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Achievement: QuickdrawAchievement: Arctic Code Vault ContributorAchievement: Pull Shark

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Nik-Reddy/README.md

Hi there, I'm Nikhil R Pallepati 👋

🎨 Portfolio  |  LinkedIn  |  Kaggle  |  nikhilreddyp29@gmail.com

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About Me

Machine Learning Engineer with 4+ years building production ML systems at PNC Financial Services, cPacket Networks, and Tata Consultancy Services. Carnegie Mellon MSISM graduate. Active open-source contributor to PyTorch, OpenTelemetry, and Semantic Conventions.

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Contribution Details

Open Source Contributions

Project PRs Area
PyTorch #180408 - torch.eye CPU performance fix Core Performance
OTel Python Contrib #4415 TTFT metric, #4416 Structured outputs, #4417 Content capture fix, #4418 Cohere chat, #4419 vLLM instrumentation, #4421 Cohere streaming GenAI Observability
OTel Python #5080 - OpenTracing shim SpanKind fix Tracing Shim
Semantic Conventions #3624 - Token cache and reasoning attributes GenAI Spec
OTel .NET Code review on #7033 - identified trailing underscore bug (fix adopted) Prometheus Exporter

Skills

ML/DL: PyTorch, TensorFlow, Hugging Face, Scikit-learn  •  Languages: Python, C++, SQL, Java  •  Data: Spark, Kafka, Pandas  •  Cloud: AWS, Azure, GCP, Databricks  •  Infra: Docker, Airflow, Git, OpenTelemetry

Experience

  • Sr. Software Engineer, Machine Learning at PNC Financial Services (Nov 2023 - Present)
  • Machine Learning Engineer at cPacket Networks / Carnegie Mellon Capstone (May - Aug 2023)
  • Systems Engineer (ML) at Tata Consultancy Services (Feb 2019 - Jul 2022)

Education

  • M.S. Information Systems Management - Carnegie Mellon University (2023)
  • B.E. Electronics and Communication Engineering - JNTU Hyderabad (2018)

Trophies

Trophies

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  1. Capstone-Project-ML-with-Python-By-IBM- Capstone-Project-ML-with-Python-By-IBM- Public

    Jupyter Notebook

  2. Cheatsheet_Spacy Cheatsheet_Spacy Public

    Jupyter Notebook

  3. Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization Improving-Deep-Neural-Networks-Hyperparameter-tuning-Regularization-and-Optimization Public

    This is a part of Deep Learning Specialization.

    Jupyter Notebook

  4. Iris-Dataset-Classification Iris-Dataset-Classification Public

    This explains about the different species in Iris Data set and its implementation using different classifiers.

    Jupyter Notebook

  5. Neural-Networks-and-Deep-Learning Neural-Networks-and-Deep-Learning Public

    Deep Learning Specialization (Prof. Andrew Ng): Course 1

    Jupyter Notebook

  6. Peer-to-Peer-Lending_Investment-Strategy-Analysis_LendingClub Peer-to-Peer-Lending_Investment-Strategy-Analysis_LendingClub Public

    Lending Club’s loan dataset to guide investment decisions

    Jupyter Notebook