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Software Developer | AWS | Data Analytics | Full-Stack & Embedded Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
swarm-agent-pattern
February 10, 2026 – Present
A collaborative agent orchestration system where multiple agents work together as a team to solve complex tasks.
View ProjectMeta-tooling-in-Strands-Agents
January 28, 2026 – Present
The agent can create new tools at runtime (write a new Python tool file), load it into its tool registry, and then immediately use it.
View Projectleetcode-practice-nc150
January 18, 2026 – Present
Collection of LeetCode questions to ace the coding interview! - Created using [LeetHub-3.0](https://github.com/raphaelheinz/LeetHub-3.0)
View Projectchatbot-with-deepeval-ci-evaluation
November 27, 2025 – November 27, 2025
Monorepo combining chatbot code, DeepEval test suites, and CI/CD configuration, providing an example of how to ship an LLM-based chatbot safely with automated evaluation gates and historical metric tracking.
View Projectmlops-iris-pipeline
August 5, 2025 – August 18, 2025
mlops-iris-pipeline — GitHub repository
View ProjectSpotify-AWS-Data-Engineering
March 3, 2025 – March 3, 2025
End-to-End Spotify Data Pipeline using AWS Glue, Athena & QuickSight
View Projectaws-quicksight-dynamodb-analytics
March 3, 2025 – March 3, 2025
Visualizing DynamoDB data using AWS QuickSight, Athena, and Lambda Connector.
View ProjectData-Science-Intern-Assignment-Zeotap
January 31, 2025 – February 2, 2025
Performed EDA, applied clustering algorithms, and conducted lookalike modeling on an eCommerce dataset, followed by report generation.
View ProjectHousehold-V2
November 28, 2024 – December 3, 2024
A platform connecting household service providers with customers, enabling smooth service requests and feedback management. Integrated VueJS, Flask, Redis, Celery, SQLite, HTML, and CSS to deliver a user-friendly experience.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration across various technical domains, including data science, MLOps, AWS data engineering, and even full-stack development. This indicates a proactive and self-driven individual. However, the lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural alignment within a structured team environment. The diversity of projects suggests adaptability and a broad interest in technology, which can be a positive for cultural fit in an innovative environment, but also might indicate a lack of deep specialization without further validation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.