Abhishek Krishna

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

Highly Stable

Key Highlights

Designed modular Kafka data pipelines for scalable management.
Reduced incident response times by 32% through innovative solutions.
Optimized object detection models, enhancing security frameworks.

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

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Skills

Core Skills

KubernetesMicroservicesResearchComputer Vision

Other Skills

Amazon EKSREST APIsIndustrial ResearchInformation ResearchYolov5sMS KinectOpenCVPython (Programming Language)PythonSemaphoreCIBashDockerSoftware DesignSoftware InfrastructureStreamlit

About

As a Software Engineer at Confluent, I contribute to designing and implementing modular Kafka data pipelines using microservices and REST APIs, enabling scalable Kafka cluster management on Kubernetes. My work has supported improved system reliability and reduced incident response times, reflecting a focus on efficiency and innovation. Graduating from Delhi Technological University with a BTech in Information Technology, I have combined academic knowledge with practical experience in backend engineering, distributed systems, and Kubernetes. I am motivated by building robust infrastructure and fostering collaboration across teams for impactful and timely project delivery.

Experience

3 yrs 10 mos

Total Experience

3 yrs 10 mos

Average Tenure

3 yrs 10 mos

Current Experience

Confluent

Software Engineer

Jul 2022 – Present · 3 yrs 10 mos · Bengaluru, Karnataka, India · Remote

Designed and implemented modular Kafka data pipelines with microservices and REST APIs, enabling scalable creation and management of Kafka clusters on Kubernetes. This reduced oncall incident response times by 32%.
Led and collaborated with across teams to deliver timely releases for the Confluent Platform, ensuring effective communication and resolution of cross-functional dependencies.

KubernetesAmazon EKSMicroservices

Indian institute of technology, delhi

Research Intern

Apr 2021 – Jun 2021 · 2 mos · Delhi, India

Project Based on Multi-class Multi-object detection and Tracking.
Used Yolov5s to track the fishes’ trajectories in 3D space using MS Kinect camera, which provides depth frames alongside RGB
frames.

Industrial ResearchInformation ResearchResearch

Deepsight ai labs pvt ltd

SWE Intern

Mar 2021 – Jun 2021 · 3 mos · Gurugram, Haryana, India · On-site

Optimized object detection models and operating systems on Raspberry Pi, slashing real-time single-camera video processing costs by 450%.
Innovated a streamlined security framework using YOLOv5s with Raspberry Pi 4B to enhance intrusion detection capabilities;
ensured instant communication of events via SMS alerts and emails to improve situational awareness.
Crafted a comprehensive User Interface for video analytics that integrated real-time live streams and performance dashboards,
enhancing surveillance camera monitoring efficiency by 15% .

OpenCVPython (Programming Language)Computer Vision