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I'm Nirav Patel, a senior software engineer with 9+ years of experience building scalable, distributed backend systems using Python, Go, and modern cloud platforms. I design high-performance microservices, event-driven architectures, and robust data pipelines across AWS, GCP, and Azure, with asynchronous processing, Kafka/SQS/SNS, and Kubernetes-based deployment. I’ve applied AI/ML concepts pragmatically within backend architectures to improve intelligence in production systems. I enjoy solving hard problems with a focus on scalability, latency, and cost. I thrive in cross-functional teams, mentor junior engineers, and pursue continuous improvement—especially around observability, reliability, and secure data practices. When appropriate, I integrate AI/LLM-powered capabilities into production workflows to enhance decision making and automation.…I'm Nirav Patel, a senior software engineer with 9+ years of experience building scalable, distributed backend systems using Python, Go, and modern cloud platforms. I design high-performance microservices, event-driven architectures, and robust data pipelines across AWS, GCP, and Azure, with asynchronous processing, Kafka/SQS/SNS, and Kubernetes-based deployment. I’ve applied AI/ML concepts pragmatically within backend architectures to improve intelligence in production systems. I enjoy solving hard problems with a focus on scalability, latency, and cost. I thrive in cross-functional teams, mentor junior engineers, and pursue continuous improvement—especially around observability, reliability, and secure data practices. When appropriate, I integrate AI/LLM-powered capabilities into production workflows to enhance decision making and automation.

Nirav Patel

Full Stack Developer, Web Developer, Back-End Developer, +5

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I'm Nirav Patel, a senior software engineer with 9+ years of experience building scalable, distributed backend systems using Python, Go, and modern cloud platforms. I design high-performance microservices, event-driven architectures, and robust data pipelines across AWS, GCP, and Azure, with asynchronous processing, Kafka/SQS/SNS, and Kubernetes-based deployment. I’ve applied AI/ML concepts pragmatically within backend architectures to improve intelligence in production systems. I enjoy solving hard problems with a focus on scalability, latency, and cost. I thrive in cross-functional teams, mentor junior engineers, and pursue continuous improvement—especially around observability, reliability, and secure data practices. When appropriate, I integrate AI/LLM-powered capabilities into production workflows to enhance decision making and automation.…I'm Nirav Patel, a senior software engineer with 9+ years of experience building scalable, distributed backend systems using Python, Go, and modern cloud platforms. I design high-performance microservices, event-driven architectures, and robust data pipelines across AWS, GCP, and Azure, with asynchronous processing, Kafka/SQS/SNS, and Kubernetes-based deployment. I’ve applied AI/ML concepts pragmatically within backend architectures to improve intelligence in production systems. I enjoy solving hard problems with a focus on scalability, latency, and cost. I thrive in cross-functional teams, mentor junior engineers, and pursue continuous improvement—especially around observability, reliability, and secure data practices. When appropriate, I integrate AI/LLM-powered capabilities into production workflows to enhance decision making and automation.

Available to hire

I’m Nirav Patel, a senior software engineer with 9+ years of experience building scalable, distributed backend systems using Python, Go, and modern cloud platforms. I design high-performance microservices, event-driven architectures, and robust data pipelines across AWS, GCP, and Azure, with asynchronous processing, Kafka/SQS/SNS, and Kubernetes-based deployment. I’ve applied AI/ML concepts pragmatically within backend architectures to improve intelligence in production systems.

I enjoy solving hard problems with a focus on scalability, latency, and cost. I thrive in cross-functional teams, mentor junior engineers, and pursue continuous improvement—especially around observability, reliability, and secure data practices. When appropriate, I integrate AI/LLM-powered capabilities into production workflows to enhance decision making and automation.

Skills

Experience Level

Expert

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Language

English

Fluent

Work Experience

Senior Application Development Engineer at Centene

February 1, 2025 - November 18, 2025

Leading the development of AI-powered health care automation platforms for claims adjudication, eligibility checks, and member engagement using Python (FastAPI, Flask) and JavaScript (React, Node.js). Architected microservice-based systems with Terraform and Ansible across Azure and AWS, ensuring reusability and security compliance. Implemented ML-enabled NLP pipelines for real-time processing and built secure RESTful and GraphQL APIs to integrate provider and payer data compliant with FHIR, HL7, and HIPAA. Established observability with Prometheus and ELK Stack for proactive performance management.

