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AI Engineer with 1+ years in Machine Learning, NLP & LLMs
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech in Artificial Intelligence and Data Science graduate with hands-on experience in Machine Learning, Deep Learning, NLP, Large Language Models, and Knowledge Graph Pipelines. Experienced in developing AI solutions involving document intelligence, information extraction, computer vision, and recommendation systems. Proficient in Python, PyTorch, TensorFlow, and transformer-based architectures.
Coimbatore Institute of Engineering and Technology
B.Tech · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Govt. Girls Higher Secondary School
Higher Secondary Education
June 1, 2021 – May 31, 2022
Govt. Girls Higher Secondary School
Secondary Education
June 1, 2019 – May 31, 2020
DeffoTech AI
AI/LLM Intern
August 1, 2025 – June 1, 2026
India
Lavendal Consulting
AI Intern
May 1, 2025 – June 1, 2025
India
Document Layout Detection
May 1, 2026 – June 1, 2026
Annotated custom datasets and trained YOLOv8-based models to detect document elements including titles, paragraphs, tables, images, captions, and header-footer regions. Integrated OCR pipelines to extract text from detected document regions and convert image-based documents into machine-readable content.
Knowledge Graph Pipeline for Tamil Documents
October 1, 2025 – February 1, 2026
Developed a Tamil NLP pipeline for extracting structured information from unstructured text documents. Implemented Tamil text preprocessing, custom tokenization, Named Entity Recognition (NER), canonicalization, relation extraction, and entity linking. Designed and developed Knowledge Graph (KG) workflows to transform extracted entities and relationships into graph-ready structured data.
Jaundice Detection System
January 1, 2025 – April 1, 2025
Developed a deep learning-based medical image analysis system using U-Net architecture. Performed image segmentation to identify regions associated with jaundice symptoms. Deployed the model as a Flask web application for real-time inference. Presented the project at a National Conference.
Introduction to Machine Learning
NPTEL
November 1, 2024 – Present
Applied Generative AI Certification
Infosys Springboard
November 1, 2024 – Present
Data Visualization: Empowering Business Insights
Tata Group (Forage)
August 1, 2024 – Present
Artificial Intelligence Foundation Certificate
Infosys Springboard
July 1, 2024 – Present
Python for Data Science
NPTEL
April 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in Artificial Intelligence and Data Science, coupled with multiple AI-focused projects and internships, shows a strong passion and commitment to the field. The diversity of projects (NLP, Computer Vision, Medical Imaging, Recommendation Systems) indicates adaptability and a broad interest in AI applications. The certifications further demonstrate a continuous learning mindset. The focus on practical application and problem-solving aligns well with an innovative and results-oriented culture. The academic nature of all projects and the intern-level experience suggest a candidate who is eager to learn and contribute, fitting into a growth-oriented environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI concepts through diverse academic projects and internships. The ability to work on end-to-end solutions, from data annotation and model training to deployment, indicates good operational fit. Participation in a national conference suggests presentation skills and initiative. However, the short duration of internships (e.g., Lavendal Consulting for 1 month) might indicate limited exposure to long-term project cycles or complex team dynamics. The resume's clarity and structure are good, indicating professional communication.