Hi, I amSiddarth BulusuSenior Software Engineer @ Quantrion LLC.A MERN stack developer based in Hyderabad, India, focused on developing scalable systems. I have a serious passion for distributed systems and web development to develop highly scalable and user-intuitive applications. In my current job, I am working on Maestro, which is a no-code hyper-automation based process orchestration SaaS tool.Well organized, problem-solver and a quick learner with attention to detail and quality. Fan of cricket and love writing blogs about tech.Interested in the entire web development spectrum and working on ambitious projects.
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My Skills
Proficient
Node.js

Node.js

JavaScript

JavaScript

Python

Python

MS SQL Server

MS SQL Server

Postgres

Postgres

HTML

HTML

CSS

CSS

Agile

Agile

Data Structures & Algorithms

Data Structures & Algorithms

Git

Git

Also Worked With
TypeScript

TypeScript

React

React

Kafka

Kafka

MongoDB

MongoDB

Machine Learning

Machine Learning

Learning
Systems Design

Systems Design

Docker

Docker

Amazon Web Services

Amazon Web Services

Education And Work Experience
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Quantrion LLC.

As a senior software engineer I am responsible for feature implementation and hiring developers. Currently working on scaling Maestro as a SaaS product.

Key for highlights of my work:

  • Migrated the MS SQL Server code and data model into CitusDB
  • Refactoring the code to support multi-tenancy.
  • Splitting the Monlith code base into micro-services.
  • Optimizing for performance and better resource utilisation.
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Digital TaaS

As a senior software engineer I am responsible for feature implementation, development process, hiring developers and mentoring. Designed and developed backend micro-services for the below projects:

  • Lead5
  • Recommendation Engine
  • Obsolescence Dashboard
  • MDP Customer Engagement Portal


Key highlights of my work from each project:

  • Rebuilt the existing Lead5 legacy app using NestJs and MongoDB, used Kafka messaging to keep the new app in sync (real-time) with the legacy admin app, also designed and developed the APIs for the new app.
  • Analysed the data and built a Recommendation Engine using Locality Sensitive Hashing(LSH) which used more than a decade of sales data, combined with a statistical model, to recommend parts for some of the most complex machines in existence today.
  • Integrated the data residing on SQL and Hadoop into the Obsolescence application database using SSIS, enabling the client to have complete visibility over the parts and take measures to mitigate risk.
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Kalasalingam Academy of Research and Education

Completed my Bachelors(Hons.) in Electrical and Electronics Engineering with a GPA of 8.52.

Attended courses related to:

  • Power Systems
  • Electrical Machines
  • Circuit Design
  • Soft Computing
  • Power Electronics
  • Internet Of Things


Projects:

  • Simulation and performance analysis of solar PV system with ANN based MPPT
  • Microcontroller based protection relay for agricultural motor
  • DC Dynamic braking for a three phase induction motor