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AI Engineer with 1+ years in AI, Machine Learning & Python
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 and Data Science student with a strong foundation in Python, machine learning, and natural language processing. Eager to apply analytical and development skills to real-world challenges, evidenced by projects in data analytics, question-answering systems, and medical report summarization. Seeking to contribute to innovative projects and grow in a dynamic environment.
Karpagam College of Engineering
Bachelor of Technology · Artificial Intelligence and Data Science
November 1, 2022 – May 1, 2026
Mphasis
Associate Software Engineer Intern
February 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Automated Medical Report Summarizer
March 1, 2026 – June 1, 2026
Developed an AI-powered web application for X-ray disease prediction and automated medical report summarization using Python, Flask, CNN, and LLMs. Implemented OCR and image processing using OpenCV and Tesseract OCR to extract medical information from radiology images and generate AI-based summaries. Integrated a medical chatbot using LangChain and RAG, along with an interactive frontend for image upload, disease prediction, and downloadable PDF reports.
Document-based Question Answering System
August 1, 2025 – June 1, 2026
Built an AI-powered Question Answering System using Python, LangChain, and Large Language Models (LLMs) to retrieve insights from unstructured documents. Implemented semantic search and vector similarity retrieval using Pinecone Vector Database and Retrieval-Augmented Generation (RAG). Developed Flask APIs and integrated frontend components to enable real-time query processing and context-aware responses.
Spotify Track Data Analytics
April 1, 2025 – June 1, 2026
Developed a data analytics pipeline using Python, Spotipy API, PostgreSQL, and Pandas to extract, transform, and store Spotify track metadata. Designed and implemented ETL workflows for automated data ingestion, API integration, data validation, and error handling for multiple track URLs. Performed exploratory data analysis (EDA) and optimized PostgreSQL queries for efficient reporting, visualization, and analytics operations.
Introduction to Machine Learning
NPTEL
June 1, 2026 – Present
Data Science using Python
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in applying AI to various domains, including document processing, healthcare, and data analytics. This diversity, coupled with an internship in software engineering focusing on AI-based financial analysis, indicates a broad skill set and adaptability. The target role of 'AI Engineer' aligns well with the candidate's demonstrated technical interests and project work, suggesting a good cultural fit for an innovation-driven environment. However, the experience level is very junior, which might require significant mentorship.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying AI/ML concepts through academic projects. The internship experience suggests an ability to contribute to data processing and automation tasks. However, without specific psychometric test results, it's difficult to assess logical reasoning, work attitude, stress handling, or team collaboration directly.