YASHASWI S S
@yashaswiss
Computer Science student building scalable full-stack and AI-driven web applications.
What I'm looking for
I am a Computer Science & Engineering student with strong fundamentals and practical experience building full-stack web applications and AI systems. I focus on reliable, scalable software while continuously learning through hands-on projects.
I've developed production-style projects such as a real-time marketplace with Socket.io, an AI-driven voice mock-interview assistant, and an AI genotype predictor that achieved 92.8% accuracy. I take ownership of end-to-end development from frontend interfaces to backend services and databases.
In team settings I lead creative and technical initiatives, having coordinated activities for 300+ students and earned awards for collaboration and project innovation. I have also been selected for competitive bootcamps and AI skill programs that deepened my practical knowledge of Agile development, ML, and generative AI.
My technical toolkit includes modern JavaScript frameworks, Node.js backends, relational and NoSQL databases, and applied machine learning techniques. I seek roles where I can apply full-stack and ML skills to build impactful products while growing in software engineering best practices.
Experience
Work history, roles, and key accomplishments
Software Engineering Intern
Independent Projects
Built full-stack web applications including a scalable local marketplace, AI-driven mock interview assistant, and an AI genotype prediction system; improved marketplace load times by ~25% and achieved 92.8% model accuracy for genotype prediction.
Education
Degrees, certifications, and relevant coursework
National Institute of Engineering
Bachelor of Engineering, Computer Science & Engineering
2022 -
Grade: 9.49/10
Activities and societies: IEEE Student Branch (Creativity Lead), Product Development Bootcamp (Fluxon Academy), Smart India Hackathon internal qualifier, IVIS LABS AI Skill Development Program.
Pursuing a Bachelor of Engineering in Computer Science & Engineering with strong academic performance (CGPA 9.49/10) and hands-on experience building full-stack and AI projects.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
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