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Summary / 簡介: An AI and research engineer with expertise in large language models, RAG pipelines, and distributed systems. A skilled developer with a proven track record in building agentic AI platforms, optimizing LLM inference, and deploying scalable production-grade applications.","fieldKeys":["summary"]},{"id":"skills:0","type":"skills","ordinal":0,"locale":"zh","text":"AI / Research Engineer. Skills / 技能: Python, C++, TypeScript, JavaScript, SQL, Go, Dart, Bash, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Large Language Models, Fine-Tuning, Model Deployment, MLOps, Hugging Face Transformers, TensorFlow, scikit-learn, XGBoost, OpenCV, LlamaIndex, OpenAI, Embeddings, Vector Databases, FAISS, Pinecone, Semantic Search, REST APIs, Node.js, React, Flask, API Design, Authentication & Authorization, Concurrency, Caching Strategies, Kubernetes, Terraform, Infrastructure as Code, GCP, Bitbucket Pipelines, Linux, Git, MongoDB, Redis, pandas, NumPy, ETL, Data Modeling, Data Warehousing","fieldKeys":["skills"]},{"id":"discovery:0","type":"discovery","ordinal":0,"locale":"zh","text":"AI / Research Engineer. Role / 職稱: AI / Research Engineer. Experience / 年資: 2 years experience. Expertise / 專長: Python, C++, TypeScript, JavaScript, SQL, Go, Dart, Bash, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision","fieldKeys":["headline","years_experience","skills"]},{"id":"experience:0","type":"experience","ordinal":0,"locale":"zh","text":"AI / Research Engineer. Experience / 經歷: AI / Research Engineer at Otsuka Corporation. May ’26 to July ’26. Developed an end-to-end AI sales copilot and RAG-grounded LLM chat while optimizing distributed LLM inference on NVIDIA Grace-Blackwell hardware.","fieldKeys":["experiences"]},{"id":"experience:1","type":"experience","ordinal":1,"locale":"zh","text":"AI / Research Engineer. Experience / 經歷: Claude Campus Ambassador at Anthropic. Jan ’26 to May ’26. Facilitated campus hackathons and workshops to promote the adoption of Claude AI and agentic coding tools among students.","fieldKeys":["experiences"]},{"id":"experience:2","type":"experience","ordinal":2,"locale":"zh","text":"AI / Research Engineer. Experience / 經歷: AI and Product Engineer at Rebel Foods. Feb ’26 to May ’26. Architected an AI-powered operations analytics platform using distributed autonomous agents to replace manual workflows for over 400 users.","fieldKeys":["experiences"]},{"id":"experience:3","type":"experience","ordinal":3,"locale":"zh","text":"AI / Research Engineer. Experience / 經歷: AI and Systems Engineer at Longani Consulting. May ’25 to Sep ’25. Built a scalable consultant-facing RAG chatbot using GPT-4 and LangChain to extract structured insights from proprietary legal and consulting documents.","fieldKeys":["experiences"]},{"id":"experience:4","type":"experience","ordinal":4,"locale":"zh","text":"AI / Research Engineer. Experience / 經歷: Manager, AI Community at Institute Technical Council, IIT Bombay. Apr ’24 to present. Led a team of engineers in developing AI-driven student tools and established a robust DevOps culture for the institute's technical projects.","fieldKeys":["experiences"]},{"id":"education:0","type":"education","ordinal":0,"locale":"zh","text":"AI / Research Engineer. Education / 學歷: B.S.. Economics. Indian Institute of Technology (IIT) Bombay","fieldKeys":["educations"]},{"id":"project:0","type":"project","ordinal":0,"locale":"zh","text":"AI / Research Engineer. Project / 專案: Negotiator AI. Built with / 使用技術: LangGraph, WebRTC, WebSockets, ChromaDB, MCP. A multi-agent platform featuring a 6-agent negotiation committee coordinated through a dependency-aware execution DAG with real-time voice loop capabilities.","fieldKeys":["projects"]},{"id":"project:1","type":"project","ordinal":1,"locale":"zh","text":"AI / Research Engineer. Project / 專案: RL Environment for Drift-Robust LLM Agents. Built with / 使用技術: PyTorch, Unsloth, TRL, GRPO. Developed an OpenEnv-compatible RL Gym to train agents against schema-drift failures using raw MCP/A2A wire-protocol frames.","fieldKeys":["projects"]},{"id":"project:2","type":"project","ordinal":2,"locale":"zh","text":"AI / Research Engineer. Project / 專案: Realtime Credit-Scoring & Fraud Engine. Built with / 使用技術: Pathway, Apache Kafka, AWS ECS, gRPC. Engineered a fault-tolerant streaming pipeline processing over 1 million daily transactions with sub-50ms latency.","fieldKeys":["projects"]},{"id":"project:3","type":"project","ordinal":3,"locale":"zh","text":"AI / Research Engineer. Project / 專案: Bi-Directional ISL Translator. Built with / 使用技術: PyTorch, ONNX, MediaPipe. Created a bidirectional Indian Sign Language to text/speech converter using a custom Seq2Seq neural network with edge-optimized inference.","fieldKeys":["projects"]},{"id":"discovery:1","type":"discovery","ordinal":1,"locale":"zh","text":"AI / Research Engineer. 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