Experience
System Administrator Intern
Working as a System Administrator Intern, managing GPU rack servers and supporting lab infrastructure.
Key Achievements:
- Ongoing internship; responsibilities include managing GPU servers and maintaining lab infrastructure
Research Intern
Built an oral cancer detection system using MobileNet and VNet; implemented GradCAM and LIME for interpretability. Developed a web-based tool for doctors to analyze affected areas due to cancer.
Key Achievements:
- Developed an oral cancer detection system using MobileNet and VNet
- Implemented GradCAM and LIME for model interpretability
- Created a web-based tool for doctors to analyze affected areas
- Improved accessibility of AI-based cancer detection for medical professionals
Edwin's Linux Lab Member
Working with the Edwin Lab team at Alvas Alumina, learning new skills, sharing ideas, and solving problems together in a supportive environment. Participated in open-source projects, Linux servers, networking, and conducted workshops.
Key Achievements:
- Worked on Linux systems, servers, and networking
- Collaborated with team members to solve technical challenges
Education
Bachelor of Engineering
Specialization: Artificial Intelligence and Machine Learning
CGPA: 8.0/10.0
Key Subjects:
Higher Secondary Education
Stream: Science (Physics, Chemistry, Mathematics)
Percentage: 80%
Main Subjects:
Secondary School Education
Board: State Board
Percentage: 86.40%
Main Subjects:
Projects
Oral Cancer Detection Pipeline
End-to-end ML pipeline for early detection of oral cancer using image datasets. Implemented data preprocessing, model training, experiment tracking, and deployment with MLOps tools to ensure reproducibility and scalability.
Chest Cancer Diagnosis Pipeline with MLflow and DVC
Built a reproducible chest cancer diagnosis pipeline using MLflow and DVC for experiment tracking and data versioning. Automated CI/CD pipeline with Docker and GitHub Actions, deployed on AWS, ensuring scalable and efficient deployment.
DeepSpaceImaging - Advanced Deep Learning for Satellite Image Processing
DeepSpaceImaging is an end-to-end deep learning project for processing, analyzing, and deploying satellite imagery across geospatial applications. Includes full workflow from advanced data preprocessing to model development and cloud deployment, enabling valuable insights from spaceborne data.
Spatial Intelligence
Spatial Intelligence is a geospatial analysis project focused on processing and visualizing geographic data. It uncovers spatial patterns and trends to address location-based challenges using data analysis and visualization techniques.
Real-Time Parking Space Recognition with MLOps Integration
AI-powered smart parking solution using deep learning and IoT cameras to detect available parking spots in real-time. Employs computer vision models to monitor parking lots, identify vacant spaces, and track occupancy, integrated with MLOps for automated deployment and monitoring.
2048 Docker Deployment
Dockerized deployment of the 2048 game using Ubuntu, Nginx, and containerization best practices. Enables easy setup and hosting of the game locally or on cloud platforms like AWS Elastic Beanstalk and Render.
Skills & Technologies
Programming Languages
Cloud Platforms
DevOps Tools
AI/ML
Certifications
Achievements
1st Place – Fusion Techathon 3.0
November 2024
National-level hackathon winner for developing an AI-based Intelligent Disaster Management System.
Speaker – STEM Workshop for Scouts & Guides
February 2023
Delivered a hands-on session on ATM technology to Scouts and Guides, fostering early exposure to STEM concepts.
Intelligent Parking Optimization System – Infosys DC
October 2024
Project selected and presented at Infosys DC, Bangalore during 'Celebrating Tech – AI in Action'.
Finalist – TCS TechBytes
January 2025
Selected among the top 10 out of 800 students in the TCS TechBytes tech quiz competition and qualified for the regional rounds.
RISE 2024 – AI & Defence Systems Workshop
February 2025
Attended the prestigious RISE 2024 workshop conducted by IIIT Bangalore, focusing on applications of Artificial Intelligence in Defence systems.
PING 2.0.2.5 – Digital Transformation, Intelligent Technology & Sustainability
March 2025
Attended a three-day workshop at Manipal Institute of Technology,Manipal on Digital Transformation and Agentic AI.
Publications
A comprehensive review on scaling Machine Learning workflows using Cloud Technologies and DevOps
IEEE Access
A comprehensive review that explores how cloud-native technologies and DevOps practices enable scalable, reliable, and compliant machine learning workflows. It emphasizes automation, resource optimization, and emerging approaches such as federated learning for production-grade ML systems.
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Inorganic Chemical Reaction Predictor Using Random Forest and Support Vector Machine
2025 International Conference on Artificial Intelligence and Data Engineering (AIDE)
An approach that leverages Random Forest and Support Vector Machine models to predict inorganic chemical reaction outcomes. It emphasizes data preprocessing, feature selection, performance evaluation, and delivers a graphical interface for user-friendly product prediction.
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