Pratik Kumar

Software Engineer

Bengaluru, Karnataka, India3 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Expert in Generative AI and scalable backend systems.
Proven track record in building secure and efficient workflows.
Recognized for impactful engineering solutions at scale.

Stackforce AI infers this person is a Backend Engineer specializing in Generative AI and scalable systems in the Travel Technology sector.

Contact

pratikkumar200024@gmail.com LinkedIn

Skills

Core Skills

Model Context Protocol (mcp)Python (programming Language)JavaAndroid DevelopmentMachine LearningArtificial Intelligence (ai)Network Security

Other Skills

KotlinMySQLC++C (Programming Language)AlgorithmsLow-Level DesignHigh-Level DesignCoding StandardsGitlibgdxVersion ControlCode ReviewData StructuresGraphic DesignWeb Development

About

Tech enthusiast and Backend Engineer with 3+ years of experience building scalable systems across mobile and backend domains. Currently working on Generative AI systems using MCP (Model Context Protocol), where I designed and developed a flight MCP server from scratch. This enables end-to-end user workflows—from flight search and itinerary creation to booking and add-ons. Also built a robust authorization layer to ensure secure, reliable interactions across the system. Previously worked on high-impact Android and backend solutions using Kotlin, Java, and SQL, delivering scalable features and improving system performance. Recognized for driving impactful engineering solutions and consistently delivering at scale. Passionate about Generative AI, distributed systems, and solving real-world problems.

Experience

3 yrs 10 mos

Total Experience

1 yr 11 mos

Average Tenure

0 mo

Current Experience

Google

Software Engineer 3

Jun 2026 – Present · 0 mo · Bangalore Urban · Hybrid

Cleartrip

Software developer 2

Dec 2025 – Jun 2026 · 6 mos · Bangalore · Hybrid

Built a production-grade MCP server powering end-to-end flight booking workflows (search → itinerary → add-ons → payment)
Designed system architecture and APIs to support scalable, tool-driven interactions for Agent AI systems
Developed and integrated MCP tools to enable seamless communication between AI agents and backend services
Implemented secure authorization layers, ensuring safe, reliable access across services
Contributed to building next-generation AI-powered travel experiences

Python (Programming Language)Model Context Protocol (MCP)