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AI Engineer at Amazon | Agentic AI | Multi-Agent Orchestration | LLM | RAG | Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amazon
Frontend Developer
June 20, 2026 – Present
invoice-parser
April 24, 2026 – Present
AI-powered invoice extraction — AWS Bedrock + Strands Agents, mandatory worker verification, RLHF feedback loop
View Projectmemory-agent
April 12, 2026 – Present
AI agent that never forgets — LangGraph + Claude + persistent memory. 3 memory types, proof report included.
View Projectcareer-agent
April 6, 2026 – Present
AI-powered LinkedIn job search automation — auto-apply, lead finder, daily posts, job scoring
View Projectrag-pipeline-eval
March 24, 2026 – Present
LangChain + FAISS + Bedrock RAG system with automated RAGAS quality scoring
View Projectmulti-agent-task-planner
March 24, 2026 – Present
LangGraph + AWS Bedrock multi-agent system with 4 specialized AI agents for goal decomposition and execution planning
View Projectllm-prompt-optimizer
March 24, 2026 – Present
Automated prompt testing framework - evaluates variants on accuracy, token usage, cost
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AI/ML and backend development, with limited explicit frontend-focused projects. While there are projects using JavaScript, CSS, HTML, and TypeScript, the descriptions do not detail complex frontend challenges or design patterns. This suggests a potential mismatch with a dedicated 'Frontend Developer' role, as the primary interest and demonstrated depth appear to be in AI/ML and Python. The candidate's current role at Amazon as a 'Frontend Developer' is listed as starting in the future (2026), so it cannot be used to assess current cultural fit or experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a proactive and self-directed approach to learning and development, particularly in AI/ML.