Senior AI & Python Developer at Integrichain

January 1, 2025 - January 1, 2025

Led backend development of rebate management pipelines supporting commercial and government payers using Python and Azure services. Spearheaded the development of a BPaaS PharmaLyze platform for automated adverse event reporting (AER), integrating AI/ML-driven matching, summarization, and classification workflows. Used Python-based profiling and cleansing to improve input data quality and reduce preprocessing time by 40%. Designed and deployed ML-powered scoring models for payer rebate data consistency and risk estimation, integrated into production workflows via microservices.

Senior Python Engineer at Merck Pharmaceutical

September 1, 2023 - September 1, 2023

Developed scalable ETL pipelines using AWS Glue, Amazon EMR, and PySpark to streamline healthcare data processing; built REST APIs (Django REST Framework) for data access; implemented real-time transaction monitoring and ML pipelines; designed data lake architectures and ensured HIPAA/PII compliance. Built serverless architecture components and CI/CD pipelines with Terraform and Ansible; deployed secure data storage and automated compliance reporting.

Python Django Developer at Kroll

May 1, 2020 - May 1, 2020

Developed scalable web applications with Python and Django; extended Django admin with custom dashboards and inline editing for non-technical stakeholders; automated recurring tasks with Celery and Redis for background processing. Built advanced form handling with Django Forms and Formsets, created CI/CD pipelines (GitHub Actions, Jenkins), and migrated legacy systems to modern microservices architecture.

Python Engineer at University of Michigan

July 1, 2022 - July 1, 2022

Developed data pipelines for business intelligence and automated reporting. Migrated legacy SQL databases to Azure Synapse Analytics for scalable data processing. Implemented RBAC and granular permissions with Django and React-based frontends. Built ETL pipelines, serverless architectures, and RESTful APIs to enable data access; designed dashboards and data visualization tools.

Software Developer at HealthEdge

February 1, 2018 - February 1, 2018

Built secure RESTful APIs for interoperable health care systems; integrated HIPAA-compliant security measures. Developed ETL pipelines and real-time analytics dashboards; implemented predictive analytics models for identifying high-risk patients and automated claim processing workflows. Deployed cloud-based storage solutions and CI/CD pipelines; provided mentorship to junior engineers and contributed to cross-functional teams.

Senior AI & Python Developer at Integrichain

October 1, 2023 - January 31, 2025

Led backend development of a BPaaS Pharmacy platform for automated adverse event reporting (AER), integrating ML-driven matching, summarization, and classification workflows. Built Python-based data pipelines (Pandas, Dask, PyArrow) to improve input data quality and reduce preprocessing time by ~40%. Implemented ML-powered scoring models for payer rebate data consistency and risk assessment, deployed via microservices. Developed embedding-based similarity search (FAISS, Azure Cognitive Search) to boost accuracy. Created and maintained internal service APIs, and implemented unit, integration, and performance tests. Automated Azure cloud infrastructure with Terraform and Ansible, reducing manual config time by ~50%. Migrated to IaC-driven deployment and integrated CI/CD via Jenkins/GitHub Actions.

Senior Python Engineer at Merck Pharmaceutical

August 1, 2022 - September 30, 2023

Developed ETL pipelines on AWS Glue, Redshift, and PySpark to streamline healthcare data processing. Built scalable REST APIs with Django REST Framework for high-traffic health apps with JWT/OAuth2 authentication. Implemented real-time transaction monitoring to detect fraud with high accuracy. Engineered event-driven workflows using Lambda/Step Functions to enable dynamic processing. Designed data lakes and optimized queries for fast analytics. Built ML-powered fraud/risk scoring pipelines and automated data validation, anomaly detection, and model deployment. Implemented CI/CD for IaC with Terraform and AWS CloudFormation, and integrated data governance measures.

Python Engineer at University of Michigan

June 1, 2020 - July 31, 2022

Developed data pipelines for business intelligence and automated reporting. Migrated legacy SQL databases to Azure Synapse Analytics for scalable processing. Implemented RBAC and granular permissions using Django auth, integrated with a React frontend. Built ETL pipelines for structured and unstructured data, and implemented serverless data processing with Lambda, Spark, and Airflow. Optimized Spark/SQL queries for large-scale processing and developed RESTful APIs for data integration. Implemented real-time logging/monitoring with ELK, CloudWatch, and DataDog, and applied NLP-based analysis for document classification. Built ML-powered scoring models for fraud/risk assessment and deployed via microservices. Implemented data encryption and HIPAA compliance measures.

