# Krishna Sheth

> Advisory Software Engineer at IBM

Location: Greater Boston, United States
Profile: https://flows.cv/krishnasheth

## Work Experience
### Staff Software Engineer (Metadata Infrastructure, IBM Knowledge Catalog) @ IBM
Jan 2019 – Present | Greater Boston Area
Part of IBM Knowledge Catalog(Cloud Pak for Data), IBM Data & AI,
- Recently Led Data Migration from Cloudant/Couchdb (NoSQL) to Postgres for the Metadata Storage Layer of IBM Knowledge Catalog
- Developing features for the Metadata Storage Layer of IBM Knowledge Catalog
- Responsible for developing/creating features/fixing defects/contributing to Metadata Repository Microservices, a set of services responsible for syncing asset metadata from one repository to other
- Built scalable, high-throughput, and reliable real-time distributed streaming systems
- Created Jenkins pipelines and integrated ansible automation to setup complex test beds
- Technologies used: Java17, Postgres, Cloudant/Couchdb, Redis, RabbitMq, Kafka, Spring Boot 3, Spring Batch, Spring AMQP, JAX-RS, Ansible, RedHat Openshift, K8S, Python, Bash Scripting, Maven, Gradle, Jenkins, Travis , Redhat Openshift

### Software Cloud Engineer @ Societe Generale Corporate and Investment Banking - SGCIB
Jan 2018 – Jan 2019 | Greater New York City Area
◦ Development of micro-services Back-end and Front-end: with Spring Boot & Angular 7 (Redux Pattern)
◦ Integrated centralized logging system and distributed tracing: with configurable rolling policies in micro-services with Elastic Search, Kibana & Zipkin(Spring Cloud Sleuth)
◦ Containerization of existing trading applications: Migration of ATM application from Docker 17.03 to 17.06
◦ Wrote python scripts created dashboards with Jupyter notebooks: to download client reports, analyze data, create dynamic graphs and integrated with ITRS Alerting Tool
◦ Created chatbot (API written in python) connected to Symphony chat room: for traders to download reports
◦ Documentation of the CD and CI strategies and improving knowledge and championing the strategy

### Software Performance Engineer @ IBM
Jan 2017 – Jan 2018 | Austin, Texas Area
◦ Performed competitive analysis between Power 8, Power 9 & Intel Xeon Phi systems: Investigated, diagnosed, and analyzed software and system performance bottlenecks within the systems
◦ Characterization and Profiling: Nvidia’s Tesla P100 vs Intel’s Multi-Channel DRAM, Nvidia’s V100, P40, Titanx with Nvidia’s Visual Profiler
◦ Evaluated machine learning and deep learning models on above mentioned systems: Model Types: InceptionV3, Resnet50, Resnet152, Vgg16, Alexnet
◦ Deployment and Automation: Wrote bash scripts for Deploying IBM’s PowerAI Tensorflow on different Power machines, automating the installation process along with benchmarking
◦ Profiling and Testing: SPECjbb Evaluation on IBM’s JDK vs OpenJDK, Tuning and Testing different versions. Tested and Verified enablement receipes for IBM PowerAI’s SolutionBuilder (Hadoop-Spark)

### DevOps Engineering Intern @ Ericsson
Jan 2016 – Jan 2016 | Bangalore, India
◦ College major project internship & training: Designed an IaaS cloud architecture using OpenStack.
◦ Developed autoscaling docker containers for a messaging service of OpenStack Mitaka called Zaqar
◦ Created a Twitter Sentiment Analysis as an independent project: used Tweepy to fetch user specific tweets, MongoDB to store tweets; Python, TextBlob APIs to analyze the neutrality of the tweets and display it on a webpage using bottle framework


## Education
### Master's degree in Computer Science
Binghamton University

### Bachelor of Technology (B.Tech.) in Computer Science
Sikkim Manipal Institute of Technology


## Contact & Social
- LinkedIn: https://linkedin.com/in/krishna-sheth

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Source: https://flows.cv/krishnasheth
JSON Resume: https://flows.cv/krishnasheth/resume.json
Last updated: 2026-03-31