, and visualization using bounding boxes and confidence scores.
Prompt Engineering from Cognitive Class.ai
Cognitive Class.ai
June 1, 2026 – Present
GenerativeAI from codegnan it solutions
codegnan it solutions
June 1, 2026 – Present
Unleashing the power of AI Agents
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background in CSE-AIML, coupled with projects in AI/ML and an internship in IoT/robotics, shows a strong interest and foundational alignment with an AI-focused role. The diversity of projects (deep learning, web integration, console app, IoT) indicates adaptability and a willingness to explore different technical areas. 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 lists 'Effective Communication, Team Collaboration, Problem-Solving, Adaptability, Critical Thinking' as soft skills. The project descriptions are clear, indicating good written communication. The academic projects and internship suggest an ability to work on defined tasks and integrate different technologies, which is positive for operational fit.