Achintya Kulshrestha
Hyderabad
Summary
High-achieving Software Engineer specializing in backend development, large-scale distributed systems, and cloud security. Demonstrated success at Google Cloud in designing and launching essential infrastructure features that bolster data protection and elevate user experience. Skilled in utilizing AI/ML to enhance engineering productivity, with expertise in Golang and C++.
Overview
5
5
years of professional experience
Work History
Software Engineer III
GOOGLE
Hyderabad
07.2022 - Current
- Control Plane Engineering & Product Launch: Led the end-to-end low-level design and implementation of the 'Editable Backup Plan' feature. Managed the full lifecycle from UX review through public launch, providing customers with the flexibility to modify protection policies in real-time.
- Scalable Workload Monitoring: Architected and deployed the 'Workload Catalog', a centralized, near-real-time platform designed to monitor protection status for GCE VMs and disks at a massive scale, providing unified visibility across the GCP ecosystem.
- Greenfield Adoption & Automation: Engineered initialization service APIs utilizing a singleton resource model to facilitate "Zero-Touch" protection for new VMs. This automation significantly lowered the barrier to entry for greenfield customers and ensured immediate data resiliency.
- Enterprise Compliance & Security: Strategically expanded the service’s Total Addressable Market (TAM) by leading the implementation of critical security and compliance guardrails, including VPC-Service Controls (VPC-SC), Access Transparency, and Wipeout (secure data removal) processes.
- Strategic Feature Development: Designed and improved the BackupDR control plane to support Default Vaults, a feature that streamlined the user onboarding experience and directly resulted in an 80% boost in customer adoption.
- AI Innovation & Leadership: Secured 2nd Place in the BackupDR AI Hackathon for the development of the 'Horizontal Buddy Agent,' an LLM-powered internal tool. Recognized as a top collaborator and mentor, receiving 37 performance awards (Spot and Peer Bonuses) for code excellence and technical guidance.
Software Development Intern
APPDYNAMICS
Bangalore
05.2021 - 07.2021
- Observability Automation: Built a diagnostic suite to automate the detection of database regressions; reduced MTTR by providing engineers with instant root-cause analysis.
- Statistical Outlier Detection: Implemented an unsupervised learning pipeline using the DBSCAN algorithm to differentiate between transient noise and critical database anomalies.
- Predictive Analytics: Utilized ARIMA modeling to perform time-series forecasting on system-level metrics (IOPS, Latency, CPU), transitioning the team from reactive to proactive performance management.
Education
B.Tech - Electronics Engineering
IIT (BHU)
VARANASI06-2022
Senior Secondary -
Abhinav Public School
New Delhi, India03-2018
Skills
- Go (Golang)
- C
- Java
- Data Structures
- Algorithms
- Cloud infrastructure
- API development
- Data analysis
- System architecture
- Control plane engineering
- Distributed Systems
- Google Cloud Platform (GCP)
- Container Orchestration
Accomplishments
Awarded Outstanding Impact rating for 2023 and 2025 at Google
Timeline
Software Engineer III
GOOGLE
07.2022 - Current
Software Development Intern
APPDYNAMICS
05.2021 - 07.2021
B.Tech - Electronics Engineering
IIT (BHU)
Senior Secondary -
Abhinav Public School