Nurzaman

Data Scientist

https://talent.gravityer.com/nurzaman

I build interoperable AI, IoT, and edge-cloud systems that turn messy, multi-source data into reliable, analytics-ready platforms.

cps-smartfarm

Key Strengths

Extensive personal project experience in Data Science and AI infrastructure, indicating strong self-driven learning and practical application.
Proficiency in Python, a core language for Data Science, demonstrated across numerous projects.
Exposure to various aspects of AI/ML development, including human-in-the-loop systems, versioned re-training, distributed systems, and LLM token budgeting.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and experimental AI/ML projects, particularly in agricultural automation and distributed AI. This aligns with an innovative and problem-solving culture. However, the listed work experience dates (starting in 2026) appear to be placeholders or future dates, making it difficult to assess actual professional experience and cultural alignment within a team setting. The lack of detailed descriptions for professional roles also limits this assessment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

TraitAI-Organization

Data Scientist

June 24, 2026 – Present

PlantCSI

Data Scientist

June 24, 2026 – Present

AgrelaEco

Data Scientist

June 24, 2026 – Present

IoCT-Organization

Data Scientist

June 24, 2026 – Present

SubterraAI-Organization

Data Scientist

June 24, 2026 – Present

Outreach-Organization

Data Scientist

June 24, 2026 – Present

cps-smartfarm

Data Scientist

June 24, 2026 – Present

Projects

internet-of-agents-agri-automation-skeleton

May 16, 2026 – Present

internet-of-agents-agri-automation-skeleton — GitHub repository

View Project

distributed-token-budgeting-for-llm-systems

May 16, 2026 – Present

distributed-token-budgeting-for-llm-systems — GitHub repository

View Project

distributed-agent-skills-playground

May 16, 2026 – Present

distributed-agent-skills-playground — GitHub repository

View Project

distributed-ai-infrastructure-playground

May 16, 2026 – Present

distributed-ai-infrastructure-playground — GitHub repository

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inference-trace-explorer

May 16, 2026 – Present

inference-trace-explorer — GitHub repository

View Project

subterra

February 23, 2026 – Present

Subterra | Human-in-the-Loop Root Phenotyping, Versioned Re-training, and GWAS Mapping

View Project

backend

February 11, 2026 – Present

backend — GitHub repository

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subterra_v2

January 13, 2026 – Present

subterra_v2 — GitHub repository

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flexonedge

June 28, 2025 – August 21, 2025

flexonedge — GitHub repository

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FieldDock

September 21, 2023 – January 25, 2024

Code Repository for the FieldDock Research Project

View Project

Key Strengths

Extensive personal project experience in Data Science and AI infrastructure, indicating strong self-driven learning and practical application.
Proficiency in Python, a core language for Data Science, demonstrated across numerous projects.
Exposure to various aspects of AI/ML development, including human-in-the-loop systems, versioned re-training, distributed systems, and LLM token budgeting.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Nurzaman

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit