About
I’m a Principal Software Engineer with 10+ years of experience designing and delivering large-scale, distributed, and AI-driven systems across enterprise, cloud, and healthcare domains. My work sits at the intersection of platform engineering, event-driven architectures, and applied Generative AI, with a strong focus on reliability, scalability, and real-world impact.
I currently lead and contribute to AI-powered clinical workflows embedded directly into Electronic Health Record (EHR) systems. My work spans Clinical AI Agents, real-time smart dictation, conversational search and summaries, and AI-assisted documentation, helping reduce physician documentation burden by 20–40% and enabling faster, more intuitive clinical workflows across 30+ medical specialties. I operate as a senior technical owner and architectural reviewer, ensuring these systems are scalable, compliant, and production-ready in highly regulated environments handling PHI.
Previously, I built and scaled mission-critical distributed systems in global retail and supply-chain platforms, driving $10M+ in annual cost savings, eliminating 28K+ manual hours, improving API performance by 30%+, and leading multi-region launches across the US and Asia. I’ve designed event-driven ingestion pipelines, optimized cloud infrastructure and caching layers, led major cloud migrations, and driven sustained improvements in operational excellence and cost efficiency.
Technically, I bring deep hands-on expertise in Java, Python, cloud-native architectures (AWS), Kubernetes, CI/CD, and distributed systems, along with growing specialization in LLMs, RAG pipelines, vector databases, and AI agent orchestration. I’m particularly interested in moving GenAI beyond experimentation—into durable, production-grade systems that meaningfully improve developer and user productivity.
As a Principal Engineer, my focus is on technical direction, architectural clarity, and raising the engineering bar—through design reviews, mentorship, and close collaboration with product, UX, and platform teams. I thrive in environments that value deep technical rigor, ownership, and long-term system thinking.
Skills & Expertise
Data Privacy
Data Security
Artificial Intelligence
Advanced Computing
LLM integrations
Amazon Web Services
Oracle Cloud Infra
Microservices
System Design
Research Interests
Machine Learning
Cloud Computing
Data Security
Data Structures
Web Services
Analysis of Algorithms
System Design
Artificial Intelligence (AI)
Healthcare Systems
Database Security
Data privacy
and Cybersecurity Technologies
Connect With Me
Experience
Principal Software Development Engineer
Lead the design, implementation, and release planning of AI-driven capabilities within Clinical AI Agent (CAA), an AI platform embedded directly into Electronic Health Record (EHR) workflows that Oracle has publicly reported to reduce physician documentation time by ~30%, with earlier deployments reporting 20–40% time savings, depending on specialty and workflow.
Technical owner of Dictation (Smart Dictation), enabling real-time voice-to-text documentation directly inside EHR systems, allowing clinicians to document faster than typing and significantly reducing manual documentation burden.
Contributed to delivery and technical review of Conversational Search, Conversational Summaries, and Conversation History, features that improve chart navigation, accelerate clinical handoffs, and reduce after-hours inbox work.
Supported expansion of Clinical AI Agent across 30+ clinical specialties, helping scale AI-powered workflows to a broad range of inpatient and outpatient care settings across U.S. healthcare providers.
Acted as an architectural reviewer across multiple AI agent initiatives, ensuring scalability, reliability, and compliance readiness for deployment in regulated healthcare environments handling protected health information (PHI).
Collaborated with product, UX, and platform teams to deliver incremental AI capabilities without requiring full EHR rewrites, enabling faster adoption and earlier value realization.
Contributing to the design and planning of upcoming AI agents to further automate clinical documentation, information retrieval, and workflow assistance as part of Oracle Health’s long-term AI-first healthcare strategy.
Software Engineer
Designed and developed inventory identification tool web application to be available across the public
internet. Setup the infrastructure with AWS resources for this Ec2 based AWS service.
● Designed and developed Consignment Business scenario for Grocery Tech to onboard external vendors
into Amazon stores with their inventory. (Saving 10M per year for Amazon in Grocery Shrink). Built
end to end features including infrastructure changes on AWS, setting up dependent services.
● Contributed extensively in improving Operational Excellence for Inventory Identification and
Management related applications. Saved $37000 per year by working on EMF metrics instead cloud
watch metrics, writing scripts for cleanup of unutilized resources in AWS.
