ParhamKhoshSolat

In April 2024 I stood in front of Fater S.p.A.'s leadership (the Procter & Gamble joint venture behind Pampers Italia) presenting a map that ranked twenty Naples districts by store-expansion potential. Behind the map: MySQL joins between Fater's proprietary sales records and Italian census data, plus a Python geospatial pipeline. In front of it: an executive who could read the answer in five seconds. The jury picked the work for individual recognition.

That pattern repeats across this site. A vision-language model I fine-tuned on 150,000 image-question pairs, shipped as a public web demo where anyone uploads a photo and asks questions about it. A streaming pipeline (Apache Kafka, PySpark) that groups daily stock prices into market patterns. A tournament of eleven models that chose the pest-outbreak detector which never misses a rare event, the one case a farmer cannot afford to lose.

My newest work leans into reinforcement learning. Six warehouse vehicles routed by classical and learned planners alike, all under a collision shield that makes crashes structurally impossible. An agent that repairs damaged photos by chaining small specialist networks, reimplemented from a CVPR paper and extended with its unreleased fine-tuning. Both are live demos you can try. The same thread runs into my MSc thesis at Federico II, on how a learning robot can stay transparent and trustworthy to the person it learns from.

What I'm after: a team that values clarity over cleverness and ships work to real users. Strong in Python, SQL (CTEs, window functions, query optimisation), PyTorch, HuggingFace Transformers, reinforcement learning, Apache Kafka, PySpark, Tableau, and Power BI.

Naples-based. Data Analyst, Data Scientist, or ML Engineer roles in Italy and remote across the EU. English C1.