Researcher

RISE Lab, Arizona State University

• Engineered automated ROS + Python data acquisition pipeline synchronizing high-frequency pneumatic pressure streams (100+ Hz) with motion-capture trajectories, eliminating manual preprocessing and accelerating analysis workflows by 60% for downstream control modeling.
• Decoded complex system dynamics through MATLAB/Python signal analysis, uncovering critical temporal dependencies and non-linear transients that directly shaped feature engineering strategies for closed-loop pneumatic controllers.
• Spearheaded baseline control model development using regularized linear regression with GridSearchCV hyperparameter optimization, achieving 7% improvement in predictive accuracy over existing approaches and establishing performance benchmarks for the research team.
• Orchestrated cross-institutional collaboration with Virginia Tech researchers, pioneering advanced nonlinear control strategies including AutoTS forecasting, LSTM neural controllers, and policy-gradient RL that enhanced system stability by 12% in dynamic pressure scenarios.

Machine Learning Engineer

Jupiter AI Labs (Freelance)

• Transformed property assessment workflows by productionizing end-to-end YOLOv8 instance segmentation pipeline that processes Regrid API satellite imagery, deployed as production-grade Flask REST API on AWS with S3 integration, JWT authentication, and comprehensive error handling serving 500+ daily requests.
• Curated and augmented dataset of 1,700+ satellite images with precise boundary annotations, training custom YOLOv8 model that achieved 95% segmentation accuracy and >90% precision in extracting property boundaries—outperforming baseline approaches by 23%.
• Engineered geometric algorithms for square-footage calculation from segmented polygons, delivering <15% mean absolute error that enabled accurate lawn area estimation critical for client pricing models.

• Architected intelligent health assistant by integrating Rasa conversational AI framework with GPT-3.5 for contextual query understanding, handling 1,000+ health-related conversations weekly with 92% user satisfaction ratings.
• Implemented semantic search infrastructure using ChromaDB vector database for clinic recommendations, incorporating RAG (Retrieval-Augmented Generation) with content filtering guardrails that reduced inappropriate responses by 98% while maintaining personalized, context-aware assistance.

Data Science Intern

Incipient Technologies Pvt. Ltd.

• Delivered high-stakes computer vision solutions for confidential client projects, implementing custom object detection models using transfer learning and data augmentation techniques that consistently achieved ~95% accuracy on proprietary datasets while maintaining strict confidentiality protocols.
• Collaborated cross-functionally with web development team to enhance user interfaces, optimizing frontend performance and implementing responsive design patterns that improved site usability scores by 30% based on user testing feedback.

Mentor

Future for Kids, Tempe, AZ

• Served as a dedicated mentor for youth, guiding after-school programs that focus on academics, athletics, and ethics to foster resilience and positive life choices.
• Facilitated STEM and educational activities, maintaining a safe and engaging environment that empowers students to build confidence and vital teamwork skills over the semester.

Community Empowerment

Rural Areas, India

• Spearheaded digital literacy initiative in 8+ government schools, conducting interactive workshops on digital payments and online safety that equipped 300+ students with essential technology skills, bridging the urban-rural digital divide.
• Mobilized rural communities around environmental sustainability by leading grassroots campaigns for proper waste segregation and disposal, establishing 5+ community collection points that reduced improper waste disposal by an estimated 40%.
• Championed water conservation awareness through village-level presentations and hands-on demonstrations, educating 500+ residents on rainwater harvesting and greywater management practices that promote long-term environmental stewardship in water-scarce regions.