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Z
Zahid U.

Zahid U.

Ph.D. Researcher, KIST Water-Energy Nexus Lab (LLM fine-tuning and retrieval pipelines)

South Korea flagSeoul, South Korea

Key Skills

Software

Don't disclose
Other

Top Subject Matter

Electrochemical desalination
on-device LLM expert assistant
Electrochemical water-treatment control

Top Data Types

TextText
ImageImage

Top Task Types

Fine-tuningFine-tuning
Function CallingFunction Calling

Freelancer Overview

Ph.D. Researcher, KIST Water-Energy Nexus Lab (LLM fine-tuning and retrieval pipelines). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Don't disclose and Other. Education includes Doctor of Philosophy, Korea Institute of Science and Technology (KIST) (2026) and Master of Science, National University of Sciences and Technology (NUST) (2021). AI-training focus includes data types such as Text, Computer Code, and Programming and labeling workflows including Fine-tuning and Function Calling.

Labeling Experience

Postdoctoral Researcher, KIST Water-Energy Nexus Lab (agentic AI systems and RAG pipelines)

OtherFunction CallingFunction Calling

Built agentic AI systems for autonomous monitoring, decision support, and control of electrochemical water-treatment processes with an emphasis on connecting process data and domain knowledge to language models. Implemented retrieval-augmented generation pipelines enabling operator-facing troubleshooting and technical assistance without relying on cloud access. Explored meta-reinforcement learning approaches to improve controller adaptation across varying operating regimes. • Integrated process data with domain knowledge for RAG-based assistance • Developed agentic monitoring and decision-support workflows • Designed operator troubleshooting and technical-assistance interfaces • Investigated meta-RL for adaptation under variable influent and disturbances

2026 - Present

Ph.D. Researcher, KIST Water-Energy Nexus Lab (LLM fine-tuning and retrieval pipelines)

Don't discloseTextTextFine-tuningFine-tuning

Developed and deployed an on-device expert agent for electrochemical water desalination using a fine-tuned LLM with vision-language indexing to improve operator-facing question answering. Worked on model adaptation and retrieval integration for technical assistance workflows rather than manual human annotation. Evaluated and iterated on model outputs to reduce hallucinations and improve citation-backed accuracy in low-cost environments. • Fine-tuned Mistral-7B for domain expert assistance • Built vision–language indexing to support retrieval-augmented responses • Implemented QA pipelines for troubleshooting and technical assistance • Measured hallucination rate reduction and QA accuracy improvements

2022 - 2025

Education

K

Korea Institute of Science and Technology (KIST)

Doctor of Philosophy, Energy and Environment Technology

Doctor of Philosophy
2022 - 2026
N

National University of Sciences and Technology (NUST)

Master of Science, Process System Engineering

Master of Science
2019 - 2021

Work History

K

KIST

Postdoctoral Researcher

Seoul
2026 - Present
K

KIST

Ph.D. Researcher

Seoul
2022 - 2025