Master of Science in Artificial Intelligence and Robotics

Machine Learning Research Assistant

• Enhanced depth perception through vision transformers and binaural audio for audio-visual multi-modal estimation.
• Led the development of person verification systems leveraging the IARPA BRIAR dataset with advanced metadata
extraction and aggregation techniques, resulting in a 12% improvement in recognition accuracy.
• Biometric Feature Fusion technique invited to publish in IEEE Transactions journal T-BIOM.

Venture Coach

• Mentored 85+ student-led startups, leading to 10 of them securing a total of 115,000 USD in seed funding within a year.
• Facilitated monthly workshops on machine learning best practices, attracting an average of 75 participants per session.

Machine Learning Engineer

• Directed the development and optimization of ML algorithms to personalize learning pathways, resulting in a 25%
increase in student engagement and a 15% boost in course completion rates.
• Integrated ML solutions, achieving a 14% reduction in student dropout rates by identifying at-risk learners early.
• Led student-inclusive RD initiatives, resulting in the successful launch of 15+ student-led products and a 30% increase in

Robotics Engineer

• Managed the entire product lifecycle from conception to deployment for multiple projects, leveraging ROS, Python, and
C++ to engineer robotics solutions and ensuring adherence to budget constraints and timelines.
• Led the research and development phase for the weld quality scanning robot for large structures, producing a prototype
that reduced inspection time and improved efficiency by 40%.
• Designed and implemented the hardware and software integration for a COVID Disinfection Robot deployed in over 30
healthcare institutions.

Co-founder

• Spearheaded the development and iterative refinement of deep learning models for thermal image analysis to detect early
onset of breast cancer, achieving a detection accuracy rate of 96%, a 12% improvement over initial benchmarks.
• Recruited and nurtured a team of four engineers to achieve key project milestones, and drove fundraising efforts, securing
over 23,000 USD in capital.
• Partnered with medical professionals to align model outputs with clinical relevance, incorporating feedback to boost
model sensitivity by 10% for early-stage cancer indications.