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I am Oluwaseun Adeniji, a Senior AI/ML Engineer passionate about building AI-powered applications and scalable ML platforms. I specialize in AI-driven applications, LLM integrations, RAG workflows, and vector database workloads, delivering production-grade ML infrastructure and real-time data pipelines using Python, Java, Kafka, LangChain, MLflow, Docker, and modern MLOps practices. I enjoy turning complex requirements into robust solutions that improve decision making and user experiences across HR, ticketing, and marketplace analytics. I thrive in cross-functional teams and love exploring new models, optimization techniques, and cloud-native architectures to drive measurable improvements in accuracy, latency, and reliability.…I am Oluwaseun Adeniji, a Senior AI/ML Engineer passionate about building AI-powered applications and scalable ML platforms. I specialize in AI-driven applications, LLM integrations, RAG workflows, and vector database workloads, delivering production-grade ML infrastructure and real-time data pipelines using Python, Java, Kafka, LangChain, MLflow, Docker, and modern MLOps practices. I enjoy turning complex requirements into robust solutions that improve decision making and user experiences across HR, ticketing, and marketplace analytics. I thrive in cross-functional teams and love exploring new models, optimization techniques, and cloud-native architectures to drive measurable improvements in accuracy, latency, and reliability.

Oluwaseun Adeniji

AI Engineer, Data Scientist, Full Stack Developer, +2

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I am Oluwaseun Adeniji, a Senior AI/ML Engineer passionate about building AI-powered applications and scalable ML platforms. I specialize in AI-driven applications, LLM integrations, RAG workflows, and vector database workloads, delivering production-grade ML infrastructure and real-time data pipelines using Python, Java, Kafka, LangChain, MLflow, Docker, and modern MLOps practices. I enjoy turning complex requirements into robust solutions that improve decision making and user experiences across HR, ticketing, and marketplace analytics. I thrive in cross-functional teams and love exploring new models, optimization techniques, and cloud-native architectures to drive measurable improvements in accuracy, latency, and reliability.…I am Oluwaseun Adeniji, a Senior AI/ML Engineer passionate about building AI-powered applications and scalable ML platforms. I specialize in AI-driven applications, LLM integrations, RAG workflows, and vector database workloads, delivering production-grade ML infrastructure and real-time data pipelines using Python, Java, Kafka, LangChain, MLflow, Docker, and modern MLOps practices. I enjoy turning complex requirements into robust solutions that improve decision making and user experiences across HR, ticketing, and marketplace analytics. I thrive in cross-functional teams and love exploring new models, optimization techniques, and cloud-native architectures to drive measurable improvements in accuracy, latency, and reliability.

Available to hire

I am Oluwaseun Adeniji, a Senior AI/ML Engineer passionate about building AI-powered applications and scalable ML platforms. I specialize in AI-driven applications, LLM integrations, RAG workflows, and vector database workloads, delivering production-grade ML infrastructure and real-time data pipelines using Python, Java, Kafka, LangChain, MLflow, Docker, and modern MLOps practices.

I enjoy turning complex requirements into robust solutions that improve decision making and user experiences across HR, ticketing, and marketplace analytics. I thrive in cross-functional teams and love exploring new models, optimization techniques, and cloud-native architectures to drive measurable improvements in accuracy, latency, and reliability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Work Experience

Senior AI/ML Engineer at Eagleanalytix

May 1, 2025 - March 1, 2026

Developed an LLM-based HR and People application using LangChain and Azure OpenAI, streamlining employee inquiries and improving response accuracy related to policy questions. Built high-performance Java and Python backend microservices for real-time AI inference and Kafka-based data streaming, enabling scalable marketplace analytics across ticket intelligence platforms. Fine-tuned Vision-Language Models with HuggingFace on Azure VMs, achieving a 3% improvement in document form and table extraction accuracy. Implemented forecasting models with XGBoost and LightGBM to predict ticket price movements, inventory trends, and demand fluctuations. Optimized AI services with ONNX to cut production inference time from 6 seconds to 2 seconds.

AI/ML Engineer at The OT Foundation, INC

October 1, 2023 - September 1, 2025

Developed document question-and-answer system using OpenAI API and LangChain; accelerated search by up to 70%. Built distributed Java Spring Boot and Python backend services supporting distributed ML pipelines, REST APIs, vector search workflows, and scalable AI-powered document intelligence on AWS and Google Cloud. Architected and deployed production ML pipelines using PyTorch, TensorFlow, HuggingFace, MLflow, LangChain, and LLamaIndex, improving system performance by 30%. Streamlined data labeling with Active Learning and Clustering, reducing data labeling duration by 30%. Owned the AI initiatives roadmap, driving experimentation with RAG systems and deep learning; ensured best practices across ML lifecycle and built distributed systems with BigQuery, Pinecone, and MLOps tooling, reducing deployment time by 40% and achieving 99.9% uptime.

AI/ML Engineer at W3SalesMart, LLC

March 1, 2022 - February 1, 2023

Architected Recommendation Engine systems using Python, Scikit-learn, NumPy, and Pandas; integrated with product platforms to drive 30% revenue growth through personalized user experiences. Implemented REST APIs for ML model serving and automated data workflows using SQL and BigQuery; optimized query performance leading to 45% faster inference times. Partnered with product managers to translate AI strategy into functional solutions and delivered iterative improvements through continuous experimentation. Built and deployed Computer Vision models for real-time analysis, improving user engagement metrics by 40% through enhanced visual search capabilities.

ML/Data Engineer at OT EQUITY, LLC

November 1, 2020 - October 1, 2021

Architected technical infrastructure for ML data pipelines and microservices using Python, PostgreSQL, MongoDB, and BigQuery; improved data processing performance by 40% and 30% faster data retrieval for model training workflows. Built scalable backend services with SQL query optimization and distributed system design. Developed deep learning prototypes and LLM-powered data analysis tools, reducing processing time by 50% and enabling rapid experimentation for new AI features. Implemented MLOps workflows with Docker containers and automated CI/CD pipelines, enhancing deployment reliability and reducing support overhead by 35%.

Data Engineer at Digital Planet Creative

February 1, 2018 - October 1, 2020

Managed data engineering tasks including data collection, ingestion, and transformation, preprocessing large datasets with Python to support analytical initiatives. Collaborated with cross-disciplinary teams to integrate AI/ML innovations into business processes, delivering scalable solutions that leveraged data-driven insights for process optimization and enhanced decision-making.