# Karan Joisher

> System Software Engineer 2 at HPE

Location: Boston, Massachusetts, United States
Profile: https://flows.cv/karanjoisher

I am currently a Senior Software Engineer at Hewlett Packard Enterprise, developing high-performance RDMA library for distributed object storage systems.

My area of interest includes:
● Software development (Backend systems, microservices, distributed systems, etc.)
● Systems programming (Operating systems, networks, etc.)
● Tools development (Debuggers, graphics, etc.)

My goal is to develop performant, easy-to-use tools that leverage the immense potential offered by modern hardware, making the overall computing experience much smoother and bloat-free for users and developers.

Technical Skills:
Languages: C, Java, C++, Python
Libraries: Spring Boot, JPA, Hibernate, POSIX, Win32 APIs, Linux System APIs, OpenCV, OpenGL, NumPy
Tech: AWS, Apache Kafka, Git, MSVC, MongoDB, MySQL, Docker, OpenShift, Jenkins, Mulesoft Anypoint

You can find more about me on my personal website: https://karanjoisher.github.io/

## Work Experience
### Systems Software Engineer 2 @ Hewlett Packard Enterprise
Jan 2024 – Present | Andover, Massachusetts, United States

### System Software Engineer Intern @ Hewlett Packard Enterprise
Jan 2023 – Jan 2023 | Andover, Massachusetts, United States
• Built NVGrid, a foundational library suite for developing advanced cloud storage apps leveraging NVMe, RDMA
• Implemented RDMA channel API using IBVerbs to provide high-speed data transfers with minimum latency
• Prepared TCP channel for NICs that don’t support RDMA, and Shared Memory channel for services running on the same node to avoid unnecessary buffer copies
• Engineered Connection Manager library for establishing channel connections between nodes; used gRPC service framework and Redis for service look-up; and Boost state machine for connection orchestration
• Architected Telemetry library to monitor the health and performance metrics of NVGrid components and integrated it with Grafana for visualization
• Tech used: C/C++, IBVerbs, Boost, gRPC, Redis, Kubernetes, Docker, Grafana, Bazel, GoogleTest, Jenkins

### Graduate Research Assistant @ Northeastern University
Jan 2023 – Jan 2023 | Boston, Massachusetts, United States
• Offered guidance on the Discovery Cluster, covering areas like Linux, Slurm, Docker, CUDA, MPI
• Managed Concourse workflows to create and roll out Docker and Singularity containers
• Worked alongside scientists to design and initiate ML models on multi-GPU setups using PyTorch and TensorFlow

### Software Developer @ Barclays
Jan 2019 – Jan 2022 | Pune Area, India
Barclays Mobile Banking APIs
● Designed and developed an ecosystem of APIs for setting up repayment plans for delinquent accounts.
● Gained 5x improvement in API response times by making downstream API calls asynchronous and parallel.
● Implemented a performance logging and monitoring library to track the performance of these APIs.

Customer Outcome Testing Application
● Gathered requirements from bank agents to understand how they manually reviewed collection cases.
● Developed a backend API and database components to digitize the manual case review process.
● Closely worked with bank agents to build UI and iterate over the application flow.
● Key Achievements: Reduced manual effort for case reviews by 232 hours/week (5.8 FTEs).

AWS Microservices and Cloud Infrastructure Automation
● Developed microservices to create collection cases for delinquent accounts received via Apache Kafka events.
● Created CloudFormation templates to deploy auto-scaling ECS clusters, MSK clusters, RDS, and EC2 machines on the AWS cloud platform.
● Implemented AWS Lambdas for rotating credentials and replicating EBS volumes to backup data.
● Developed features for APIs to automatically fetch the latest credentials from AWS Secret Manager.
● Key Achievements: Single-click infra provisioning; Reduced server costs by demand-based cluster scaling.

### Computer Vision Developer @ Accelo Innovation Private Limited
Jan 2017 – Jan 2017 | Mumbai Area, India
● Developed depth mapping module (using stereo-vision) in Python and C using a two camera setup.
● Integrated Tensorflow's object detection with the depth mapping module to identify objects and calculate their distance from the vehicle.

### Frontend Website Developer @ Truckerrs
Jan 2016 – Jan 2016 | Mumbai Area, India
● Designed the UI/UX for the website.
● Implemented the frontend of the booking system and integrated it with the back-end API.
● Used Google Maps API for features such as tracing the path of the vehicle on map.


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

### Bachelor of Technology (B.Tech.) in Computer Engineering
KJ Somaiya College of Engineering, Vidyavihar


## Contact & Social
- LinkedIn: https://linkedin.com/in/karanjoisher
- Portfolio: https://karanjoisher.github.io/

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