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Software Engineer @ Teradata
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Teradata
Data Scientist
June 25, 2026 – Present
bedrock-finops
February 12, 2026 – Present
This is a Bedrock based FinOps Project. It enables trackage of AWS Bedrock model invocation costs at a granular level using custom tagging, enabling per-account and per-model cost analysis in a multi-tenant environment.
View Projectvelocity-plus
February 12, 2026 – Present
Velocity Plus is an teradata focused, multi-agent AI system designed for internal use that automates three of the most time-consuming work activities across our engineering organization. This is not a customer-facing product rather an internal productivity multiplier that demonstrates the power of AI agents in streamlining repetitive tasks.
View Projectlambda-dependencies-manual-deployment
October 10, 2023 – October 11, 2023
Manual deployment of a lambda with dependencies
View Projectlearn-terraform
October 9, 2023 – October 11, 2023
Automation of services using terraform
View Projectlearn-kubernetes
August 21, 2023 – August 28, 2023
Developed node apps and performed k8s operations.
View ProjectParkinsons-DATscan-CNN-Comparison
May 21, 2023 – May 21, 2023
Early Detection of Parkinson's Disease Using DATscan Imagery: A Comparative Analysis of AlexNet and VGG 16 & VGG 19 CNN Models
View Projectatcs-laboratory
May 13, 2023 – May 13, 2023
This repository is meant to train and test LeNet and MLP CNN Models on adversial attack like fgsm and then usage of defense algorithm to minimize effect of attack.
View Projectfashion-nova
September 3, 2022 – April 3, 2023
This repository is meant to develop an admin dashboard to manage a B2C Ecommerce IT. It comes with ability to manage users and product stats, etc. in real-time.
View Projectwe-chat
July 28, 2022 – April 3, 2023
This repository is meant to develop a real-time multi-user conversation app based sockets and web socket protocol
View Projectscribble-digit-recognition
May 31, 2022 – April 3, 2023
This repository is meant to develop a logistic classifier that uses MNIST dataset. It is proficient to recognize digit images written carelessly with an accuracy of 98+ %.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across diverse technical domains, including AI/ML, web development, and DevOps. This indicates a curious and self-driven individual. However, the projects are predominantly personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit in a collaborative enterprise environment. The target role is Data Scientist, and while many projects align, the breadth also suggests a generalist tendency rather than deep specialization in a single area.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive approach to learning and applying various technologies.