Open to opportunities

Jane Ajodo

@janeajodo

Message

AI & Machine Learning Engineer building production-ready LLM and ML systems for scalable, evaluation-driven outcomes.

Nigeria

Message

What I'm looking for

I want to build AI systems for search, recommendations, content understanding, and intelligent decision-making, owning end-to-end development—from pipelines and LLM/RAG to scalable deployment, monitoring, and evaluation for real-world impact.

I’m an AI & Machine Learning Engineer focused on building production-ready machine learning and LLM-powered systems end to end—data processing, model integration, evaluation, deployment, and monitoring. I enjoy turning complex AI workflows into reliable backend services that teams can ship and scale.

At Koloxo, I architected scalable AI-powered backend systems with FastAPI, PostgreSQL (Row-Level Security), Redis Streams, and Playwright, and designed queue-based autonomous task workflows with retries, monitoring, and fault recovery. I also integrated Vertex AI AutoML (PostgreSQL → BigQuery → Vertex AI) for predictive lead scoring, and improved production stability by migrating synchronous DB operations to asyncpg. Previously at Ophir Brooks Digital Technologies, I built an LLM-powered RAG assistant that reduced manual analysis time by 40% and implemented monitoring with precision/recall tracking and drift detection, using REST APIs and Docker to deliver real-time inference.

Experience

Work history, roles, and key accomplishments

Current

AI Developer

Current

Koloxo

Jan 2026 - Present (5 months)

Architected and built scalable AI-powered backend systems using FastAPI, PostgreSQL (Row-Level Security), and Redis Streams to support concurrent distributed workloads. Implemented queue-based autonomous workflows with monitoring and fault recovery, and migrated synchronous DB operations to asyncpg to improve stability and throughput.

fastAPI PostgreSQL REDIS Streams Asyncpg

Machine Learning & AI Engineer

Ophir Brooks Digital Technologies

Jan 2023 - Nov 2025 (2 years 10 months)

Designed and deployed an LLM-powered assistant with retrieval-augmented generation (RAG), reducing manual analysis time by 40%. Built NLP and embeddings pipelines for classification, summarization, and semantic search, and integrated the solutions into backend systems via REST APIs and Docker with evaluation and drift monitoring.

Embeddings Semantic Search Prompt Engineering REST APIs Docker Model Monitoring Evaluation Loops

Machine Learning Intern

Jahlics Technology

Apr 2022 - Sep 2022 (5 months)

Built and maintained data pipelines to clean and transform datasets for early-stage predictive modeling and NLP experiments. Conducted EDA, supported validation workflows, and created dashboards/reports to communicate insights to stakeholders.

Data Pipelines Data Cleaning predictive modeling Model Validation ETL Dashboards Stakeholder Insights