Data Engineer | AWS & Google Cloud Certified | ML & Data Pipeline Specialist | Data Engineering Content Creator (Substack)
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Boston University
Data Engineer
June 15, 2026 – Present
claims-guardian-ai
November 8, 2025 – November 11, 2025
A multi-agentic AI system built using LangGraph and Anthropic Claude to automate medical bills validation in the USA
View ProjectLinkedIn-Post-Generator
April 1, 2025 – July 9, 2025
A Model Context Protocol (MCP) server that automates generating LinkedIn post drafts from YouTube videos. This server provides high-quality, editable content drafts based on YouTube video transcripts.
View ProjectYT-to-LinkedIn-MCP-Server
April 1, 2025 – April 1, 2025
YT-to-LinkedIn-MCP-Server — GitHub repository
View ProjectBootCamp_RAG_Assistant
February 11, 2025 – February 13, 2025
BootCamp_RAG_Assistant — GitHub repository
View ProjectGoogle-Docs-Download-Automation
February 8, 2025 – February 13, 2025
Google-Docs-Download-Automation — GitHub repository
View Projectemployee-performance-analysis-using-R
October 2, 2024 – October 7, 2024
employee-performance-analysis-using-R — GitHub repository
View Projectresume-tailor-automation
September 21, 2024 – September 29, 2024
resume-tailor-automation — GitHub repository
View ProjectHR-Analytics-Using-SQL-and-Tableau
April 21, 2024 – April 21, 2024
HR-Analytics-Using-SQL-and-Tableau — GitHub repository
View ProjectRAG_Application_Using_LLMs
December 16, 2023 – December 16, 2023
RAG_Application_Using_LLMs — GitHub repository
View ProjectData_Driven_Rider_Conversion_Initiative
November 17, 2023 – November 17, 2023
Data_Driven_Rider_Conversion_Initiative — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on AI/ML and automation. While demonstrating initiative, the lack of team-based projects or diverse industry exposure makes it difficult to fully assess cultural fit. The target role is Data Engineer, and while some projects touch upon data, the primary focus appears to be on application development and AI, which may require a shift in focus for a pure data engineering role. The listed 'experience' at Boston University as a Data Engineer starting in 2026 suggests a future aspiration rather than current professional experience, making it difficult to assess alignment with immediate professional expectations.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed 'experience' is a future role starting in 2026, which suggests a lack of professional work history. Project descriptions are brief, limiting insight into communication style or collaboration.