Raghav Bang

Software Engineer

Pune, Maharashtra, India5 yrs 9 mos experience

Most Likely To Switch

Key Highlights

Expert in modern JavaScript frameworks like React and Vue.
Strong background in data science and machine learning.
Passionate about teaching and community engagement in tech.

Stackforce AI infers this person is a Fullstack Developer specializing in SaaS and Fintech solutions.

Contact

raghav.bang@energyexemplar.com +916504275691 LinkedIn

Skills

Core Skills

Vue.jsNode.jsReact.js

Other Skills

ASP.NET CoreAWSAzureCC++CSSCypressData ScienceDeck.glDeep LearningGrafanaHTML5Internet of ThingsJavaScriptJest

About

❖Passionate Software Developer, with never-ending drive to improve my skills. ❖Worked on projects based on Reactjs, Vuejs, Angular, Machine Learning/Deep Learning/Data Science, etc. ❖Good knowledge of JavaScript. ❖Tech stack: HTML(5), CSS(3), JavaScript, Reactjs, Vuejs. ❖Teaching Webdev is my passion. ❖Believe in the ideology that everyone should have access to learn technology. ❖Do checkout: www.raghavbang.com/ ❖If you have any opportunity for me, please let me know!

Experience

Energy exemplar

Software Engineer

Oct 2023 – Present · 2 yrs 5 mos · Pune, Maharashtra, India · Hybrid

Technologies: Vue.js, React.js, TypeScript, Node.js, Jest, Cypress, Pinia, Vue Query, Azure, Grafana, Mapbox, Deck.gl
Built LLM-integrated analytics to convert user queries into SQL via Node.js services, enhancing data accessibility
and decision support.
Developed Node.js microservices and integrated Power BI dashboards to support advanced analytics and
reporting features.
Designed Solution Compare and modular map widgets using Mapbox/Deck.gl, enabling side-by-side spatial and
dataset analysis with a 98% performance boost.
Created Grafana dashboards with Azure Insights to monitor KPIs and reduce issue resolution time by 30%.
Implemented a contextual store architecture in Vue (inspired by React) to isolate environments across clients.
Migrated and modularised codebases for reusability, scalability, and better team collaboration.
Spearheaded Cypress automation and set up CI pipelines to streamline QA and deployment workflows.
Led scrum ceremonies, mentored interns, and contributed to onboarding 20+ enterprise clients through impactful feature delivery.

Vue.jsReact.jsTypeScriptNode.jsJestCypress+5

Factset

Software Engineer - II

May 2022 – Sep 2023 · 1 yr 4 mos · Hyderabad, Telangana, India

Team: OMS and Compliance Engineering
Technologies: Vue.js, React.js, TypeScript, Node.js, Pinia, Jest, Cypress
Migrated legacy Vuex state to Pinia, improving performance and maintainability across modules.
Built Node.js backend services for compliance workflows, rule evaluation.
Developed integrations with PMP and PA tools to enable reporting automation and streamlined operations.
Delivered responsive, high-performance UI components for compliance tracking, filtering, and workflow management.
Increased unit test coverage to 92% using Jest and implemented Cypress E2E tests to improve release quality.

Vue.jsReact.jsTypeScriptNode.jsPiniaJest+1

Ust

2 roles

Associate Software Engineer

Jan 2022 – Apr 2022 · 3 mos

Full Stack Developer
Tech Stack:
React.js
JavaScript
ASP.NET Core
SQL Server
AWS

React.jsJavaScriptASP.NET CoreSQL ServerAWS

Trainee Engineer

Jul 2021 – Dec 2021 · 5 mos

React.js

Varidus

Analyst, Data Science

Sep 2020 – Jan 2021 · 4 mos

Data collection of Family offices, start-up’s and working with VC team.
Data Visualization using Matplotlib, Power BI

Microsoft

3 roles

Microsoft Learn Student Ambassador Beta Level

Mar 2020 – Jul 2021 · 1 yr 4 mos

Student Partner is global group of on campus ambassador who are eager to help fellow students, grow local tech community and develop technical skills.

Microsoft Student Partner Alpha 2

Feb 2020 – Mar 2020 · 1 mo

Microsoft Student Partner Alpha 1

Jan 2020 – Feb 2020 · 1 mo

Defence research and development organisation (drdo)

Summer Intern

Jan 2020 – Jun 2020 · 5 mos · Pune

Project based on Computer Vision, OCR and Database Management.
Used YoloV3, OpenCV , One-shot learning and pretrained model FaceNet.

Vamrr technologies

Developer Intern - ML, CV & IoT Solutions

Sep 2019 – Dec 2019 · 3 mos · Pune

Data Visualization and Analysis of Indices.
Developed Computer Vision Model to analyze audience engagement in Seminar/Workshop using YoloV3 and Haar Cascade pretrained model. Store all the data and generate report using statistic and Visualization.