Abdul Kadir Khimani

Software Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led significant infrastructure migrations with minimal downtime.
Developed robust APIs reducing developer toil.
Implemented advanced search components enhancing user experience.

Stackforce AI infers this person is a SaaS-focused software engineer with strong backend and cloud deployment expertise.

Contact

akhimani@confluent.io LinkedIn

Skills

Core Skills

KubernetesTerraformJavaReactC++AngularPython

Other Skills

AlgorithmsArchitectural DesignCData StructuresDatabase OptimizationDockerGitGo (Programming Language)JavaScriptLeadershipLinuxMicrosoft OfficeMongoDBNode.jsRxJava

About

I am a young software engineer passionate about solving complex problems through technology. I enjoy writing colourful text on a black screen, and love developing products that help in adding value to people's lives :)

Experience

Confluent

3 roles

Software Engineer II

Promoted

Jul 2023 – Present · 2 yrs 8 mos · Bengaluru, Karnataka, India

Observability Charter
Facilitated the migration of our alerts infrastructure
leading to significant load reduction (by 98%) on our metrics aggregator, Apache Druid
Migrated our services across AWS accounts with no downtime leading to reduction in developer toil
Improved the security posture for observability services by introducing auditing, and approval processes for developer operations (like DB login terraform changes, kubectl access)
Deployment Charter
Implemented the V2 version of our in-house deployment service used for cloud deployments of services across ~3000 clusters.
Stability Improvements for the existing deployment architecture leading to better user experience

Go (Programming Language)KubernetesTerraformArchitectural DesignDatabase Optimization

Software Engineer I

Jul 2022 – Jun 2023 · 11 mos · Bengaluru, Karnataka, India

Developed robust internal use-case APIs for Confluent Cloud Notifications, reducing developer toil
Unification of backend flows for Confluent Cloud Notifications and Confluent Platform Alerts
Automated several code flows for testing our infrastructure end-to-end, reducing the manual toil post deployments

JavaKubernetesRxJavaDocker

Software Engineer Intern

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

Integrated Microsoft Teams as a notification delivery endpoint for Confluent Cloud using RxJava and React
Added unit and integration tests for making our service more robust and reliant
Optimized build and test time for notification service by using shared docker containers across test classes

JavaLinuxKubernetesRxJavaGitReact+1

Cohesity

Software Engineer Intern

Jul 2021 – Dec 2021 · 5 mos · Bengaluru, Karnataka, India

Implemented a reusable advanced search component with auto-suggestions, like JIRA search, using C++, Golang, and Angular
Integrated the backend workflow for a few features in Cohesity’s AWS Cloud backup workflow using C++ and Golang
Developed UI pages with Unit and Integration tests in Angular, for Cohesity’s SaaS offering

LinuxC++AngularGitGo (Programming Language)Docker

Harvard business school

Research Assistant

May 2021 – Jul 2021 · 2 mos · Remote

Worked with Prof. Shawn Cole(HBS), Prof. Michael Kremer(UChicago, Nobel Laureate in Economics'19) and Precision Development NGO to devise experiments for testing in-person social learning trends among farmers
Piloted Controlled Trials through WhatsApp to understand the key factors that influence farmers' decisions to contribute information to mobile phone based crowdsourcing efforts
Generated insights for shaping rural communication platforms, assisted in end-to-end data collection, and helped improve response rates on WhatsApp from 2-3% to 20%
Successfully tested operations with 2000+ cotton-growing Gujarat farmers

LinuxPython

Precision development (pxd)

Product Development Intern

May 2021 – Jul 2021 · 2 mos · Remote

Worked in collaboration with HBS to research crowdsourcing efforts in agriculture among farmers in Gujarat
Designed a WhatsApp Chatbot in Erlang, assisted in data cleaning and sampling, and wrote automation scripts in Python for the PxD team
Designed an end to end process for collecting source data and reducing scaling costs
Conducted a few personal interviews with farmers, to understand the demographic and design the product better

Python

Boltzmann

R&D Intern

Jun 2020 – Oct 2020 · 4 mos · Bengaluru, Karnataka, India

Implemented a PyTorch Lightning pipeline for MHC Class-I Ligand Detection and trained the model with 92% accuracy on the Google Cloud Platform
Achieved 82% accuracy on peptide properties prediction tasks - secondary structures, toxicity, and subcellular localization, using pre-trained BERT embeddings of protein sequences

PythonGit

Indian institute of remote sensing (iirs), indian space research organization (isro)

Technical Intern

May 2019 – Jul 2019 · 2 mos · Dehradun, Uttarakhand, India

Achieved 70% accuracy and IoU of 0.61 on Semantic Segmentation of urban features from satellite images in a low resource environment and scarce data, using Deep Learning models in Keras
Integrated modules for 2D GLCM Texture Features, Database Storage and Retrieval of Point Cloud Data, for LiDAR Analysis Software using PostgreSQL, CPP, and Python

CC++PythonGit