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aryanputta/README.md


AI infrastructure · LLM inference · KV cache systems · distributed systems · cloud backends
Rutgers computer science and data science student. I work on inference latency, memory bandwidth, and throughput under real hardware constraints, and I contribute those fixes upstream.
portfolio · merged open-source PRs · LinkedIn



OPEN SOURCE

33 merged pull requests across NVIDIA · IBM · Dynamo · FlashAttention · Kubernetes · Microsoft · simdutf · AWS · HuggingFace · kornia · Liger Kernel · Pulumi — inference, CUDA, CI, and ML-systems internals


NVIDIA/cuda-python#2087
FIPS-safe hashes for program cache keys
NVIDIA/cuda-quantum#4688
nvqpp: discriminate measured-register bool iteration
huggingface/accelerate#4054
Aggregate profiler memory example
Dao-AILab/flash-attention#2622
weights_only=True across all torch.load sites
ai-dynamo/dynamo#10281
HTTP 415 for unsupported image formats
linkedin/Liger-Kernel#1157
Guard save_for_backward on grad_bias in fused linear CE



SYSTEMS WORK

KVCacheForge-X
KV-cache bottleneck lab. Measures TTFT, latency, throughput, HBM stalls, and GPU busy against baseline deltas.
RoboFleetOps
AWS-native robotics fleet control plane on Lambda, DynamoDB, SQS, IoT Core, and API Gateway, deployed via CDK CI.
PosCacheBench
Long-context benchmark for positional-attention failure modes under fixed KV-cache budgets.
LunarLinkBench
Monte Carlo model of lunar comms links, separating relay passes from direct-to-Earth feasibility.



RESEARCH

satellite telemetry anomaly detection
100K telemetry readings · 5 NASA/ESA fault modes · recurrence-plot CV · 0.91 F1 on Kepler-class wheel oscillation
PDF · repo
bell labs ml impact analysis
71-paper corpus · semantic clustering · co-authorship networks · Gradient Boosting AUC 0.674 · SHAP attribution
PDF · repo



How I work: every performance claim ships with reproducible commands, a named baseline, the hardware and software environment, and an honest limitations section. A result I cannot reproduce is not a result.

Available for software engineering, research engineering, systems engineering, and machine learning internships and co-ops, including off-cycle terms. Also AI infrastructure and ML systems roles, cloud and backend engineering, early member-of-technical-staff (MTS) programs, and founding or early-stage engineering at seed and Series A startups.
Undergraduate at Rutgers University, B.S. Computer Science and Data Science, class of 2028. Based in the New York and New Jersey area, open to relocation including San Francisco and the Bay Area, and to remote.
systems project evidence · KV-cache writing · aryanputta.com

Pinned Loading

  1. KVCacheX KVCacheX Public

    Memory-aware LLM inference optimizer for KV cache compression, eviction, and scheduling.

    Python

  2. adaptive-compute-runtime adaptive-compute-runtime Public

    Adaptive C++/CUDA runtime that profiles workloads at submission time and dynamically routes to CPU, GPU, or batched execution based on arithmetic intensity and transfer cost

    C++

  3. Helios Helios Public

    Hardware-aware compute runtime in C++ and CUDA for real sparse, dense, and graph workloads.

    C++

  4. IBM/aiu-trace-analyzer IBM/aiu-trace-analyzer Public

    A tool to post-process json trace files for IBM-AIU performance analysis. It enhances the traces with additional statistics extracted from the trace data itself and (optionally) by combining it wit…

    Python 13 7