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Exploring the unexplored!
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Assessing your cultural and operational fit
WasteManagement
February 15, 2026 – Present
SUTHAM – AI municipal waste intelligence on AWS (Nova Pro, Location, S3, App Runner) that turns field photos into dispatch‐ready cleanup tickets in under 10 seconds.
View Projectsnake-game
January 29, 2026 – Present
A modern Snake game built with Next.js, TypeScript, and Canvas
View ProjectAIonEKS-platform
November 9, 2025 – November 9, 2025
A platform to configure and build scalable ML workloads on Kubernetes Platform through Amazon EKS
View ProjectML-AI-Projects
February 23, 2025 – March 5, 2025
Projects built and deployed using AWS platform
View Projectprawinsankar-ta.github.io
December 4, 2022 – December 5, 2022
prawinsankar-ta.github.io — GitHub repository
View ProjectTurtlebot2_Experiments
October 13, 2022 – December 5, 2022
Turtlebot2_Experiments — GitHub repository
View Projectdeep-Unet-Satellite-Img-Segmentation
April 18, 2021 – April 18, 2021
A deep learning project utilizing the Deep UNet architecture for semantic segmentation of satellite imagery. This model is designed to process and analyze agricultural datasets, enabling applications like crop yield estimation and land cover mapping.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal projects, indicating self-motivation and a passion for learning and building. The diversity of projects, from LLM deployment to reinforcement learning and satellite image segmentation, suggests a broad interest in various AI/ML domains. However, without information on team-based projects or professional experience, assessing collaboration and adaptability to a structured team environment is challenging. The target role is 'Data Scientist', and many projects align with this, particularly those involving ML/AI on AWS and deep learning. The candidate's experience level is 0, which suggests this is an entry-level or aspiring role, making the breadth of personal projects a positive indicator of initiative.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.