I am a Computer Science undergraduate specializing in AI & Machine Learning, driven by curiosity and a strong desire to build technology that actually matters.
My interests lie at the intersection of AI systems, scalable web platforms, and decentralized technologies.

Rather than limiting myself to theory, I focus heavily on hands-on development, live projects, and hackathons where ideas are tested under real constraints.

What defines my approach:

• Constantly experimenting with AI, ML, Agentic AI, and modern full-stack tools
• Strong inclination towards product-focused engineering and user-centric design
• Actively exploring domains like mental wellness technology and intelligent systems
• Enjoy solving complex bugs and edge cases that most people avoid

B.Tech – Computer Science & Engineering (AI & ML)
July 2024 – Present

Academic highlights:

• Current CGPA: 8.8
• Core focus on AI-ML, Full-Stack Development, Web3, and Cybersecurity
• Strong balance between academic foundations and practical implementation

2012 – 2024

Academic performance:

• Class XII (CBSE): 89.6%
• Class X (CBSE): 96%
• Consistently strong performance in mathematics and science subjects

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Tech Stack: React, AI Concepts, VR-Based Simulations

An immersive digital platform designed to improve mental wellness through interactive environments and guided audio-visual therapy.

Focus & Impact:

• Designed real-time interactive user experiences
• Integrated cognitive training and relaxation workflows
• Built with scalability in mind for long-term wellness use cases

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Tech Stack: Computer Vision, NLP, Machine Learning

An AI-powered system that evaluates interview performance beyond resumes by analyzing behavioral and vocal signals.

Focus & Impact:

• Facial expression and engagement analysis
• Speech tone, confidence, and clarity evaluation
• Machine learning–based performance insights

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Tech Stack: Computer Vision, Machine Learning

A real-time safety system aimed at detecting driver fatigue, distraction, and cognitive overload to reduce accident risks.

Focus & Impact:

• Live visual cue analysis from camera feeds
• Cognitive state classification using ML models
• Alert-based intervention mechanism

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Tech Stack: Web3, Algorand Smart Contracts

A trustless escrow vault built on Algorand to ensure fair payments between freelancers and clients.

Focus & Impact:

• Time-locked smart contract fund vaults
• Automatic release on project completion
• Optional arbiter-based dispute resolution

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• First Runner-Up at ICYIM Hackathon
• Participated in multiple national-level hackathons including Craft & Code, Hexafalls, Central India Hackathon, and Smart India Hackathon
• Organizer of Smart Make-a-Thon, handling technical and coordination responsibilities
• Designed and developed websites for platforms like IEM Comicverse and SSO Olympiad Portal
• Contributed as a team member in a Drone Development Challenge
• Showcased five projects at the Smart Maker’s Festival
• Completed IDE Bootcamp, Ranchi with a performance rating of 3.9/5

• LinkedIn: https://www.linkedin.com/in/sylvia-barick-081651321/
• GitHub: https://github.com/sylvia-barick
• Portfolio: https://sylviaportfolio.vercel.app/
• Email: taniabarick15@gmail.com
• Twitter (X): https://x.com/5_barick