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Staff Engineer
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Startup
Staff Engineer – Android
June 13, 2026 – Present
high-performance-llm-inference-engine
May 30, 2026 – Present
Inference server supporting continuous batching, KV cache management, speculative decoding and INT4/INT8 quantization
View Projectai-nic-perf-profiler
May 29, 2026 – Present
An observability primitive that closes the attribution gap between NIC hardware counters and distributed training throughput degradation enabling data-driven decisions on fabric topology, RDMA tuning and SR-IOV partition sizing across GPU cluster deployments
View Projectmulti-tenant-llm-gateway
April 23, 2026 – Present
Multi-Tenant LLM Gateway with Semantic Caching & Rate Limiting
View Projectportfolio-webapp
April 21, 2026 – Present
A portfolio webapp for ai-ml infra related aspects
View Projectkubernetes-gpu-scheduler
December 24, 2025 – Present
kubernetes-gpu-scheduler — GitHub repository
View Projectdistributed-training-framework-nccl
December 24, 2025 – Present
Mini Distributed Training Framework using NCCL
View Projectcustom-cuda-kernel-triton-kernel
December 24, 2025 – Present
custom-cuda-kernel-triton-kernel — GitHub repository
View Projectkernel-level-ai-traffic-shaper
October 25, 2023 – Present
high-performance traffic management system for AI inference workloads built using eBPF and Linux networking primitives
View Projecttechnology-frameworks
October 25, 2023 – Present
ai-infrastructure-development, ai-application-development etc
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on AI/ML infrastructure and high-performance computing, which aligns with an 'AI Startup' environment. However, the target role is 'Staff Engineer – Android', which is a significant mismatch with the demonstrated project experience. While the candidate has a current role listed as 'Staff Engineer – Android', there are no associated skills or project details to support this. The breadth of skills is narrow, primarily focused on AI/ML infrastructure rather than general software engineering or Android development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.