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Abhinav-Anil/README.md

Hi, I'm Abhinav Anil

Senior Data Scientist | Machine Learning | Applied AI | Cloud Systems

Designing production-grade ML systems, scalable data pipelines, and applied AI solutions for enterprise use cases.


About Me

  • Senior Data Scientist with strong experience in production ML systems
  • Working across full lifecycle: problem framing → modeling → deployment → monitoring
  • Focused on applied AI, forecasting, optimization, and intelligent systems
  • Building scalable cloud-native ML applications
  • Interested in solving real-world problems through robust engineering

Core Expertise

Machine Learning & AI

  • Supervised Learning
  • Deep Learning
  • NLP
  • Forecasting
  • Recommendation Systems
  • Optimization

Applied AI Systems

  • LLM Integration
  • AI Agents
  • Retrieval Systems
  • Computer Vision Pipelines
  • Real-time Inference Systems

Data Engineering

  • Large-scale Data Processing
  • SQL Optimization
  • ETL Pipelines
  • Feature Pipelines

Deployment & Cloud

  • AWS
  • GCP
  • Docker
  • NGINX
  • API Deployment

Development

  • Python
  • SQL
  • Django
  • Linux
  • Git

Languages and Tools


Featured Areas

  • Production ML Systems
  • Forecasting & Optimization
  • Large Language Model Applications
  • Computer Vision Solutions
  • Cloud-based AI Deployment
  • Backend AI Integration

Featured Projects

Intelligent AI Systems

  • LLM-powered enterprise assistants
  • Retrieval-based document intelligence systems
  • AI-driven workflow automation

Machine Learning Solutions

  • Forecasting systems
  • Predictive analytics pipelines
  • Optimization models

Applied Computer Vision

  • Real-time detection systems
  • Video analytics pipelines
  • Edge AI deployments

GitHub Stats


GitHub Trophies


Connect With Me


Profile Views

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  1. Herokup_App_Deployment Herokup_App_Deployment Public

    Deployment of web application with flask on the cloud through Heroku

    Python 1 1

  2. Vision Vision Public

    Boundingbox and Illusion effect in static background

    Python 2 2

  3. Face detection using no deep learnin... Face detection using no deep learning with FPS of greater than 200
    1
    import cv2
    2
    import mediapipe as mp
    3
    import time
    4
    
                  
    5
    mp_facedetector = mp.solutions.face_detection
  4. Arranging the file/dir in their resp... Arranging the file/dir in their respective folder
    1
    import os
    2
    import shutil
    3
    
                  
    4
    current_dir = os.path.dirname(os.path.realpath(__file__))
    5