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Krish Goyal

CS Sophomore | DSA & Web Dev Enthusiast | C / C++ & Python

India

< 1 year of work experience

SmartInternz
Nov 20253 mosJan 2026

Remote

• Completed a structured virtual internship program focused on Generative AI and Google Cloud platforms. • Built hands-on understanding of multimodal AI systems, including document processing using Gemini multimodality and Multimodal RAG architectures. • Worked with Vector Search and embeddings to improve retrieval accuracy and context-awareness in AI applications. • Gained practical exposure to Large Language Models (LLMs), Transformer and BERT models, attention mechanisms, and encoder–decoder architectures. • Explored MLOps for Generative AI, model lifecycle concepts, and deployment workflows using Vertex AI Studio. • Studied and applied Responsible AI principles, including fairness, bias mitigation, interpretability, transparency, privacy, and safety. • Completed multiple Google Cloud hands-on labs and learning paths, reinforcing real-world, cloud-native AI development practices.

Education

VIT Bhopal University

Bachelor of Technology - BTech, Computer Science

VIT Bhopal University

20244 yrs2028

Intermediate, Science (Physics, Chemistry, Mathematics, Computer Science)

Saraf Public School

200915 yrs2024

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Headline

CS Sophomore | DSA & Web Dev Enthusiast | C / C++ & Python

About

💻 Second-year CSE student at VIT Bhopal with a strong interest in DSA, Machine Learning, and problem-solving approaches. Passionate about applying concepts to real-world solutions, I’ve worked on projects like a Sentiment Analysis Web App, Driver Drowsiness Detection, and a Stock Price Tracker & Predictor. Currently focused on building solid foundations in algorithms and ML models to grow into a skilled professional.

Location

India

Work experience

Virtual Intern – Generative AI & Cloud Technologies at SmartInternz, Nov 2025 - Jan 2026 · 3 mos, Remote, • Completed a structured virtual internship program focused on Generative AI and Google Cloud platforms. • Built hands-on understanding of multimodal AI systems, including document processing using Gemini multimodality and Multimodal RAG architectures. • Worked with Vector Search and embeddings to improve retrieval accuracy and context-awareness in AI applications. • Gained practical exposure to Large Language Models (LLMs), Transformer and BERT models, attention mechanisms, and encoder–decoder architectures. • Explored MLOps for Generative AI, model lifecycle concepts, and deployment workflows using Vertex AI Studio. • Studied and applied Responsible AI principles, including fairness, bias mitigation, interpretability, transparency, privacy, and safety. • Completed multiple Google Cloud hands-on labs and learning paths, reinforcing real-world, cloud-native AI development practices.

Education

Bachelor of Technology - BTech, Computer Science, VIT Bhopal University

Intermediate, Science (Physics, Chemistry, Mathematics, Computer Science), Saraf Public School

Public links

github: https://github.com/goyalk01