Shibani Hegde profile photo 1 on Tal

Shibani Hegde

Senior Frontend Engineer | Vue.js · React · D3.js | Building UI for AI-Powered Products

Greater Bengaluru Area

9+ years of work experience

Akridata
May 20215 yrs 4 mosPresent

Bengaluru, Karnataka, India

Built the frontend for Vision Copilot, an enterprise AI platform enabling data scientists to train computer vision models for defect detection in manufacturing, automotive, and medical imaging applications. - Delivered 15+ production features including Similarity Search, Anomaly Segmentation, and Auto Labelling—making key architectural decisions on state management (Vuex), API integration patterns, and component reusability - Optimized dataset load performance by 60% (30s → 12s) for workflows handling 100K+ images through advanced rendering. Designed scalable architecture supporting datasets up to 500K+ images - Developed custom D3.js visualizations (confusion matrices, similarity graphs, annotation heatmaps) enabling data scientists to identify model performance issues 3x faster - Conducted code reviews, mentored engineers on Vue.js best practices, and participated in technical hiring Tech stack: Vue.js, D3.js, JavaScript/TypeScript, Vuex, REST APIs, Vite
PES University
Jan 20263 mosMar 2026

Bengaluru, Karnataka, India

Teaching Design and Analysis of Algorithms to undergraduate Computer Science students at PES University.
Cisco
Jul 20191 yr 10 mosApr 2021

Bengaluru, Karnataka, India

Developed complete UI for e-commerce tool to track test order status using Angular, HTML5, CSS3. - Delivered responsive, cross-browser compatible website with improved page load performance - Built UI for Mindmeld-based chatbot creation and training tool (Botlite) - Performed unit testing using Karma and Jasmine, improving code coverage by 24% - Reduced technical debt by 35% through bug fixes, code smell elimination, and vulnerability patches Tech stack: Angular, HTML5, CSS3, JavaScript, Karma, Jasmine
Center for Cloud Computing and Big Data, PES University
May 20171 yr 9 mosJan 2019

Bangalore

Worked on an Intel Sponsored Project to accelerate Apache Spark Application using Intel XEON + FPGA hardware.
Jan 20161 yr 1 moJan 2017

Shibani’s AI Stack

claude code
claude code

Education

PES University

Bachelor of Technology, Computer Science

PES University

20154 yrs2019

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Headline

Senior Frontend Engineer | Vue.js · React · D3.js | Building UI for AI-Powered Products

About

Hey! I'm Shibani, a front-end developer who loves turning ideas into clean and intuitive interfaces. I spent the last 4.5 years at Akridata building Vision Copilot—an AI platform for computer vision development. I have worked on building multiple components, UI modules and dashboards from the ground up, covering workflows from ML model training to data labelling and analysis. Before Akridata, I was at Cisco building UIs for an e-commerce tracking tool and Botlite, a low/no-code chatbot platform. What excites me most? Taking sophisticated technology and making it feel effortless. Whether it's crafting Vue components, creating SVG visualisations, or designing data-heavy dashboards, I'm happiest when solving problems. Currently exploring new opportunities to build impactful products with talented teams. Let's connect! 📍 Based in Bengaluru

Location

Greater Bengaluru Area

AI stack

claude code

Work experience

Member of Technical Staff 3 at Akridata, May 2021 - Present · 5 yrs 4 mos, Bengaluru, Karnataka, India, Built the frontend for Vision Copilot, an enterprise AI platform enabling data scientists to train computer vision models for defect detection in manufacturing, automotive, and medical imaging applications. - Delivered 15+ production features including Similarity Search, Anomaly Segmentation, and Auto Labelling—making key architectural decisions on state management (Vuex), API integration patterns, and component reusability - Optimized dataset load performance by 60% (30s → 12s) for workflows handling 100K+ images through advanced rendering. Designed scalable architecture supporting datasets up to 500K+ images - Developed custom D3.js visualizations (confusion matrices, similarity graphs, annotation heatmaps) enabling data scientists to identify model performance issues 3x faster - Conducted code reviews, mentored engineers on Vue.js best practices, and participated in technical hiring Tech stack: Vue.js, D3.js, JavaScript/TypeScript, Vuex, REST APIs, Vite

Part-Time Faculty - Design and Analysis of Algorithms at PES University, Jan 2026 - Mar 2026 · 3 mos, Bengaluru, Karnataka, India, Teaching Design and Analysis of Algorithms to undergraduate Computer Science students at PES University.

Frontend Web Developer ( UI Engineer) at Cisco, Jul 2019 - Apr 2021 · 1 yr 10 mos, Bengaluru, Karnataka, India, Developed complete UI for e-commerce tool to track test order status using Angular, HTML5, CSS3. - Delivered responsive, cross-browser compatible website with improved page load performance - Built UI for Mindmeld-based chatbot creation and training tool (Botlite) - Performed unit testing using Karma and Jasmine, improving code coverage by 24% - Reduced technical debt by 35% through bug fixes, code smell elimination, and vulnerability patches Tech stack: Angular, HTML5, CSS3, JavaScript, Karma, Jasmine

Research Intern at Center for Cloud Computing and Big Data, PES University, May 2017 - Jan 2019 · 1 yr 9 mos, Bangalore, Worked on an Intel Sponsored Project to accelerate Apache Spark Application using Intel XEON + FPGA hardware.

Joint Secretary at IET PES CHAPTER, Jan 2016 - Jan 2017 · 1 yr 1 mo

Education

Bachelor of Technology, Computer Science, PES University