Bridging 20+ years of high-stakes operations with distributed system architecture. Evolved from the physical layer (Logistics & Hardware) to the logical layer (Global Major Incident Management), now architecting resilient, fault-isolated trading engines and cloud ecosystems—amplified by Google Antigravity and OpenCode for 10x development velocity, autonomous verification, and adversarial design rigor.
Progressed from mission-critical logistics & hardware support to enterprise system architecture.
Over a decade leading global major incident recovery war rooms for Capgemini & Tech Mahindra.
Engineered live Python execution pipelines for NSE, BSE, NFO, MCX with zero database runtime latency.
Automated cloud governance, serverless edge workers, containerized Docker platforms, and D1/KV storage.
Pioneering agentic development: pairing with Google Antigravity & OpenCode for architectural auditing, rapid prototyping, and autonomous verification.
Designed and engineered an enterprise-grade, fault-tolerant algorithmic execution architecture. Each trading instrument is isolated into an autonomous execution kernel to eliminate cross-contamination risk, driven by a centralized data hub for deterministic tick delivery.
Leveraged Google Antigravity autonomous agent workflows and OpenCode as an active Architectural Review Board, conducting 24-concept validation matrices and adversarial stress-testing on tick-level state machines before deployment.
Instruments execute in completely independent runtime contexts. A crash or timeout in one symbol never cascades to other active trades.
Lifecycle state machine utilizes an in-memory ring buffer (zero database dependencies during trade-critical loops) for sub-millisecond reactions.
Structured JSONL logging, runtime call tracing, and tick replay capabilities allow microscopic post-trade auditability and continuous refinement.
Orchestrated Tier-1 critical incident war rooms under high business stakes. Governed global SLA frameworks across multi-national teams. Institutionalized rigorous post-mortem reviews and forensic root-cause analysis (RCA), embedding defensive engineering practices that directly inform today's automated supervision and self-healing system designs.
Led multi-disciplinary crisis recovery teams during catastrophic service outages. Directed rapid triage, technical isolation, and executive communication channels, ensuring minimal customer downtime and stringent contract SLA compliance.
Mastered hardware-level architecture (BIOS, memory channels, operating system kernels, and network interfaces). Built the bottom-up diagnostic mindset (Hardware → OS → Application layer) essential for distributed systems debugging.
Learned distributed systems fundamentals in physical logistics (Packages = Packets, Transit Routes = Network Paths). Internalized relentless SLA discipline and the composure required to manage mission-critical pipelines under strict deadlines.
Built an autonomous cloud monitoring and cost containment system using the OCI Python SDK.
Full-stack serverless deployment across the weuse.in edge ecosystem.
Engineered real-world automation solving friction points in data ingestion and media streaming.
Cloud Architecture & Security Principles
High-Pressure Leadership & Strategic Alignment
Incident, Problem & Change Governance
Autonomous Agent Workflows, Adversarial Logic Audits & 10x Velocity