Neo L.

Civil Engineer & Automation Specialist (Data automation for engineering workflows)

Nairobi, Kenya

Key Skills

Software

Encord

Top Subject Matter

Civil engineering infrastructure design automation (GIS/drainage and structural evaluation)

Engineering calculation tooling and structured model cross-checks for civil works

Legal Services & Contract Review

Top Data Types

Text

Document

Top Task Types

Polygon

Freelancer Overview

Civil Engineer & Automation Specialist (Data automation for engineering workflows). Brings 8+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Nairobi (2022). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Computer Programming and Coding.

Labeling Experience

Civil Engineer & Automation Specialist (Data automation for engineering workflows)

Developed Python automation to support engineering model generation and verification workflows rather than manual calculations. Created data-processing pipelines using Pandas/GeoPandas to parse large GIS and topographical layers for flood-risk forecasting and site suitability modeling. Built and maintained internal scripts that standardize structural evaluations and improve turnaround time for recurring engineering tasks. • Automated structural load evaluation and drainage calculation report generation • Implemented Pandas/GeoPandas workflows for GIS/topographical data parsing • Supported geospatial forecasting and site suitability layout modeling • Coordinated outputs with stakeholders to ensure compliance with Kenyan building and safety constraints

2022 - Present

Graduate Civil Engineer (Internship / Junior Role)

Built standalone Python GUI calculation tools to systematically cross-examine manual stress analyses against design constraints. Supported the production of structural concrete detailed models and site leveling schedules using AutoCAD Civil 3D to improve consistency of engineering deliverables. Supervised field foundation pours and reinforced bar placements while logging milestone metrics, enabling early detection of code deviations that affect downstream model inputs. • Developed PyQt5-based GUI calculation tools for stress analysis cross-checks • Assisted with AutoCAD Civil 3D structural model and site leveling schedule production • Logged field milestone metrics for foundations and reinforcement placement • Identified early code deviations to reduce rework in engineering workflows

2019 - 2022

Education

University of Nairobi

Bachelor of Science, Civil Engineering

Bachelor of Science

2019 - 2022

Work History

Neo Techs

Civil Engineer & Automation Specialist

Nairobi

2022 - Present

Infrastructure Development Firm

Graduate Civil Engineer (Intern/Jr.)

Nairobi

2019 - 2022