AI Engineer with 1+ years in Machine Learning & Deep Learning
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M.Sc. in Computer Science (AI & ML) candidate with advanced hands-on experience designing, training, and deploying end-to-end Machine Learning systems, Deep Learning architectures, and automated AI solutions. Formally certified in Generative AI and LLM foundations, with deep proficiency in Python, predictive modeling, data preprocessing pipelines, and intelligent API integrations. Proven ability to build high-performance automation frameworks and adapt quickly to emerging AI technologies.
Rajiv Gandhi National Institute of Youth Development (RGNIYD)
M.Sc. in Computer Science · Artificial Intelligence & Machine Learning
August 1, 2024 – June 30, 2026
Peekay CICS Arts and Science College
B.Sc. in Computer Science · Computer Science
August 1, 2021 – June 30, 2024
SafeGuard: Multi-Modal Intelligent Automation & Safety Framework
January 1, 2024 – December 31, 2025
Engineered an autonomous AI safety framework featuring multi-modal parallel inference queues via daemon threads, achieving real-time processing under 100ms. Designed and evaluated a late-fusion risk scoring model combining computer vision and acoustic classification, successfully lowering systemic false alarm thresholds by ~40%. Integrated automated communication pipelines using the Telegram Bot API to securely route structured alert packets containing geospatial metrics and forensic frames.
Heart Failure Risk Prediction & Analytics Pipeline
January 1, 2024 – December 31, 2024
Built comprehensive machine learning data-processing and predictive pipelines for classification, regression, and clustering on clinical data metrics. Optimized classical algorithms including Logistic Regression and K-Means to achieve 88% classification accuracy.
Handwritten Digit Recognition Pipeline (CNN)
January 1, 2023 – December 31, 2023
Developed and tuned a Convolutional Neural Network (CNN) on the MNIST dataset, hitting a 98.5% test accuracy mark while running hyperparameter tuning and model evaluation sweeps.
Certified Generative AI Professional & OCI AI Foundation Associate
Oracle
January 1, 2025 – Present
What is Generative AI?
LinkedIn Learning
January 1, 2024 – Present
Introduction to Responsible AI
Google Cloud
January 1, 2024 – Present
ChatGPT for Excel
Great Learning Academy
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical applications of AI/ML, including safety frameworks and predictive analytics, which aligns with problem-solving and innovation. The certifications in Generative AI and Responsible AI indicate a proactive approach to learning and staying current with industry trends. The academic background and project diversity suggest a good foundation for an AI Engineer role. However, the lack of professional experience means cultural fit is primarily inferred from academic projects and certifications.
Soft Skills & Operational Fit
The candidate's resume highlights participation in the National Service Scheme, indicating a potential for teamwork and community involvement. However, the psychometric test score is low (165/500), which might suggest areas for development in logical reasoning, work attitude, stress handling, or team collaboration. More data would be needed to fully assess operational fit.