About
I architect and design enterprise backend systems for the pharmaceutical and healthcare sectors. My focus is on translating complex business and regulatory requirements into resilient cloud infrastructure. Over the past five years, this has involved leading multi-region cloud deployments, designing data lakehouse architectures, and integrating Generative AI and agentic workflows. I ensure that ML components are secure and dependable in heavily regulated environments, rather than just functional in a demo.
My working style centers on architectural alignment and predictability. I design systems that are cost effective, scalable, and boring in production. I prioritize clear boundaries between components using principles like Hexagonal Architecture alongside deliberate infrastructure as code practices. The goal is to make foundational design decisions that accommodate new markets and regulatory frameworks like HIPAA, GDPR, and FDA guidelines without requiring a system rewrite.
Experience
Senior Software Engineer, [ProcDNA | Sept 2025 - Present] Leading the architectural design and global multi-region expansion of our primary healthcare analytics platform. I am driving a multi-tenant, Hexagonal Architecture rebuild in Golang that completely decouples core business logic from regional regulatory adapters. This ensures automated data residency and compliance with GDPR, SOC 2, and HIPAA requirements without having to fork the codebase for every new region.
Software Development Engineer II, [ProcDNA | Jan 2024 - Aug 2025] Designed the software and data pipeline architecture for an enterprise social media listening system. I formulated system requirements and implemented data processing flows utilizing Databricks Medallion architecture and headless Apache Airflow orchestration. Alongside a high-speed search product built on Elasticsearch and ClickHouse, I deployed an ML recommendation backend using FastAPI with an LLM layer for contextual relevance, transitioning infrastructure management entirely to Terraform and AWS.
Software Development Engineer I, [ProcDNA | July 2022 - Dec 2023] Engineered a data to insights backend using Django REST Framework to orchestrate pipelines processing over 10 TB of data through AWS Redshift Serverless. I integrated SageMaker models into customer segmentation workflows, which reduced processing time by 80 percent, and established automated CI/CD pipelines using Terraform and GitHub Actions.
Backend Developer, [Verzeo Edutech | May 2020 - June 2021] Built a FastAPI based lead management application featuring asynchronous APIs, AWS Cognito authentication, and strict row-level access controls across five distinct user tiers.
Education
B.Tech, Engineering: PEC University of Technology, Chandigarh (2018–2022)