Open to opportunities

Alexandru Solca

@alexandrusolca

Message

I build production-grade Generative AI, LLM, RAG, and machine learning systems for enterprise applications.

Romania

Message

What I'm looking for

I'm looking to build production-ready AI products, from proof of concept through deployment, with cross-functional teams solving enterprise problems using Generative AI, LLMs, RAG, agentic workflows, and scalable ML infrastructure.

At Alighieri, I design and deploy enterprise Generative AI platforms for knowledge retrieval, document intelligence, and business process automation. I build AI agents with LangChain and LangGraph, scalable retrieval systems, and evaluation and observability pipelines for reliable production performance.

Previously at BETEGY and Scandiweb, I delivered forecasting, customer intelligence, recommendation, NLP, semantic search, and conversion-prediction solutions. I've deployed machine learning services using Python, SQL, Docker, Kubernetes, FastAPI, AWS, and cloud-native workflows.

My work spans research through production, including predictive modeling, anomaly detection, optimization, model serving, and AI platform engineering.

Experience

Work history, roles, and key accomplishments

Current

Senior AI/ML Engineer

Current

Alighieri®

Feb 2024 - Present (2 years 6 months)

Designed and deployed enterprise Generative AI platforms leveraging LLMs, RAG architectures, and agentic workflows. Built production-grade AI agents and scalable retrieval systems, and implemented AI evaluation and observability frameworks.

Python LangGraph LlamaIndex PyTorch Hugging Face OpenAI API AWS Kubernetes Docker MLFlow fastAPI Pinecone VLLM RAG AI Agents Prompt Engineering Vector Search AI Evaluation AI Observability

Senior Data Scientist

BETEGY

Aug 2022 - Jan 2024 (1 year 5 months)

Developed machine learning and predictive analytics solutions for forecasting and customer intelligence. Built time-series forecasting models and scalable feature engineering workflows, and delivered early-stage LLM-powered analytics solutions.

Python XGBoost TensorFlow scikit learn MLFlow SQL Airflow AWS Docker Spark OpenAI API Time Series Modeling Feature Engineering

Machine Learning Engineer

Scandiweb

Jan 2020 - Jul 2022 (2 years 6 months)

Developed machine learning solutions for customer segmentation, recommendation systems, and conversion prediction. Built recommendation engines and NLP systems using transformer models, and deployed ML services via containerized infrastructure.

Python TensorFlow PyTorch scikit learn Hugging Face Transformers SQL Docker Kubernetes AWS fastAPI Recommendation Systems NLP Semantic Search CI CD

Artificial Intelligence Researcher

LeyLine

Jul 2016 - Dec 2019 (3 years 5 months)

Conducted research and development in machine learning, predictive analytics, and anomaly detection. Developed experimental AI systems for predictive modeling and intelligent decision support, and contributed to scalable AI platforms.