AI Engineer with less than a year in machine learning, deep learning, NLP, and LLM applications.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic AI & ML Engineer (Fresher) with strong foundations in machine learning, deep learning, NLP, and LLM applications. Skilled in building agentic Al systems, deploying RAG pipelines, and applying modern frameworks (TensorFlow, PyTorch, LangChain). Eager to contribute to real-world Al solutions and grow within innovative teams.
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Advance AI and Data Science
August 1, 2023 – June 30, 2025
University College of Engineering, Tindivanam
B.E. · Civil Engineering
August 1, 2015 – June 30, 2019
G.H.S. School, Boothapandy
HSC
June 1, 2015 – May 31, 2015
G.H.S. School, Boothapandy
SSLC
June 1, 2013 – May 31, 2013
Medical Image Classifier
June 24, 2026 – Present
Built a Deep learning model (EfficientNet-B0) that classifies medical vs. non-medical images with 99% accuracy. Supported input from URLs and PDFs for hospitals, labs, and research projects. Created an interactive dashboard with image previews, results, and real-time performance metrics.
View ProjectRole-Based Agent AI System (Advanced RAG Fusion)
June 24, 2026 – Present
Developed an AI assistant that gives role-specific answers (HR, Finance, Engineering, Marketing), cutting query time by 40%. Combined keyword + vector search for higher accuracy and fewer irrelevant results. Scaled for multi-department use with minimal setup, boosting knowledge access across the company.
View ProjectOne-Click Scrollable Webpage Synthesis System
June 24, 2026 – Present
Built an AI-powered webpage that combines content from Cloud, ML, GenAI, and Data Engineering into one scrollable page, improving discovery efficiency by 85%. Used role-based queries, metadata tagging, and real-time synthesis for personalized answers. Automated data extraction with Python and HTML parsing, saving navigation time across 40+ service pages..
View ProjectToxic Word Classification
June 24, 2026 – Present
Fine-tuned a Transformer model (DistilBERT) to classify text as toxic or non-toxic with strong accuracy. Designed a full NLP pipeline: text cleaning, tokenization, model training, and evaluation. Deployed for real-time use, converting predictions into clear, human-readable outputs.
View ProjectStatistics and Machine Learning for Data Science
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June 1, 2026 – Present
Python for Data Science
LearnBay
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a breadth of skills across different AI domains (NLP, computer vision, RAG systems, generative AI). The target role is 'AI Engineer', which aligns well with the candidate's stated interests and project experience. The diversity of projects (web synthesis, role-based agents, medical image classification, toxic word classification) indicates adaptability and a willingness to explore various applications of AI. The ongoing 'Advance AI and Data Science' education further supports a commitment to the field. However, the lack of professional experience means cultural fit in a team setting is largely unproven.
Soft Skills & Operational Fit
The candidate's resume highlights an 'Enthusiastic AI & ML Engineer (Fresher)' profile, indicating a strong eagerness to learn and contribute. The project descriptions suggest an ability to work on diverse tasks and a focus on practical application (e.g., improving discovery efficiency, cutting query time). However, without direct work experience, it's difficult to assess operational fit, teamwork, or stress handling capabilities. The projects are personal, which shows initiative but lacks the context of collaborative development or enterprise-level challenges.