Timur D.

Key Skills

Software

Other

Top Subject Matter

Motion sensor data quality certification for ML pipelines

Geospatial data processing and mapping for multi-sensor datasets

Legal Services & Contract Review

Top Data Types

3D Sensor

Text

Document

Top Task Types

Mapping

Freelancer Overview

Lead Developer — S2S Physics Certification Engine Open Source (s2s-certify). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes S2S Physics Certification Engine Open Source, Lead Developer (2026). AI-training focus includes data types such as 3D Sensor, Geospatial, and Tiled Imagery and labeling workflows including Evaluation, Rating, and Mapping.

Labeling Experience

Lead Developer — S2S Physics Certification Engine Open Source (s2s-certify)

Other3D Sensor

Developed and deployed a production physics certification engine to audit and validate motion sensor datasets (IMU, EMG, PPG) for downstream machine learning pipelines. Implemented deterministic physics validation laws that flag faults and quality issues in dataset windows, enabling dataset-level labeling of quality states. Used certified/filtered outputs to measure improvements in ML task performance such as activity recognition F1 score. • Designed 15 physics validation laws to detect hardware faults, synthetic artifacts, powerline interference, and session artifacts • Audited four institutional datasets, identifying contamination rates and documenting measurement/unit errors • Produced quality-tier outcomes for datasets (e.g., GOLD/SILVER/BRONZE/REJECTED) via a batch refinery CLI • Verified impact with a reported +4.23% F1 improvement after physics filtering on PAMAP2

2026 - Present

Data Operations & GIS Developer (Remote/Contract)

OtherMapping

Built Python data pipelines for parsing, cleaning, and mapping multi-sensor and geospatial datasets for clients. The work included structuring raw spatial data into usable formats for analysis and reporting, supporting quality of model-ready datasets. Documentation and cross-team delivery supported consistent data processing standards across multilingual stakeholders. • Processed geospatial and multi-sensor datasets for real estate and logistics across Central Asia and cross-border regions • Developed pipelines to parse, clean, and transform raw spatial databases for downstream use • Produced technical documentation for English/Russian/Turkish teams to standardize data handling • Coordinated dataset preparation workflows for multi-client deliverables

2024 - 2026

Education

Work History