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Hi, I'm Rahul, an experienced AI/ML and Python developer with a passion for building large-scale, production-ready AI systems. I've had the opportunity to lead generative AI initiatives, develop real-time fraud detection and credit risk models, as well as design scalable data pipelines for some amazing companies. I love bridging the gap between ML research and engineering to deliver impactful AI-powered features. I enjoy mentoring teams and collaborating with cross-functional stakeholders to integrate AI-driven solutions that improve user experience and compliance. With strong skills in Python, ML frameworks, and cloud infrastructure, I thrive in fast-paced environments where I can innovate and contribute to AI strategies that drive business value.…Hi, I'm Rahul, an experienced AI/ML and Python developer with a passion for building large-scale, production-ready AI systems. I've had the opportunity to lead generative AI initiatives, develop real-time fraud detection and credit risk models, as well as design scalable data pipelines for some amazing companies. I love bridging the gap between ML research and engineering to deliver impactful AI-powered features. I enjoy mentoring teams and collaborating with cross-functional stakeholders to integrate AI-driven solutions that improve user experience and compliance. With strong skills in Python, ML frameworks, and cloud infrastructure, I thrive in fast-paced environments where I can innovate and contribute to AI strategies that drive business value.

Rahul

AI Engineer, Data Scientist, Developer, +2

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Hi, I'm Rahul, an experienced AI/ML and Python developer with a passion for building large-scale, production-ready AI systems. I've had the opportunity to lead generative AI initiatives, develop real-time fraud detection and credit risk models, as well as design scalable data pipelines for some amazing companies. I love bridging the gap between ML research and engineering to deliver impactful AI-powered features. I enjoy mentoring teams and collaborating with cross-functional stakeholders to integrate AI-driven solutions that improve user experience and compliance. With strong skills in Python, ML frameworks, and cloud infrastructure, I thrive in fast-paced environments where I can innovate and contribute to AI strategies that drive business value.…Hi, I'm Rahul, an experienced AI/ML and Python developer with a passion for building large-scale, production-ready AI systems. I've had the opportunity to lead generative AI initiatives, develop real-time fraud detection and credit risk models, as well as design scalable data pipelines for some amazing companies. I love bridging the gap between ML research and engineering to deliver impactful AI-powered features. I enjoy mentoring teams and collaborating with cross-functional stakeholders to integrate AI-driven solutions that improve user experience and compliance. With strong skills in Python, ML frameworks, and cloud infrastructure, I thrive in fast-paced environments where I can innovate and contribute to AI strategies that drive business value.

Available to hire

Hi, I’m Rahul, an experienced AI/ML and Python developer with a passion for building large-scale, production-ready AI systems. I’ve had the opportunity to lead generative AI initiatives, develop real-time fraud detection and credit risk models, as well as design scalable data pipelines for some amazing companies. I love bridging the gap between ML research and engineering to deliver impactful AI-powered features.

I enjoy mentoring teams and collaborating with cross-functional stakeholders to integrate AI-driven solutions that improve user experience and compliance. With strong skills in Python, ML frameworks, and cloud infrastructure, I thrive in fast-paced environments where I can innovate and contribute to AI strategies that drive business value.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior AI/ML Python Developer at Etsy

June 1, 2020 - Present

Led Etsy’s generative AI platform initiatives by designing and deploying solutions with LLMs (GPT-3.5, LLaMA), diffusion models, vector-based retrieval systems, and MLOps pipelines on Kubernetes and Kubeflow. Developed scalable generative AI microservices, retrieval-augmented generation systems, and prompt engineering strategies aligned with ethical AI standards. Built vector search engines, real-time data pipelines with Kafka and Spark, and integrated observability with Prometheus and Grafana. Mentored junior engineers and collaborated with cross-functional teams to enhance seller workflows and AI product features impacting millions of users.

Python Developer at Discover Financial Services

June 30, 2020 - July 18, 2025

Developed real-time financial risk monitoring and credit risk prediction models using XGBoost, PyTorch, and TensorFlow. Implemented real-time fraud detection pipelines and optimized deployments on AWS ECS with TensorRT for low latency. Built RESTful APIs with FastAPI, large-scale data processing pipelines with Apache Spark and Kafka, and compliance reporting automation with Python and AWS Lambda. Managed deployment automation using Jenkins, Docker, Kubernetes on AWS EKS, and monitored systems with ELK Stack. Integrated secure data flows with Apache NiFi and automated fraud detection workflows with AWS Step Functions.

Software Engineer at Fiserv

July 31, 2018 - July 18, 2025

Developed Django-based backend systems for financial transaction processing and fraud detection services. Created RESTful APIs with Django REST Framework and built interactive fraud analytics dashboards with React.js. Implemented Redis caching, real-time fraud alerting with WebSockets, and scheduled ETL workflows with Apache Airflow. Deployed fraud detection microservices using Azure Kubernetes Service with secure authentication (OAuth 2.0, JWT). Integrated Elasticsearch and Kibana for real-time monitoring and logging of fraud anomalies.

Senior AI/ML Python Developer at Etsy

June 1, 2020 - Present

Led Etsy’s generative AI platform initiatives by designing and deploying state-of-the-art solutions involving LLMs, diffusion models, and vector-based retrieval systems. Architected end-to-end ML workflows, optimized model performance, and built AI features impacting millions. Developed generative AI models such as GPT-3.5 and Stable Diffusion for automating product descriptions and marketing content. Engineered a Retrieval-Augmented Generation system using LangChain, OpenSearch, and Pinecone. Fine-tuned foundation models including LLaMA with DeepSpeed for efficient multi-GPU training. Developed a scalable Kubeflow MLOps workflow on Kubernetes with CI/CD and infrastructure as code. Built inference microservices with FastAPI providing sub-100ms latency. Integrated observability tools like Prometheus, Grafana, and OpenTelemetry. Mentored junior engineers and collaborated with stakeholders to embed AI-powered tools in seller workflows.

Python Developer at Discover Financial Services

June 1, 2020 - July 18, 2025

Developed real-time financial risk monitoring and compliance systems processing high-frequency trading data. Designed XGBoost-based credit risk models integrated into underwriting pipelines with MLflow tracking. Built PyTorch fraud detection models deployed as TensorRT-optimized containers on AWS ECS for low-latency responses. Developed FastAPI RESTful APIs for trade validation and compliance reporting. Created scalable Spark and Spark Streaming data pipelines for trade analytics and anomaly detection. Implemented PostgreSQL and Amazon Redshift data warehousing solutions. Designed interactive Angular compliance dashboards with real-time charting and Redis caching. Automated deploy pipelines with Jenkins and AWS CodePipeline, and deployed microservices via Kubernetes on AWS EKS. Established monitoring with ELK Stack and automated fraud workflows with AWS Step Functions. Managed secure data flow using Apache NiFi and automated regulatory reporting with Python and AWS Lambda.

Software Engineer at Fiserv

July 31, 2018 - July 18, 2025

Developed Django backend systems for financial transaction processing and fraud detection using Django ORM and PostgreSQL. Built RESTful APIs with Django REST Framework enabling secure access to fraud insights. Created React.js fraud analytics dashboards for dynamic anomaly visualization. Optimized high-volume financial data management in PostgreSQL and integrated Redis caching. Automated ETL workflows using Apache Airflow. Developed real-time fraud alerting with WebSockets and used Celery/RabbitMQ for background processing. Deployed containerized microservices on Azure Kubernetes Service and Azure Functions. Implemented OAuth 2.0 and JWT authentication with RBAC. Integrated Elasticsearch and Kibana for fraud monitoring and alerts.