{"canonicalUrl":"https://humetric.net/p/profile-f81e61c37a3a4066ba194198e754d13f","profileVersion":"24a36a02-a108-4cb1-b1a9-b202c56163d2","lastUpdated":"2026-08-05T14:03:59.49624+00:00","profile":{"display_name":"Anonymous profile","last_updated":"2026-08-05","slug":"profile-f9ac6593197e41d5","headline":"AI Engineer","summary":"An AI engineer with 4 years of experience specializing in agentic systems, backend services, and full-stack development. This professional excels in building autonomous multi-agent pipelines, memory architectures, and evaluation harnesses to optimize performance and reduce operational costs. 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Summary / 簡介: An AI engineer with 4 years of experience specializing in agentic systems, backend services, and full-stack development. This professional excels in building autonomous multi-agent pipelines, memory architectures, and evaluation harnesses to optimize performance and reduce operational costs. They possess a strong background in core banking systems and scalable software engineering.","fieldKeys":["summary"]},{"id":"skills:0","type":"skills","ordinal":0,"locale":"zh","text":"AI Engineer. Skills / 技能: Autonomous agents, AWS, ChromaDB, Claude API, Context engineering, Docker, FastAPI, JavaScript, Kafka, LangChain, LangGraph, MCP, Multi-agent orchestration, Next.js, Node.js, OpenAI API, pgvector, PostgreSQL, Python, RAG, React, Redis, SQL, Tailwind, Token optimization, Tool calling, TypeScript, Voice agents","fieldKeys":["skills"]},{"id":"discovery:0","type":"discovery","ordinal":0,"locale":"zh","text":"AI Engineer. Role / 職稱: AI Engineer. Experience / 年資: 4 years experience. 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Engineered high-throughput microservices for central banking platforms, focusing on real-time transaction processing and database performance optimization.","fieldKeys":["experiences"]},{"id":"experience:2","type":"experience","ordinal":2,"locale":"zh","text":"AI Engineer. Experience / 經歷: Python Developer at Skydrop Techpro Pvt Ltd. Apr 2021 to Jul 2022. Architected production REST APIs and developed custom e-commerce and CRM solutions while mentoring junior developers.","fieldKeys":["experiences"]},{"id":"education:0","type":"education","ordinal":0,"locale":"zh","text":"AI Engineer. Education / 學歷: M.S.. Information Technology. Saint Francis College","fieldKeys":["educations"]},{"id":"education:1","type":"education","ordinal":1,"locale":"zh","text":"AI Engineer. Education / 學歷: B. Tech. Computer Science. Krishna University","fieldKeys":["educations"]},{"id":"project:0","type":"project","ordinal":0,"locale":"zh","text":"AI Engineer. Project / 專案: SaaS Factory - Multi-Agent System with Risk-Tiered Tool Calling. Built with / 使用技術: Python. Architected a framework-agnostic multi-agent engine with risk-scoring middleware to classify and validate tool execution for automated workflows.","fieldKeys":["projects"]},{"id":"project:1","type":"project","ordinal":1,"locale":"zh","text":"AI Engineer. Project / 專案: Fluxo - Agentic code generator. Built with / 使用技術: Python, LangGraph, ChromaDB, Docker, Flutter, React, OpenAI API. Built a stateful agentic system using LangGraph and RAG to generate cross-platform applications with self-correction mechanisms.","fieldKeys":["projects"]},{"id":"project:2","type":"project","ordinal":2,"locale":"zh","text":"AI Engineer. Project / 專案: AI Job Hub - Application Tracker with Email. Built with / 使用技術: Python, FastAPI, PostgreSQL, pgvector, Next.js, Gmail OAuth, AWS. Developed an LLM-based entity-extraction pipeline and supervisor orchestration pattern to automate job application tracking and analytics.","fieldKeys":["projects"]},{"id":"discovery:1","type":"discovery","ordinal":1,"locale":"zh","text":"AI Engineer. Approved discovery query / 核准搜尋語句: AI Engineer","fieldKeys":["headline","desired_queries"]},{"id":"discovery:2","type":"discovery","ordinal":2,"locale":"zh","text":"AI Engineer. Approved discovery query / 核准搜尋語句: Autonomous agents LangGraph LangChain","fieldKeys":["headline","desired_queries"]}]}