Distributed-systems engineer building fault-tolerant, horizontally-scalable services — high availability, consensus and coordination across large fleets. Contributor to a live 100-node distributed edge system.
Projects
Leopard Detection System — Distributed & Fault-Tolerant Fleet
Engineered high availability, coordination and scaling across a 100-node distributed edge system.
- High-availability camera failover: heartbeats detect node failure and a nearest-neighbour scheduler re-homes the stream in seconds — no single point of failure.
- Multi-agent coordination: perception, tracking, alerting and dispatch agents coordinate over a message bus to turn detections into actions.
- Scaling & load distribution: consistent-hashing-style placement spreads cameras / work evenly and rebalances when nodes join or leave.
- Orchestration: Kubernetes-style self-healing and zero-downtime rolling updates across the fleet.
- Messaging backbone: pub/sub topics with partitions & offsets carry telemetry reliably at fleet scale.
Reliability Engineering
- Defined SLOs and wired metrics / logs / traces for fleet-wide observability.
- Chaos testing: killed nodes to prove automatic failover and self-healing.
- Communication over gRPC and secure WireGuard overlays.
Advanced AI Ecosystem Training
by DeepManthan AI Production AI Ecosystem Program
Intensive program on building & operating production AI systems — containers, orchestration, distributed systems, networking and deep learning.
Containerisation — Docker, images, isolation, OTA rollouts
Orchestration — Kubernetes, self-healing, scaling
Distributed Systems — Raft consensus, consistent hashing
Messaging — pub/sub, topics, partitions, offsets
Concurrency — multi-threading, producer–consumer
Computer Vision — CNNs, convolution, detection
Networking — TCP/IP, SSH, private overlays
Linux & Ops — processes, daemons, systemd
Impact Highlights
100
nodes coordinated
99.95%
availability
Zero
downtime on rollouts
Auto
failover & self-healing