Languages & Core Computing
C, Python, Java, SQL, Scala, Bash, PySpark, Polars, DuckDB, MongoDB, Apache Arrow, CUDA, JAX
Machine Learning Engineer.
I build end‑to‑end ML systems across data science, data engineering, computer vision, and robotics with rigorous evaluation and production-minded implementation.
Technical skills
A quick scan of tools I work with.
Deep Learning & GenAI
PyTorch, TensorFlow, Keras, Hugging Face Transformers, LLM fine-tuning, RAG, vector DBs, quantization (4-bit/8-bit)
Computer Vision & Signal Processing
OpenCV, TorchVision, Detectron2, object detection, segmentation, OCR, FFT, 2D convolutions
ML / Data Engineering
Time series analysis, anomaly detection, feature engineering, spatial-temporal modeling, Spark, Pandas, NumPy, Dask
Cloud & MLOps
Docker, Kubernetes, AWS SageMaker, Vertex AI, MLflow, Airflow, NVIDIA Triton, scalable inference patterns
Robotics & Autonomy
ROS2, ArduPilot, MuJoCo, SocNavGym, Gazebo, LiDAR SLAM, A*, ICP-EKF, waypoint following, RL (DQN, PPO, DDPG)