• AI/ML Solution Architect — ability to balance algorithmic rigor, pragmatism, and scalability through fit-for-purpose software solutions, achieving project goals with high efficiency and cost-effectiveness. Proven track record of delivering large-scale AI/ML projects on GCP (Vertex AI, BigQuery, Dataflow, Dataproc, etc.) and Azure (Azure ML, Databricks, etc.). • End-to-End ML Practitioner — deep theoretical grounding and hands-on experience across the full ML lifecycle: data curation, EDA, feature engineering, modeling, validation, and hyperparameter tuning, applied to tabular, time series, NLP, and vision problems. Complemented by extensive knowledge of deterministic and probabilistic algorithms, as well as optimization and numerical computing techniques. • Performance-Driven Pythonista — known for clarity-focused logic design and sharp awareness of execution-time code behavior, resource lifecycles, and system bottlenecks. Experienced in low-level performance tuning via Cython (C/C++ integration) and Numba. Expertise in concurrency and parallel programming using multi-processing, multi-threading, async I/O coroutines, and distributed systems including Dask, PySpark, Beam, and Ray. • Business-Minded Data Communicator — adept at delivering insight through analytical rigor and visual storytelling, and applying quantitative methods to simulate, optimize, and guide critical decisions aligned with business goals. Skilled at translating complex technical content into compelling narratives for stakeholders and leadership.