Abhijith Suresh

I'm building an automated asset valuation model at Infotact Solutions, taking it from business framing through data pipelines and production deployment. I tuned an XGBoost regressor to R² 0.90 with RMSE 0.166 and use MLflow to ensure reproducibility and traceability.

I build Data & AI systems across the full lifecycle: ingesting and consolidating data, training and evaluating models, and serving them through FastAPI, Docker, AWS, and CI/CD pipelines.

My projects include a multimodal RAG copilot for enterprise PDFs that retrieves across text and images using CLIP, FAISS, and Groq LLaMA-4. I also built an insurance claim-appeal agent with auditable LangGraph workflows and source references for every claim.

As a final-year Data Science & Artificial Intelligence master's student at DSTI Paris, I'm seeking a six-month end-of-studies Data & AI Engineer consulting internship in Paris or Île-de-France. I'm especially interested in responsible AI governance, traceable deployments, and practical business impact.