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purvanshjoshi/README.md

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Overview

I am a Software Architect and Machine Learning Engineer driven by technical excellence and meaningful innovation. My work focuses on building scalable, high-performance systems and exploring the frontiers of data science.

  • 🏗️ Architecting resilient, end-to-end full-stack ecosystems.
  • 🧠 Developing intelligent agents and predictive time-series models.
  • 🔬 Pioneering the BIOSAFS framework for genomic data optimization.
  • ☁️ Mastering cloud-native deployments across AWS and Google Cloud.

Technical Arsenal


Languages & Core



Backend & Frameworks



AI & Data Science



Cloud & Infrastructure




Strategic Research

Tip

BIOSAFS: Bio-Spatial Encoding & Adaptive Flow Search A specialized framework designed to resolve computational bottlenecks in genomic sequence analysis through novel indexing and lossless compression.


Growth Analytics



"Engineering intelligent systems that bridge the gap from imagination to implementation."

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  1. IndiVoice-DeepASR IndiVoice-DeepASR Public

    Bridging the Accent Gap in Modern ASR — Fine-tuning OpenAI Whisper with LoRA for Indian-Accented Speech Recognition

    Jupyter Notebook 4 1

  2. PxA-Labs/AutoMaintainer PxA-Labs/AutoMaintainer Public

    An Always-On Autonomous AI Software Engineering Team built with LangGraph, FastAPI, and Next.js that operates natively within your GitHub repositories.

    Python 6 3

  3. PxA-Labs/interpretable-regulatory-genomics PxA-Labs/interpretable-regulatory-genomics Public

    Interpretable machine learning system for discovering hidden regulatory switches in non-coding DNA using ENCODE genomic data. Optimized for resource-constrained, reproducible research.

    Jupyter Notebook 4 3

  4. PxA-Labs/Project-RIPRA PxA-Labs/Project-RIPRA Public

    Algorithms for Wavefront Reconstruction, Turbulence Characterization, and Deformable Mirror Actuator Mapping using Shack-Hartmann WFS time-series data.

    HTML 1 1