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I am an AI/ML Engineer and Data Scientist with 3+ years of experience designing, developing, and deploying scalable ML/DL solutions in high-impact global environments. I specialize in personalization, recommendation systems, NLP, generative AI, fraud detection, and risk analytics, delivering measurable outcomes like improved engagement, reduced latency, and revenue growth. I thrive in end-to-end ML lifecycles and MLOps, leveraging cloud platforms and real-time data pipelines to build production-grade AI systems that scale to millions of users. I enjoy collaborating with cross-functional teams to translate data into actionable business value and secure, scalable deployments.…I am an AI/ML Engineer and Data Scientist with 3+ years of experience designing, developing, and deploying scalable ML/DL solutions in high-impact global environments. I specialize in personalization, recommendation systems, NLP, generative AI, fraud detection, and risk analytics, delivering measurable outcomes like improved engagement, reduced latency, and revenue growth. I thrive in end-to-end ML lifecycles and MLOps, leveraging cloud platforms and real-time data pipelines to build production-grade AI systems that scale to millions of users. I enjoy collaborating with cross-functional teams to translate data into actionable business value and secure, scalable deployments.

Navyasri Amand

Data Scientist, AI Engineer, AI Developer, +2

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I am an AI/ML Engineer and Data Scientist with 3+ years of experience designing, developing, and deploying scalable ML/DL solutions in high-impact global environments. I specialize in personalization, recommendation systems, NLP, generative AI, fraud detection, and risk analytics, delivering measurable outcomes like improved engagement, reduced latency, and revenue growth. I thrive in end-to-end ML lifecycles and MLOps, leveraging cloud platforms and real-time data pipelines to build production-grade AI systems that scale to millions of users. I enjoy collaborating with cross-functional teams to translate data into actionable business value and secure, scalable deployments.…I am an AI/ML Engineer and Data Scientist with 3+ years of experience designing, developing, and deploying scalable ML/DL solutions in high-impact global environments. I specialize in personalization, recommendation systems, NLP, generative AI, fraud detection, and risk analytics, delivering measurable outcomes like improved engagement, reduced latency, and revenue growth. I thrive in end-to-end ML lifecycles and MLOps, leveraging cloud platforms and real-time data pipelines to build production-grade AI systems that scale to millions of users. I enjoy collaborating with cross-functional teams to translate data into actionable business value and secure, scalable deployments.

Available to hire

I am an AI/ML Engineer and Data Scientist with 3+ years of experience designing, developing, and deploying scalable ML/DL solutions in high-impact global environments. I specialize in personalization, recommendation systems, NLP, generative AI, fraud detection, and risk analytics, delivering measurable outcomes like improved engagement, reduced latency, and revenue growth.

I thrive in end-to-end ML lifecycles and MLOps, leveraging cloud platforms and real-time data pipelines to build production-grade AI systems that scale to millions of users. I enjoy collaborating with cross-functional teams to translate data into actionable business value and secure, scalable deployments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at Meta, USA

November 1, 2024 - Present

Leading AI/ML initiatives for Meta's social media platforms, optimizing content discovery, personalization, and recommendations for 2B+ daily active users. Built production-grade pipelines, ensured low-latency inference, and developed generative AI features. Implemented LLM-powered tagging, summarization, and search-based QA; designed MLOps workflows with SageMaker, MLflow, and Kubernetes; created real-time streaming pipelines with Spark & Kafka; established model monitoring with Evidently AI and Grafana; mentored engineers on scalable ML architecture and secure API deployment.

Data Scientist at Wells Fargo, India

June 1, 2021 - August 1, 2023

Developed fraud detection, risk scoring, and customer behavior ML models; reduced false positives by ~25%, preventing over $3M in fraudulent transactions annually. Deployed end-to-end risk scoring pipelines on Spark and AWS; built CLV models to enhance cross-sell and retention; automated operational reporting with Power BI; collaborated with cross-functional teams for production integration and regulatory reporting.