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Adam Danicki
Entry-Level Software Engineer specializing in full-stack and machine learning
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Robotics software builder who delivered an end-to-end gesture-controlled drone system using an ESP32+IMU stream and real-time ML inference mapped to Tello SDK commands. Drove reliability improvements by instrumenting the pipeline with timestamps/logging and matching training vs runtime preprocessing, reaching ~94% gesture classification accuracy; experienced with Docker/Compose for reproducible multi-service deployments.
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Key Strengths
- End-to-end ownership from data collection through real-time control integration
- Built real-time gesture classification pipeline for drone control using IMU data
- Improved real-time reliability by aligning training and runtime preprocessing
- Systematic debugging via stage-level timestamps/logging to make issues reproducible
- Achieved ~94% gesture classification accuracy with FFT features + RBF SVM tuning
- Strong Docker-based reproducible environment setup (Compose, configs, dependencies)
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