Open to opportunities

Raza Bangesh

@razabangesh

Message

Senior Machine Learning Engineer specializing in generative AI, MLOps, and production-grade ML systems.

United States

Message

What I'm looking for

I seek roles building production-grade generative AI and MLOps platforms, leading teams to deliver scalable, compliant ML services with measurable business impact.

I am a Senior Machine Learning Engineer and Data Scientist with 10+ years building and deploying large-scale AI/ML systems across fintech, SaaS, and enterprise domains.

I design and productionize generative AI and NLP solutions including RAG pipelines, LLM fine-tuning (GPT, LLaMA, Falcon), multimodal speech pipelines, and agentic AI, while establishing MLOps practices—CI/CD, monitoring, versioning—for scalable, compliant deployments.

I lead and mentor cross-functional teams, translate analytics into executive-level insights, and deliver measurable ROI through forecasting, econometrics, causal inference, and automated ML workflows.

Experience

Work history, roles, and key accomplishments

Current

Junior AI Engineer

Current

Anadea

Jan 2019 - Present (6 years 9 months)

Designed AI-driven automation and agentic systems integrating RPA with ML/NLP and built speech and RAG pipelines that reduced manual effort and improved retrieval accuracy; implemented MLOps and microservice deployments.

Agentic AI RAG Whisper Docker Kubernetes MLFlow REST APIs

Current

Lead ML Engineer

Current

Cogito Tech

Jan 2015 - Present (10 years 9 months)

Designed and deployed large-scale ML and NLP systems including RAG pipelines and domain-specific LLM fine-tuning, reducing forecast error and improving decision-making; led MLOps initiatives to productionize models with CI/CD, monitoring, and governance.

ML Engineering RAG (FAISS Pinecone Weaviate MLOps CI CD AWS Sagemaker PyTorch

Machine Learning Engineer

KlearStack

Jan 2012 - Jan 2019 (7 years)

Built and deployed ML models and forecasting systems (ARIMA, Prophet, LSTM) to improve demand prediction and pricing, and developed NLP/RAG pipelines to extract insights from unstructured text, delivering measurable ROI.