I am Julian Tanui, a Fullstack Developer & AI Engineer based in Nairobi, Kenya.
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About
I'm a Fullstack Developer and AI Engineer with a BSc in Informatics and Computer Science from Strathmore University. I build software products that solve real-world problems — from platforms that assess financial risk in carbon credit markets, to intelligent systems that automatically transcribe and analyze meetings, to tools that detect manipulated images using deep learning. Currently working in the climate technology space at Verst Carbon, I bring hands-on industry experience in turning complex ideas into polished, production-ready applications.
Expertise
- AI & Machine Learning
- AI Agent Systems
- Fullstack Development
- Python
- TypeScript
- Cloud & DevOps
- Geospatial Intelligence
Experience
Verst Carbon
Software Engineering Intern
Feb 2026 - Present
• Built full-stack production applications from scratch for
carbon project management and data analysis.
• Collected and processed geospatial data for the company's
corridor intelligence platform.
• Automated internal workflows including daily climate tech
news feeds and weekly performance analysis reports.
• Contributed to data analysis pipelines supporting
carbon credit verification and monitoring.
CIC Insurance Group
ICT Intern
Jan 2025 - Apr 2025
• Troubleshot network issues and reported outages or
performance concerns.
• Provided help desk support by responding to employee
tickets and escalating complex issues.
• Set up and configured laptops, desktops, and mobile
devices; ensured network/domain connectivity.
Kenya National Library Service (KNLS)
Volunteer
Jan 2024 - Apr 2024
• Taught basic computer literacy skills to students,
improving their proficiency with technology.
• Assisted in organizing educational workshops and
fostering a collaborative learning environment.
• Assisted in front desk services and arrangement
of books.
Education
Strathmore University, Nairobi
BSc. in Informatics and Computer Science
June 2022 - December 2025
Completed — Degree conferment: August 2026.
Dean's List (2022-2023, 2024-2025).
• Local Committee Vice President for Finance
and Legalities.
• Project Manager for SDG Hub in Strathmore.
Moi High School, Kabarak
Kenya Certificate of Secondary Education
2018 - 2021
Mean Grade: A-
• Attended Open P-TECH course on emerging
technologies.
• Active in Chess Club, Football, and Kenya
Drama Festival.
Hackathons & Competitions
Intl. Energy & Sustainability Hackathon
Participant
2026
Currently participating in the 2026 cohort, developing sustainable energy solutions.
Inflection AI Hackathon
Participant
Climate Change Theme
Developed 'EcoCoin,' a fintech solution for trading carbon credits for real currency to incentivize climate action.
Oracle Hackathon
Participant
Climate Change Theme
Built 'Smart IoT Farm,' an integrated system using sensors and AI to monitor soil health and automate irrigation.
Recent Projects
Here are some of my favourite projects. Feel free to check them out.
OfftakeOS
An automated financial risk engine for carbon credit portfolios. OfftakeOS ingests forward contract data, monitors 10 real-world data sources (NASA FIRMS, GFW Deforestation, GDELT News, carbon prices, and more), scores each contract's expected delivery using additive risk discounting with time-decay and country risk multipliers, and visualizes portfolio-wide financial exposure on interactive maps and dashboards. Features what-if scenario simulation, Telegram alerts, CSV import, and 322 automated tests across backend and automation layers.
- Next.js
- Flask
- PostgreSQL
- Modal
- Clerk Auth
- Sentry
Meeting Intelligence Engine
A full-pipeline meeting intelligence system: captures meetings via Recall.ai bot, transcribes with AssemblyAI (speaker diarization), extracts intelligence using GPT-4o (summaries, action items, decisions, risks), generates embeddings for RAG chat, and auto-generates weekly team podcasts with TTS. Features live WebSocket real-time transcription, Microsoft/Google Calendar integration, multi-language support (EN/SW/FR/ES), and enterprise security (JWT, RBAC, HMAC, Fernet encryption). Built with durable Inngest pipelines and 108 automated tests.
- Next.js
- FastAPI
- GPT-4o
- Supabase
- pgvector
- Inngest
DeepDetect
An explainable deep-learning system for detecting forged images and videos. Built with a ResNet50 CNN trained on 140K images achieving 94.12% accuracy (0.982 AUC). Features GRAD-CAM explainability visualizations, video frame aggregation pipeline, Google OAuth + JWT authentication, admin analytics dashboards, detection history, and PDF report generation. Full-stack with React/TypeScript frontend and Flask backend.
- PyTorch
- React
- Flask
- Computer Vision
- XAI
CarbonVerify
A carbon credit auditing dashboard for mapping projects, verifying credits via sensor CSV upload, and triggering certificate minting. Features an interactive map visualization, a verification modal workflow, and a full CI/CD pipeline. Built with a React (Vite) frontend, Node.js/Express API backend, PostgreSQL database, and Docker Compose for containerized deployment.
- React
- Node.js
- PostgreSQL
- Docker
- CI/CD
Project Rainmaker
An AI-powered Sales Development Representative (SDR) agent built with LangGraph. Automatically searches the web for businesses, scrapes and evaluates their websites, scores leads on marketing gaps (1–10 scale), and saves qualified prospects with actionable outreach reasons. Generates PDF reports with lead data. Built for Okara AI's automated CMO platform targeting SMBs.
- LangGraph
- GPT-4o
- Web Scraping
- AI Agent
IoT Smart Farming Assistant
A comprehensive smart farming management web application with IoT integration, real-time monitoring, and AI-powered insights. Features a real-time dashboard for soil moisture, temperature, and environmental conditions, weather forecast integration via OpenWeatherMap, an AI chat assistant powered by Groq for personalized farming advice, and data-driven analytics for crop management. Built with React 18/TypeScript (Shadcn/ui) frontend and FastAPI/Python backend.
- React
- FastAPI
- Groq AI
- IoT
RAG Gaming Assistant
An intelligent Q&A system for game documentation, lore, and mechanics. This RAG (Retrieval-Augmented Generation) application uses hybrid dense + sparse retrieval (FAISS + BM25) with HuggingFace sentence transformers. Features persona-based responses (Guide, Sage, Expert, Casual), adjustable detail levels, multi-format document support (PDF, text, websites), and optional GPT-3.5 integration. Deployed on Streamlit Cloud.
- LangChain
- FAISS
- Streamlit
- RAG
Contact Me
I would love to hear from you. Let's connect and discuss opportunities.
Get in Touch
Have a project in mind or want to discuss opportunities? I'm always open to interesting conversations about fullstack development, AI engineering, and building great products. Drop me an email and let's connect.