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Abhinav Prakash

@abhinavprakash3

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I build production GenAI, RAG, and AIOps systems for enterprise workflows.

India

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What I'm looking for

I'm looking to build production-grade AI/ML and GenAI systems, especially LLM, RAG, AIOps, and cloud-native solutions that improve reliability, traceability, and real-world business outcomes.

I'm building GenAI-driven AML solutions at Tredence Analytics, including automated case summarization and decision support for investigation workflows.

I develop LLM pipelines using RAG and agentic workflows, and implement evaluation and monitoring frameworks that improve output reliability, traceability, and robustness. I work closely with data engineering, compliance, and business teams to align systems with real-world AML requirements.

Previously at Ankercloud GmbH, I built end-to-end ML pipelines on AWS and GCP, integrated LLMs for document analysis, synthetic data generation, and RAG chatbots, and automated deployments through CI/CD and AWS SageMaker pipelines.

Experience

Work history, roles, and key accomplishments

Current

AIOps Consultant

Current

Tredence Analytics

Jun 2025 - Present (1 year 3 months)

Developed GenAI-driven solutions for AML systems, enabling automated case summarization and decision support. Built and deployed LLM-based pipelines (RAG + agentic workflows) for processing regulatory and investigation data.

Generative AI LLM RAG Agentic Workflows AML Python fastAPI Azure Evaluation Frameworks Monitoring

Machine Learning Engineer

Ankercloud GmbH

May 2023 - Jun 2025 (2 years 1 month)

Developed end-to-end ML pipelines covering data ingestion, preprocessing, model training, and deployment on AWS and GCP. Contributed to Generative AI initiatives, integrating LLMs for document analysis, synthetic data generation, and RAG chatbots.