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.
Krisvarish User
@krisvarish
I build things that make machines smarter and life easier through AI and creative software engineering.
What I'm looking for
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
AI Research Intern
Samsung
Aug 2025 - Present (3 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.
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.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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