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Saim-Naushad/README.md

Hi, I'm Saim

Computer Science student at UMass Amherst building distributed systems, industrial software, and applied machine-learning systems. My work spans vector search and high-performance computing, event-driven telemetry platforms, computer vision, and software for the physical world.

I’m especially interested in turning real-world data into reliable, explainable operational decisions.

Featured projects

Project What I built
ODIS Event-driven industrial operations platform that converts Kafka and MQTT telemetry into explainable, auditable operator decisions.
Distributed HNSW Benchmark Million-scale vector-search benchmarking on the UMass Swarm HPC cluster with reproducible performance analysis.
DistANN C++ research implementation for distributed approximate nearest-neighbor search using HNSW and CLIP embeddings.
Tennis AI Analysis Computer-vision pipeline for player and ball tracking, court mapping, and match analytics.

Technologies

PythonC++GoJavaTypeScriptFastAPIApache KafkaPostgreSQLDockerKubernetesPyTorchTensorFlowOpenCV

Contribution activity

Saim Naushad's GitHub contribution animation

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  1. Tennis-AI-Analysis Tennis-AI-Analysis Public

    This project uses deep learning to analyze tennis matches, focusing on player tracking, ball detection, and court keypoint identification. It includes pre-trained models and a pipeline for detectin…

    Python 4 1

  2. distann distann Public

    Forked from fadhilkurnia/distann

    Distributed ANN Serving

    C++

  3. distributed-hnsw-benchmark distributed-hnsw-benchmark Public

    Python

  4. Odis Odis Public

    Python

  5. sonyaivko/UFound sonyaivko/UFound Public

    TypeScript 3

  6. chaudharycoding/Lume chaudharycoding/Lume Public

    HTML 2