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AI/ML Engineer with 5+ years of experience designing and deploying scalable machine learning and Generative AI solutions in recommendation systems and fraud detection domains. Strong expertise in NLP, transformer-based models, LLMs, RAG pipelines, and hybrid AI architectures using Python, PyTorch, TensorFlow, and SQL. Hands-on experience building production-grade ML systems on AWS SageMaker and Azure ML with strong knowledge of MLOps, CI/CD, Docker, Kubernetes, and FastAPI. Proven track record of improving model accuracy, reducing false positives, and delivering explainable AI solutions that drive measurable business impact. Effective collaborator with experience working across product, engineering, analytics, and business teams to deliverreliable, high-performance AI applications.…AI/ML Engineer with 5+ years of experience designing and deploying scalable machine learning and Generative AI solutions in recommendation systems and fraud detection domains. Strong expertise in NLP, transformer-based models, LLMs, RAG pipelines, and hybrid AI architectures using Python, PyTorch, TensorFlow, and SQL. Hands-on experience building production-grade ML systems on AWS SageMaker and Azure ML with strong knowledge of MLOps, CI/CD, Docker, Kubernetes, and FastAPI. Proven track record of improving model accuracy, reducing false positives, and delivering explainable AI solutions that drive measurable business impact. Effective collaborator with experience working across product, engineering, analytics, and business teams to deliverreliable, high-performance AI applications.

Sri Lekkha

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AI/ML Engineer with 5+ years of experience designing and deploying scalable machine learning and Generative AI solutions in recommendation systems and fraud detection domains. Strong expertise in NLP, transformer-based models, LLMs, RAG pipelines, and hybrid AI architectures using Python, PyTorch, TensorFlow, and SQL. Hands-on experience building production-grade ML systems on AWS SageMaker and Azure ML with strong knowledge of MLOps, CI/CD, Docker, Kubernetes, and FastAPI. Proven track record of improving model accuracy, reducing false positives, and delivering explainable AI solutions that drive measurable business impact. Effective collaborator with experience working across product, engineering, analytics, and business teams to deliverreliable, high-performance AI applications.…AI/ML Engineer with 5+ years of experience designing and deploying scalable machine learning and Generative AI solutions in recommendation systems and fraud detection domains. Strong expertise in NLP, transformer-based models, LLMs, RAG pipelines, and hybrid AI architectures using Python, PyTorch, TensorFlow, and SQL. Hands-on experience building production-grade ML systems on AWS SageMaker and Azure ML with strong knowledge of MLOps, CI/CD, Docker, Kubernetes, and FastAPI. Proven track record of improving model accuracy, reducing false positives, and delivering explainable AI solutions that drive measurable business impact. Effective collaborator with experience working across product, engineering, analytics, and business teams to deliverreliable, high-performance AI applications.

Available to hire

AI/ML Engineer with 5+ years of experience designing and deploying scalable machine learning and Generative AI solutions in recommendation systems and fraud detection domains. Strong expertise in NLP, transformer-based models, LLMs, RAG pipelines, and hybrid AI architectures using Python, PyTorch, TensorFlow, and SQL. Hands-on experience building production-grade ML systems on AWS SageMaker and Azure ML with strong knowledge of MLOps, CI/CD, Docker, Kubernetes, and FastAPI. Proven track record of improving model accuracy, reducing false positives, and delivering explainable AI solutions that drive measurable business impact. Effective collaborator with experience working across product, engineering, analytics, and business teams to deliverreliable, high-performance AI applications.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Afar

Advanced

Javanese

Advanced

Work Experience

AI/ML Engineer at Netflix

October 1, 2024 - Present

Orchestrated end-to-end development of a Generative AI-powered content recommendation engine, collaborating with data, product, and UX teams to ensure personalization, explainability, and scalability for real-time viewer engagement and retention optimization. Integrated explainable AI modules using LLM embeddings, prompt engineering, and RAG to improve transparency and interpretable recommendation reasoning across diverse viewer demographics. Engineered multimodal features from viewing history, ratings, and textual metadata using transformer encoders and generative embeddings, boosting accuracy by 12% and reducing algorithmic bias. Designed and deployed scalable RESTful APIs using FastAPI, Docker, and SageMaker, integrated with MLflow-driven CI/CD pipelines for low-latency, reliable, and explainable AI services.

AI/ML Engineer at MassMutual India

January 1, 2020 - July 1, 2023

Designed and developed an advanced insurance fraud detection system, collaborating with data scientists, analysts, and business stakeholders to improve operational efficiency and increase fraud detection accuracy by 25% across multiple insurance products. Used Generative AI, transformer-based architectures, GANs, and XGBoost ensemble models using Azure ML Studio, with hyperparameter tuning via grid search and Bayesian optimization, achieving 25% gain in detection and reducing false positives by 15%. Engineered robust features from structured and unstructured data using Python, SQL, and Databricks, uniting NLP embeddings and semantic features from claims to improve detection of subtle fraudulent patterns. Deployed fraud detection models on AWS SageMaker with automated pipelines via Lambda and S3, enabling real-time monitoring and 30% speed improvements. Applied transformer-based NLP and sequence models to analyze claims and agent notes, extracting semantic insights and enabling faster,