I build backend systems, cloud infrastructure, and network dataplanes — from designing async event-driven architectures to benchmarking databases at the cluster level to programming network telemetry in P4. I'm also academically trained in Machine Learning, with hands-on experience in PyTorch and TensorFlow.
Currently looking for Backend, Cloud/Infrastructure, or ML Engineer roles.
E-Commerce Microservices · Go
Production-style distributed backend with 6 services communicating over gRPC and Kafka. Features async order→payment→notification pipeline, JWT auth at the API gateway, atomic stock management with SELECT FOR UPDATE, and full Docker Compose orchestration.
Go gRPC Apache Kafka PostgreSQL Docker JWT
Cassandra Performance Tuning · Python
Deployed a 3-node Cassandra cluster, stress-tested it with a custom Python benchmark, then tuned it to achieve +107% write throughput, -66% p99 read latency, and zero timeout errors (down from 373).
Python Apache Cassandra Docker Performance Engineering
In-band Network Telemetry (INT) · P4 / Python
Implemented the full INT pipeline using P4_16 on BMv2 — source, transit, and sink nodes stamp nanosecond-precision per-hop metadata (latency, queue depth, port IDs) directly into packet headers. Python controller collects telemetry reports and detects path changes and congestion events in real time. 21 automated tests, all passing.
P4_16 BMv2 Mininet Python Scapy Network Programmability
File Encryptor · C++
AES-based file encryption and decryption tool built in C++.
C++ Cryptography Systems Programming
Languages: Go · Python · C++ · P4_16 Backend & Infrastructure: Docker · Kafka · gRPC · PostgreSQL · Cassandra Cloud & Networking: BMv2 · Mininet · Network Programmability Machine Learning: PyTorch · TensorFlow Concepts: Distributed systems · Event-driven architecture · Performance tuning · Systems programming
Open to Backend / Cloud / Networking / ML Engineering roles. Feel free to reach out.