
ProQuantum™
High sensitivity immunoassay platform for protein quantification and scientific analytics.
Tech Stack
Impact Highlights
users
team
performance
availability
Senior Frontend Engineer
Frontend engineer specializing in Angular, React, enterprise applications, and AI-powered web experiences.
9+
Years Experience
14+
Projects Delivered
9+
Core Technologies
100%
Enterprise Focus
I build scalable Angular and React applications, enterprise dashboards, reusable design systems, and AI-enhanced product experiences with a strong focus on maintainability, performance, and clean UX.
Frontend engineer specializing in Angular, React, enterprise applications, and AI-powered web experiences.
Experience
9+ Years
Location
Bengaluru, India
Education
Bachelor of Technology · Biju Patnaik University of Technology (BPUT)
kishore.mallick@outlook.com
Thermo Fisher Scientific
Open to senior frontend, AI product, and consulting opportunities
Companies
Domains
Technologies
Leadership Roles
AI Exposure
Cloud Exposure
Enterprise Focus
Technologies I use to build enterprise-grade web applications, analytics dashboards, and modern AI-ready frontend experiences.
Frontend
Frontend
Frontend
Language
Language
Backend
Visualization
AI
DevOps
DevOps
A selection of healthcare, analytics, networking, and AI-driven projects built across enterprise environments using Angular, React, TypeScript, Firebase, and modern frontend architecture.

High sensitivity immunoassay platform for protein quantification and scientific analytics.
Tech Stack
Impact Highlights
users
team
performance
availability

Healthcare Analytics
High sensitivity immunoassay platform for protein quantification and scientific analytics.

Healthcare Analytics
Enterprise platform for differential gene expression analysis and visualization.

Scientific Analytics
Multiplex immunoassay analysis platform for scientific research.

Cloud Networking
Cloud monitoring dashboard for networking infrastructure.

Telecom
Enterprise telecom operations portal for workflow execution and administration.

Cloud
Validation portal for Virtual Network Functions.

Enterprise Analytics
Analytics platform for enterprise customer insights and service recommendations.

Cloud Networking
Real-time monitoring and configuration dashboard for EPC core services.

Cloud / NFV
Portal for onboarding and managing virtual network functions.

AdTech
Query engine and analytics platform for campaign targeting and data operations.

Cloud Platform
Swagger-based cloud API portal for Huawei Cloud Edge services.

Construction Collaboration
Collaborative portal for construction project administration and document workflows.
I use AI as an engineering accelerator for code review, component scaffolding, documentation, debugging, and delivery planning — especially across enterprise Angular/React applications and admin dashboard workflows.
Used for architecture brainstorming, frontend problem-solving, documentation support, recruiter-facing summaries, and faster technical communication.
Applied as an engineering accelerator for refactoring, implementation support, code review assistance, and issue resolution across UI-heavy applications.
Used inside the development workflow for faster component scaffolding, utility generation, repetitive TypeScript work, and productivity gains.
Focused on turning repeated engineering tasks into reusable generation patterns for admin panels, forms, dashboards, and service layers.
I treat AI as part of a structured engineering workflow — not a one-off tool. That means organizing reusable knowledge around features, specs, UI patterns, architecture decisions, and enterprise domain context so implementation becomes faster, clearer, and more consistent.
Maintain structured implementation knowledge around features, UI patterns, domain modules, and reusable engineering decisions.
Convert feature requests and business requirements into clear component plans, implementation notes, and delivery-ready engineering tasks.
Use AI to validate edge cases, improve naming and structure, review UI logic, and surface implementation gaps earlier in the cycle.
Use project context, architecture constraints, and existing code structure to get more useful AI suggestions instead of generic output.
The goal is not just faster output — it’s better engineering throughput with stronger documentation, cleaner implementation paths, and more consistent product delivery.
Practical AI usage: ChatGPT for reasoning and technical communication, Copilot for coding acceleration, AI-assisted code review for implementation quality, and structured spec/knowledge workflows for repeatable delivery across enterprise projects.
This assistant can answer questions about frontend experience, enterprise projects, architecture choices, and technical strengths — and can also return lightweight charts for skill summaries.
Hi — I’m Kishore’s AI recruiter assistant. Ask me about frontend experience, Angular/React expertise, enterprise projects, architecture decisions, or technical skills.
Available for senior frontend roles, product engineering, AI-enabled interfaces, and consulting work across Angular, React, and TypeScript applications.