Ubong Jeremiah
Senior Software Engineer
Summary
Senior Software Engineer with 5+ years of experience delivering and owning
production systems in financial, e-commerce, and data-driven platforms through a
consulting and outsourcing model. Strong background in Python, cloud-native
architectures, microservices, and event-driven systems, with proven impact on
system reliability, scalability, and delivery speed.
Professional Experience
Senior Software Engineer (Consulting / Client Projects)
Innowise | January 2020 – Present
Working as a senior engineer within an outsourcing and consulting environment,
embedded across multiple client projects. Responsible for architecture,
implementation, deployment, operations, and continuous improvement of production
systems in reliability-critical domains.
Projects
Real Estate AI Platform
Jan 2024-Present
A platform leveraging AI to assess property values, predict market trends, and
provide personalized property recommendations for buyers and investors.
● Built a property valuation engine using machine learning, increasing prediction
accuracy by 42%.
● Designed and deployed a recommendation system that improved user engagement
by 38%.
● Implemented automated data pipelines for property listings, reducing data
processing time from 6 hours to 45 minutes.
● Developed a microservice architecture with FastAPI and Django, enabling scalable
handling of 50K+ daily requests.
● Integrated third-party APIs for market data and user verification, streamlining the
onboarding process.
● Set up Prometheus and Grafana monitoring, reducing system downtime by 60%.
● Automated CI/CD pipelines with GitHub Actions and Docker, cutting deployment
time to under 20 minutes.
Produce Quality Control
February 2020- December 2023
An AI-powered system that inspects agricultural produce, detects defects, and
assigns overall quality grades to optimize supply chain efficiency.
● Developed an image ingestion and defect detection pipeline using GCP, reducing
manual inspection time by 70%.
● Built microservices for image processing, grading, and notifications, handling 10K+
items per day seamlessly.
● Implemented real-time notifications and dashboards for quality metrics, improving
decision-making speed by 50%.
● Automated asynchronous workflows using RabbitMQ and serverless functions,
increasing throughput by 3x.
● Integrated secure authentication with OAuth, ensuring compliance and data
protection across all services.
● Set up monitoring with Prometheus and Grafana, reducing system downtime and
operational errors by 40%.
EDUCATION
McPherson University, Computer Science, 2016
LANGUAGES
English Native, Russian A2
SKILLS
Python, AWS, Azure, Docker, DynamoDb, Kubernetes, Kafka, MongoDb, RabbitMQ,
PostgreSQL, Redis, gRPC, Version Control, Git, GitHub, Prometheus, Grafana
