Shiivek Agarwal

Mixed-Tier Cylinder Optimization | $3.2M–$5.2M Annual Cost Savings - Optimized outbound product transportation by eliminating excess pallets in mixed-tier cylinders. - Conducted comprehensive operational analysis including on-site time studies at distribution centers and clubs, review of IT and transportation data, and assessment of cube utilization patterns. - Identified inefficiencies resulting in 4,700+ avoidable truckloads per year and over 10.5M cubic feet of underutilized capacity per year. - Researched and proposed robotic automation solutions for DC's by engaging vendors, evaluating technologies, and developing an automated solution pipeline to support long-term scalability. - Developed and presented a cost-reduction strategy with financial models, ROI projections, and 3-year forecasts demonstrating positive savings within 2 years. - Collaborated with Club Operations to establish a pilot program at a DC. Automation Deployment Framework - Designed and implemented a scalable deployment template covering more than 30 critical activities for automation rollouts, from contract signature through post-deployment handover. - Aligned key stakeholders across Operations, IT, Facilities, Safety, Learning & Development, and Robotics by clearly defining roles, responsibilities, timelines, and deliverables. - Reduced project delays and miscommunication by improving transparency, cross-functional accountability, and tracking of deployment milestones. Technical Dashboard Rollout - Deployed a real-time performance dashboard for the pallet sorter automation solution across all ambient distribution centers, enabling data-driven decision-making at the enterprise level. - Partnered with the vendor Technica to configure dashboards by site, tailoring access permissions to specific roles and distribution centers. - Produced comprehensive training resources including video walkthroughs, and reference materials to ensure consistent usage across multi-shift operations.

- Provided expert e-mail and in-person technical support, consultation, and troubleshooting to the diverse WPI community, including faculty, staff, and students. - Demonstrated quick and effective responsiveness to users, successfully resolving inquiries with accuracy and professionalism. - Fostered a dynamic work environment to promote team synergy, facilitate collaborative efforts, and mentor colleagues, fostering their professional development through training initiatives. - Documented user inquiries by creating comprehensive and organized tickets for efficient issue tracking. - Contributed to improving technical content by reviewing knowledge articles for accuracy, readability, and appropriateness for target audiences.

• Collaborated with Fundación Paraguaya to implement a clone of the original database in AWS Redshift, ensuring data integrity, immutability, and de-identification while enabling analysis of Poverty Stoplight indicators, and enhancing research data accessibility. • Conducted weekly meetings with Dr. Krueger and Fundación Paraguaya to align on research objectives and data processing workflows. • Deployed machine learning models to generate key indicators with the highest correlations, improving data interpretation and actionable decision-making, resulting in a 30% increase in research areas delivering valuable insights to stakeholders. • Engineered a data summary model designed to present research findings, improving data accessibility and potential marketability.

-Spearheaded the redesign of the department’s ticketing workflow, increasing operational efficiency by 50%. -Implemented server maintenance procedures, involving the regular replacement and upkeep of switches. -Managed onGuard and documentation processes, recording changes and customizations made to the software, specifically for building bulk card access requests. - Acted on the Card Access student subteam, taking on organizational, leadership, and problem-solving responsibilities. - Coordinated scheduling between student workers and department managers aimed to increase work productivity. - Translated technical details into accessible language for non-technical leadership, ensuring a clear understanding of issues.

- Website Development: Led the design and development of a professional website for Aswin Gnanaskandan using WordPress, theme builder, and Divi Builder. - Facilitated Collaboration: Conducted regular meetings with Dr. Aswin Gnanaskandan to gather requirements, provide updates, and ensure alignment with their vision and goals. - User Interface and Experience: Designed a user-friendly and visually appealing interface, incorporating HTML, and CSS design principles to enhance user experience. - Consistent Branding: Applied WPI crimson color themes and maintained consistent formatting throughout the website to ensure a cohesive and professional appearance. - Enhanced Functionality: Implemented various plugins and features to improve website performance, user engagement, and functionality. - Scalable Design: Created a scalable and customizable website structure, providing a strong foundation for future updates and developments.

- Investigated AI technology using real-time sensor data to detect falls enhancing safety for the aging population's mobility. - Focused on the surrounding environment as a key factor, deploying sensors on walking canes and orthopedic walkers to monitor motion, and speech. - Developed machine learning algorithms to predict falls based on captured features from experimental data. - Collaborated to implement a fall detection device, incorporating keyword spotting for confirmation, such as recognizing distress signals like "help" in multiple languages. - Contributed to the implementation of the Arduino embedded processor for the device's functionality and performance optimization.

• Collaborated with the faculty members to create discussion problems and manage course curriculum. • Supervised and taught students at weekly conferences and at office hours. • Provided support to students with their problems via email, office hours, and Mathematical Tutoring Center.

• Developed C++ & MATLAB-based numerical model to approximately predict particle morphology in the spray drying process, significantly reducing computational time to n log (n). • Presented research findings and workings at weekly conferences to sponsors and advisors. • Collaborated with a team of researchers & engineers to integrate our model into simulations, decreasing our computational time.

• Served as the primary supervisor of the building and assisted students and staff • Assisted students in 3-D printing and laser cutting in the Prototyping lab. • Assisted students and faculty in workshops like soldering, CAD software, laser cutting, 3-D printing, Basics of Arduino, and Basics of Hand tools. • Used the WebCheckOut system to loan out approved equipment & Tools. • Used Odoo to process payments for supplies purchased by community members.

- Developed a real-time binocular vision system with 20 FPS video stitching and >90% accuracy, leveraging OpenCV library. - Implemented YOLOv3 for human detection, extracting XYZ coordinates to reposition an additional camera for optimal focus. - Enhanced object tracking precision with refined confidence thresholds (0.7) and stricter Non-Maximum Suppression (NMS). - Designed and integrated an adaptive blending algorithm, improving stitching accuracy by 35% using optical flow, feature detection, and overlap-aware warping techniques. - Engineered FPS optimization for stable performance and built a UI overlay displaying detected human coordinates in real-time.