
Prototyping Solutions Architect @ AWS FSI | Software Developer | Data Analytics and ML/AI enthusiast | 10x AWS Certified
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Assessing your cultural and operational fit
Amazon Web Services
Data Scientist
June 29, 2026 – Present
synthetic-card-transactions-data-generator-with-aws-batch
January 22, 2026 – Present
A synthetic payment data generator using AWS Batch and Fargate. Generates realistic transaction data across 3 tables (authorization, clearing, chargeback) with matching 3 hash tables (authorization_hash, clearing_hash, chargeback_hash), partitioned by date in S3.
View Projectguidance-for-developing-data-and-ai-foundation-with-amazon-sagemaker
March 27, 2025 – Present
DAIVI is a reference solution with IAC modules to accelerate development of Data, Analytics, AI and Visualization applications on AWS using the next generation Amazon SageMaker Unified Studio. The goal of the DAIVI solution is to provide engineers with sample infrastructure-as-code modules and application modules to build their data platforms.
View Projectcreate-agent-and-kb
July 11, 2024 – July 11, 2024
Amazon Bedrock Agent that creates another agent and Amazon Bedrock Knowledge Base based on user's prompt.
View Projectgen-ai-movie-poster-moderator
March 15, 2024 – August 21, 2024
Flag poster that are not in semantic compliance with custom policies using Gen AI.
View Projectopensearch-dynamodb-etl-cdk
December 13, 2023 – December 15, 2023
Amazon DynamoDB zero-ETL integration with Amazon OpenSearch Service using Amazon OpenSearch Ingestion and AWS CDK.
View Projectopensearch-embeddings-cdk
November 16, 2023 – January 3, 2024
RAG (Retrieval-augmented generation) framework implementation example using AWS OpenSearch Serverless service as a Vector DB. Run commands against indices stored in OpenSearch collection using Jupyter notebook in AWS SageMaker. Deployed using AWS CDK for Python.
View Projectbedrock-agents-cdk
November 16, 2023 – September 2, 2024
Custom AWS CDK Constructs written in Typescript and transpiled to Go and Python using jsii. The project is open-sourced and published to npm package repository and Construct Hub. Using these constructs developers can easily integrate provisioning of Amazon Bedrock Agents and Amazon Knowledge Bases into their infrastructure.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong inclination towards personal, self-driven projects, many of which are open-source contributions. This suggests a proactive, learning-oriented individual who is passionate about technology. The projects are highly relevant to the target role of Data Scientist, especially within an AWS-centric environment. However, the lack of team-based projects or explicit collaboration descriptions makes it difficult to fully assess cultural fit in a collaborative team setting. The candidate's experience level is listed as 0, which contradicts the depth and complexity of their projects and their current role at Amazon Web Services. This discrepancy needs clarification.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and ability to deliver complex solutions, but direct evidence of collaboration, problem-solving under pressure, or communication style is not available.