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Anurag Kumar

@anuragkumar1

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Senior Machine Learning Engineer with expertise in NLP and Deep Learning.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can leverage my expertise in machine learning to drive impactful solutions and contribute to a forward-thinking team.

I am a Senior Machine Learning Engineer with over 10 years of experience specializing in Natural Language Processing (NLP), Generative AI, and Deep Learning. My journey has been defined by a passion for transforming innovative ideas into market-ready products, leveraging advanced machine learning techniques and methodologies.

At DashCloudAI, I lead the training of large language models and explore cutting-edge reinforcement learning algorithms. My work includes designing evaluation workflows and developing low-latency AI solutions that enhance reasoning capabilities. I have successfully engineered systems that parse thousands of documents with high retrieval accuracy, significantly improving performance metrics.

Previously, at Cloudera Fast Forward Labs, I focused on mitigating hallucination rates in retrieval-augmented generation systems and fine-tuning large language models for various applications. My collaborative approach has allowed me to work effectively with cross-functional teams, ensuring the successful execution of strategic roadmaps and innovative projects.

Experience

Work history, roles, and key accomplishments

Current

Senior Machine Learning Engineer

Current

DashCloudAI

Jan 2024 - Present (1 year 6 months)

Led training of LLM reasoning models using Reinforcement Learning algorithms and researched various reasoning methodologies. Designed attack strategies for red teaming and built multiple LLM evaluation workflows leveraging traditional metrics, human evaluation, and LLM-as-a-judge.

Senior Engineer, Machine Learning Research

Cloudera Fast Forward Labs

Jun 2020 - Dec 2023 (3 years 6 months)

Mitigated hallucination rates in RAG systems by improving retrieval efficiency through various methodologies and fine-tuned LLMs with over 13B parameters using advanced techniques. Collaborated with cross-functional teams to define and execute strategic roadmaps, co-authoring internal blogs and posts.

RAG QLoRA FlashAttention LLMs)Faiss LLM Kubernetes AWS EC2

Data Scientist

Deloitte Consulting

Sep 2016 - May 2020 (3 years 8 months)

Led research cycles to build an automated question answering system using ElasticSearch and HuggingFace models, and designed research to generate synthetic images with CycleGAN for dataset augmentation. Spearheaded experiments to improve document retrieval performance using new technologies like passage ranking and query expansion.