Hi, I'm
Passionate about building scalable data systems and turning raw data into actionable decisions.
I'm a Data Engineer & Analyst with hands-on experience designing and operating end-to-end data platforms in production environments.
Over the past year, I built lakehouse architectures on Microsoft Fabric, orchestrated ETL pipelines, and delivered Power BI dashboards used by business teams daily. I thrive at the intersection of engineering and analytics — I build the systems and I use them.
Outside of data, I explore blockchain systems, quantum computing algorithms, and optimization problems — because the best engineers stay curious.
Top of class
Top of class
End-to-end e-commerce data platform with Kimball star schema, Airflow orchestration and dbt transformations. Models fact tables, dimensions and slowly changing dimensions.
Medical image classification on colorectal histology (8 tissue classes, 5,000 images). CNN (MobileNetV2, transfer learning) vs Vision Transformer trained from scratch. Ensemble reaches ~93–95% accuracy. Grad-CAM explainability.
Audio transcription service with language detection and history tracking. Cloud deployment with infrastructure managed as code via Terraform.
Custom signal processing pipeline (FFT, MFCC, Hilbert transform) built from scratch on dual-modality sensor data (audio + vibration). Systematic comparison of 4 models × 4 feature sets × 3 classification objectives: impact zone, racket type, and racket age. Up to 100% test accuracy.
Full blockchain implementation from scratch — PoW and PoS consensus, RSA-signed transactions, smart contracts, digital wallets and an NFT collection.
Solving the Travelling Salesman Problem with Ant Colony Optimization, Tabu Search and Genetic Algorithm. Vectorised with NumPy and benchmarked across problem sizes.
Big Data processing on 100k+ orders from the Olist Brazilian e-commerce dataset — delivery KPIs, revenue aggregations, window functions, RDD operations. Full Hadoop cluster via Docker.
Weather API with caching, geocoding and a full CI/CD pipeline via GitHub Actions. Containerised and deployed with Docker.
Web platform for creating and grading MCQ exams with automated correction via image recognition. Reduces manual grading to zero.
Grover's search algorithm with oracle design and amplitude amplification. Simulated locally and executed on real IBM Quantum hardware via Qiskit Runtime.