Python Django Developer at Kroll

March 1, 2018 - May 31, 2020

Developed scalable Django-based apps with DRF for backend services, extended the admin interface with custom dashboards, and implemented advanced form handling with dynamic fields. Implemented background tasks with Celery/Redis for data synchronization and email reminders. Built CI/CD pipelines using GitHub Actions and Docker to deploy Django apps to AWS Elastic Beanstalk. Integrated NLP-driven text analytics for document classification and processing. Designed server-side validation, custom widgets, and dynamic fields; migrated from monolith to microservice architectures to improve deployment speed and fault isolation. Implemented OAuth2 authentication and integrated React front-end.

Software Developer at HealthEdge

October 1, 2016 - February 28, 2018

Built secure enterprise health care applications using Python, Django, and Flask. Integrated FHIR and HL7 standards for seamless health data exchange. Developed data ingestion pipelines for large-scale health data, and implemented HIPAA-compliant encryption and RBAC. Created real-time dashboards with React/D3 and built predictive analytics for high-risk patients. Automated claims processing workflows, reduced manual intervention, and deployed cloud-based storage with optimized SQL indexing for performance.

Senior Data Engineer at Centene

June 1, 2025 - January 1, 2026

Senior AI & Platform Engineer with expertise in Agentic AI and multi-cloud healthcare data platforms. Architected a secure in-house Agentic AI ecosystem replacing third-party services; implemented MCP wrappers in Go; designed zero-trust access controls; integrated FHIR/HL7 endpoints; built high-concurrency MCP servers and real-time AI control planes; led multi-cloud MLOps across AWS and Azure; optimized LLM inference through quantization and batching; created event-driven pipelines with Kafka, SQS/SNS, and Snowflake-based analytics; ensured data accuracy and scalable health care claims processing.

Senior Backend Engineer at Integrichain

October 1, 2023 - January 1, 2025

Senior Data & Software Engineer focusing on health care analytics and pharmacy claims processing. Architected a high-scale ELT framework in Snowflake to process millions of NCPDP claims; built a full-stack platform with Flask/FastAPI and Angular for real-time claim visualization and rebate analytics; implemented vector-search workflows and data lineage; established HIPAA/GDPR-compliant CI/CD pipelines and multi-cloud MLOps; led governance and data quality initiatives.

Senior Software Engineer at McKinsey & Company (American Express / Merck)

August 1, 2022 - September 1, 2023

Designed and deployed high-performance RESTful APIs using Django REST Framework on GKE and Cloud Run; built cloud-native multi-tenant SaaS platforms; advanced data architecture on GCP (BigQuery, Dataflow) and Vertex AI; implemented event-driven systems with Kafka, Pub/Sub, Kinesis, Lambda, and Step Functions; optimized SQL; built ETL pipelines; established CI/CD with GitHub Actions; ensured HIPAA/PII security and compliance; mentored engineers and drove scalable delivery.

Python Developer at ADP

June 1, 2020 - July 1, 2022

Software Engineer building secure fintech and credit risk platforms; implemented alternative credit scoring for non-traditional borrowers; real-time underwriting workflows; KYC and identity verification APIs; multi-tenant, audit-ready compliance; secured integration with external systems; built real-time dashboards and reporting.

Python Developer at HealthEdge

October 1, 2016 - February 1, 2018

Software Developer building secure, HIPAA-compliant health care applications; FHIR/HL7-compliant RESTful APIs; real-time data processing and microservices; Kubernetes/Docker; security and regulatory compliance including HITRUST and GDPR.

Senior Application Developer (Data & Platform) at Centene

June 1, 2025 - January 1, 2026

Designed and built high-performance distributed microservices using Python and Go, with event-driven architectures, asynchronous processing, and robust data pipelines across AWS, S3, and Snowflake; improved reliability, scalability, and latency for multi-cloud health care workflows.

Senior Python Engineer at Integrichain

October 1, 2023 - January 1, 2025

Architected scalable, fault-tolerant backend systems for high-volume health care data processing; implemented distributed data pipelines with Dask and PyArrow; built high-performance microservices and APIs with Python (FastAPI) and Go, enabling low-latency data access and real-time client requests.

Senior Software Engineer at McKinsey & Company (American Express/MERCK)

August 1, 2022 - September 1, 2023

Led multi-tenant SaaS platform development on GCP and AWS with event-driven architectures; standardized data distribution via a centralized API delivery hub; designed HIPAA-compliant data architectures and built real-time transaction monitoring and fraud detection workflows.