Ashraf Ahmed
Backend, Systems & ML-focused Engineer.
Contributor to Zalando Skipper & CNCF etcd — 6 merged PRs running in production, including a load-balancing algorithm.
Final-year CS · Bengaluru, India · open to SWE roles, 2026
Open Source
weightedRoundRobin Load-Balancing Algorithm
Designed and shipped a smooth weighted round-robin algorithm with dynamic health-derived endpoint weights. Defended the locking design under maintainer review with a self-built C benchmark harness sustaining ~31k req/s at 1,000 endpoints — the harness was kept in the repo for testing all algorithms.
Prometheus Native Histogram Support
Implemented opt-in native histogram support with OTEL-recommended bucket tuning, deploying to production Kubernetes clusters while maintaining backward compatibility with existing dashboards.
Per-Data-Client Load Latency Metrics
Added instrumentation to measure route-loading latency per data source, giving SRE teams visibility into which integrations are slow.
TLS Certificate Matching Documentation
Clarified security documentation for certificate-matching semantics across v3.5–v3.7, resolving a long-standing confusion about wildcard support.
Go Toolchain Security Updates
Patched three CVEs by bumping Go to 1.25.11 as part of etcd organization's tracked security effort.
Selected Projects
Aegis — AI-Native Distributed Systems Observability Platform
Automated microservice failure prediction and root-cause analysis, achieving a 228-second predictive warning lead time and 100% topological diagnosis agreement, by engineering an event-time stream correlator using Kafka and a shadow-mode MLOps pipeline with HistGradientBoosting and PSI drift monitoring.
Go + Java Auth Platform — Polyglot Microservices Identity System
Built a two-service identity platform: a Go auth service with rotating refresh tokens, reuse detection, and a Redis JTI blacklist, consumed by a Java/Spring Boot resource API that validates every request over gRPC — with a token-hash Caffeine validation cache and a fail-closed Resilience4j circuit breaker. 61 tests (Testcontainers + in-process gRPC) in CI; k6-load-tested at ~92 req/s with 6ms p50 across the two-service auth path.
Custom Key-Value Storage Engine
Built a durable, crash-resilient storage engine from scratch in Python, achieving ~26,000 writes/sec in batched fsync mode and 100% recovery rates under simulated unclean shutdowns (kill -9), by designing an LSM-tree architecture with a Write-Ahead Log, Bloom filters, and size-tiered compaction.
ClearText API — Async AI Inference Platform
Optimized toxic comment ML inference throughput, scaling to 231 requests/sec at 106ms average latency under a 500 concurrent-user load, by building an asynchronous FastAPI serving backend utilizing Celery task queues, Redis model-versioned caching, and a custom worker micro-batcher.
Distributed Log Processing & Analytics System
High-throughput real-time log processing platform ingesting 343 logs/sec with 10ms P50 latency and 99.5% processing reliability, with real-time alerting and analytics.
Lightweight Radar–Camera Fusion System (RAMP-CNN + YOLO)
Multi-modal object detection system achieving >90% accuracy on 5,000+ COCO samples with CUDA acceleration. Published as peer-reviewed research paper (ASIANCONF 2026).
About
Final-year Computer Science student and backend/distributed systems engineer with hands-on experience building production-grade distributed applications, high-performance storage engines, and real-time AI inference platforms. Proven expertise in designing scalable, reliable, and observable systems that handle high concurrency with low latency.
New Horizon College of Engineering, Bengaluru
B.E in Computer Science and Engineering | GPA: 7.71 | Nov 2022 – July 2026
Coursework: Data Structures & Algorithms, Design & Analysis of Algorithms, Operating Systems, Computer Networks, Database Management Systems, Linux System Programming, Computer Architecture (ARM), Machine Learning, Generative AI, Cloud Architecture & Security
Publication
ASIANCONF 2026 — "Lightweight Radar-Camera Fusion for Real-Time Drone Detection" (Peer-reviewed)
Skills & Tech Stack
Get in Touch
Interested in working together or have a question? I'd love to hear from you.
ashrafahmed1232@gmail.com