Aditya Kulraj Kunwar

SDE-2@Oracle Cloud Infrastructure

Aditya Kulraj Kunwar is a highly skilled software developer with expertise in machine learning and data mining. He is a dedicated ML enthusiast and MLH Pre-Fellow '21, with a passion for deep learning and multi-agent reinforcement learning. Aditya is a JAVA full-stack programmer with exper

4.2

Years of Experience

Education

dtu, dav public scool gurgaon

Companies

precisely, oneplus, deloitte, unesco, national university of singapore, dcoder dtu

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Experience

2021 - Present
precisely
Software Engineer
Precisely is a global leader in location intelligence and data enrichment. Trusted by customers in more than 100 countries including 97 of the Fortune 100. Implemented a Geocoding and Tax Rate Lookup microservice, enabling users to leverage REST APIs for Location, Addressing and Tax Rates. Deployed the solution using NGINX Load Balancer and a Kubernetes containerization environment. Implemented a CI/CD setup for development and production environments using Gitlab runners. Helped scale the solution from 1000 to 20000 Queries per second. Skills : JAVA, Springboot, AWS, Spark, Hadoop, Kubernetes.
2020 - 2021
oneplus
Software Engineer
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.
2019 - 2019
deloitte
Business Technology Analyst Intern
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.
2019 - 2020
unesco
Youth Leader
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.
2017 - 2018
national university of singapore
Research Intern
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.
2017 - 2020
dcoder dtu
Co-Founder
As the founding member of a tech team based out of Delhi Technological University.