Friendly Neighborhood Engineer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
American Express
Frontend Developer
June 20, 2026 – Present
RADAR
April 3, 2026 – Present
RADAR is a production-quality, LangGraph-powered agent that automatically reviews GitHub Pull Requests. It fetches the PR diff, runs two parallel AI analysis passes (general code quality + SQL/Airflow DAG-specific), presents a structured review, pauses for your approval, and — if you say yes — posts the review directly back to GitHub.
View ProjectFLARE
April 3, 2026 – Present
FLARE (Failure Log Airflow Response Engine) is a lightweight, self-hosted AI triage agent for data engineering teams running Apache Airflow.
View ProjectLangSwap
February 19, 2025 – April 27, 2025
LangSwap is an advanced language translation system that enables seamless communication across different languages. The project primarily focuses on audio-to-audio translation, allowing users to speak in one language and hear the translated output in another.
View ProjectScalaLineageParser
February 4, 2025 – February 8, 2025
ScalaLineageParser — GitHub repository
View Projectai_chat_assist
February 2, 2025 – February 2, 2025
This is a simple streamlit app which creates a UI for DeepSeek R1 32B model via Krutrim
View Projectspark_2_sql
December 3, 2024 – Present
A repository for converting Spark DataFrame API code to SQL
View ProjectCultural Fit Analysis
The candidate's projects are diverse, covering areas like AI agents, language translation, and data engineering tools, which indicates a broad interest. However, the majority of projects are Python-centric with minimal explicit frontend frameworks or libraries, which might not align perfectly with a dedicated 'Frontend Developer' role requiring deep expertise in modern frontend ecosystems. The future-dated experience entry makes it difficult to assess current cultural fit based on professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test results to evaluate communication or work attitude.