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Paramveersingh-S/README.md

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Animated Welcome

Machine Learning | Embedded Software | Cyber Security | Kernel Programming

๐Ÿš€ About Me

  • ๐Ÿ‘‹ Hi, Iโ€™m @Paramveersingh-S
  • ๐Ÿ‘€ Iโ€™m interested in Machine Learning, Embedded software, Cyber Security, and Kernel Programming
  • ๐Ÿค Open to collaboration and research paper analysis - ๐Ÿ’ž๏ธ Always ready to explore new ideas and challenges in tech
  • ๐Ÿ”ญ Currently building Scalable Full-Stack Architectures & Deep Tech Solutions
  • GitHub stars


๐Ÿ“ˆ GitHub Analytics & Repository Mapping

Paramveer's GitHub Activity Graph



๐Ÿ› ๏ธ Tech Stack & Tools


๐Ÿ† Achievements & Publications

๐ŸŒŸ Program Highlights


NASA Space Apps Logo ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย ย  Contributor Badge

NASA Space Apps Global Nominee ย  || ย  GSSoC AI/ML Contributor

๐Ÿš€ Competitions & Open Source

  • ๐ŸŒ NASA Space Apps Challenge: Global Nominee & Regional Winner (Selected out of 18,868+ participating teams)
  • ๐Ÿ’ป GirlScript Summer of Code (GSSoC): Selected Contributor for the AI/ML and open-source track
  • ๐Ÿฅ‡ IPD EXPO (2025): 1st Position Winner for exceptional technical execution among 30+ projects
  • ๐Ÿค– AI Hack Matrix (2026): Finalist from over 300+ teams
  • ๐Ÿ‡ฎ๐Ÿ‡ณ India Innovates: National Finalist (Recognized among 35,000+ national entries)

๐Ÿ“œ Research & Academia

  • ๐Ÿ“˜ IEEE-ICSPED Conference: Authored & presented "CHRONOS: A Chaos-Harnessed TRNG for Neural Initialization and Secure Key Synthesis".
  • ๐Ÿ“™ Springer Journal (Accepted): Authored "AI Driven Sanskrit Character Recognition and Translating to Text and Audio Formats: A Step Towards IKS Revival".
  • ๐Ÿ”ฌ Internships: Software Development Intern at CSIR-CSIO & Manufacturing/Automation Intern at Yamada Automation.

Thanks for visiting! โญ Feel free to check out my repositories and collaborate! ๐Ÿš€

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  1. Flash-Atten2-MMA Flash-Atten2-MMA Public

    FlashAttention-2 implementation from scratch. Features custom PyTorch C++ bindings, dynamic kernel dispatching, and hardware-accelerated Tensor Core MMA optimizations for D=128 LLM architectures.

    Cuda 1

  2. black-scholes black-scholes Public

    Interactive, fromโ€‘scratch implementation of the Blackโ€‘Scholes model with full Greeks, P&L scenarios and a live Plotly dashboard. No external pricing libraries (QuantLib, etc.) are used โ€“ all formulโ€ฆ

    Python 1

  3. Agentic-RAG-for-Time-Series-Analysis Agentic-RAG-for-Time-Series-Analysis Public

    An end-to-end multi-agent Retrieval-Augmented Generation (RAG) system built to provide a conversational interface for complex time-series data. This architecture seamlessly merges traditional data โ€ฆ

    Python

  4. earning-predictor earning-predictor Public

    An AI-powered Financial Pipeline & Dashboard predicting whether a stock will BEAT or MISS its quarterly earnings.

    Python 1

  5. Custom-HGEMM Custom-HGEMM Public

    A production-grade, highly-optimized Half-Precision General Matrix Multiplication (HGEMM) CUDA kernel built from scratch. This project demonstrates mastery over NVIDIA GPU architectures, shared memโ€ฆ

    Cuda 1

  6. cuda-insight cuda-insight Public

    CUDA Insight is an all-in-one educational toolkit and profiler designed to demystify GPU performance. Whether you're learning CUDA or optimizing a production kernel, CUDA Insight wraps NVIDIA's powโ€ฆ

    Python 1