Michael M.

Key Skills

Software

Don't disclose

Label Studio

CVAT

Top Subject Matter

LLM-based backend services for AI agents/chatbots and AI-driven transaction workflows

Blockchain-intent data pipelines feeding validated systems for potential AI/intelligent orchestration

Production logging and API/data standards supporting AI training dataset collection

Top Data Types

Document

Text

Computer Code Programming

Top Task Types

Prompt + Response Writing (SFT)

Data Collection

Question Answering

Text Generation

Computer Programming/Coding

Function Calling

Red Teaming

Fine-tuning

Text Summarization

Point/Key Point

Classification

Segmentation

Bounding Box

Freelancer Overview

Senior Backend Engineer / Lead Backend Engineer (Proxify) - shipping production AI agents and chatbot features. Brings 14+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include LangChain, OpenAI, and Gemini. Education includes Doctor of Philosophy, Imo State University (2025) and Diploma of Higher National, NIIT Lagos (2017). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Function Calling and Prompt + Response Writing (SFT).

Labeling Experience

Senior Backend Engineer / Lead Backend Engineer (Proxify) - shipping production AI agents and chatbot features

Function Calling

Built and deployed production AI agent capabilities integrated into client products using LangChain with OpenAI and Gemini. Implemented reactive agentic workflows that support dynamic tool selection and multi-step reasoning for end-user interactions. Developed a live Model Context Protocol (MCP) server conceptually enabling structured prompt/tool exchanges and function calling behavior. • Integrated OpenAI and Gemini via LangChain for agent and chatbot features • Implemented tool-selection and reasoning pipelines using LangChain • Designed backend services to support MCP-style tool/resource interactions • Used token validation and real-time updates to support agent-driven experiences

2023 - Present

Senior Software Engineer / Lead Backend Engineer — Proxify (AI-integrated backend services)

Prompt + Response Writing (SFT)

Built AI-driven backend services that incorporate LLM capabilities using OpenAI and Gemini via LangChain, supporting production workflows that likely require prompt engineering and response generation. Focused on integrating AI components into transaction and blockchain-related systems where validated outputs must align with downstream consumers and partners. Contributed to AI agent/chatbot style functionality in a deployed backend environment. • Integrated OpenAI and Gemini through LangChain for AI-driven backend services • Implemented structured, validated data flows from AI components into real-time systems • Supported deployment and monitoring of AI-enabled services within a GitOps CI/CD pipeline • Documented API and backend processes to facilitate team onboarding and consistent AI behavior

2023 - Present

Lead Backend Engineer — Backstage.army (intent data handling enabling AI-ready workflows)

Don't disclosePrompt + Response Writing (SFT)

Delivered blockchain-enabled DeFi backend services with secure intent data handling and real-time broadcasting infrastructure, enabling AI-capable downstream processing that benefits from consistent intent/response semantics. Implemented robust EIP-712 signature checking to ensure trustworthy inputs that can be used by higher-level AI or intent-based systems. Built production-grade event-driven pipelines for validated data distribution. • Implemented secure signature validation to protect backend services from fraudulent on-chain requests • Built WebSockets and Redis Pub/Sub real-time broadcasting for validated intent data • Designed asynchronous processing of blockchain events and state changes • Developed unit/integration tests using Jest to ensure reliable behavior across wallet and transaction modules

2022 - 2023

Technical Lead Backend Engineer — Sterling Bank Nigeria

Data Collection

Led backend engineering for enterprise-scale banking platforms, providing instrumentation, testing, and API documentation that can support dataset creation and labeling workflows in regulated environments. Ensured production reliability through comprehensive test coverage and observability, improving the quality of any collected interaction logs that could be used for AI training. Standardized engineering practices to accelerate onboarding and consistent data handling. • Implemented monitoring/observability using Azure Monitor and structured logging • Maintained Jest unit and integration tests for production stability • Authored API documentation and internal technical guides for standardized practices • Implemented CI/CD pipelines to support consistent data and service deployment

2019 - 2023

MCP Health Intelligence Server (Project) - production MCP server with agent tool/prompt templates

Prompt + Response Writing (SFT)

Built a production-ready Model Context Protocol (MCP) server that exposes health intelligence tools, resources, and prompt templates for MCP-compatible clients. Integrated the server across agentic workflows in n8n and Flowise so the tools can be executed by custom agents and automation clients. Enabled secure, per-user access via token-based authentication while the system serves curated tool outputs for health-related use cases. • Exposed MCP tools, resources, and prompt templates consumable by MCP clients • Integrated and validated workflows across n8n and Flowise • Implemented token-based authentication with rate limiting and session control • Supported multiple live health tools including PubMed research search and alerting

2013

Education

Work History