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SHREENIDHI1903/README.md

Hi there! I'm Shreenidhi T H πŸ‘‹

Machine Learning Engineer | GenAI & LLM Solutions Developer | PyPI Author

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πŸš€ Professional TL;DR

I am a Bengaluru-based Machine Learning Engineer dedicated to moving AI from research papers to production. I specialize in the "missing middle" of AIβ€”optimizing LLMs, building RAG pipelines, and deploying scalable MLOps infrastructure.

  • πŸ› οΈ Current Focus: Leading AI/ML orchestration at Strategic AI Consulting.
  • πŸ“¦ Open Source: Author of specialized Python packages with 3.6K+ downloads.
  • πŸŽ™οΈ Knowledge Sharing: 600+ hours spent training professionals on Transformer Internals, LoRA, and Agentic AI.
  • πŸ€– Core Tech: Python, PyTorch, LangChain, FastAPI, Docker, and Azure.

πŸ› οΈ Technical Arsenal

Category Tools & Technologies
AI / Machine Learning PyTorch, TensorFlow, Scikit-Learn, Hugging Face, OpenCV
Generative AI & LLMs LangChain, RAG Pipelines, Prompt Engineering, LoRA/QLoRA, Vector DBs
Backend & MLOps FastAPI, Flask, Docker, Celery, RabbitMQ, Git
Data & Cloud SQL, Azure, MongoDB, Pinecone, Weights & Biases
Frontend / Visualization React, Next.js, Tailwind CSS, Streamlit

πŸ§ͺ Featured Research & Projects

Real-Time Multilingual Support Platform

  • Description: A low-latency voice-to-voice translation system using Meta MMS-1B and WebSockets. Designed for seamless customer-agent interaction across 20+ languages.
  • Tech Stack: React, FastAPI, MMS-1B, Google TTS, Asyncio.
  • Impact: Robust RBAC for agent management and regional Indian language support.

Automated Feature Engineering Engine

  • Description: A modular Python package to automate feature selection, identifying the most impactful variables to reduce training time and boost model accuracy.
  • Tech Stack: Python, Scikit-learn, XGBoost, LightGBM.
  • Impact: Published on PyPI (pip install smartfeatureselectml) with a focus on production-ready Recursive Feature Elimination.

πŸ—οΈ SmartSoilBuilder

AI-Powered Geotechnical Decision Support

  • Description: Bridges the gap between geotechnical data and construction strategy, providing actionable building recommendations based on ML soil classification.
  • Tech Stack: React, FastAPI, Python (SLM Data Analysis).
  • Impact: Real-time dashboard for visualizing soil stability and geotechnical health metrics.

Intelligent Career Growth Automation

  • Description: A high-reliability scraper that monitors LinkedIn for priority job postings, delivering real-time email notifications to stay ahead in the job market.
  • Tech Stack: Python, Playwright, SMTP, Pandas.
  • Impact: Bypasses manual searching with cookie-based authentication and automated SMTP alerts.

Deep Learning Document Authentication

  • Description: A security-focused application using CNNs to verify signatures. Detects genuine vs. forged signatures with high precision.
  • Tech Stack: TensorFlow, Keras, React, FastAPI.
  • Impact: Live deployment for real-time stroke/pressure analysis and immediate authentication feedback.

AI-Driven Diagnostic Support

  • Description: End-to-end medical imaging tool that applies Deep Learning to MRI scans to assist researchers and clinicians in early tumor detection.
  • Tech Stack: React, FastAPI, Python, CNN.
  • Impact: Direct web-based inference pipeline for high-throughput medical image analysis.

πŸ“Š Vital Signs & Impact

Shreenidhi's GitHub Stats Top Languages

GitHub Streak


πŸ“œ Recent Blog Posts & Insights

  • πŸ“ Understanding Transformer Internals from Scratch
  • πŸ“ Optimizing OCR Pipelines with LayoutLM and FastAPI
  • πŸ“ The Rise of Agentic AI in Enterprise Workflows

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  1. Bhasha-Voice-Assisted-Multilingual-Chatbot Bhasha-Voice-Assisted-Multilingual-Chatbot Public

    JavaScript

  2. JOB_ALERT_AUTOMATION JOB_ALERT_AUTOMATION Public

    Python 1

  3. AutoFeatureSelect AutoFeatureSelect Public

    Python 1

  4. signature-verifier signature-verifier Public

    Python 1

  5. Smart_soil_analysis Smart_soil_analysis Public

    TypeScript

  6. Brain_Tumor_Detection Brain_Tumor_Detection Public

    JavaScript