intel/AI-PC-Samples
Dec 2024 – Jun 2025
4 Months active
Languages Used
MarkdownPythonJupyter Notebook
Technical Skills
Amadeus APICustom ToolsGGUF ModelsGoogle Search APIIntel GPUIntel iGPU
Pendyala Sesha Srinivas
PROFILE
Pendyala Sesha Srinivas
Worked on the intel/AI-PC-Samples repository to deliver end-to-end AI solutions for travel and video understanding use cases. Developed an AI-powered travel assistant leveraging local LLMs, Langchain, and custom tools, optimized for Intel hardware using Python and SYCL, with a focus on reducing cloud dependency and improving user experience through Streamlit and Jupyter Notebooks. Enhanced the travel agent’s UX, prompt accuracy, and model compatibility, streamlining onboarding and prototyping. Built a video description and semantic search pipeline using Hugging Face Transformers, PyTorch XPU, and ChromaDB, enabling efficient video asset discovery and demonstrating strong integration of AI/ML and computer vision techniques.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
19,503
Activity Months4
Your Network
2122 peopleSame Organization
@intel.com2109
Work History
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered the Video Description Generation and Semantic Search Sample in intel/AI-PC-Samples. The feature processes videos to generate textual descriptions, stores embeddings in ChromaDB, and enables semantic search using Qwen 2.5 Vision-Language, with PyTorch XPU backend for Intel hardware acceleration. This work establishes an end-to-end pipeline for video understanding and asset discovery on Intel platforms.
1 Commits • 1 Features
Jun 1, 2025June 2025: Delivered the Video Description Generation and Semantic Search Sample in intel/AI-PC-Samples. The feature processes videos to generate textual descriptions, stores embeddings in ChromaDB, and enables semantic search using Qwen 2.5 Vision-Language, with PyTorch XPU backend for Intel hardware acceleration. This work establishes an end-to-end pipeline for video understanding and asset discovery on Intel platforms.
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for intel/AI-PC-Samples: Focused on delivering UI/UX refinements, enhanced explanations, and model loading compatibility for the AI Travel Agent sample. The changes improve usability, code clarity, and library compatibility, accelerating onboarding and prototyping for AI-assisted travel planning.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 monthly summary for intel/AI-PC-Samples: Focused on delivering UI/UX refinements, enhanced explanations, and model loading compatibility for the AI Travel Agent sample. The changes improve usability, code clarity, and library compatibility, accelerating onboarding and prototyping for AI-assisted travel planning.
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focusing on key accomplishments and business impact for intel/AI-PC-Samples. Delivered AI Travel Agent upgrades with UX enhancements, upgraded Llamacpp Python version, and refined prompts to improve flight searches and location queries in the Streamlit app and notebook. This work tightened the feedback loop between user intent and agent responses, enhancing overall UX, reliability, and maintainability.
1 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary focusing on key accomplishments and business impact for intel/AI-PC-Samples. Delivered AI Travel Agent upgrades with UX enhancements, upgraded Llamacpp Python version, and refined prompts to improve flight searches and location queries in the Streamlit app and notebook. This work tightened the feedback loop between user intent and agent responses, enhancing overall UX, reliability, and maintainability.
March 2025
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 Monthly Summary for intel/AI-PC-Samples focused on delivering an end-to-end AI-powered travel assistant leveraging local LLMs and custom tools, with strong hardware optimization and solid documentation.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 Monthly Summary for intel/AI-PC-Samples focused on delivering an end-to-end AI-powered travel assistant leveraging local LLMs and custom tools, with strong hardware optimization and solid documentation.
Activity
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Quality Metrics
Correctness86.0%
Maintainability84.0%
Architecture86.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
AI/MLAgent DevelopmentAmadeus APIComputer VisionCustom ToolsGGUF ModelsGoogle Search APIGoogle Serper APIHugging Face HubHugging Face TransformersIntel GPUIntel XPUIntel iGPUJupyter NotebookJupyter Notebooks
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