SARTHAK SRIVASTAVA

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Computer Engineering 2020 Graduate| Delhi Technological University | Backend Developer

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ABOUT ME

I am a Computer Engineering Graduate from Delhi Technological University with a passion to create something extra-ordinary and creative. I believe hard work, curiosity, and creativity are the only qualities one needs to excel at anything or any field, whether it's art, academics or of course, the field of computer science. Computers and Technology have always been fascinating to me since childhood and that is why I want to excel in this very competitive and incredible field. Below are some of the programming languages, frame works, tools and technologies that I am proficient in.




SKILLS

Now we are exploring the good stuff

Programming Languages and Tools


C++

Python

Git

SQL

Kotlin

HTML

CSS

Java

Frameworks and Concepts


Django

Airflow

Kafka

Django

Spring Boot

Data Structures

Algorithms

Amazon Web Services





WORK EXPERIENCE AND EDUCATION

Been there, done that

????


You can decide where I am going next

😜

2021

October - Present

Senior Software Engineer

Arcesium LLC

  • Working as a Backend Engineer with technologies like Spring Boot, AWS, Kuberenetes and Kafka.
  • Worked on writing complex and performant SQL queries to generate records out of gigabytes of data set every hour.
  • Collaborating with cross-functional teams to implement preventive measures and contributing to improved system stability.
  • Utilized monitoring tools such as Kibana, Grafana and Prometheus to proactively identify and address potential production issues.


2021

January - September

Software Engineer

Samsung Research Institute Delhi


Was part of Samsung Smart TV Cloud Group and worked as a backend developer. Worked with Platform Team and created backend applications and schedulers with Kafka, Airflow, Python and MySQL. Created production ready schedulers and batches for sending alarm notifications for different customer centric services.

2020

October - November

Software Development Engineer

CloudSEK Pvt. Ltd.

Implemented Backend Solutions using Python and Celery.


2020

July - September

Software Engineer Intern

NewzEra Tech Labs Pvt. Ltd.


Implemented Natural Language Processing (NLP) solutions and created classification models for analyzing textual data. Handled the development and deployment of Machine Learning services on Flask and Amazon Web Services(AWS).

June 2020

Bachelor Of Technology

Computer Engineering

Delhi Technological University, Delhi

Completed my B.Tech. and graduated from Delhi Technological University with a GPA of 8.34


2019

June - July

Software Developer Intern

Triginta Technologies Pvt. Ltd.


Was part of the backend development team and created REST API Views and Serializers using Django and Django Rest Framework for an online test taking platform "examtreasury.com".

2019

February

Machine Learning Intern

Truring Softek Pvt. Ltd.


Developed a Convolutional Neural Network architecture, implemented it using Tensorflow, Keras and OpenCV and created a model to recognize damaged roads. 99.7%.

2016

Bachelor Of Technology

Computer Engineering

Delhi Technological University, Delhi

Currently pursuing my B.Tech. at Delhi Technological University, one of India's renowned engineering college, with branch Computer Engineering.


Expected Graduation: June, 2020

2015-2016

Class 12th

Bal Bhavan Public School, Delhi

Scored 96% in class 12th CBSE board examinations and secured 3rd rank in school.

2013-2014

Class 10th

Bal Bhavan Public School

Scored 10 C.G.P.A. in class 10th examinations.





PROJECTS

Let's explore my magnificent collection.


THE BYTENET

ByteNet is a social networking site built with django and bootstrap. Things you can do on ByteNet:-

  1. Create Account
  2. Make friends by sending and accepting friend requests.
  3. Share what are you up to today with your friends
  4. Like and Dislike the posts on your feed
  5. Tag friends and be part of the conversation
  6. See what everyone is up to in your feed

View Project
ROAD-CRACKS DETECTION

A convolutional neural network built using keras to detect cracks on road with 97.5% accuracy. The repo contains a jupyter notebook file for proper understanding of the image dataset and model training. This repository has been given 14 stars and has been forked 9 times.


View Project

YOUTUBE AUTO VIDEO UPLOADER

This script let's you scrape r/WritingPrompts subreddit, then converts it into audio and add the audio to a video template and auto uploads on YouTube. My youtube channel is Code_With_Me_Bro.

Visit Channel<------> View Project

YOUTUBE COMMENTS SPAM DETECTION

A naive-bayes classifier which detects whether a comment on a YouTube video is a spam or not. The accuracy achieved n this model is 98%.

View Project

I am working on more such projects... Till then you can check out my github.

Github




CLICKED BY ME

View it all from my perspective.




STILL HERE?

You want to know more about me? Awesome...I am putting together a hobby section for my portfolio. Coming Soon!!