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Karan Jain

AI Engineer with 3+ years of experience building production-grade LLM-powered applications, agentic pipelines, and multimodal AI systems. Skilled in prompt engineering, LLM orchestration, and GCP deployment. Award-winning developer recognized for delivering high-impact features within the Samsung ecosystem. Actively deepening expertise in AI agents and Google ADK.

  • Role

    Forward Deploy AI Engineer (Software Developer)

  • Years of Experience

    3.1 years

Skillsets

  • JavaScript
  • Smartthings sdk
  • Chirp2
  • Response chaining
  • Resumable uploads
  • PyTorch
  • Python
  • Prompt Engineering
  • Perforce
  • Orchestration
  • multimodal AI
  • Load balancer
  • LLM integration
  • Kotlin
  • Jira
  • Jetpack Compose
  • Agentic Workflows
  • HTML
  • GPT-4o
  • Google Cloud Storage
  • Google adk
  • Github
  • Gemini 2.0
  • Gcp cloud run
  • Docker
  • Dall-e 3
  • CSS
  • Confluence
  • C++
  • C#
  • Ai agent design

Professional Summary

3.1Years
  • Jul, 2022 - Present4 yr 2 months

    AI Engineer (Software Developer)

    Samsung Research Institute

Applications & Tools Known

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    Javascript

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    PyTorch

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    Python

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    Kotlin

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    Jira

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    HTML/CSS

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    GitHub

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    Docker

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    Confluence

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    C++

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    C#

Work History

3.1Years

AI Engineer (Software Developer)

Samsung Research Institute
Jul, 2022 - Present4 yr 2 months
    Architected an end-to-end AI assistant enabling live transcription, automated lesson summarization, and AI-powered search deployed across Samsung's commercial whiteboard lineup. Designed a multi-step LLM orchestration pipeline integrating Chirp2 for real-time speech-to-text and Gemini 2.0 for context-aware summarization. Built a resumable audio upload system to GCS with server-side streaming transcription, ensuring zero data loss during 60+ minute classroom recordings. Shipped core enterprise features including Selection Tools and File Management; resolved 50+ critical defects and led legacy app migrations for Flip 4. Engineered an automated testing framework using Arduino to record/replay interaction scenarios, significantly reducing manual QA regression time.

Major Projects

1Projects

AI Circle2Search Hackathon 2024

Jan, 2024 - Jan, 2024
    Built an agentic multimodal search feature allowing users to circle screen regions to trigger AI-generated images, descriptions, and translations via a multi-stage LLM agent pipeline. Leveraged response chaining and ROI classification to iteratively refine agent outputs.

Education

  • Bachelor of Technology in Electronics and Computer Science Engineering

    Thapar Institute of Engineering and Technology (2022)