Anant Kaushik

Software Engineer

Delhi, India6 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • Expert in building AI-powered applications.
  • Proven track record in optimizing API performance.
  • Strong leadership in software development teams.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS applications.

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Skills

Core Skills

PythonAiApi ManagementDjangoMicroservicesMachine Learning

Other Skills

CodeSearchAPI OptimizationTraffic AnalysisPython3FlaskApache-AirflowRedisDockerRasaHome AutomationData StructuresRoboticsAlgorithmsProgrammingObject-Oriented Programming (OOP)

Experience

6 yrs 10 mos
Total Experience
2 yrs 3 mos
Average Tenure
4 yrs 2 mos
Current Experience

Google

Software Engineer

Apr 2022Present · 4 yrs 2 mos · Bengaluru, Karnataka, India

  • Building AI-powered CodeSearch - Redefining how developers search & explore code
PythonAICodeSearch

Helpshift

Software Engineer

Jul 2021Mar 2022 · 8 mos · Pune, Maharashtra, India

  • Researched the sudden spike of bot/crawler traffic for FAQ pages and optimized the system to handle it.
  • Fixed the API throwing 1000s of 500 HTTP errors per week.
API OptimizationTraffic AnalysisAPI Management

Quovantis technologies

Software Engineer

Jul 2019Jul 2021 · 2 yrs · Noida Area, India

  • Project: ​Mpulse
  • Leading Airflow Dev Team.
  • Reduced time to create ​JIRA​ deployments tickets by ​15x​ by building a ​Django ​application.
  • Increased productivity by ​20x ​and removed code duplicacy​ ​ by creating templates for DAGs.
  • Responsible for fixing the existing bugs and building new features in the system.
  • R​esponsible for fixing the existing vulnerabilities and code smells.
  • ​Utilized​: ​Python3, Flask, Django, Apache-Airflow, Redis.
  • Project: ​Phritz
  • Built a ​microservice to integrate different channels(Slack, Twilio and WebApp) with the chatbot using ​Strategy Design Pattern​.
  • Did the POC of building chatbot using the ​RASA​ framework.
  • Responsible for the design and development of fast and scalable ​REST-based APIs​.
  • Built components of the ​state machine​ using the ​Chain of Responsibility​ ​Design Pattern​. ​Utilized​: ​Python3, Flask, Django, Docker, Rasa, Redis.
Python3FlaskDjangoApache-AirflowRedisPython

Sigmaway llc

Intern

Jun 2018Aug 2018 · 2 mos · New Delhi Area, India

  • Developed Machine Learning Prediction module using Machine Learning Regression Algorithms on Django and integrated it into their Web App. The main aim of this module was to give the user the ability to build their own model for the data set without having any knowledge of the Machine Learning and its algorithms. Other sub-users can get the predicted values using that module.
  • Developed Home Automation Prototype using Omega. In this, users can control their appliances from any part of the world. Users can switch On or switch Off the appliance from any part of the world or can set timer to switch On/Off the appliance. This prototype was built using Omega2, Relays and Losant.
Machine LearningDjangoHome Automation

Education

Institute of innovation in technology and management

BCA - Bachelor of Computer Application — Computer Science

Jan 2016Jan 2019

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