Kshitij Rai

>Conducted market sizing, competitor benchmarking, and customer segmentation for Spain’s prefabricated timber housing sector to support the company’s commercialization and geographic expansion strategy. >Built an operational scaling plan by analyzing production capacity, throughput constraints, and process standardization required to transition from project-based construction to repeatable manufacturing. >Mapped supplier network and material flows (CLT panels, structural components, and on-site assembly inputs), identifying lead-time drivers and recommending sourcing and coordination improvements to reduce schedule risk.

>Researched 25+ small-scale manufacturers to assess Predictive AI readiness. >Benchmarked 15 AI tools for predictive maintenance, demand forecasting, and supply chain ops. >Designed a custom GPT-based evaluation framework with 10+ AI-readiness criteria. >Built a strategic roadmap covering 5 AI integration stages over 12–18 months. >Conducted SWOT analysis of 7 predictive-AI platforms for business impact. >Addressed 3 core barriers: data quality, interoperability, and cybersecurity. >Proposed a phased adoption plan using Lean and Kaizen for cost-efficiency. >Created 2 executive presentations and 1 strategic report for leadership. Note: This project was part of the “Strategies for Innovation and Growth” course at Johns Hopkins University.

>Led an operations improvement project in the Pediatric Operating Room (OR) focused on reducing Surgical Site Infection (SSI) risks caused by observer movement and noncompliance. >Designed a two-phase implementation plan introducing colour-coded gown zoning, digital QR code sign-in systems, and preoperative training modules to standardize onboarding and observer management. >Developed and implemented updated SOPs and visual signage aligned with hospital infection-control policies. >Predicted measurable outcomes, including ≥90% compliance in digital observer tracking, ≥50% reduction in sterile-field breaches, and ≥25% decrease in nurse oversight time through automation and visible ID systems. >Created KPI frameworks and cost-time analysis showing an estimated 203 staff hours saved per member annually and a $17,000+ reduction in accessory waste (caps, gowns, and badges). >Collaborated cross-functionally with nursing leadership, infection control teams, and OR management to build a sustainable, evidence-based framework for observer monitoring and infection prevention. Note: This project was part of the “Strategies for Innovation and Growth” course at Johns Hopkins University.

In my role as Team Captain, I am responsible for guiding a team consisting of over 40 team members in pursuit of our collective objective to construct and produce remotely controlled aircraft models that exhibit desired aerodynamic efficiency. Additionally, I am committed to cultivating a culture of creativity within the team, with the ultimate goal of efficiently executing aircraft fabrication. This vision and aim serve as the driving force behind my leadership. Additionally, I oversee the team's administration. The process of formulating efficient action plans to fulfill crucial deadlines and offering technical expertise to enhance the efficiency of design and analysis.

> Engineered the structure of lightweight UAVs with the primary goal of lifting the maximum payload with a given constraint on the wingspan. > Designing and developing models and drawings of various structures, mechanisms, and other components of a system using CAD software. > Conducted simulations and tests to verify the designed structures and components' stability, strength, and durability. > Successfully manufactured our flagship aircraft “KOLOSSOS” for SAE Aero Design East 2023 (Florida, USA). >Successfully manufactured our national flagship "ALB 23" for SAEISS DDC 2023 (Chennai,India).

Learned the detailed concepts of aerodynamics, mechanics, manufacturing. Learned various CAD and analysis softwares.

Topic: Investigating the Impact of Elevated Friction on the Drive Wheel Collar of EOT Cranes: Mitigation Strategies for Enhanced Performance >Led a comprehensive study into the consequences of increased friction on the drive wheel collar of Electric Overhead Travel (EOT) cranes operating in the dynamic steel melting process environment. >Utilized modern data acquisition tools to collect real-time operational data, enabling the detection of performance bottlenecks caused by friction. Utilized statistical analysis techniques to establish correlations between friction levels and wear and tear, facilitating data-driven decision-making processes. >Worked closely with maintenance engineers, metallurgists, and technical employees to validate findings and incorporate varied perspectives into mitigation techniques. >Thrived in a rapid industrial environment, contributing to the enhancement of EOT crane operations through the development of a comprehensive project that focused on friction reduction. Utilized technical expertise, worked together with other people, and analyzed data to create measurable improvements in the efficiency and longevity of cranes.