Summary
Overview
Work History
Education
Skills
Hobbies and Interests
Projects
Personal Information
Soft Skills
Accomplishments
Extracurricular Activities
Languages
Timeline
Generic

Kumar Mapanip Saheb Sahoo

Bengaluru

Summary

To leverage my skills, experience in a dynamic and challenging environment, fostering innovation and continuous improvement while contributing to the organization's growth and success.

Overview

4
4
years of professional experience

Work History

Software Development Engineer 2

Observe.AI
Bengaluru
12.2024 - Current
  • Developed a Snowflake stored procedure and scheduled task to transform array columns into map structures, leveraging Python dataframes for efficient data manipulation and schema conversion
  • Engineered a Golang microservice to automate the management of Hevo pipelines and Kafka connectors, significantly accelerating the migration process of Observe.AI customer accounts

Member Of Technical Staff 2

Nutanix
Bengaluru
05.2022 - 11.2024
  • As a member of the Compute Platform team, worked on creating high performance scalable inhouse applications using Go (Golang) and gRPC
  • Worked on features to enable developers to migrate to Kubernetes with ease, manage multiple lower environments, access management, credential management, container scheduling and deploying, alert management, service mesh / api gateway, managing long running workflows utilizing Kubernetes, Docker, Elastic Search, Filebeat, Kibana dashboard, Consul, AWS, S3, React, Vault, ArgoCD, Temporal, Postgresql
  • Worked on helm release module that provides an automated way to generate Helm charts so as to provide developers a seamless experience from onboarding to making release
  • Integrated open source libraries and made enhancements on top of it to provide support for generating Helm charts for Istio specific objects
  • Integrated Vault, AWS and inhouse tools to generate dynamic credentials for aws roles and postgres roles linked to Kubernetes secrets
  • Also implemented a service for rotation and renewal of the generated aws credentials that are stored in Vault to ensure security and compliance
  • Led the migration of RDS databases from AWS to on-premises infrastructure
  • Architected and deployed CloudNative PostgreSQL (CNPG) clusters to support the on-prem migration
  • Collaborated with cross-functional teams to plan and execute the migration strategy, enhancing system performance and reducing cloud dependency
  • Utilized automation tools and scripts to streamline the migration process, achieving a 30 percent reduction in migration time
  • Conducted thorough testing and validation of migrated databases to ensure seamless integration and functionality

Associate Software Development Engineer

Publicis Sapient
Bengaluru
06.2021 - 04.2022
  • Worked as a full stack developer building comprehensive website utilising Java, Spring Boot, Postgresql, MongoDB and React
  • Successfully deployed website on AWS, demonstrating proficiency in cloud computing technologies
  • Contributed to various testing initiatives, including integration testing, unit testing, and performance testing, ensuring high quality and reliability
  • Worked on building mobile app for same project using React Native

Education

B.Tech and M.tech - Dual Degree - Computer Science And Engineering

National Institute Of Technology
Rourkela
05-2021

Intermediate - Science

Prabhujee English Medium School
Bhubaneswar
01.2016

Matriculation -

St. Xavier's High School
Jajpur Road
01.2014

Skills

  • Go
  • Java
  • C
  • Kubernetes
  • Docker
  • AWS
  • Spring Boot
  • Kafka
  • ELK stack
  • Istio Service mesh
  • ArgoCD
  • Temporal
  • React
  • Postgresql
  • MongoDB
  • Perseverance
  • Snowflake
  • S3

Hobbies and Interests

  • Singing
  • Reading poems
  • Painting
  • Coding

Projects

Predicting Stock prices using Machine Learning, Pattern Effects Lab, 05/01/19 - 07/31/19: The project involved performing a Two-Class Classification on NIFTY Intraday Stocks data using Machine Learning techniques. Various models including Random Forest, XGBoost, and ANN were utilized. To enhance accuracy, an aggregated approach was employed, resulting in significantly improved results.

Software Fault Detection using Machine Learning, NIT Rourkela, 09/01/20 - 02/28/21: The principle objective of the analysis was to assess the capacities and strength of different machine learning and neural network based procedures in software fault prediction. Utilize predictive machine learning and neural network modelling procedures to classify software faults and identify them in an efficient way utilising SVM and ANN.

Personal Information

Date of Birth: 05/13/98

Soft Skills

Perseverance, Quickly establish rapport and build up trust

Accomplishments

  • Institute topper for the dual degree batch for the years 2016 and 2017

Extracurricular Activities

  • Competitive coding: Codechef - humble_sir, Hackerearth - kumarmapanipsaheb, Stopstalk - kumarmapanip1, Hackerrank - kumarmapanipsah
  • Cultural Club member
  • NSS volunteer

Languages

English
First Language

Timeline

Software Development Engineer 2

Observe.AI
12.2024 - Current

Member Of Technical Staff 2

Nutanix
05.2022 - 11.2024

Associate Software Development Engineer

Publicis Sapient
06.2021 - 04.2022

B.Tech and M.tech - Dual Degree - Computer Science And Engineering

National Institute Of Technology

Intermediate - Science

Prabhujee English Medium School

Matriculation -

St. Xavier's High School
Kumar Mapanip Saheb Sahoo