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I am an AI/ML Engineer with 7 years of experience delivering scalable machine learning and Generative AI solutions across fintech and healthcare, building data-driven systems for high-volume decision-making and enterprise workflows. I specialize in large language models, retrieval-augmented generation, and transformer-based NLP, using Python, PyTorch, and Hugging Face to develop intelligent applications for text processing and automation. I enjoy designing production-grade AI systems with real-time inference, streaming data pipelines, and feature engineering, plus end-to-end MLOps for reliable model lifecycle management. I’m passionate about building enterprise LLM applications with LangChain and vector search, deploying secure containerized services, and collaborating across teams to translate complex problems into impactful AI solutions.…I am an AI/ML Engineer with 7 years of experience delivering scalable machine learning and Generative AI solutions across fintech and healthcare, building data-driven systems for high-volume decision-making and enterprise workflows. I specialize in large language models, retrieval-augmented generation, and transformer-based NLP, using Python, PyTorch, and Hugging Face to develop intelligent applications for text processing and automation. I enjoy designing production-grade AI systems with real-time inference, streaming data pipelines, and feature engineering, plus end-to-end MLOps for reliable model lifecycle management. I’m passionate about building enterprise LLM applications with LangChain and vector search, deploying secure containerized services, and collaborating across teams to translate complex problems into impactful AI solutions.

Anoop Garige

AI Engineer, Full Stack Developer, Back-End Developer, +2

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I am an AI/ML Engineer with 7 years of experience delivering scalable machine learning and Generative AI solutions across fintech and healthcare, building data-driven systems for high-volume decision-making and enterprise workflows. I specialize in large language models, retrieval-augmented generation, and transformer-based NLP, using Python, PyTorch, and Hugging Face to develop intelligent applications for text processing and automation. I enjoy designing production-grade AI systems with real-time inference, streaming data pipelines, and feature engineering, plus end-to-end MLOps for reliable model lifecycle management. I’m passionate about building enterprise LLM applications with LangChain and vector search, deploying secure containerized services, and collaborating across teams to translate complex problems into impactful AI solutions.…I am an AI/ML Engineer with 7 years of experience delivering scalable machine learning and Generative AI solutions across fintech and healthcare, building data-driven systems for high-volume decision-making and enterprise workflows. I specialize in large language models, retrieval-augmented generation, and transformer-based NLP, using Python, PyTorch, and Hugging Face to develop intelligent applications for text processing and automation. I enjoy designing production-grade AI systems with real-time inference, streaming data pipelines, and feature engineering, plus end-to-end MLOps for reliable model lifecycle management. I’m passionate about building enterprise LLM applications with LangChain and vector search, deploying secure containerized services, and collaborating across teams to translate complex problems into impactful AI solutions.

Available to hire

I am an AI/ML Engineer with 7 years of experience delivering scalable machine learning and Generative AI solutions across fintech and healthcare, building data-driven systems for high-volume decision-making and enterprise workflows. I specialize in large language models, retrieval-augmented generation, and transformer-based NLP, using Python, PyTorch, and Hugging Face to develop intelligent applications for text processing and automation.

I enjoy designing production-grade AI systems with real-time inference, streaming data pipelines, and feature engineering, plus end-to-end MLOps for reliable model lifecycle management. I’m passionate about building enterprise LLM applications with LangChain and vector search, deploying secure containerized services, and collaborating across teams to translate complex problems into impactful AI solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Senior Machine Learning Engineer at PayPal

February 1, 2025 - Present

Engineered fraud detection and risk scoring models in Python and PyTorch on AWS SageMaker, identifying high-risk payment patterns and lowering false positives by 28% to improve checkout accuracy. Built distributed real-time inference services with FastAPI, Kafka, Redis, Docker, and Kubernetes for scalable low-latency model serving across payment workflows. Developed feature engineering pipelines with PySpark and SQL from device, geo-location, and velocity signals, boosting predictive accuracy for fraud tasks. Automated model lifecycle workflows using MLflow and Airflow to retrain and version models, reducing production drift. Created LLM-based fraud investigation copilots using LangChain and RAG to enable contextual case analysis and reduce manual review effort. Implemented AI agent workflows to orchestrate fraud investigation tasks and improved analyst decision support. Optimized inference with async patterns and Redis caching to reduce latency during peak loads. Established monitorin

AI/ML Engineer (Healthcare Analytics Platform) at Cardinal Health

June 1, 2024 - December 31, 2024

Designed LLM-powered multi-agent healthcare assistants to streamline patient engagement workflows, reducing clinician response time. Built retrieval systems over EHR/diagnostic datasets using embeddings and vector search to improve information access and retrieval accuracy. Developed Transformer-based NLP pipelines to summarize clinical notes and reports, and fine-tuned LLMs using LoRA/PEFT to improve domain-specific responses.

AI/ML Engineer (Healthcare Analytics Platform) at Indus Health Plus

November 1, 2021 - June 30, 2023

Created healthcare analytics pipelines to process clinical and screening data, generating patient risk scores that increased preventive screening conversions. Designed scalable REST APIs and microservices with FastAPI and Django to support analytics workflows. Integrated ML models for patient segmentation and recommendations and ingested FHIR/HL7 datasets via ETL pipelines for reliable downstream analytics.

Machine Learning Engineer (Platform & Data Systems) at Delasoft Pvt Ltd

July 1, 2020 - October 31, 2021

Established backend APIs using Django and Flask to automate enterprise workflows. Built data processing pipelines to convert raw operational data into structured datasets, and implemented asynchronous task processing with Celery and RabbitMQ to handle high-volume workloads. Deployed scalable applications on AWS (EC2, S3) and Docker/Kubernetes, and optimized PostgreSQL queries with Redis caching to improve performance.

Software Engineer (Data & Backend Systems) at Agere Systems India Pvt Ltd

July 1, 2018 - June 30, 2020

Developed backend workflow systems with Python and Django to digitize approvals and reporting, improving efficiency. Built REST APIs, optimized PostgreSQL queries, and implemented RBAC for secure access. Collaborated on frontend UI components with JavaScript to enhance workflow usability and integrated REST APIs with data pipelines for reliable enterprise delivery.