Mwenda Mugendi

Bis 2020, Applied ML Scientist, United Nations Environment Programme

Berlin, Deutschland

Über mich

ML Product & Engineering Lead with ten-plus years of experience in Product design, development and software engineering, currently leading the development of large-scale computer vision and multi-modal models at AgRails. Repeatedly built and led teams to build ambitious, deeply technical products with a significant impact. With years of experience leading teams to build high-impact, deeply technical products, I am always interested in opportunities that will allow me to continue to apply and extend my expertise by exploring new areas and, most importantly, help build essential and ambitious products.

Fähigkeiten und Kenntnisse

Machine Learning
Software Architecture
Python
MLOps
Product Development
Product
Software
Engineering
AWS
Infrastructure
Data Science
Computer Vision
Artificial intelligence
Deep learning
ML
Cloud Computing
DevOps
Linux
JavaScript
Deep Learning
Computer vision
Large Language Models
Multi-modal models
Project Management
Research and Development
Architecture
TensorFlow
Data strategy
Data Analysis
Software Development
Leadership
Leadership skills
SQL
Big Data
English Language
Agile Development
Applied research
Sensor technology
Computer Science

Werdegang

Berufserfahrung von Mwenda Mugendi

  • Bis heute 8 Monate, seit Okt. 2023

    Head of Product and Engineering - ML

    AgRails

    As the lead ML product and engineering expert, I spearhead the development of cutting-edge data systems and AI solutions, specializing in multi-modal models and deep learning technologies. At present, our platform efficiently manages and processes an impressive 300GB of high-dimensional data per user, swiftly delivering insights via an API infrastructure within a remarkable 3-second timeframe from data acquisition.

  • 9 Monate, Feb. 2023 - Okt. 2023

    Head of Technology

    Amini

    As the principal product architect and the lead software engineer behind the formulation and implementation of product and technological strategies, I have steered elite teams towards the creation of a data-intensive infrastructure of unparalleled capability. This infrastructure is anchored in key pillars: scalable data processing, advanced space technology, climate and environmental resilience, and a strong commitment to agricultural and environmental stewardship.

  • 1 Jahr und 6 Monate, Sep. 2021 - Feb. 2023

    Head of Applied Research (New Product Design)

    PULA

    As Engineering Manager and the Head of Applied Research (New Product Design and Development) at Pula, I transformed how we think about machine learning, geospatial intelligence and advanced analytics. By architecting real-time satellite mapping platforms and pioneering machine learning-driven systems, I spearheaded initiatives culminating in operational savings exceeding $8 million. Beyond cost-efficiency, these innovations catalysed revenue growth, including over $1 million acquired through grants.

  • 1 Jahr und 3 Monate, Juni 2020 - Aug. 2021

    Senior Lead Applied Data Scientist

    PULA

    Risk modelling, data strategy and integration, strategic partnerships

  • 2 Jahre und 2 Monate, Mai 2018 - Juni 2020

    Applied ML

    Microsoft Corp.

    I led and worked on groundbreaking machine learning models in risk finance, leveraging alternative data streams like mobile network operator data, sensor data, and satellite imagery. This wasn't a siloed endeavour; my work served as a linchpin, aligning Microsoft’s applied ML research roadmap with overarching organisational strategies.

  • 7 Monate, Juli 2019 - Jan. 2020

    Applied ML Scientist

    United Nations Environment Programme

Ausbildung von Mwenda Mugendi

  • Bis heute 2 Jahre und 9 Monate, seit Sep. 2021

    Artificial intelligence

    Johns Hopkins University

  • 3 Jahre und 4 Monate, Sep. 2019 - Dez. 2022

    Computational Intelligence

    University of Nairobi

  • 4 Jahre, Jan. 2011 - Dez. 2014

    Computer Science

    Kenya Methodist University

Sprachen

  • Englisch

    Muttersprache

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