Pallav Chanana
GenAI Integration Expert | Full Stack Developer | Hybrid Tech Lead
I developed AI-powered, cloud-native applications at the intersection of GenAI/LLM integration and full-stack development. From healthcare automation to IIoT platforms, I design scalable microservices, engineer LLM workflows, and drive engineering optimization across Azure and AWS.
About Me
Passionate about building transformative solutions that create real impact
My Journey
With 7+ years of full-stack engineering experience and expertise in GenAI/LLM integration, I've led teams across healthcare and IIoT sectors, architecting solutions that drive measurable business impact. From AI-powered care management platforms to multi-cloud provisioning systems, I combine technical excellence with strategic innovation.
My approach centers on pragmatic problem-solving: designing cloud-native microservices, optimizing costs, and automating complex workflows. I've mentored 20+ developers, spearheaded DevSecOps maturity initiatives, and engineered LLM workflows that reduce manual processes by 40%.
Beyond code, I'm passionate about continuous learning, open-source contributions, and knowledge sharing. I believe technology is most powerful when it's accessible, scalable, and driven by purpose.
How I Work
Clean Code
Writing maintainable, scalable code that stands the test of time
Innovation
Staying ahead of technology trends and implementing cutting-edge solutions
Collaboration
Working effectively with cross-functional teams to deliver exceptional results
Performance
Optimizing applications for speed, accessibility, and user experience
Technical Expertise
Technologies I've worked with in real-world projects and professional environments
Programming Languages
AI/ML Technologies
Backend Development
Frontend Development
Cloud & Databases
Professional Journey
From enterprise solutions to tech innovation, building scalable systems and leading AI-driven initiatives across diverse technology stacks
Lead Software Engineer
EverNorth Health Services
Leading development of AI-powered Clinical Care Management Platform, architecting cloud-native microservices and GenAI workflows that reduce manual processes by 40%.
Key Achievements
- Built GenAI-powered care platform using LangChain, GPT-4, Azure OpenAI reducing manual workflow time by 40%
- Designed cloud-native micro-services with Java 21 + Spring Boot deployed on Azure Kubernetes with Spring AI
- Created real-time Kafka workflows for case triage and referrals
- Led cross-functional DevSecOps maturity effort with Terraform, Checkmarx, GitHub Actions, and container scanning
- Engineered LLM workflows to summarize clinical, demographic, and authorization data across multiple models
- Enabled rapid code scaffolding across Python, Java, FastAPI, Spring Boot using Github MCP server
- Mentored 12+ developers and led agile scrum ceremonies
- Implemented automated testing, deployment pipelines and documentation generation
Technologies Used
Lead Software Engineer
Providence Global Center
Architected multi-cloud provisioning platform and AI-powered cost optimization solutions saving $2.5M+ annually.
Key Achievements
- Developed multi-cloud provisioning platform using React.js, Golang, MongoDB with Azure, AWS and Terraform
- Built AI-powered cost optimization dashboard saving $2.5M+/year using GenAI agents
- Led Kubernetes/Docker-based CI/CD deployments across 12+ services
- Mentored 10+ developers and led agile scrum ceremonies
- Implemented automated testing and deployment pipelines
- Introduced GenAI-based automation for log triage and infrastructure-as-code reviews
Technologies Used
Software Engineer
Optum (UnitedHealth Group)
Delivered healthcare integration services and analytics solutions reducing manual workflows by 85%.
Key Achievements
- Delivered 90% reduction in manual insurance claim processing via email automation workflow
- Built REST APIs and OCR/TTS services using Spring Boot, Flask, and Azure Cognitive Services
- Managed Kafka pipelines and Graph API integration with Azure and ServiceNow
- Developed real-time analytics dashboards with Angular, Vue.js, MongoDB, SQL reducing manual workflow by 85%
- Implemented Grafana monitoring and Splunk alerts for service metrics
- Automated claim workflows with ServiceNow + Graph API
Technologies Used
Software Engineer
Entrib Analytics Pvt Ltd
Built IIoT dashboards and form-builder systems deployed across industrial plants.
Key Achievements
- Developed IIoT dashboards and form-builder systems using Vue.js, Node.js, and MongoDB
- Deployed wireless printer interface APIs across industrial plants (ITC, Tata Steel)
- Implemented real-time data visualization and monitoring features
- Awarded Employee of the Year
Technologies Used
Professional Certifications
Continuous learning and professional development in cutting-edge technologies
Deep Learning Specialization
Coursera
Comprehensive deep learning specialization covering neural networks, optimization, and advanced architectures
Microsoft Azure Fundamentals
Coursera
Azure cloud services, architecture, and deployment strategies for enterprise applications
Kubernetes Fundamentals
LinkedIn Learning
Container orchestration, cluster management, and cloud-native application deployment
Committed to staying current with the latest technologies and best practices
Get In Touch
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