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I'm a dynamic data analyst with a focus on time-series data processing and AI/LLM engineering. I currently serve as an LLM developer intern at Ecobloom, where I help build domain-specific greenhouse LLMs and multi-agent tools to support energy-efficient and environment-smart decision-making for growers. I enjoy turning high-frequency sensor data into actionable insights and bridging NLP/ML with real-world domain knowledge. My background spans data engineering, NLP, and AI engineering. I design automated ETL pipelines, extraction layers, and RAG systems; I also develop dashboards and QA workflows to ensure robust, scalable data solutions. I thrive on translating complex data into clear reports and enabling domain experts to leverage powerful AI models.…I'm a dynamic data analyst with a focus on time-series data processing and AI/LLM engineering. I currently serve as an LLM developer intern at Ecobloom, where I help build domain-specific greenhouse LLMs and multi-agent tools to support energy-efficient and environment-smart decision-making for growers. I enjoy turning high-frequency sensor data into actionable insights and bridging NLP/ML with real-world domain knowledge. My background spans data engineering, NLP, and AI engineering. I design automated ETL pipelines, extraction layers, and RAG systems; I also develop dashboards and QA workflows to ensure robust, scalable data solutions. I thrive on translating complex data into clear reports and enabling domain experts to leverage powerful AI models.

Jun Zhou

Data Scientist, AI Engineer, AI Developer, +2

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I'm a dynamic data analyst with a focus on time-series data processing and AI/LLM engineering. I currently serve as an LLM developer intern at Ecobloom, where I help build domain-specific greenhouse LLMs and multi-agent tools to support energy-efficient and environment-smart decision-making for growers. I enjoy turning high-frequency sensor data into actionable insights and bridging NLP/ML with real-world domain knowledge. My background spans data engineering, NLP, and AI engineering. I design automated ETL pipelines, extraction layers, and RAG systems; I also develop dashboards and QA workflows to ensure robust, scalable data solutions. I thrive on translating complex data into clear reports and enabling domain experts to leverage powerful AI models.…I'm a dynamic data analyst with a focus on time-series data processing and AI/LLM engineering. I currently serve as an LLM developer intern at Ecobloom, where I help build domain-specific greenhouse LLMs and multi-agent tools to support energy-efficient and environment-smart decision-making for growers. I enjoy turning high-frequency sensor data into actionable insights and bridging NLP/ML with real-world domain knowledge. My background spans data engineering, NLP, and AI engineering. I design automated ETL pipelines, extraction layers, and RAG systems; I also develop dashboards and QA workflows to ensure robust, scalable data solutions. I thrive on translating complex data into clear reports and enabling domain experts to leverage powerful AI models.

Available to hire

I’m a dynamic data analyst with a focus on time-series data processing and AI/LLM engineering. I currently serve as an LLM developer intern at Ecobloom, where I help build domain-specific greenhouse LLMs and multi-agent tools to support energy-efficient and environment-smart decision-making for growers. I enjoy turning high-frequency sensor data into actionable insights and bridging NLP/ML with real-world domain knowledge.

My background spans data engineering, NLP, and AI engineering. I design automated ETL pipelines, extraction layers, and RAG systems; I also develop dashboards and QA workflows to ensure robust, scalable data solutions. I thrive on translating complex data into clear reports and enabling domain experts to leverage powerful AI models.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Swedish

Advanced

Chinese

Fluent

Work Experience

LLM for Agriculture Data Analysis / Master Thesis at Ecobloom

January 1, 2026 - Present

Designed and implemented automated ETL pipelines to retrieve and preprocess high-frequency time-series data from PostgreSQL databases. Engineered a statistical extraction layer (Mean, StdDev, Range, Trend) to compress raw sensor data, reducing LLM context window pressure by 80% and resolving memory bottlenecks. Leveraged Chain-of-Thought (CoT) and XML-tagging to enhance LLM diagnostic accuracy for greenhouse anomalies; built a Retrieval-Augmented Generation (RAG) system integrating real-time anomalies with greenhouse knowledge, enabling 3 domain-specific LLMs to generate high-fidelity flash reports.

Software Developer at Speech Technology Lab, KTH

February 1, 2025 - November 1, 2025

Developed a real-time Audience Response System hub simulator using Python and MQTT, enabling synchronized multi-user data collection with sub-100ms latency for controlled testing. Designed multimodal experiments (30 participants) to evaluate Whisper ASR performance under synthetic speech vs. background noise and assess robustness to human perception.

Quality Assurance Analyst at Chevron

August 1, 2022 - August 1, 2024

Collaborated with the tech team to evaluate physical-chemical features and implemented workflow improvements that enhanced product stability validation and increased positive user feedback by 10%. Built 4 QA dashboards in Power BI visualising lab testing workflows across 30+ engine lubricant formulations, enabling real-time progress tracking for commercialisation decisions.

Product Marketing Specialist at Meituan

April 1, 2020 - June 1, 2021

Conducted funnel analysis and A/B testing using SQL during seasonal promotions, extracting metrics that identified 5+ optimisation opportunities and driving a 16% increase in user conversion. Managed content partnerships with Baidu and ByteDance, collaborating with engineering teams to develop automated content algorithms, doubling daily clicks from 100,000 to 200,000.