Chiraag Kakar

Software Engineer

India5 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Integrated 50 gaming titles, generating $5 million monthly transactions.
Achieved 94% test coverage for backend services.
Mentored open-source projects with significant contributions.

Stackforce AI infers this person is a Fullstack Software Engineer with experience in SaaS and Gaming industries.

Contact

chiraag.kakar@codapayments.com LinkedIn

Skills

Core Skills

Vue.jsNode.jsAwsTerraformFlutterFastapiGcpGoAlgorithmsData Structures

Other Skills

Amazon CognitoAmazon DynamodbAmazon Web Services (AWS)C++Elastic Stack (ELK)GetxGitlabGo (Programming Language)Low-Level DesignPython (Programming Language)QuasarREST APIsReact.jsServerless ComputingTypeScript

About

A curious mind with a passion for Problem Solving 😃

Experience

Coda

Software Engineer (FullStack)

Jun 2022 – Present · 3 yrs 9 mos · Singapore · Remote

Integral member of the Publisher Integration (PINT) team, facilitating the integration of new gaming titles through internal portals.
Successfully integrated 50 gaming titles using both standard and custom API specifications, resulting in $5 million monthly transactions.
Used AWS Cognito Identity Pool to develop granular User-Management feature to help designate Internal Portal features to the respective teams
Devised and implemented an API Test feature, enabling non-technical teams to assess publisher APIs autonomously, reducing development dependency by 50%.
Implemented API as a Service feature which makes all the PINT backend APIs resuable in a secured way and reduces dev effort by 70% per team.
Optimized client-facing API responsiveness in the xShop portal through DB Indexing and Read-Through/Write-Through Cache strategies, achieving a 10-fold latency reduction.
Orchestrated comprehensive testing for PINT and xShop backend services, securing an impressive 94% test coverage for PINT.
Pioneered the integration of SonarQube into CI pipelines, establishing a Quality Gate for TypeScript projects, automating code reviews, elevating code quality, and expanding test coverage.
Drove user experience enhancements across both PINT and xShop portals, elevating overall usability and satisfaction

QuasarVue.jsTypeScriptAmazon DynamodbNode.jsAmazon Web Services (AWS)+3

Hyperverge inc.

Software Develoment Engineer Intern (DevOps)

Jan 2022 – Jun 2022 · 5 mos · Bengaluru, Karnataka, India

Worked as a DevOps Intern, published terraform modules, configured & deployed CI runners on AWS, handled deployment to multiple ASGs
Worked on automation in the MasterDB team on a reconciliation project to migrate services from OnPrem to Cloud.

GitlabTypeScriptTerraformReact.jsNode.jsAmazon Web Services (AWS)+2

Sequoia capital

Software Consultant

Aug 2021 – Jan 2022 · 5 mos · Remote · Remote

Developed UI for the mobile/web applications using Flutter and used GetX for state management.
Wrote tests for Profile, Support services for Pathfinder API, Increased test coverage for some of the services.

FastAPIPython (Programming Language)FlutterGetx

Economize.cloud

Software Engineer Intern (FullStack)

May 2021 – Jul 2021 · 2 mos

Developed APIs using Golang and its Vue Components that interacts with Google Cloud SDK
Worked on listing Committed Use Discount (CUD) and VM Disks for GCP projects of our users to help them optimize their cloud expenses.
Gained practical exposure to Golang, Redis, Vue.js, and Google Cloud Platform

Vue.jsGo (Programming Language)GCPGo

Acecademy

Mentee

Mar 2021 – May 2021 · 2 mos · Remote

Participated in this 3 month live online Coding Bootcamp based on both Data Structures and Algorithms and System design.
Solved around 200+ algorithmic problems and gained exposure to solving HLD and LLD problems.

AlgorithmsC++Data StructuresLow-Level Design

Girlscript summer of code

Project Administrator

Feb 2021 – May 2021 · 3 mos · Remote

Hackerearth

Full Stack Problem Setter

Feb 2021 – May 2021 · 3 mos · Remote

Created full-stack problems of varying difficulties primarily in Django.
Wrote unit tests to check the functionality of the modules and whether the data is inserted correctly into the database.

Jgec winter of code

Lead Organiser & Program Manager

Jan 2021 – Feb 2021 · 1 mo · Remote

JGEC Winter of Code is an open-source program organized by Developers of JGEC that aims to help students plunge into Open Source contributions and get into the realm of Software Development.
The event witnessed over 600+ registered participants from all over India which included both mentees and mentors.
Also mentored one of my open-source projects "Share N Learn", nearly 50+ out of 138 PRs were merged and 70+ issues were closed in this event alone.

Centre of excellence in advance manufacturing technologies, iit kharagpur

2 roles

Software Engineer Intern

Nov 2020 – Jan 2021 · 2 mos · Kharagpur, West Bengal, India

Developed a standalone GUI application integrated with the CNN model to make the solution production-ready
Developed an interactive web application using Django, integrated with the CNN model

Research Intern

Dec 2019 – Oct 2020 · 10 mos · Kharagpur, West Bengal, India

Worked in a team on Process Optimization & Operational Intelligence of an advanced manufacturing process, Friction stir welding
Outlined the shortcomings of the existing digital twin model
Explored ways of validating the weld quality and identifying the type of defect present in the weld

Zaptay.com

Software Engineer Intern

Nov 2020 – Feb 2021 · 3 mos · Kolkata, West Bengal, India

Collaborated with a team of front-end and back-end developers to build an e-commerce portal for the firm
Assessed & troubleshoot the bugs implemented enhancements and set up the payment flow
Gained practical exposure to Django, Nginx, MongoDB and AWS EC2.

Maulana abul kalam azad university of technology, west bengal formerly wbut

Research Intern

Aug 2020 – Oct 2020 · 2 mos · Remote

Worked under the supervision of Dr. Soumen Kr Pati, on a book chapter titled "Data Analysis on Cancer Disease Using Machine Learning Techniques".
The contribution was accepted at Advanced Machine Learning Approaches in Cancer Prognosis 2020, Springer.
The chapter goes into quite an in-depth review of each of the proposed architectures which have been very precisely screened by us and also do quite a lot to develop a concrete sense of each one of these taxonomies by putting each of them under scanning through various evaluation metrics.
The chapter also issues several future scopes and recommendations from the perspective of the authors to ignite the thought of the ones interested in pushing this field into further sub-stratum.