S

Sudha Ravi Kumar J.

Software Engineer

Redmond, Washington, United States9 yrs 4 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Natural Language Processing and Machine Learning.
  • Led significant improvements in healthcare data analysis.
  • Proven track record in web development and microservices.
Stackforce AI infers this person is a skilled Software Engineer specializing in Healthcare and E-commerce solutions.

Contact

LinkedIn

Skills

Core Skills

Natural Language Processing (nlp)Machine LearningCloud ComputingData AnalysisWeb DevelopmentJavaMicroservices

Other Skills

Algorithm DevelopmentAlgorithmsAmazon EC2Amazon S3AndroidAndroid DevelopmentAnomaly DetectionApache KafkaApache NginxBashCC++Cascading Style Sheets (CSS)Convolutional Neural Networks (CNN)Data Management

About

Hello, interested in collaborating on projects in the field of Natural Language Processing or Machine Learning in general? Send me a message! I am Ravi, currently working at Oracle as an SDE2. I graduated from UC Berkeley with a Master of Information and Data Science. Prior to this I worked as a full-stack developer at a couple of startups and Amazon. I completed my first Master's in Computer Science at Oregon State University and a Bachelor of Technology in Computer Science at IIT Roorkee.

Experience

9 yrs 4 mos
Total Experience
2 yrs 4 mos
Average Tenure
5 yrs 11 mos
Current Experience

Oracle

Member Of Technical Staff

Jul 2020 – Present · 5 yrs 11 mos · Seattle, Washington, United States · On-site

  • Worked closely with Applied Scientists to design and develop training and inference pipeline for anomaly detection model.
  • Since onboarding with our REST APIs, SailGP reported that they were able to analyze more than 48 billion data points each race day and their races were not affected by hydraulic failures. More details can be found at this article: https://sailgp.com/news/23/oracle-case-study-anomaly-detection
  • Worked on distributed cloud application deployed on K8s using helm to enable secured access of de-identified health data.
  • This helped the release of a patient visit report summarization model and improved the efficiency of healthcare providers.
  • Led a team of 4 to improve the observability of Slurm clusters; created and presented KPI dashboards to leadership.
  • Implemented automatic termination of Slurm jobs with low GPU utilization and notified users using OCI events and functions. This improved the average GPU utilization percent across all clusters by 20.
  • Collaborated with Applied Scientists to fine-tune open-source Gen-AI models on Slurm clusters.
Natural Language Processing (NLP)Machine LearningKubernetesSlurm Workload ManagerAnomaly DetectionCloud Computing+1

Amazon

Software Development Engineer

Sep 2016 – Apr 2018 · 1 yr 7 mos · Bengaluru Area, India · On-site

  • I designed and implemented a software framework to create webpages for new Instant Pickup Points in the USA.
  • This increased the rate of creating and releasing webpages for new Instant Pickup Points from 2.5 to 13 per year.
  • Mentored the new employees and brought them up to speed on the technology stack.
Web DevelopmentSoftware FrameworksMentorship

Pepperfry

Java Developer

Feb 2016 – Jun 2016 · 4 mos · Mumbai Area, India · On-site

  • Redesigned the recommendation engine and brought down the recommendations delay from 1 day to 30 minutes.
  • Wrote a Lua script to blacklist identi ed bots trying to down the web app and reduced load time from 30 to 5 seconds.
JavaLuaRecommendation Systems

Infruid labs

Software Engineer

Aug 2014 – Feb 2016 · 1 yr 6 mos · Hyderabad Area, India · On-site

  • Revamped a monolith web application to a microservice architecture.
  • This reduced the response time of a data-heavy page from 30 minutes to 20 seconds.
  • The change scaled the application to serve 5 hospitals in 1 year from 2 hospitals in 2 years.
MicroservicesWeb DevelopmentData Management

Education

University of California, Berkeley

Master's degree — Information and Data Science

Jan 2022 – Jan 2024

Oregon State University

Master of Science - MS — Computer Science

Jan 2018 – Jan 2020

Indian Institute of Technology, Roorkee

Bachelor of Technology (BTech) — Computer Science

Jan 2010 – Jan 2014

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