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AI Engineer with less than a year in NLP & Data Modelling.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Postgraduate data professional with expertise in SQL, Python, and data modelling. Specialized in Natural Language Processing, Retrieval-Augmented Generation (RAG), and Optical Character Recognition (OCR). Committed to driving Enterprise Intelligence projects and data-driven decision-making.
Kerala University of Digital Sciences, Innovation & Technology
MSc Computer Science & Data Analytics
N/A – June 30, 2026
Cochin University Of Science And Technology
B.Voc In Business Process And Data Analytics
N/A – June 30, 2022
Digital University Kerala
AI Intern
May 1, 2026 – Present
Thiruvananthapuram, Kerala, India
Deepfake Audio Detection System
June 1, 2026 – Present
Built a deep learning system to classify real and fake speech using MFCC and Mel Spectrogram features, training a CNN–LSTM model with TensorFlow/Keras that achieved 97% accuracy. Implemented data augmentation, model optimization, and real-time inference.
AI-Based Dyslexia Screening & Support System
June 1, 2026 – Present
Developed a multimodal AI system for early dyslexia detection using ML and deep learning models including CNN, SVM, and Random Forest. Implemented data preprocessing, model evaluation, and Python-based APIs using Flask/FastAPI.
Agentic AI-Based RAG Chatbot
June 1, 2026 – Present
Developed an AI-powered chatbot using Retrieval-Augmented Generation (RAG) to provide accurate answers from documents. Integrated vector databases, embedding models, and large language models for semantic search and intelligent responses. Designed simple agent workflows to support multi-step reasoning and scalable backend processing.
Introduction to Data Analytics using Microsoft Excel
Unknown
June 1, 2026 – Present
Introduction to Git and GitHub
Unknown
June 1, 2026 – Present
Google Cloud Data Analytics Certificate
Google Cloud
January 1, 2025 – Present
Google Cloud Career Launchpad Computing Foundations Track
Google Cloud
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a strong interest and practical application in diverse AI domains (dyslexia screening, deepfake detection, RAG chatbots, legal document retrieval). This breadth of exposure and continuous learning aligns well with an innovative and research-oriented culture. The focus on real-world problem-solving (e.g., multilingual legal document retrieval) suggests a results-oriented mindset.
Soft Skills & Operational Fit
The candidate lists problem-solving, team collaboration, analytical thinking, adaptability, and time management as soft skills. These are crucial for an AI Engineer role, especially in collaborative development environments. The project descriptions indicate an ability to work on complex, multi-faceted problems, suggesting good operational fit.