Raghav Sethi Email & Phone Number

India

Ahmedabad, Gujarat, India

Gurugram, Haryana, India

Gurugram, Haryana, India

♦ TMS : Third-Party Logistics Management Application➞ Collaborated on developing and maintaining 3PL logistics monitoring for the application.➞ Designed and developed new microservices to meet specific requirements, while also enhancing the suite of 30 existing microservices.➞ Employed gRPC with Protocol Buffers to ensure efficient and scalable communication between microservices.➞ Utilized Azure Durable Functions for seamless serverless workflow orchestration.➞ Exposed REST APIs with Google Cloud Endpoints and Extensible Service Proxy, resulting in exceptional performance.♦ Prima : Vehicle Routing Planning Application➞ Collaborated to build a new application from scratch to cater to the unique use cases of Godrej & Boyce and Kohler.➞ Implemented solutions for vehicle routing planning (VRP), bin-packing, and optimization utilizing CP- SAT, MIP, and Google Optimization AI solver, with customized business constraints.➞ Leveraged PubSub and Kubernetes-based Event Driven Autoscaling on GKE to make the application scalable and asynchronous.➞ Capable of generating solutions surpassing manual optimization in considerably less time, optimizing 2.5K shipments in under 10 minutes.➞ Optimized model parameters and constraints, enhancing solutions while reducing solver runtime by 8X.➞ Resulted in significant cost savings and operational efficiencies for the client.

Pune, Maharashtra, India

I worked on a project that involved working with Epipolar geometry and Point Cloud concepts to generate accurate 3D point clouds for capturing cartons from pallets. The resulting point clouds were highly accurate and reliable, making the system a valuable tool for a variety of industries and applications.As part of the project, I wrote code to calculate depth maps and 3D point clouds from stereo cameras, specifically using the Intelrealsense camera. I also developed code to generate point clouds from stereo cameras and performed testing on both the point cloud and disparity map. Finally, I created a demo and documentation for the project.

During my internship, I gained experience in structuring data and performing exploratory data analysis (EDA) using univariate and bivariate analysis, correlation, and visualization techniques. I also applied linear regression, principal component analysis (PCA), k-nearest neighbours (KNN), and artificial neural network (ANN) algorithms to gain insights from the data.