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Tonna NwachukuTN

Tonna Nwachuku

Senior Software Engineer

€241/day
Ellicott City, US
8-15 years
Python
Typescript
JavaScript
LLM
React.js

Average response time: 1 hour

About Tonna

Seasoned Software Development Engineer with 14 years of experience designing and delivering large-scale, multi-tier distributed applications using Python, Java, TypeScript, and AWS. Proven expertise in translating business requirements into scalable technical solutions, with deep experience in multi-threaded programming, object-oriented design patterns,
and leading complex engineering efforts end-to-end. Specialized in modern GenAI solutions, LLM applications, and agent frameworks, with hands-on experience building production AI systems that integrate seamlessly with distributed architectures.

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • S2Tech/KPMG
    Senior Software Engineer
    April 2023 - March 2026 (2 years and 11 months)
    • • Designed and developed large-scale, multi-tier distributed LLM applications using Python, Java, and TypeScript, applying object-oriented design principles and design patterns to create secure REST APIs consumed by enterprise platforms
    • • Built end-to-end Retrieval-Augmented Generation (RAG) pipelines using LangChain and vector databases, implementing multi-threaded processing to handle concurrent document searches and enable intelligent content retrieval across distributed systems
    • • Owned complete delivery of multi-agent orchestration system components using modern GenAI pipelines and agent frameworks, coordinating complex engineering efforts that translated business requirements into scalable technical solutions for enterprise research workflows
    • • Led implementation of AWS-based distributed systems architecture integrating Bedrock and SageMaker, producing comprehensive technical documentation and establishing 24x7 monitoring capabilities using Prometheus and Grafana for production AI services
    • • Delivered containerized AI microservices through Docker and Kubernetes orchestration frameworks, implementing CI/CD pipelines that reduced deployment cycles while maintaining system reliability across multi-tier distributed environments
    Typescript Python JavaScript
  • Welldoc
    Senior Software Engineer
    February 2022 - April 2023 (1 year and 2 months)
    • • Developed and tested large-scale, distributed GenAI applications integrating OpenAI and Azure OpenAI APIs into digital health platform, applying design patterns and object-oriented programming principles to enable AI-assisted clinical decision support at enterprise scale
    • • Built production RAG pipelines using LangChain and SQL-based vector databases, implementing multi-threaded data processing workflows that surface relevant clinical guidelines and ground LLM responses in trusted medical knowledge bases
    • • Architected Python and Java backend services that operationalized ML model outputs into secure, distributed microservices deployed on AWS, translating complex AI requirements into scalable technical solutions with clear service contracts
    • • Implemented end-to-end MLOps workflows using AWS SageMaker and modern orchestration frameworks, establishing CI/CD automation with GitHub Actions and Docker that improved model deployment reliability and reduced release preparation time
    • • Collaborated with cross-functional teams to deliver AI coding tools and fine-tuning pipelines using Hugging Face Transformers, producing maintainable technical documentation and ensuring HIPAA compliance across distributed health systems
    Python JavaScript
  • Sandata Technologies
    Senior Software Engineer
    August 2018 - February 2022 (3 years and 6 months)
    • • Built large-scale, multi-tier backend services using Python and Java that operationalized machine learning outputs into distributed APIs, applying object-oriented design patterns and multi-threaded programming to handle enterprise-scale prediction workflows
    • • Developed RAG-based document processing systems using LangChain and modern GenAI pipelines, implementing SQL and JDBC integrations to enable intelligent search and extraction across operational document repositories in distributed environments
    • • Designed and delivered ETL data pipelines with multi-threaded processing capabilities that extracted and validated records from third-party systems into AWS storage, improving data consistency for downstream ML model serving and distributed analytics
    • • Integrated AWS Bedrock foundation models and agent frameworks into internal tooling, translating business requirements into scalable technical solutions that enabled teams to prototype and ship AI-assisted features without custom model infrastructure
    • • Led complex engineering efforts implementing CI/CD pipelines with GitHub Actions, Docker, and Kubernetes orchestration, establishing OpenTelemetry instrumentation and technical documentation standards for distributed AI-powered systems
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Education

  • Bachelors in Information System
    University of Maryland Global Campus
    2006
    Bachelors in Information System
  • Master of Business Administration
    University of Maryland Global Campus
    2009
    Master of Business Administration

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