Miracle Ogunlade
Software Engineer at Gitstart
Based in Lagos State, Nigeria
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Seniority
Staff
Department
Information Technology
Location
Lagos State
Industry
Software Development
Company size
27
Contact information
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m•••••••@gitstart.com
Phone
5 credits+234 ••• •••• ••••
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Background
About Miracle Ogunlade
I am an accomplished, results-driven professional with a proven track record of designing and architecting high-performance, scalable systems within FinTech, real estate, and SaaS domains. I specialise in developing robust event-driven architectures, real-time messaging platforms, AI-powered matching engines, and milestone-based escrow solutions, while staying adaptable to various technologies and industries. I excel in building semantic search systems using vector embeddings and vector databases, enabling intelligent, AI-driven retrieval and matching at scale. As a proven leader in distributed teams, I drive end-to-end product delivery, optimise performance, and foster seamless cross-functional collaboration. I am skilled at translating complex business needs into innovative technical solutions that enhance system efficiency, security, and user experience. Recognised for my technical mentorship, agile execution, and ability to deliver results that align with strategic goals, I am deeply committed to driving success in fast-paced environments. Technical Proficiencies: Cloud & DevOps: AWS, Azure, CI/CD, Docker, Kubernetes Architecture & Design: Software Architecture, System Design Programming Languages: TypeScript, JavaScript, Elixir, Go (Golang), Python, C, Rust, SQL, NoSQL Databases & Storage: PostgreSQL, MySQL, Redis, MongoDB, Firebase, Amazon S3, DynamoDB, Graph databases Protocols & Communications: Rest, WebSockets, MQTT, Messaging & Communication Protocols (e.g, REST, WebSockets, MQTT) Infrastructure, Monitoring & Observability: Pulumi, Terraform, Prometheus, Sentry, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) AI/ML & NLP: Vector Databases, FAISS, Vector Embeddings, OpenAI API, Deepseek, LangChain, Hugging Face, TensorFlow, PyTorch
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