Arth Bhavin Patel

About Arth Bhavin Patel

I’m a passionate and results-driven Senior Software and AI Engineer with 5+ years of experience across backend engineering, full stack development, data engineering, cloud infrastructure, DevOps, and GenAI/LLM systems. I love building scalable platforms, solving complex distributed system challenges, and creating AI-powered solutions that deliver real business impact. What I Do Best!Backend Engineering: Build high-performance services with Python, Django, FastAPI, Flask, and Node.js, designing scalable REST/GraphQL microservices.Cloud Architecture: Design and deploy cloud-native systems on AWS (EKS, Lambda, S3, RDS, DynamoDB, Redshift) with secure, enterprise-grade architectures.DevOps & Automation: Automate infrastructure using Terraform, AWS CDK, CloudFormation, and implement CI/CD with GitHub Actions, Jenkins, GitLab CI.Data Engineering: Build and orchestrate large-scale ETL/ELT pipelines using Apache Airflow, PySpark, Kafka, Kinesis, AWS Glue, integrating data into Snowflake and Redshift.AI/ML & GenAI: Develop AI/ML pipelines with PyTorch, TensorFlow, Scikit-learn, and build GenAI/RAG systems using LangChain, OpenAI, AWS Bedrock, and vector databases.Observability & Reliability: Improve system performance using Redis caching, containerization (Docker/Kubernetes), and monitoring tools like CloudWatch, Prometheus, Grafana. Key Highlights:* Delivered AI-powered analytics, personalization, and automation across media, fintech, and healthcare platforms.* Built enterprise-grade ETL and real-time streaming pipelines, improving data reliability, throughput, and reporting accuracy.* Designed microservices and cloud-native architectures that reduced latency, improved uptime, and enhanced scalability.* Delivered GenAI automation pipelines for document intelligence, break analysis, compliance workflows, and operational insights.* Migrated legacy systems to Kubernetes, serverless, and containerized environments, improving efficiency and reducing operational overhead.* Collaborated cross-functionally with product, data science, DevOps, and cloud teams to deliver outcomes aligned with business goals. Let’s Connect!I enjoy working with teams who are building scalable platforms, AI-powered systems, cloud-native architectures, and data-driven solutions.If you\'re working on something exciting in backend, cloud, AI/ML, or data engineering — let’s connect and exchange ideas!

Experience

1. Senior Software Engineer

   Clearwater Analytics

   Sep 2024 — Present

   At ClearWater Analytics, I build large-scale backend, data, and AI systems that support portfolio accounting, reconciliation workflows, and financial analytics. I design distributed microservices using Python, FastAPI, and Django. Developed ML and GenAI solutions for anomaly detection and financial insights and built RAG pipelines for semantic search across custodial and transaction data. I also build ETL/ELT workflows with Airflow, PySpark, Snowflake, and Redshift, and deploy cloud-native services on AWS with Terraform and CDK.* Built Python (Django/FastAPI) and Node.js microservices for portfolio analytics, valuation, and reconciliation APIs.* Developed ML pipelines with PyTorch, TensorFlow, and Scikit-learn for anomaly detection and cashflow irregularity prediction.* Developed GenAI platforms using LangChain, LangGraph, OpenAI, and AWS Bedrock for reconciliation explanations and analytics insights* Designed RAG pipelines with Pinecone, Weaviate, and FAISS to semantically search custodial statements, compliance rules, and exception history.* Built ETL/ELT workflows using Airflow, PySpark, Glue, Snowflake, and Redshift for high-volume financial data ingestion and automation.* Created interactive dashboards with React.js, Next.js, Angular, and Vue.js for real-time exposures, pricing deltas, and exception monitoring.* Deployed microservices on AWS (EKS, Lambda, EC2, S3, RDS) using Terraform, AWS CDK, and CloudFormation for scalable infrastructure.* Implemented streaming architectures using Kafka, Kinesis, and Spark Streaming for sub-second anomaly detection.* Set up observability with Prometheus, Grafana, CloudWatch, and structured logging for end-to-end operational visibility.* Enforced CI/CD pipelines with Jenkins, GitHub Actions, and GitLab CI for automated testing, linting, and secure releases.

Education

• New Jersey Institute of Technology

  Master's degree, Computer Science