Vidyankshini Vibhute
Engineering high-impact solutions across Full Stack Development, Cybersecurity, and AI-powered platforms.
About Me
I am a motivated and detail-oriented B.Tech Information Technology student at the AISSMS Institute of Information Technology, Pune. I focus on engineering, orchestrating, and delivering high-impact projects that leverage full-stack logic, robust cybersecurity standards, and machine learning models.
I am recognized for leading student technical chapters, volunteering in open-source ecosystems, and pioneering accessibility-first engineering in competitive, fast-paced hackathons. I thrive on bringing complex projects to life, from initial architecture to final DevSecOps integration.
Education
B.Tech — Information Technology
AISSMS Institute of Information Technology, Pune
Focused on Full Stack Development, Cybersecurity, AI/ML systems, and DevSecOps. Actively leading student technical chapters and competing in national-level hackathons.
Higher Secondary Certificate (12th Grade)
Savitribai Phule Pune University (SPPU)
Specialized in Science (PCM + Computer Science). Built a strong foundation in mathematics, logic, and programming fundamentals.
Secondary School Certificate (10th Grade)
Kendriya Vidyalaya Solapur
Completed foundational schooling under the Central Board of Secondary Education (CBSE). Developed strong analytical and problem-solving skills.
Experience
Networking Virtual Intern
AICTE EduSkills & Zscaler
Gained comprehensive, hands-on exposure to core routing and switching mechanisms, communication protocols, network security configurations, and enterprise security frameworks. Analyzed real-world network structures and implemented security postures, establishing a robust foundation for infrastructure security roles.
Technical Chair
CyberSheil (AISSMS IOIT)
Orchestrated the technical planning and execution of student cybersecurity initiatives. Led engineering and operations teams in designing practical labs, workshops, and capture-the-flag (CTF) environments to enhance cybersecurity awareness and secure coding practices across the college community.
Open Source Contributor
GirlScript Summer of Code & GitHub
Contributed to 3+ active public repositories focused on Machine Learning, JavaScript logic, and system configurations. Refactored code, resolved active issues, optimized computational logic, and utilized Git workflows to collaborate with maintainers.
Achievements
IIT Indore '25
5TH RANKAchieved 5th Rank at the national-level IIT Indore Product Breakdown Competition, competing against top-tier analytical minds and innovators across India.
- National Recognition
- Product Analysis
IIT Bombay '25
FINALISTSecured Finalist status at the prestigious IIT Bombay Hackathon, showcasing advanced rapid prototyping and problem-solving.
- Rapid Prototyping
- Creative Engineering
Neural Nexus 2.0
FINALISTRecognized as a Finalist in the Neural Nexus 2.0 hackathon for designing and delivering high-performance AI solutions.
- Deep Learning
- AI Deployment
GSSoC Rank 73
GLOBAL TOP 0.2%Ranked #73 out of 40,000+ global participants in GirlScript Summer of Code (GSSoC) for ML and JS repository contributions.
- Open Source Contributions
- Collaborative Workflows
Certifications
Research
AI-Enabled Multimodal Framework for Teaching Quality Evaluation To Strengthen Diverse Learners Abilities
Engineered an AI-powered educational framework designed to analyze classroom teaching quality and automatically generate accessibility-first tools for diverse learners.
- Integrates OpenAI Whisper for automated speech-to-text transcriptions.
- Employs BERT NLP algorithms to generate cognitive simplifications.
- Utilizes ResNet50 for analyzing body language and classroom dynamics from video.
Technical Skills
Projects
PrepAI.io
Engineered a real-time, voice-first AI interview simulator and automated video feedback agent utilizing WebRTC, reducing mock interview preparation time by 40% and handling concurrent low-latency audio processing.
MentorMind
Developed a multimodal AI evaluation platform analyzing teaching quality and body language in real-time, utilizing ONNX-optimized models and Redis caching to process video frames with sub-50ms latency.
Send a Message
Let's build something professional.
Whether you're looking to discuss full-stack applications, artificial intelligence implementations, open-source projects, or student technical chapter collaborations, my inbox is always open.