About
My Introduction
I help businesses turn data and ideas into working products — from analytics dashboards and predictive models to web apps, scrapers, and automation scripts. My core stack spans web app and backend development, ML and data modeling, exploratory data analysis, web scraping & data sourcing, and advanced NLP. Whether you need a clean dataset, an end‑to‑end ML pipeline, or a custom tool that removes repetitive work, I design, build, and deploy solutions that ship and are easy to use. If you’re looking for a partner to scope your problem, prototype fast, and deliver results, let’s work together.
Experience
My journey in the academic & professional frontB.Science - Computer Science
Kabarak University, NakuruSoftware Engineering Bootcamp
Zalego InstituteHigh School
Lenana School | NairobiMachine Learning Lead
BITZ-IT ConsultingData Annotator
JHUB, Makerere AI Labs, GOOGLEData Scraper
Lish AI Labs - Simba AIFreelance Solutions Expert
Upwork, Freelancer/IndependentHealth IT Intern
Langalanga HospitalData Analyst Intern
Kenya PowerSkills
My technical & other skillsData Science & AI
2 Years XPComputer Vision
75%Generative AI
95%Natural Language Processing
95%Signal Processing
70%Probability & Statistics
75%Data Analytics & Visualization
85%Frameworks & Libraries
80%Programming
3+ Years XPPython
90%SQL
80%Java
60%C++
70%Computing
3+ Years XPGPU & Distributed Computing
85%Amazon Web Services
50%Google Cloud Platform
65%Front End
3 Years XPHTML
90%CSS
85%JavaScript
75%React JS
70%VueJs
85%BackEnd
3 Years XPPython - Django, Flask, Fast API
95%Firebase
55%Java - Spring Framework
70%Node JS, Express JS
70%Misc
2+ Years XPGit
90%Linux
80%DVC, MLFlow
85%Research
My research publications, conference contributions, & patentsLeveraging Artificial Intelligence for Real-Time Carbon Emission Management and Climate Change Resilience Planning in Kenya
Conference: NeurIPS, 2024Link: https://www.climatechange.ai/papers/neurips2024/98
Author(s):Peter Rogendo ; Alukwe Jones ; Theophilus Owiti ; Mercy Gachoka
As climate change intensifies, reducing carbon emissions has emerged as a critical global objective. Countries like Kenya, which heavily depend on agriculture and pastoral systems, are disproportionately affected by changing climatic conditions
Beyond the Hype: Building Production-Ready AI for Helplines with DistilBERT Fine-Tuning
Link: https://www.linkedin.com/pulse/beyond-hype-building-production-ready-ai-helplines-peter-rogendo-wb5pf/?trackingId=7c8uwk9OTLyCRoUrbUmi5Q%3D%3D
Author: Peter Rogendo
Our challenge was immense: how to instantly categorize sensitive, unstructured conversations from a child protection helpline. The goal was to automatically detect the main issue, specific sub-topic, required intervention, and urgency level to ensure children get the right help, fast.
Projects
My independent projects & contributions
Mental Health Chattbot
This is an AI-powered mental health chatbot designed to provide users with emotional support, coping strategies, and resources for mental well-being through natural language conversations.
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OPENCHS - AI Service
This Repository takes care of all AI requirement in the OPENCHLAI Child Helpline. This project is an advanced AI-driven solution for voice processing and case prediction. It enables automated transcription, translation, case classification and summarization to enhance efficiency in call management systems.
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English Swahili Translation Service
This English-Swahili Translation Service is a language translation solution designed to bridge communication gaps between English and Swahili speakers. Utilizing advanced machine learning techniques, the service provides accurate and context-aware translations
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Prompt Engineering
This project is a community-based research program in partnership with JHUB and Makerere University. The purpose was to help Google better understand the needs of its diverse users and to improve Google's AI products and Services, by helping them identify, label and annotate bias in prompts.
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Stock Price and Direction Predictor
This project explores the application of Deep Learning to financial time-series forecasting. The models utilize historical OHLCV data to predict two outputs: Price Vector: The projected closing price for the next time step and Directional Probability
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JengaAI - Deep Learning Framework
JengaAI is a Deep Learning Framework for Python, that aims to deliver high user-friendliness, fast and cheap prototyping Machine Learning models and user-experience simplifying technicality and improving accessibility to the general population.
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