AI Engineer with 2+ years in Healthcare AI & Data Science.
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Assessing your cultural and operational fit
Data Analyst and AI Analyst with 2+ years of experience in Healthcare AI, machine learning, and data science. Expert in Python, SQL, TensorFlow, Tableau, and Power BI. Proven track record of delivering end-to-end ML pipelines, curating 10,000+ medical imaging datasets, and driving diagnostic accuracy improvements. Hackathon award winner; built a pneumonia detection model achieving 81.8% test accuracy using ResNet50 transfer learning. Passionate about turning complex data into actionable business insights.
Govt. College of Technology, Coimbatore
B.Tech · Industrial Biotechnology
August 1, 2020 – June 30, 2024
5C Network
AI Analyst / Data Analyst
April 1, 2024 – Present
Bengaluru, Karnataka, India
DecodeX - AI Radiology Report Simplifier
January 1, 2024 – January 1, 2024
Co-developed an NLP-powered AI tool that translates complex radiology reports into simplified summaries in 12+ languages, improving patient health literacy and accessibility. Integrated n8n automation with Twilio WhatsApp API to deliver reports directly to patients, reducing report delivery time by 60%.
Chest X-Ray Pneumonia Detector
January 1, 2024 – January 1, 2024
Designed and trained a ResNet50 transfer learning model using TensorFlow and Keras on 5,000+ labelled chest X-ray images to classify Normal vs. Pneumonia cases. Achieved 81.8% test accuracy with optimised hyperparameters, demonstrating strong performance as a diagnostic decision-support tool.
About To Know AI
January 1, 2024 – January 1, 2024
Built a beginner-friendly AI education platform using OpenAI Codex, enabling 500+ non-technical users to understand core machine learning and data science concepts interactively.
Hackathon Winner (DecodeX - Forge AI Hackathon)
Forge AI Hackathon, Nova Benefits & 5C Network
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects and experience show a strong alignment with the target role of an AI Engineer, particularly within the healthcare domain. Their involvement in diverse projects, from NLP-powered report simplification to medical image classification and educational platforms, indicates a broad interest in AI applications. The focus on improving patient health literacy and diagnostic accuracy suggests a mission-driven approach, which could be a good cultural fit for organizations focused on impact.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project work and hackathon participation. Their experience in standardizing workflows and developing productivity tools suggests an operational mindset focused on efficiency. Collaboration with AI engineering teams and contributing to model retraining cycles indicates good teamwork potential. The ability to simplify complex radiology reports for patients also highlights user-centric thinking.