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Dixit User

@dixituser

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Senior Machine Learning Engineer specializing in GenAI, LLMs, and scalable MLOps.

United States

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What I'm looking for

I seek senior ML/AI roles building scalable GenAI and MLOps systems in cross-functional teams, emphasizing production reliability, privacy, and measurable product impact.

I am a results-driven Senior AI/ML Engineer with 9+ years of experience building production-grade machine learning and GenAI systems for enterprise and research settings. I have led projects spanning LLMs, Agentic AI, NLP, OCR, face recognition, fraud detection, and KYC, delivering measurable improvements in accuracy and operational efficiency.

At Salesforce I designed LLM-powered CRM assistants, multi-agent workflows, and serverless AI pipelines that reduced response times and infrastructure costs while improving lead conversion and user satisfaction. I have strong MLOps expertise—implementing CI/CD, model versioning, observability, and automated retraining using SageMaker, Kubeflow, MLflow, and Airflow.

I mentor engineers, collaborate cross-functionally, and prioritize privacy, security, and compliance in data pipelines. I seek roles where I can apply deep technical skill in Python, TensorFlow, PyTorch, Hugging Face, and cloud-native architectures to drive product innovation and scalable AI delivery.

Experience

Work history, roles, and key accomplishments

Staff Machine Learning Engineer

Salesforce

Jan 2023 - Oct 2025 (2 years 9 months)

Led LLM and GenAI integration for Salesforce CRM, designing agentic workflows and serverless AI pipelines that reduced response time by 50% and improved operational accuracy by 30%.

LLM AWS Sagemaker Kubeflow MLOps Pinecone TensorFlow PyTorch

Senior ML Engineer

Wright State University

Dec 2018 - Dec 2022 (4 years)

Developed KYC identity verification, face recognition, and LLM-based tutoring systems that reduced manual checks by 40% and improved KYC approval accuracy by 35%.

OpenCV Dlib TensorFlow PyTorch Faiss Apache Spark Flask Airflow

Software Engineer

L&T Technology Services

Jun 2016 - Jun 2018 (2 years)

Built production AI microservices and ML inference pipelines for welding analytics and document search, improving weld classification accuracy by 25% and reducing search noise by 30%.

Flask Django XGBoost Docker Kubernetes SpaCy Tesseract ReactJS

Education

Degrees, certifications, and relevant coursework

Wright State University

Doctor of Philosophy, Computer Science and Engineering

Completed Doctor of Philosophy (PhD) in Computer Science and Engineering with research and applied work in machine learning, computer vision, and NLP.