Aditya Kulraj Kunwar

Software Engineer

United States8 yrs 7 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

5+ years of experience in distributed systems.
Co-inventor on 4 U.S. patents.
Expertise in multi-tenant cloud platforms.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Healthcare and SaaS industries.

Contact

Skills

Core Skills

Distributed SystemsCloud-native ApplicationsBack-end Web DevelopmentMicroservicesAndroid Development

Other Skills

DockerJavaKubernetesHL7 v2FHIRJWTAsync Processing-KafkaSpring BootSocketsRepresentational State Transfer (REST)LinuxRedisJenkinsNettyCore Java

About

Senior Software Engineer with 5+ YOE , specializing in distributed systems, multi-tenant cloud platforms, and LLM-powered enterprise workflows. Developed services at scale for Oracle Integration Cloud (10K+ enterprise customers). Co-inventor on 4 U.S. patents in Business Automation.

Experience

8 yrs 7 mos

Total Experience

2 yrs 10 mos

Average Tenure

4 yrs

Current Experience

Oracle

2 roles

SDE-3( Oracle Integrations Cloud)

Promoted

Apr 2024 – Present · 2 yrs 2 mos

Architected and evolved backend platform services supporting HL7 v2 and FHIR, enabling secure ingestion,
processing, and exchange of healthcare data across enterprise systems. [JWT, Async Processing-Kafka]
Designed and implemented an Oracle EHR adapter enabling standards-compliant data exchange; built a database connector supporting GET/SEARCH operations. [Oracle DB, Microservices, Docker]

Distributed SystemsCloud-Native ApplicationsDockerMicroservicesJavaKubernetes

SDE-2( Oracle Integrations Cloud )

May 2022 – Mar 2024 · 1 yr 10 mos

Owned JSON–XML runtime translation engine supporting complex constructs.
Built high-throughput TCP/IP based adapter sustaining 5K msgs/sec and 100M+ msgs/day.
Developed API-first integration framework auto-configuring endpoints from OpenAPI specs, reducing onboarding time by 50%. [OpenAPI/Swagger, JSON/XML Parsing]
Architected a centralized metrics emitter framework integrating platform services with Grafana monitoring,
enabling real-time observability and reducing production issue detection and triage time by 40%

Back-End Web DevelopmentSpring BootSocketsRepresentational State Transfer (REST)DockerLinux+7

Oneplus software r&d centre private limited

Software Engineer

Aug 2020 – May 2022 · 1 yr 9 mos · Hyderabad, Telangana, India

Developed Volume Sync feature in the Android Audio Module designing Android APIs and Action Receivers, integrating them with Binder Interfaces of Audio Module.
Developed a centralized web dashboard to upload and manage phone configurations, and auto-generate XML configs using MongoDB.
Helped increase the supply chain efficiency of assembly of devices by 20%.
Skills : JAVA, Android, JNI, MongoDB, Springboot.

JAVAAndroidJNIMongoDBSpringbootAndroid Development+1

Deloitte india (offices of the us)

Business Technology Analyst Intern

Jun 2019 – Jul 2019 · 1 mo · Greater Hyderabad Area

As a part of Enterprise Operations Team, worked with senior partners and consultants on various Industry projects.Designed systems to help identify gaps in supply chain and came up with solutions to fill these gaps.Also learned industry specific softwares such as PL/SQL, Oracle Cloud, FBDI.

Unesco

Youth Leader

Mar 2019 – Sep 2020 · 1 yr 6 mos · Greater Delhi Area

Represented India in a 3-week long program to address the growing problems of climate change, natural disasters, and water depletion along with a teammate.
Developed a peer-to-peer SOS message transmission model that would make use of a mesh network of devices to relay location information of the people in the advent of a devastating natural disaster.

National university of singapore

Research Intern

Dec 2017 – Jan 2018 · 1 mo · Singapore

Worked hands-on together with the professors of NUS to learn the concepts of Machine Learning, Data Analytics and Data Mining.Learned to code these concepts in Python, R and JAVA.
Worked on a project Smart Meter Data Analytics calculating the peak times of energy usage using a data set of hourly consumption of energy of different households.Isolated different peaks through random forest and ANN.