
Abhishek Singh Kushwaha
Software Developer . AI/ML . UI/UX
Building solutions with precision and creativity.

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Portfolio
Featured Work
A selection of projects that showcase my expertise in building scalable, user-centric applications.


Built SnapSort, a cross-platform desktop app for offline, face-based image sorting and browsing; efficiently handled 5,000+ images in under 10 minutes using a GPU-accelerated CNN pipeline, leading to an 80% reduction in manual photo curation time and 98% face detection accuracy.


Experience
Career Journey
Building impactful products and growing as an engineer across diverse domains.
Aug 2025 - Present
Forward Deployed at Google
- Enhance and maintain large-scale, distributed procurement reporting systems while forward-deployed at Google.
- Triage and resolve live production issues by debugging data discrepancies and validating workflows to ensure pipeline stability and data integrity.
- Contribute to technical documentation and test deployment procedures to support consistent, reliable rollouts in a complex cloud environment.
Sept 2024 - Dec 2024
AI Startup
- Developed a product that automates the end-to-end testing process of mobile and web applications, reducing the cost of testing process by 40% and testing time by 80%
- Implemented a robust CI/CD pipeline that automated frontend deployments using Docker and Google Cloud Platform; ensured reliability with no reported downtime issues for 45 consecutive days
- Technologies: Next.js, Flask, Google Cloud
Jan 2024 - Mar 2024
Opensource Project
- Secured one of 180 distinguished Member positions among 5,000+ Meshery contributors.
- Improved the notification system within three weeks. Implemented auto-detection for actionable links and resolved link truncation issues, enhancing user-friendliness and accessibility.
- Resolved various issues through 4+ pull requests and completed 2 code reviews, providing valuable feedback.
- Recognized as a Distinguished Member Contributor by Repository Maintainers for impactful contributions.
Jul 2022 - Oct 2022
Healthcare Startup
- Developed a solution for Peripheral Vision Assessment using VR technology for identifying blind spots in eyes and generating a detailed report for further examination by a medical professional.
- Improved the diagnosis precision by 35% through localized search around the blind spot in eye.
- Usage of VR technology also reduced costs, replacing machinery previously costing between 10-12 lakhs INR with a 40K INR VR solution.
- Tech Stack: C#, Unity for VR environment, and Python for back-end services.
Thoughts
Blog & Posts
Technical deep-dives, project breakdowns, and thoughts on software engineering.
Articles
View allBuilding HelpMe: An AI-Powered CLI Tool for Linux Automation
A deep dive into how I built a terminal assistant that translates natural language into executable Linux commands using advanced AI agents, complete with validation, safety checks, and multi-provider support.
Skills
Technical Arsenal
A comprehensive toolset developed through professional experience and passion projects.