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@sauravsolanki
sauravsolanki
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Working from home

Saurav Solanki sauravsolanki

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Working from home
I love building Micro-service.

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sauravsolanki /README.md

Hi, I'm Saurav Solanki

Welcome to my GitHub profile! I'm a Software Engineer with over 4+ years of experience in designing and implementing various Microservice including Backend Server in FastAPI/Flask, Event Driven Architecture, Machine Learning systems, Edge Device Management Server and many more, primarily leveraging AWS Cloud Infrastructure and Python. I combine expertise in Software Engineer to deliver robust and scalable solutions on AWS.

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About Me

  • πŸ”­ Current Role: Software Engineer, ML Reliance Jio subsidiary.
  • 🌱 Passion: I thrive on solving problems using Python and enjoy building infrastructure on AWS with tools like Docker, Redis, MLFlow, MongoDB, and Kafka. I'm also passionate about creating efficient Backend System, ML pipelines and deploying multiple trained models for real-world applications.
  • πŸ’Ό Experience: With a solid background in Software design, I have honed my skills in two successful early-stage startups, always eager to learn and excel in implementation. I've also led a research project at IIT Delhi, developing intelligent edge devices for visually impaired individuals.
  • πŸš€ Mindset: Always open to challenges and contributing to social causes.

Get in Touch

Skills

  • Programming Languages: Python, Javascript
  • Containerization: Docker, Kubernetes
  • Cloud Platforms: AWS Services (S3, EC2,Lambda, API Gateway, SQS, SNS, EventBridge,Cloudwatch, AMI, Redshift, Bedrock )
  • Message Brokers: Kafka, MQTT, ActiveMQ, SQS
  • Workflow Orchestration: Airflow, Prefect
  • Web Frameworks: FastAPI, Flask
  • Databases: Redis, MongoDB, SQL
  • Logging and Monitoring: Elastic Stack (ELK), Datadog
  • Machine Learning: TensorFlow, OpenCV, Scikit-learn, Seaborn, Numpy and Pandas

Feel free to explore my repositories and connect with me for any collaborative opportunities or discussions around technology and innovation. Let's build something amazing together!

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  1. mlops mlops Public

    Code to Deploy mlops-level-4 infrastructure to AWS

    Python

  2. VehicleDetection VehicleDetection Public

    Jupyter Notebook

  3. crack-detection crack-detection Public

    Jupyter Notebook

  4. fastapi-docker-elk fastapi-docker-elk Public template

    Shell

  5. code-llama code-llama Public

    Inference with LLama-Code on Edge Device

    Python

  6. newsfeed newsfeed Public

    This is baseline implementation of Event Driven Architecture with Youtube, Redis and Docker

    Python

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