Dishant Kavathia

- Understanding and technical setup of camera sensors, lights, and encoders, to synchronize image acquisition using industrial cameras. - Development of application with blob detection tool in Keyence software with cycle time of 140 milliseconds. - Coordinate with the supervisor regarding project updates and prepare presentations for the feasibility study outlining project results.

- Implementation of an AI model as a class function using object-oriented programming. - Application development for error-reporting in collaboration with IT-Team using PyQt5 and Python. - Setting camera, along with sensors for inspection of 3D printing process. - Development of Python scripts for automation of defect detection using AI.

Project - Optimization of the additive manufacturing process Tasks - Integration of multiple sensor data, Application development to convey data insights, Implementation of Machine Learning (ML) and Deep Learning (DL) models Achievements - Integrated data from different machine files, saving 30% of the team's effort and time to retrieve data, significantly reduced reporting time for process errors by developing an application using Python and PyQT5, Leveraged capabilities of EfficientNetB7 (image segmentation model) and SVM-based model to perform time-series analysis to detect defects from thermal images.

Project - Automation of the etching process. Tasks - Data collection, sorting and visualization, anomaly detection, detecting falsely classified images, implementation of SVM and VGG16-based ML and DL models. Achievements - successfully reduced time to collect, clean, and sort the data by 18% by automating the data pipeline using Python, increased accuracy by 4% by detecting anomalies from the data using a decision tree-based model, solved single-handedly the errors in the fully trainable VGG16-based model by implementing a batch normalization layer in the model architecture.

▪ Coordinated and updated project schedules, milestones, and deliverables to all stakeholders using in-house Enterprise Resource Planning (ERP) software. ▪ Collaborated with multiple project managers and facilitated communication between sister companies for the timely completion of a project worth 1 Million AED. ▪ Provided weekly status updates and generated project reports using advanced features in Microsoft Excel, such as VLOOKUP, pivot table, and conditional formatting.

My B.tech thesis revolved around Design for Additive Manufacturing (DfAM) & Topology Optimization (TO) of a Hydraulic manifold block. The experience at Intech Additive Solutions (earlier Intech DMLS) helped me to adapt my final design as per Direct Metal Laser Sintering (DMLS) process constraints. I achieved weight reduction by approx. 47% and lead time reduction by approx. 26%. I look forward to working on the application side of AM and leveraging its potential for future applications.

▪ Conceived my bachelor’s thesis entitled “Design for Additive Manufacturing (DfAM) of a hydraulic manifold block. ▪ Performed a feasibility study considering a test artefact to be printed in the material grade AlSi10Mg. ▪ Independently collaborated with Intech Additive Solutions to adapt the final design as per Direct Metal Laser Sintering (DMLS) process constraints. ▪ Optimised topology using Materialise Magics™ for material saving & cost reduction.

I worked at Larsen & Toubro Heavy Engineering Division which is a state-of-the-art manufacturing facility that caters to the needs of core process, nuclear power, defence and aerospace industries. As an intern, I worked for six weeks on the project “IoT & Automation in Nozzle Welding Station”, my task related to project involved the following :- 1. Automation of the SAW process: the process can now be performed by a single operator instead of the two needed before. Production rate was increased by 37 percent. 2. Work on the modified Flux Recovery Unit (FRU): routed flux feeding pipe and flux suction pipe. 3. Digital logger design: set up a new pancake slip ring and designed a digital logger that monitors voltage and current values at various points during welding. Apart from the value of being part of an excellent engineering team I also learned about the following: 1. Lifting lug design, welded and bolted joints, application of Finite Element methods Analysis (FEA) 2. CAD modelling of fixtures for top lid mountings using Solidedge and NX 7.5, thermocouple mounting, Infrared Heating and setup. 3. Various manufacturing processes: tube-to-tube sheet welding, Electro Slag Strip Cladding (ESSC) process, hot rolling and cold rolling.

Startup Weekend is a 54-hour weekend event, during which groups of developers, business managers, startup enthusiasts, graphic artists and more pitch ideas for new startup companies, form teams around those ideas, and work to develop a working prototype, demo, or presentation by Sunday evening. Organizing this event with prolific presence of enthusiastic people, aspiring to have an impact in the society and people at large through novel ideas & innovative concepts has been really a life long cherishing experience. The event gave us an opportunity to connect with local startup ecosystem and inspiring personnels. My role in the event was of Venue and accommodation management where I communicated with the authorities at CEPT University, Entrepreneurship Development Institute of India and Pathikashram Gandhinagar.

Key course modules: Laser and its application Additive Manufacturing - I