Dayo PraiseGod Adesanmi

Professional Summary

Results-driven AI & Software Engineer building production-grade systems across AI, backend engineering, and cloud infrastructure. Strong hands-on experience in Python, Node.js, Go, and modern AI/LLM-driven systems. Proven ability to build scalable, reproducible, and production-ready environments using Docker, Linux, CI/CD pipelines, and cloud infrastructure. Experienced in LLM-assisted development workflows, intelligent automation, data pipelines, and backend systems. Adept at remote collaboration and overlapping with global time zones.

Core Technical Skills

Programming Languages

Python (Advanced), JavaScript / TypeScript (Node.js, React, Next.js), Go, SQL

AI / ML / LLMs

TensorFlow, PyTorch, scikit-learn, LangChain, LangGraph, LLMs, Hugging Face, LLM-based agents, AI automation pipelines, Model evaluation, edge-case testing, prompt optimization, security

Backend & Systems

Django, Django Ninja, Flask, FastAPI, REST APIs, Microservices, Serverless Architectures, Data pipelines (ETL/ELT), Real-time systems

MLOps, DevOps & Cloud

Docker, Docker Compose, Dev Containers, Linux, Bash scripting, automation, CI/CD (Jenkins, GitHub Actions), AWS (EC2, S3, Lambda), Google Cloud, Microsoft Azure

Messaging & Databases

PostgreSQL, MySQL, MongoDB, Redis, Celery, RabbitMQ

Development Practices

Advanced Git knowledge, Unit and integration testing, Reproducible environments & infrastructure-as-code mindset

Professional Experience

AI Engineer

PharmaServ Technologies (Remote)

Designed and implemented AI-driven automation for sales, marketing, and distribution workflows in life science operations.
Built LLM-powered agents for intelligent customer interaction, reporting, and data summarization.
Architected and deployed a data warehouse supporting real-time analytics and decision-making.
Developed robust ETL pipelines integrating multi-source datasets for predictive modeling.
Collaborated in research and early adoption of LLM-based enterprise solutions.

Backend Engineer

Optimaviz Technologies (Remote)

Developed data-intensive backend systems for mining and process engineering analytics.
Built and deployed predictive ML models (RandomForest, DecisionTree) for production optimization and forecasting.
Implemented scalable APIs using Django Ninja and PostgreSQL for large dataset ingestion.
Integrated AI-assisted analytics and visualization tools for domain-specific users.

AI Consultant & Mentor

Freelance / Community Projects (Ongoing)

Mentor engineers and students on AI systems design, LLMs, and MLOps best practices.
Consult on scalable AI infrastructure, Dockerized deployments, and automation pipelines.
Assist teams in adopting LLM coding tools and AI-augmented development workflows.

Selected Projects

PharmaServ AI Integration

Designed AI automated CRM workflows and data summarization using LLMs.

Mining Analytics Platform (Optimaviz)

Developed an AI Bot Assistant to provide help with the Data analysis process on Optimaviz web, tailored to Mining and Process engineering, integrated with OpenAI's LLM.