Software Developer (Student Worker IV)
➤Designed and developed modules for a web application, Virtual Spaces, that allows users to host virtual exhibitions by creating virtual 2D tours through real or abstract spaces. The application is built using Spring framework, Spring Data, Hibernate and JSP, JQuery and Ajax as frontend and MySQL as the database.
Software Developer (Full-stack)
Designed and developed modules for a web application, Virtual Spaces, that allows users to host virtual
exhibitions by creating virtual 2D tours through real or abstract spaces. The application is built using
Spring framework, Spring Data, Hibernate and JSP, JQuery and Ajax as frontend and MySQL as the
database.
Software Development Engineer(Backend)
Designed, implemented and maintained Apptio Query Language(AQL) microservice in Spring Boot,
which is a single API(GraphQL) endpoint to interact with underlying data resources to fetch required
data from Apptio data sources.
● Performed benchmarks and Increased throughput of AQL Microservice by ~35% .
● Managed the build / CI pipeline (on GitLab) that automatically deploys the latest stable code in the
customer space.
Developer(Backend)
Worked on developing ERP Applications built on Spring for Business to Business(B2B) and Business to
Government(B2G) communications on SAP Cloud platform and on-prem.
● Delivered legal changes/requirements on taxation for GST India, Spain SII and few other European
countries.
Product Engineer(Full-stack)
Designed and Developed applications for daily banking related entries.
● Major contribution on delivering a high performing multithreaded application for sending all banking
transactions to the central server
Education
Arizona State University (ASU)
NIT Agartala (National Institute of Technology, Agartala)
Projects
PK Salon - A simple salon management software
Features overview:
❖ Easy appointment scheduling ability
❖ Keeping track of clients and their records
❖ Management of shops(branches) and staff
❖ Dashboard to view live appointments and upcoming ones
Technologies:
❖ Ruby on Rails, PostgreSQL, JavaScript, Vue.js
MealsDaily - An application for users to order home cooked food from nearby providers
Features overview:
❖ Choices of providers by location
❖ Various plans on x-day, weekly, monthly basis
❖ Add to cart
Technologies:
❖ Go, PostgreSQL, Buffalo
CovidFundraiser - A basic auction-based app to raise money for charity
Features overview:
❖ User login
❖ Auction items list
❖ Bid increments, Bid confirmation
❖ User profile and bid history
Technologies:
❖ Java, Spring Boot, Thymeleaf, Vue.js, Axios
AWS Image Recognition as a Service
❖ Designed and Developed a cloud app which provides Image Recognition as a Service to users by using AWS cloud resources. The application will handle multiple requests concurrently, scale out when request demand increases and scale in when the demand drops. AWS services used in this project are Elastic Compute Cloud(EC2), Simple Queue Service(SQS) & Simple Storage Service(S3).
Certificates & Licenses (5)
Java Training & Workshop
Red Hat Linux System & Server Administration
Credential ID 2012NP0108
Learning Git and GitHub
Version Control lets you manage changes you've made to files over time, and is an essential skill for developers to master. Git is by far the most popular version control system on the web. In this fast-paced course, Ray Villalobos shows you the fundamental commands that you need to work with most Git projects. He explains how to use checkpoints called commits, which let you leave messages documenting what happened at each checkpoint, as well as how to create branches that are alternate versions of your project that you can work on without changing the original. Ray also shows how to work with the popular GitHub website, going in depth with repositories and projects. Learn about pull requests, how to conduct a code review, and how to clone existing projects onto your local hard drive and use them as templates. Plus, learn about the social aspects of GitHub so you can get comments, opinions, and advice to help you refine your projects.
Creating Your First RESTful Spring Boot Microservice with JPA
Turbocharge your back-end Java RESTful API development with Spring Boot and Spring Data technologies. This course is intended for experienced Java developers who want to rapidly build microservices that connect with relational databases via the Java Persistence API (JPA). Here, Mary Ellen Bowman walks you through a step-by-step process for building a microservice with an exposed RESTful API featuring HATEOAS, paging, and sorting. Learn about technologies such as Spring Boot, Spring Data JPA, and Spring Data REST, and see how they all come together into smart and elegant solutions. To wrap up, Mary Ellen guides developers in migrating a microservice to a MongoDB data source.
3 Weeks of DS & Algo with Java Bootcamp
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