AI / ML Engineer

The candidate is an experienced Java Full-Stack AI Developer with expertise in machine learning, MLOps, and microservices. They have strong skills in developing scalable applications using Java, Python, and Spring Boot, while also integrating AI and machine learning solutions into production environments. The candidate is proficient in cloud technologies such as Kubernetes, Docker, AWS, and OpenShift, leveraging these tools for application deployment, monitoring, and scaling. They have a solid background in implementing and optimizing machine learning models, with experience in building and deploying object detection systems using frameworks like YOLO, SSD, and PyTorch. The candidate has worked with various MLOps tools like ClearML and AWS SageMaker for model lifecycle management, including model validation, monitoring, retraining, and serving. With experience in both backend and frontend technologies, they have developed enterprise-level solutions integrating microservices, REST APIs, and databases like SQL and NoSQL. They are skilled in using CI/CD tools like GitLab for streamlined development workflows. The candidate has demonstrated leadership in guiding teams, collaborating with clients, and enhancing product performance through continuous model training and data versioning practices. They also have a proven track record in AI-driven solutions, including LLM-based source code analysis tools, and expertise in technologies like Langchain, ChromaDB, and RAG for context-aware question-answering systems. Their technical proficiency extends to real-time object detection pipelines, advanced GPU-based training, and optimization of model performance through innovative techniques.