Aditi Raizada

I am a Data Science/ML professional with 7+ years of experience across machine learning, data engineering, analytics, NLP, GenAI, and production AI systems. My work has spanned cloud AI services, sales analytics, finance, insurance, and enterprise AI use cases.

I enjoy solving business problems end to end that includes understanding requirements, working with data, building models, deploying solutions, and measuring impact.

I have contributed to production AI services for Language AI and Document Understanding including PII relexification, language detection improvements, LLM-based key-value extraction, OCR/document pipelines, and model serving optimization.

I have also built business-focused ML solutions such as asset risk prediction, demand forecasting, RAG-based Product Q&A, and GNN based recommendation systems.

Some of these projects delivered measurable outcomes such as reducing manual review effort, improving reliability, supporting better sales decisions, and creating potential revenue impact.

My core skills include Python, SQL, Scikit-Learn, XGBoost, TensorFlow, PyTorch, Hugging Face, LLMs, RAG, prompt engineering, Docker, Kubernetes, RabbitMQ, Airflow, GitLab CI/CD, and cloud-based AI deployment. I am especially interested in GenAI, NLP, agentic AI, MLOps, and building scalable AI systems that are reliable, explainable, and useful for real users.

I am looking for roles where I can combine hands-on technical depth with business problem solving, contribute to high-impact AI/ML products, and continue growing in GenAI, LLM applications, and production-grade ML systems.