Engineering for the real world.

As a founding engineer of a very small company, I work wherever it's needed most, from implementing core features and improving developer workflows to supporting our open-source community and helping shape technical direction.

• Lead the implementation of core features across our drone simulation platform.
• Maintain our open-source repositories and review community contributions.
• Mentor and supervise junior engineers across multiple projects.
• Integrate AI models and AI-driven workflows into the platform to support autonomous behaviors, perception, and developer tooling.
• Designed and maintain our CI/CD pipeline, reducing review overhead and deployment friction.
• Provide technical support to the community through GitHub and Discord.
• Prepare and deliver technical demos for potential clients.
• Collaborate on technical planning, architecture, and product decisions.

Designed and implemented an embedded virtual assistant for industrial heavy machinery, including loaders, excavators, and aerial lifts.

• Combined ASR , RAG , and TTS into a speech-enabled assistant experience.
• Fine-tuned language models for domain-specific applications.

• Developed computer-vision pipelines with PyTorch , OpenCV , CUDA , Python , and C++ .
• Deployed AI services to Jetson Nano edge devices and managed the C++ build infrastructure.
• Built monitoring dashboards with Grafana and Prometheus ; deployed services with Docker Compose and GCP.
• Fine-tuned vision-transformer models for task-specific applications.

Developed simulation tools to generate artificial datasets for training AI-based aircraft navigation algorithms, ensuring compliance with specific requirements. Used C++ for core development and Unreal Engine for high-fidelity visual rendering, enhancing the realism of simulations. Also I employed Python for implementing ROS nodes and handling API client calls, effectively integrating various technologies to produce robust and accurate training environments.

• Designed and implemented data collection and ingestion pipelines using Python ’s Apache Beam SDK, optimizing data processing workflows.
• Developed Android applications focused on sensor data collection, augmented reality (AR) features, and live data plotting using Android Java SDK and C++ .
• In charge of code integration, testing, maintenance, and review to ensure high-quality software.
• Mentored new hires in introductory-level C++ training, enhancing their foundational programming skills.
• Conducted technical interviews , assessing candidate qualifications and technical expertise.
• Participated in research group using ROS and SLAM techniques.