Updated Jun 26, 2026
Abhishek Kashyap
Platform Engineer - Infra & AI Systems
Focus
Cloud Native / Data & Messaging / Developer Productivity / Observability
Profile
Platform Engineer with 8+ years of experience working on infrastructure-adjacent systems, developer productivity, security automation, and AI-related product infrastructure. Experienced in building and operating distributed systems, CI platforms, and observability solutions using Go, Kubernetes, and AWS.
Currently building confidential AI-related platform systems at a stealth-mode startup. Previously a Software Engineer at Instabase, focused on build and test productivity, CI reliability, and end-to-end vulnerability mitigation. Known for strong ownership across ambiguous problem spaces, with a focus on scaling security and remediation workflows through automation and CI integration.
Experience
Platform Engineer
Stealth-Mode Startup
Mar 2026 - Present
Bengaluru, India
- Building backend and platform systems for an AI-related product in stealth mode, balancing early-stage ambiguity with production-grade reliability.
- Translating confidential product requirements into maintainable infrastructure, delivery workflows, and operational foundations.
- Working in the part of the map still labeled confidential; happy to discuss architecture, tradeoffs, and engineering scope at a high level.
Software Engineer - Infra & Dev Productivity (IE-05)
Instabase
Dec 2024 - Nov 2025
Bengaluru, India
- Owned end-to-end vulnerability mitigation workflows, architecting and delivering an Automated Vulnerability Remediation pipeline that generated 300+ PRs, achieving approximately 95% success for simpler vulnerabilities and 50-70% success for complex cases.
- Drove the Build & Test charter of Developer Productivity, improving CI execution efficiency and developer feedback loops across multiple teams.
- Enhanced end-to-end observability across backend and frontend systems by setting up AWS RDS alerting and integrating Grafana Faro Web SDK with Grafana Alloy, reducing database incident response time by approximately 20% and improving debugging efficiency for web applications.
- Upgraded three Amazon EKS clusters to newer Kubernetes versions, eliminating extended support charges and generating annual savings of $13,140.
Senior Software Engineer (L4)
SambaNova Systems
Aug 2022 - Nov 2024
Bengaluru, India
- Architected a fault tolerance mechanism for ML endpoints, boosting system reliability by 70% through advanced scheduling and shutdown processes.
- Engineered a low-latency 15 ms RBAC system with modular ADFs, improving API integration and ensuring scalability.
- Spearheaded the development of a custom DataMigration controller, automating data transfers and boosting dataset upload speed by 20% while minimizing error rates significantly.
- Created a CLI for SambaStudio Rack orchestration, automating Jenkins pipelines for RPM bundling to streamline development by 30%.
Product Engineer (L3)
Gojek Tech.
Jul 2019 - Aug 2022
Bengaluru, India
- Championed the development of a driver segmentation framework that classified over 1 million drivers, enhancing driver professionalism and boosting customer satisfaction measurably.
- Designed APIs for driver education CMS and income management, increasing resource accessibility and elevating driver engagement by 40%.
- Revamped driver notification services by switching to MQTT from PubNub, cutting operational costs by 50% and enhancing system performance.
- Mentored three interns on the Driver Loyalty project, guiding them to enhance their professional skills while managing and tracking project deliverables.
Software Engineer
MayaData, Inc.
Sep 2017 - Jul 2019
Bengaluru, India
- Led the development of Golang-based microservices for Kubernetes, integrating Prometheus-based observability that significantly reduced support inquiries through user self-monitoring.
- Initiated and developed the CITF for SaaS services, achieving 70% integration test coverage that elevated QA standards and reduced production errors.
Education
Bachelor of Technology in Computer Science & Engineering
Dr. B. C. Roy Engineering College
2013 - 2017
Durgapur, India
Skills
Cloud Native
Data & Messaging
Developer Productivity
Observability
Projects
Project Brahmanda
A production-grade hybrid-cloud ecosystem designed to mirror the cosmic cycles of creation, maintenance, and dissolution for hardware infrastructure and software workloads.
Jan 2026
- Architected a hybrid zero-trust mesh between AWS and on-premise Proxmox using Nebula to expose local workloads globally without open firewalls.
- Achieved hassle-free, single-command cluster dissolution and reconstruction via Terraform and Ansible pipelines.
- Implemented end-to-end continuous delivery for both infrastructure state using the Management Outpost pattern and application workloads using ArgoCD.
Greeter AI
An AI-based solution that greets guests at the door while simultaneously notifying me.
May 2024 - Jul 2024
- Built an AI-based guest management system integrating face recognition, real-time identification, and local video calling using OpenCV, TensorFlow or PyTorch, and Jitsi Server.
- Achieved a fully operational AI system that enhances guest interaction with personalized greetings, designed for low-latency local execution.
Tic Tac Toe
A web app where two people can play Tic-Tac-Toe, or one person can play against an AI.
- Created a web-based game enabling both solo and competitive play using Java and Svelte, with a sophisticated AI challenging players across ten difficulty levels.