I’m a Data & Machine Learning Engineer with a strong educational foundation in Informatics and Econometrics (MSc) and a passion for transforming complex data into actionable business insights. With hands-on experience in building forecasting, causal reasoning, classification, and regression models — including open-source LLMs and Retrieval-Augmented Generation (RAG) — I specialize in bridging advanced AI techniques with real-world impact.
With a solid software engineering background in .NET/C#, I bring a robust, full-stack mindset to data and ML engineering projects. Currently, I’m focused on building scalable, future-proof data infrastructure and leading the implementation of AI models that solve core business problems.
💡 Key Achievements:
Replaced legacy infrastructure with a modern Databricks Lakehouse to enable a unified, scalable data platform across distributed sources.
Delivered a Data Chatbot for the product team, powered by RAG and open LLMs, to enhance decision-making.
Developed a classification model to identify “locals’ favorite restaurants” using enriched behavioral signals.
Created an automated reviews newsletter system for restaurant owners, leveraging self-hosted LLMs.
Introduced DORA metrics reporting to support engineering performance tracking.
Lead the company’s Data/AI Guild, focusing on knowledge sharing, AI ethics, and project acceleration initiatives.
🛠 Skills & Technologies:
Languages & Frameworks: Python (PySpark, Pandas, NumPy), C#, JS/TS
Platforms & Tools: Databricks, MLflow, Mosaic, Azure (SQL DB, CosmosDB, Cognitive Search, Data Factory, etc.)
Expertise: Statistical Modeling, ML Engineering, Causal Inference, Business Communication, RAG & LLM Integration, Data Infrastructure Design
Always open to discussing new technologies, data strategies, or collaborations at the intersection of ML, data engineering, and business impact.
2 sponsors have funded lwardzala’s work.
This goal will prove that the interest about reasoning systems and development BRRS is significant.
Featured work
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lwardzala/Json.Abstraction
Abstraction convertion functionalities for the .NET System.Text.Json library
C# 14 -
lwardzala/Business-Rules-Reasoning-System
Cross-Platform Business Rules Reasoning System. A tool for reasoning that provides integration between various systems and supports workflows.
C# 8 -
lwardzala/business_rules_reasoning
A Python-based logical reasoning system combining rule-based engines with Large Language Models (LLMs) for business automation. Supports deduction and hypothesis testing, partial fact completion, a…
Python 2