Recent CS grad building AI systems from the ground up. Built a multi-agent system that optimizes CUDA kernels using real NVIDIA Nsight Compute profiling data fed into LLM prompts (1.08x–1.31x speedup on KernelBench Level 1, 0% compile failure). Also built an autonomous AI agent platform (Repliq) that converts screen recordings with voice into executable workflows using ReAct loops, tool-calling, and zero-trust sandboxed execution, shipped it to salesforce employee for automating redundant task in salesforce. Looking for AI/ML engineering roles — happy to talk about either project in depth.
Hi! I'm Shrey Sharma, a pre-final year undergraduate student with a strong focus on AI/ML and systems engineering. I'm very interested in exploring an internship opportunity at Waymo.
I've worked on projects involving model fine-tuning, RAG agents, and AI deployment on platforms like Hugging Face, and I’m currently diving deeper into systems-level programming and multi object tracker for autonomous vehicles.
I’d love to know if there are any internship roles that align with my background, and I’d really appreciate if you could help route me to the right person or team.
Location: Shrey Sharma
Remote: Yes
Willing to relocate: Yes
Technologies: Python, C++, java, Tensorflow, Pytorch, SQL, VectorDatabases, Django, ML/DL, LangChain, LLMs, HuggingFace, AWS, RAG, Docker, FastAPI, Git/GitHub, Linux
Resume: https://drive.google.com/file/d/1qUxHkYu8dx866aGJy4-GLejJui7...
Email: [email protected]
Hi! I'm Shrey Sharma, a pre-final year undergraduate student with a strong focus on AI and Machine Learning.
I've worked on projects that involve building ML models from scratch and deploying them on Hugging Face Spaces. My expertise lies in creating AI-powered applications, whether it's fine-tuning large language models or building RAG agents.
I approach every project with a user-first mindset, following industry best practices to ensure scalability, performance, and usability.
Willing to relocate: Yes (US, Europe)
Technologies: Python, PyTorch, FastAPI, Docker, LLM agents (ReAct, MCP tool-calling, A2A protocol), RAG, async/await, PostgreSQL, AWS (SageMaker, Lambda, Step Functions, DynamoDB), speect-to-text, DeepLearning, QLora, Peft, sklearn
Résumé/CV: https://docs.google.com/document/d/153Tu_DBgt-OGOw1i607_Yj40...
Email: [email protected]
Recent CS grad building AI systems from the ground up. Built a multi-agent system that optimizes CUDA kernels using real NVIDIA Nsight Compute profiling data fed into LLM prompts (1.08x–1.31x speedup on KernelBench Level 1, 0% compile failure). Also built an autonomous AI agent platform (Repliq) that converts screen recordings with voice into executable workflows using ReAct loops, tool-calling, and zero-trust sandboxed execution, shipped it to salesforce employee for automating redundant task in salesforce. Looking for AI/ML engineering roles — happy to talk about either project in depth.