I'm Bikram Sarkar — an Infrastructure & AI Systems Engineer with 13+ years of experience across IT Operations, Cloud Infrastructure, Incident Management, Reliability Engineering, and Platform Design.
I'm focused on building production-grade software using Rust, Go, Python, Distributed Systems, LLMs, and Cloud Infrastructure while working toward building a billion-dollar technology company that creates meaningful impact.
I didn't begin my career writing software. I began by solving customer problems, moved into technical support, then infrastructure operations, incident management, cloud monitoring, and platform engineering. That journey gave me something many engineers never experience— a deep understanding of how systems actually fail in production. I build software from that perspective. Every product I create is designed to reduce operational complexity, automate decision making, and make distributed systems easier to understand.
Learned empathy, communication, and problem solving under pressure.
Led monitoring operations across AWS, Azure, and Google Cloud while managing critical production incidents, reliability initiatives, governance, and operational excellence.
Building cloud-native applications using Rust, Go, Python, distributed systems, APIs, PostgreSQL, Kafka, and modern software architecture.
Building products that combine AI, observability, and systems engineering to solve infrastructure challenges at global scale.
An AI-native observability platform combining metrics, logs, traces, events, machine learning, and intelligent automation into one unified operating layer.
A modern satellite mission operations platform with telemetry pipelines, mission dashboards, anomaly detection, and AI-assisted spacecraft operations.
An AI-powered reliability engineer capable of analyzing telemetry, identifying root causes, recommending remediation, and reducing MTTR.
A distributed workflow orchestration engine focused on reliability, performance, concurrency, and enterprise-grade scheduling.
A long-term research initiative exploring systems thinking, second-order effects, strategic reasoning, AI decision making, and engineering leadership.
Enterprise AI Infrastructure. AI Operations. Autonomous Systems. Developer Platforms. Space Technology. The next decade is just getting started.
I'm always interested in conversations around distributed systems, observability, AI infrastructure, platform engineering, space technology, and ambitious startups solving difficult engineering problems.