Sahil Jajodia

Sahil Jajodia

Followers of Sahil Jajodia2000 followers
location of Sahil JajodiaMumbai, Maharashtra, India

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  • Timeline

  • About me

    SDE-2 at Amazon

  • Education

    • SVKM's Dwarkadas J. Sanghvi College of Engineering

      2016 - 2020
      B.E. Computer Engineering 9.26
    • Shri Dawale college of Science and Arts

      2014 - 2016
      HSC Science 86.60 %
    • Holy Cross Convent High School

      2001 - 2014
      SSC Secondary 89.80 %
  • Experience

    • Dj Unicode

      Oct 2017 - Jul 2020

      ➢ Mentored my juniors for a canteen management project.➢ The project is meant to digitalize the canteen management system of the college so that the students and teachers can order food just at the tip of their fingers. ➢ Developed a REST API using Django Framework (Python) for an android app which helps with the process of term work submission in college.➢ It has features such as a virtual queue for submissions, finding a teacher, subscribe to a teacher to get notified during submissions, etc.➢ It helped to make the term work submission process very efficient and smooth for the students as well as the teachers.

      • Backend Mentor

        Sept 2018 - Jul 2020
      • Django REST Developer

        Oct 2017 - Sept 2018
    • ACM, Association for Computing Machinery

      Oct 2017 - Sept 2018
      Co-Infotech Head

      ➢ Worked on the DJ ACM website and also discussed/helped in organising DJ ACM events in college.

    • Falkonry

      Jun 2018 - Oct 2018
      Software Development Intern

      ➢ Developed Falkonry Laggar to automate the monitoring and debugging of Falkonry's customer environments. It has reduced the customer service time from several hours to 10 minutes.➢ Developed example Falkonry SDK CLI applications in Python & Java for the customers to refer to. All examples were designed to support multithreading and utilizing maximum resources.➢ Worked with Node js, Docker, Kubernetes, Python, SSH, ELK stack, AWS Lambda, AWS Kinesis.

    • VoyaGenius Labs

      Oct 2018 - May 2019
      Machine Learning Intern

      ➢ Extracted text from restaurant bills using Tessaract. There can be multiple use cases - Users can use to track their eating and spending habits in restaurants OR restaurants can use it to log bills and store in a CSV file.➢ Wrote python script to process CCTV footage and create heatmaps of retail stores based on the density of people. This was done using Deep Learning model (YOLO for object detection) and OpenCV. This helped shopkeepers to know which part of their store is least accessed so that they can identify the issue.➢ Worked with Tensorflow, Pandas, Numpy, Tessaract, OpenCV, Deep Learning models. Show less

    • CERN

      May 2019 - Sept 2019
      Google Summer of Code 2019 Student Developer

      ➢ Developed a Jupyter Notebook extension called as K8sSelection. It will be used at CERN’s data analysis platform called SWAN to support user-managed kubernetes clusters for data analysis using Apache Spark.➢ The users can create their own cluster and use it OR switch between multiple available clusters at any time.➢ This ensured efficient use of resources allowing users to use their own clusters.➢ This also provided protection against failure of SWAN managed clusters.➢ Worked with Python, JQuery, Jupyter Notebook API, Docker, Kubernetes, Apache Spark, etc.➢ For more information on the project, please visit this github page - https://github.com/sahiljajodia01/k8s-selection Show less

    • JPMorganChase

      Aug 2020 - Jun 2021
      Software Engineer

      ➢ Worked on a brand new project developing backend REST APIs using Spring Boot framework.➢ I was end to end owning a particular part of the project right from requirements gathering to development/deployment and documentation. I worked on 4 critical APIs of the project. Tried to automate stuff whenever required.➢ Worked on developing mock request/response of third party APIs using Wiremock framework in Java.➢ Worked on implementing the Blue Green (zero downtime) deployment strategy and integrated it with the CI/CD pipeline. This ensured that deployment would result in almost zero downtime with also the option to rollback deployment in case of issue/error.➢ Worked on the performance testing strategy, developing JMeter scripts to simulate parallel load of users to test the Response Time & Hits/sec for the APIs.➢ Worked with Spring Boot, Python, Cloud Foundary, Jenkins, JMeter, Blazemeter, Oracle, Wiremock framework. Show less

    • Amazon

      Jun 2021 - now
      • Software Development Engineer 2

        Oct 2022 - now
      • Software Development Engineer

        Jun 2021 - Oct 2022
  • Licenses & Certifications