Roshan Bandlapalli
Driven by a strong ambition for mastery, I approach challenges with a unique blend of logical rigor and creative problem-solving. My autonomous spirit fuels my desire to innovate and lead, particularly in fostering AI literacy and building engaged communities where I can make a tangible impact.
Experience
Qiskit Advocate
Qiskit · Aug 2025 – Present
- The Qiskit Advocate role is centered on contributing to the community in various ways:
- creating educational content
- organizing or leading community events
- making open source contributions
Research Intern - Quantum Machine Learning
Mahindra University, Hyderabad · Aug 2025 – Present
- Building a first-of-its-kind quantum facial biometric system that integrates classical computer vision with quantum machine learning.
- Designed hybrid quantum-classical pipelines pairing Variational Quantum Circuits with classical CNNs for feature extraction.
- Containerized models with Docker for reproducible experiments and deployed proof-of-concept apps on Azure for scalability testing.
- Documented research, specs, and roadmaps in Confluence for team collaboration.
Throwball Club Head - MU
Mahindra University · Aug 2025 – Present
Research Intern
Mahindra University · Aug 2025 – Present
- Development and Application of hybrid quantum machine learning for facial biometrics
CEO & Founder
TechHour.edu · Jul 2025 – Present
- We teach students before examination and guide them during the project work.
- Till now we helped 40 Students across world🌎
Perplexity Campus Ambassador (AI Literacy & Community Engagement)
Perplexity AI (Volunteer) · Aug 2025 – Nov 2025
- Drove adoption of AI tools across the student community through hands-on workshops and demos; built reusable knowledge bases.
Throwball Team Captain - MU
Mahindra University · Sep 2024 – Jul 2025
Machine Learning Intern (End-to-End ML Model Development)
Bharat Intern · Oct 2023 – Nov 2023
- Built end-to-end models for house-price prediction, wine-quality prediction, and iris classification, each from raw data to evaluated model.
- Engineered preprocessing pipelines and validated performance with statistical methods; shipped code and results via GitHub.
Machine Learning Intern
Bharath intern · Oct 2023 – Nov 2023
- Built models for House Price Prediction, Wine Quality Prediction, and Iris Classification.
- Shared results via GitHub and gained peer/mentor feedback via LinkedIn.
Machine Learning Intern (Training)
Skill Vertex · May 2023 – Jun 2023
- Completed intensive training in supervised and unsupervised learning; implemented regression, classification, and clustering on real datasets.
- Automated data-preprocessing scripts to speed up experiment turnaround.
Training Specialist
Skill Vertex · May 2023 – Jun 2023
- Implemented ML algorithms and automated preprocessing scripts in Python.
Machine Learning Internship Training
Skill Vertex · May 2023 – Jun 2023
- Completed training in supervised and unsupervised learning using Python and Scikit-learn.
- Worked on regression, classification, and clustering with real-world datasets.
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Education
M.Tech, AI & Data Science
Mahindra University, Hyderabad · 2024 — 2026
B.Tech, CSE (AI & ML)
Presidency University, Bangalore · 2020 — 2024
Intermediate, MPC
Sri Chaitanya Jr. College, Vijayawada · 2018 — 2020
Projects
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