Open for Collaboration

Bless Ziamah
Software Engineer & ML Engineer

Software Engineer with strong Machine Learning experience, specializing in building and deploying ML-powered backend systems in production. Proven ability to integrate models into scalable APIs, reduce onboarding time from 24 hours to 3 minutes, and improve fraud detection accuracy by 85%. Experienced across Python, Django, Rails, FastAPI, and applied ML in fintech environments.

Core Philosophy

Bridging Engineering & Business Impact

Experienced in building end-to-end ML systems that solve real-world problems. Proficient in Python, with a practical approach to applying machine learning in finance and health technology.

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85% Accuracy Boost

Improved fraud detection and verification systems through advanced ML modeling.

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Latency Optimization

Reduced customer verification time from 24 hours to just 3 minutes.

Professional Journey

Software Developer, Analyst

2025 — Present

Black Star Group

  • verifiedCollaborated with cross-functional teams to streamline workflows and optimize project delivery cycles.
  • verifiedDeveloped report automation system for reporting to ensure compliance with regulators.

Software Developer (ML/AI Focused)

2024 — 2025

Achieve by Petra

  • verifiedBuilt an automation Rails app that processes customer requests for support care.
  • verifiedDeveloped ML/AI verification system reducing onboarding time from 24h to 3 mins.

Engineering Toolkit

Technical Expertise

terminal

Programming Languages & Frameworks

PythonDjangoFastAPIPandasNumPyTypescriptNestJSReactTailwindCSSHTMLCSSRailsRubySQL
psychology

Machine Learning

TensorFlowPyTorchScikit-learnVision TransformersCNNsOpenCVNLPComputer VisionNeural Networks
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Tools & Platforms

AWSDockerPostgreSQLGitLinuxMongoDBGCPKubernetesSentryREST APIs