Anoop G.
Senior AI/ML Engineer
Open to offersNew to PlatformAbout
Anoop G., an accomplished AI/ML Engineer based in Tampa, FL, brings over seven years of experience in delivering advanced machine learning and generative AI solutions within the fintech and healthcare industries. His work focuses on creating data-driven systems for high-volume decision-making and enterprise workflows. Anoop has a profound understanding of Large Language Models and transformer-based NLP techniques using Python and PyTorch. He excels at developing intelligent applications for text processing and automation. His expertise also extends to designing production-grade AI systems with real-time inference capabilities, utilizing streaming data pipelines powered by PySpark and Apache Kafka. In his role as a Senior Machine Learning Engineer at PayPal, Anoop played a pivotal role in engineering fraud detection models, significantly enhancing approval accuracy and reducing false positives. He holds a Masters in Data Science from the University of South Florida and a Bachelors in Computer Science from MVSR Engineering College in India. Anoop is recognized for his proficiency in deploying containerized services on cloud platforms like AWS and Azure, and his dedication to advancing MLOps frameworks using MLflow and Apache Airflow.
Experience
Senior Machine Learning Engineer
PayPal · 2025 — PresentEngineered fraud detection and risk scoring models in Python and PyTorch on AWS SageMaker. Developed distributed real-time inference services using FastAPI, Apache Kafka, Redis, Docker, and Kubernetes. Constructed feature engineering pipelines with PySpark and SQL to enhance model inputs. Automated model lifecycle workflows, reducing production drift incidents. Created LLM-based fraud investigation copilots utilizing LangChain, LangGraph, and RAG over dispute records. Orchestrated fraud investigation tasks with MCP-compatible AI agent workflows. Applied Transformer-based NLP models to analyze transaction narratives, improving anomaly detection. Optimized inference performance using async FastAPI patterns and Redis-based feature caching. Established monitoring pipelines to track model performance metrics.Artificial Intelligence Engineer
Cardinal Health · 2024 — 2024Designed multi-agent healthcare assistants powered by LLMs using Python, FastAPI, Azure OpenAI, LangGraph, and RAG. Built retrieval systems for EHR and diagnostic datasets with Embeddings and Vector Search. Developed Transformer-based NLP pipelines to summarize clinical notes and reports. Enhanced LLM workflows through LoRA, PEFT, and Prompt Engineering. Automated ingestion of healthcare data with Apache Airflow, SQL, and ETL pipelines. Deployed containerized AI services with FastAPI and Docker to support scalable AI systems. Constructed predictive models for patient risk scoring using Scikit-learn.AI/ML Engineer (Healthcare Analytics Platform)
Indus Health Plus · 2021 — 2023Created healthcare analytics pipelines using Python, Pandas, and Apache Airflow to process clinical data. Designed REST APIs and microservices with FastAPI and Django for appointment scheduling workflows. Integrated Scikit-learn models into production systems for patient segmentation. Enabled ETL pipelines for FHIR and HL7 datasets, standardizing healthcare data. Optimized PostgreSQL queries and implemented Redis caching for efficient report generation. Deployed applications using Docker on AWS infrastructure to support healthcare services. Implemented secure data access controls within FastAPI services.Machine Learning Engineer (Platform & Data Systems)
Delasoft Pvt Ltd · 2020 — 2021Established backend APIs using Django and Flask to automate enterprise workflows. Built data processing pipelines using Python and SQL for structured datasets. Implemented asynchronous task processing with Celery to handle background workloads. Designed user-facing components with React to streamline internal interactions. Deployed applications on AWS for stable production performance. Optimized PostgreSQL query execution for improved data retrieval speed. Developed secure authentication systems within API layers for data protection.Software Engineer (Data & Backend Systems)
Agere Systems India Pvt Ltd · 2018 — 2020Developed backend workflow systems using Python and Django to digitize approval processes. Built REST APIs with Django for data exchange between services. Improved database performance through PostgreSQL query optimization. Implemented role-based access control within Django services to enhance security. Designed user interface components using JavaScript to support workflow interactions. Translated business requirements into backend solutions to automate workflows. Refined data handling logic to enhance data consistency across systems.
Skills & Expertise
Education
- Masters in Data ScienceUniversity of South Florida · 2023 — 2024
- Bachelors in Computer ScienceMVSR Engineering College · 2014 — 2018