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solankiharsh/README.md

Hi, I'm Harsh Solanki πŸ‘‹

Machine Learning Deep Learning MLOps Full Stack Engineering AWS

I'm a Senior ML Engineer at Target Tech India, passionate about deep learning in computer vision and full-stack engineering. My expertise spans Python, AWS, Springboot, Java, Scala, Kafka, PyTorch, TensorFlow, Flask, FastAPI, React, and Docker. A professional introvert, I love to write, learn, and explore new technologies every day.

  • πŸ”­ I’m currently working on building a MLOps platform from scratch.
  • 🌱 I’m currently learning about advanced machine learning techniques and full-stack development.
  • πŸ‘― I’m looking to collaborate on projects involving computer vision and natural language processing.
  • πŸ€” I’m looking for help with deep learning in computer vision.
  • πŸ’¬ Ask me about machine learning, AWS, full-stack development, or anything tech-related.
  • πŸ“« How to reach me: LinkedIn

A Bit More About Me

I'm driven by a mathematical captivation and a curiosity to question and improve existing processes. My work in machine learning covers algorithms like Decision Trees, SVMs, Neural Networks, and much more. I'm also skilled in statistical techniques and experienced with a variety of data applications and databases.

πŸ” My core competencies include:

  • Machine Learning and Deep Learning
  • Data Mining and Data Engineering
  • Natural Language Processing and Computer Vision
  • Data Analysis and Visualization

πŸ“ˆ I enjoy turning complex data into compelling stories through visualization, and I'm passionate about empathetic leadership and clear communication within teams.

Some of My Work

Lending Club Insights and Modeling Fraud Detection Don't Overfit Learning Deep Learning Automating Video Editing CoWIN Vaccine Availability

Harsh's GitHub Stats

Outside of work, I value meeting new people, engaging in deep conversations, and building lasting relationships. I believe in the power of empathy, gratitude, and networking to foster meaningful connections and achieve professional success.

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