Python, agentic AI systems, RAG systems, DevOps practices for AI, vector databases, LLM orchestration, AI frameworks, cross-platform development, prompt engineering

Ml, Hadoop, Graphql, Scala, Sql, React, Typescript, Pandas, Gcp, Javascript, Docker, Terraform, Spark, Azure, Kubernetes, Python, AWS, LangChain, LLMs, Scikit-learn, Ai

Machine Learning, Natural Language Processing, Algorithm Design, Clustering, Tensorflow, Pytorch, Statistical Analysis, Python, Computer Vision, Ai Development, Trajectory Prediction, Probabilistic Modeling, Spatiotemporal Data Analysis, anomaly detection, Large Language Models

Microservices, Python, Localization, Gazebo, telemetry visualization, Webots, distributed data fusion, motion planning, Unity Robotics, GRPC, distributed autonomous systems, Boids algorithms, Control Systems, DDS, petri nets, Contract Net Protocol, swarm coordination, decentralized planning, ROS2, SLAM, Particle Swarm Optimization, Isaac Sim, inter-robot communication frameworks, multi-robot collaboration systems, swarm robotics, task allocation, real-time systems, robotic autonomy stacks, robot-to-cloud communication

Java, Maven, Sql, UNIX, Google Cloud, Nosql, Git, Javascript, Linux, Azure, Python, AWS

Pyspark, Hadoop, Scala, Sql, Gcp, Python, AWS, embedding pipelines, RAG-enabled data architectures, vector databases, embedding models, model life cycle management, machine learning techniques, R, knowledge bases, GenAI solutions, post-training and fine-tuning LLMs, semantic search