Software, AI & Cloud Systems Engineer @ Google | Planet-Scale Databases | Enterprise Storage & High Availability | AI & Agent Orchestration
I am a systems engineer specializing in the intersection of distributed cloud databases, enterprise storage engines, and AI/LLM orchestration. Currently at Google Cloud, I build resilient, multi-region data protection frameworks and self-healing backup systems for planet-scale databases.
I focus on solving high-stakes cloud infrastructure challenges where security (CMEK), extreme fault tolerance, and massive throughput meet. Additionally, I am a pioneer in agent-assisted engineering, ranking in the top 3% of Google for LLM token usage and leveraging generative AI to build self-optimizing infrastructure.
- 😄 I like sport programming and developing Software.
- ⚡ I am Machine learning Enthusiast.
| Domain | Focus Areas | Key Technologies & Concepts |
|---|---|---|
| 🗄️ Planet-Scale Databases | Query optimization, transaction boundaries, relational & non-relational engines. | Spanner, Cloud SQL, SQL Server, Indexing, Query Shifting |
| 💾 Storage & Availability | Enterprise-grade data protection, point-in-time recovery (PiTR), high availability SLAs. | High-Throughput Pipelines, Backup/Restore Engines, SLAs (99.9%+) |
| 🌍 Multi-Region Systems | Disaster Recovery (DR) replication, cross-region failovers, hybrid fallback strategies. | Cross-Region DR Replicas, Regional Fail-Open Policies, Blast Radius Mitigations |
| 🤖 AI & Agent Orchestration | LLM-based system orchestration, automated capacity/backup planning, operational AI. | Gemini API, Agent Frameworks (Jetski), LLM-Assisted Scheduling, NLP |
| Category | Technologies |
|---|---|
| Core Languages | C++, Java, Go, Python, SQL, Bash |
| Databases & Engines | Google Spanner, Cloud SQL, AlloyDB, SQL Server, PostgreSQL, Redis |
| Cloud & Architecture | Google Cloud Platform (GCP), AWS, System Design, Scalable Control Planes, IAM, VPC-SC |
| AI & Automation | Gemini API, LLM Agents (Antigravity), NLP, Computer Vision (OpenCV) |
| Tools & Infrastructure | Git, Docker, Kubernetes, Terraform, gcloud, Jupyter, Pandas |
- AI-Powered Backup Optimization: Won an internal Google AI Hackathon by designing and implementing Schedule Suggester, an intelligent agent powered by Gemini Pro. The tool analyzes database load profiles and transaction write-patterns to automatically propose cost-efficient, low-traffic backup windows.
- AI-Assisted Engineering Pioneer: Positioned in the top 10% of Google for AI/LLM integration. Championed codebase readiness for AI tools by refactoring documentation across internal repositories to improve automated code synthesis.
- NLP & Document Understanding (Instabase): Designed and deployed NLP and machine learning models to extract key features and structures from complex, unstructured documents with strict SLA guarantees.
| Project | Core Concept | Tech Stack |
|---|---|---|
| 🚗 Scheduling & Route Optimization | Python data science model for real-time cab pooling and fleet routing optimizations. | Python, Pandas, Jupyter |
| 🛡️ DevSena Road Safety | Computer vision and ML pipeline for instant road accident detection and emergency routing. | Python, OpenCV, ML |
| 💻 Algorithmic Engine | Solutions and optimized implementations tracking competitive programming modules. | C++ |
| 🧮 Interactive Scientific Calculator | Responsive, state-managed web calculator with custom mathematical parse engines. | JavaScript, HTML5, CSS3 |
- LinkedIn: linkedin.com/in/abitnav
- GitHub: @aBITnav
- Email: abhinav98jha@gmail.com