Laksath Adityan Mahaliappan Kanagaraj Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

United States

Mumbai, Maharashtra, India

1. HRMS Expertise• Led the design and implementation of HRMS with a focus on Attendance, Leave, Access, and Payroll Management, reducing company overheads by 5%.• Developed and led a team of 4 in building the backend for an in-house HRMS portal; achieved a 40% reduction in manual data entry, saving 15+ hours per week.• Engineered an efficient off-boarding module with robust APIs and database schema, reducing off-boarding time by 40%.• Established a performance rating system for managers and vertical heads using CRON and SideKiq for automated monthly reports and feedback emails.2. In-house Merchandise Store Application• Single-handedly designed and implemented the backend for CogoStore, linking the merchandise store to the payroll system for integrated payment processing contributing to 1% of the company’s overall revenue.• Utilized ORM, indexing, and concurrent threads to optimize database queries, reducing API response time by 500%. 3. SaaS Tools• Led the initiative for creating a rate calculation engine within FCL Freight Systems’ Insurance Management System, leading to a 25% boost in average transaction value and increased revenue.• Connected the Insurance Management System with Bajaj Finance using the Secure Now third-party API, leading to a 40% reduction in manual errors and improved operational efficiency.

Jodhpur, Rajasthan, India

• Presented as first author at IEEE ICIP’23 (https://ieeexplore.ieee.org/document/10222147)• Proposed a Multibranch UNet architecture incorporating multitask learning for automated breast tumor segmentation and breast ultrasound image classification.• Designed with three output branches: segmentation, reconstruction, and classification, generating a tumor mask, reconstructing ultrasound images, and assigning class labels, respectively.• Employed data augmentation and executed testing and training processes on the NVIDIA DGX A100 using Kubernetes.• Evaluated the segmentation performance using the Dice coefficient, comparing it with various state-of-the-art techniques.• Compared to competing methods such as UNet (0.53), Attention UNet (0.68), Residual UNet (0.65), Inception UNet (0.53), UNet++ (0.57), and PSPNet (0.48), the proposed method (0.76) demonstrated superior performance across all categories of breast ultrasound images.

Tokyo, Japan

Yokogawa Analytics: – Lead a UI/UX team of 4 members that involves the creation of a business analytics webpage, and solving previously existing bugs.– Established responsive design techniques across all screen sizes, optimizing user experience and ensuring seamless accessibility; achieved a 25% reduction in bounce rate and increased average session duration by 20%.– Formulated visually appealing and interactive graphs using Plotly React JS library, enhancing datavisualization capabilities and improving decision-making process; resulted in a 40% increase in data-driven insights for stakeholders.

Tokyo, Japan

Zynas Disaster Management System:– Created an Android/IOS disaster prevention app that allows Japanese school students to mark down disaster-prone locations in raster maps using Flutter.– Crafted gesture detectors to create markers at raster maps.– Devised a camera feature to capture, and store images at coordinates, allowing text addition, and future editing/deletion.– Used Hive as the back-end to store raster maps and the disaster-prone coordinates present on them.

Bachelor Of Technology - Btech, Computer Science And Engineering

High School Diploma, Cbse