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AI Engineer with less than a year in Machine Learning models, web development, and cloud platforms.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Computer Science Engineer skilled in Python, SQL, and full-stack development, with hands-on experience in building AI/ML models and deploying end-to-end web applications on cloud platforms. Adept at transforming complex data into actionable insights and delivering scalable software solutions.
University College of Engineering Villupuram
B.E. Computer Science and Engineering · Computer Science and Engineering
N/A – June 30, 2025
Infosys Springboard
Artificial Intelligence & Machine Learning Intern
July 1, 2025 – Present
India
Real-Time Tuberculosis Diagnosis
March 1, 2025 – April 30, 2025
Engineered and deployed a full-stack web application enabling users to upload chest X-rays for automated Tuberculosis detection. Integrated Efficient Net-B7 deep learning model achieving high diagnostic accuracy, improving medical image classification performance. Implemented Explainable AI (Grad-CAM) to generate visual insights, enhancing model interpretability and clinician trust. Developed RESTful APIs with Flask, SQL database, and deployed on AWS EC2, ensuring scalability, real-time processing, and production readiness.
Market Basket Insights
September 1, 2023 – August 31, 2025
Preprocessed 55,000+ transactions ensuring high data quality and integrity. Applied the Apriori Algorithm in Python, achieving 95% accuracy in frequent itemset detection and reducing processing time by 40%. Visualized product frequency patterns, driving targeted campaigns that boosted sales revenue by 15% within three months.
Google Data Analytics Certificate
Coursera
January 1, 2024 – Present
Database Management System
Infosys Springboard
January 1, 2024 – Present
Investigation and Prediction of Itemsets Frequency Using Machine Learning Techniques.
IGI Global
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects and internship demonstrate a strong interest and practical application in AI/ML, aligning well with an AI Engineer role. The diversity of projects, from medical image diagnosis to sentiment analysis and market basket analysis, shows adaptability and a broad understanding of AI applications. Their proactive pursuit of certifications and a publication indicates a self-driven and growth-oriented mindset, which is a good cultural fit for dynamic technical teams. The use of various tools and frameworks (Flask, FastAPI, AWS, MongoDB, SQL) suggests a willingness to learn and adapt to different technological stacks.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through project execution, particularly in optimizing data processing and improving diagnostic accuracy. Their ability to translate complex data into intuitive visualizations (Emotion Bubble Explorer, Market Basket Insights) suggests good communication and user-centric design thinking. The publication and certifications indicate a proactive learning attitude and commitment to continuous skill development. The academic projects and internship show an ability to work independently and deliver end-to-end solutions.