Computer/Information Science Engineer Student | Future-ready Cloud & AI Automation Enthusiast
- 🔬 Bridging AI research with scalable product development
- 🚀 Driving innovation in ML, cloud, and automation for real-world impact
- 🌐 Strong communicator; passionate about collaboration and continuous learning
Open to opportunities in: AI/ML Engineering • Full-Stack Development • Cloud Solutions • Technical Leadership
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Programming:
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AI & Machine Learning:
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Cloud Platforms:
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Development Tools:
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Databases:
Comprehensive machine learning project predicting house prices from multiple features with rigorous EDA, outlier detection, and hyperparameter tuning. Implements linear regression and documents performance metrics (MAE, RMSE) in Jupyter notebooks. Includes visual analytics (scatter plots, correlation matrices) and notebook-based workflow for reproducibility.
Real-time attendance logging using face recognition and camera feeds. Detects and identifies individuals from live video, tagging attendance to a database with accuracy checks. Features robust face detection pipeline, automated daily CSV/Excel log export, and user-friendly UI logic suited for school or workplace deployment.
AI-based solution for early detection of forest fires combining satellite image processing and environmental data. Uses supervised learning techniques for classification and risk prediction, benchmarks model accuracy and confusion matrix, and visualizes geographic hotspots. Designed to integrate with real-time alert systems for proactive disaster management.
End-to-end project analyzing and forecasting Delhi’s air quality data. Aggregates multi-source AQI datasets, performs time series decomposition, and develops trend/cycle forecasting models. Generates interpretable interactive charts and heatmaps for data-driven urban environment insights, supporting public health reporting.
For more, visit my full GitHub portfolio.
- NVIDIA Certified Associate: Generative AI & LLMs - Demonstrated expertise in leveraging large language models and generative AI architectures for real-world applications
- Microsoft Certified: Power Platform Fundamentals - Proficient in Power Apps, Power Automate, and Power BI for business solutions
- Microsoft Certified: Azure Fundamentals - Foundation-level knowledge of Azure cloud services and infrastructure
- Microsoft Certified: Azure Data Fundamentals - Expertise in data concepts, data analytics, and BI fundamentals on Azure
- Oracle Certified: Data Science Professional - Demonstrated knowledge of ML algorithms, data preprocessing, and model evaluation
- Oracle Certified: Generative AI Professional - Specialized skills in implementing generative AI solutions on Oracle Cloud
✅ Machine Learning Projects: Developed 4+ production-grade ML models with >85% accuracy in classification tasks ✅ Real-Time Computer Vision: Built facial recognition and forest fire detection systems using OpenCV and deep learning ✅ Cloud Infrastructure: Architected and deployed cloud solutions on Azure, GCP, and Oracle Cloud platforms ✅ Time Series Analysis: Implemented advanced forecasting models for air quality and environmental data ✅ Full-Stack Development: Created end-to-end web applications using React, Node.js, MongoDB, and modern DevOps practices ✅ Code Contributions: Consistent GitHub activity with 100+ commits demonstrating continuous learning and improvement ✅ Technical Documentation: Maintained comprehensive README files and project documentation for portfolio projects
- Google Cloud Skills Boost: Advanced practitioner with multiple cloud certifications
- Proficient in Data Science, Machine Learning, Cloud Computing, and Full-Stack Development
- Strong expertise in Python, JavaScript, and modern development tools
✨ "Innovation through Intelligence • Impact through Code • Future through AI" ✨