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Krisvarish User

@krisvarish

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I build things that make machines smarter and life easier through AI and creative software engineering.

India

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What I'm looking for

I’m looking for a role where I can work on real-world AI and software challenges, learn from smart and passionate people, and build products that have impact. I love environments where ideas move fast, creativity is valued, and I get to contribute across different parts of a project.

I am an AI developer and engineering student focused on building production-ready computer vision and machine learning systems that solve real-world problems. I have engineered edge AI solutions and multimodal models—delivering high accuracy (90%+ on several projects) and low-latency inference for applications from traffic management to accessibility tools.

My experience includes research internships and hands-on project work deploying models on embedded devices (Raspberry Pi, Arduino) and optimizing architectures for resource-constrained environments. I collaborate across teams on data pipelines and deployment, publish research on resource-efficient transformers, and mentor peers while contributing to community tech initiatives.

Experience

Work history, roles, and key accomplishments

Current

AI Research Intern

Current

Samsung

Aug 2025 - Present (10 months)

Developed context-aware recommendation engines and multi-modal ML models for smart home automation, achieving 88%+ prediction accuracy and sub-200ms edge inference latency. Collaborated on data pipeline design processing 50K+ daily user interactions.

TensorFlow PyTorch Edge Recommendation Systems Python IoT Data Pipelines

Education

Degrees, certifications, and relevant coursework

Vellore Institute of Technology, Chennai

Bachelor of Technology, Electronics and Computer Engineering

2023 - 2027

Grade: 8.36/10

Activities and societies: Senior Team Member, Programming Department at Team Namo Nirvana; Technical Department Member at ViTeach NGO.

Pursuing Bachelor of Technology in Electronics and Computer Engineering with coursework in Deep Learning, Computer Vision, Data Structures, IoT, and Embedded Systems; achieved CGPA 8.36/10.