About Me

I am an AI & Robotics Engineer passionate about building intelligent systems that bridge the gap between perception and action. My work spans multi-modal models, computer vision, and scalable software architecture.

Currently, I am a Research Assistant at the NSU Intelligent Robotics Lab, focusing on:

• AI for Robotics: Integrating LLMs and VLLMs into robotic control pipelines.
• Simulation: Developing high-fidelity environments in NVIDIA Isaac Sim and Gazebo.
• Reinforcement Learning: Training agents for complex manipulation and navigation tasks.

Professional Experience

Previously, as a Junior AI Engineer at NITEX, I designed and deployed an automated fashion attributes tagging pipeline using multi-modal models. I also engineered scalable microservices for document parsing using FastAPI and AWS.

My open-source journey includes:

• Google Summer of Code ‘22 (TensorFlow): Implemented Swin Video Transformer models, converting weights from PyTorch to TensorFlow.
• DeepPavlov.ai Research Intern: Developed dialogue graphs from the MultiWOZ dataset.

Technical Stack

• Languages: Python, C++, CUDA
• AI/ML: TensorFlow, PyTorch, LLMs, VLLMs, Nvidia Triton
• Robotics: ROS 2, Nav2, ros2_control, Gazebo, Isaac Sim
• DevOps & Cloud: Docker, Kubernetes, AWS, PostgreSQL, ElasticSearch

Beyond code, I am a Qiskit Developer Advocate at IBM and a Microsoft Learn Student Ambassador, committed to empowering the next generation of tech leaders.