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AI Engineer with less than a year in Deep Learning & NLP
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Post graduate in Artificial Intelligence and Machine Learning with a strong foundation in data analysis, machine learning algorithms, and Python programming. Hands-on experience through academic and project-based work involving data preprocessing, model development, and evaluation. Proficient in Python, SQL, and commonly used ML libraries, with exposure to deep learning concepts. Seeking an entry-level opportunity to apply analytical and technical skills in a professional environment.
MS Ramaiah University of Applied Sciences
Master of Technology · Artificial Intelligence and Machine Learning
August 1, 2023 – June 30, 2025
APJ Abdul Kalam Technological University
Bachelor of Technology · Computer Science and Engineering
August 1, 2018 – June 30, 2022
Infosys Springboard
internship
February 1, 2025 – March 1, 2025
India
War Scenes Image Caption Generation Using Deep Learning Techniques
June 24, 2026 – Present
Developed a transformer-based deep learning framework to automatically real generate captions for military imagery, enhancing situational awareness and decision-making in defence applications. Military Image dataset with paired descriptive captions. Designed and evaluated CNN-LSTM and transformer models ResNet50. Achieved high accuracy in generating contextually relevant captions, enhancing natural language generation capabilities and validated through superior BLEU, ROUGE-L, and CIDEr performance metrics.
Automated Text Summarization
June 24, 2026 – Present
Created a web-based NLP application for summarizing lengthy documents using extractive and abstractive methods. Text extracted from operations management documents. LexRank for extractive summarization, BART model for abstractive summarization, Gradio interface. Produced concise summaries with 85% ROUGE score, enhancing information accessibility.
Twin Technology in Greenhouse
June 24, 2026 – Present
Developed a digital twin for real time greenhouse monitoring using sensors for temperature, humidity, light, moisture, pH, and smoke. Used ATmega328, Node MCU, Firebase, and MIT App Inventor. Enabled automated control, optimizing growth with minimal manual effort.
Introduction to Artificial Intelligence
Google (Coursera)
May 1, 2026 – Present
OpenCV Bootcamp
OpenCV University
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in AI applications, from defense to agriculture, indicating a broad curiosity and willingness to explore different domains. The internship at Infosys Springboard suggests an interest in applying AI to industry-specific problems. This diversity aligns well with a dynamic environment that values continuous learning and varied problem-solving. The focus on AI/ML aligns directly with an AI Engineer role.
Soft Skills & Operational Fit
The candidate's resume indicates a project-oriented approach, suggesting an ability to work on defined tasks and deliver measurable outcomes. The academic projects and internship demonstrate initiative and a foundational understanding of applying AI/ML concepts. However, without direct behavioral assessment, it's difficult to fully gauge soft skills like teamwork, problem-solving under pressure, or adaptability in a professional setting.