Tilakraj Singh Rao

Software Engineer

Bengaluru, Karnataka, India5 yrs experience

Key Highlights

  • Achieved 99% accuracy in breast cancer prediction using SVM.
  • Enhanced customer service efficiency through CRM integrations.
  • Developed multiple Java-based microservices for cloud migration.
Stackforce AI infers this person is a Backend-focused Software Engineer with experience in SaaS and Healthcare industries.

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Skills

Core Skills

Integration TestingRest ApisJavaMicroservicesSoftware Design PatternsMachine LearningCross-platform Development

Other Skills

AlgorithmsApache CordovaApache KafkaApache NiFiBack-End Web DevelopmentBootstrapCC++Cascading Style Sheets (CSS)Computer NetworkingComputer OrganisationContinuous Integration and Continuous Delivery (CI/CD)Data PreprocessingData StructuresDatabase Management System (DBMS)

Experience

5 yrs
Total Experience
1 yr 8 mos
Average Tenure
1 yr 9 mos
Current Experience

Walmart global tech india

Software Engineer III

Sep 2024Present · 1 yr 9 mos · Bengaluru, Karnataka, India · Hybrid

  • International Tech - Growth and Monetization

Birdeye

Software Backend Engineer

Jun 2023Sep 2024 · 1 yr 3 mos · Gurugram, Haryana, India

  • Developed a Business Listing Optimization Strategy by creating, updating, and managing business listings across Google, Facebook, Bing, Apple.
  • Integrated Birdeye with multiple CRMs (e.g., Cliniko,Intuit Quickbooks, Curve Dental, Lightspeed, Tekmetric, ServiceM8, Sitelink, Constant Contact etc.
  • Optimized customer experiences by implementing seamless Birdeye integration with multiple CRMs and automated check-ins using contact triggers.
  • Empowered clients with streamlined appointment management through Birdeye-CRM integration, significantly enhanced customer service efficiency.
  • Implemented Lead & Conversation Writeback, automating new customer data transfer to CRM, enabling the sales team to promptly follow up and convert leads into customers, increasing
  • conversion rates by 50%.
  • Implemented an automated Customer Experience Score Writeback process to CRM, enabling real-time tracking of customer feedback.
  • Implemented a Contact Sync trigger for seamless customer synchronization, facilitating daily updates and automated review/survey requests for customers checking in through Birdeye Integration.

Oracle

2 roles

Software Development Engineer 1

Apr 2022Jun 2023 · 1 yr 2 mos · Bengaluru, Karnataka, India

  • Worked with the onsite dev Team to create an Aggregator service as a part of Oracle Cerner’s Cloud.Next AWS Migration.
  • Contributed towards multiple Java-based microservices and improved their efficiency by writing Junits with coverage of over 95% using Junit and Mockito.
  • Automated and Optimized E2E APIs testing and its response validation using Postman Assertions.

Software Development Engineer 1

May 2021Mar 2022 · 10 mos · Bengaluru, Karnataka, India

  • Worked on the Unified Genisys Tool that allows a user to get a Unified view of technical and functional resources of different solutions through a single search box.
  • Designed and Implemented a Search/Create Page with multiple filters where users can create a post, comment on posts, and can access all its recently created Posts, Commented Posts, Posts with multiple filtered statuses, etc.
  • Implemented search, post & comment feature in Unified Genisys Tool project to help the Organization associates to post their queries over the forum.
  • Reduced the effort of searching for an existing or investigating a new issue within the Organisation by 99%.
  • Facilitated the Contract Management(CCM) team to investigate faster using the Unified Genisys Tool. Hence, reducing their turn-around time by 99%.
  • Functioned with the contract Management(CCM) dev team to enhance and support the development of the CCM Portal.

Coursera

Machine Learning Intern

Jul 2020Sep 2020 · 2 mos · Bengaluru, Karnataka, India

  • worked on Supervised machine learning Algorithms
  • Data for Machine Learning
  • Optimising Machine Learning Performance.
  • worked on Breast Cancer Detection - Used the Breast Cancer Wisconsin (Diagnostic) Database to predict the likelihood of breast cancer using customized support vector machines (SVMs) and k-nearest neighbors (KNNs). Compared the accuracy of the two models and found that SVMs achieved 99% accuracy, while KNNs achieved only 85% accuracy. This demonstrates the effectiveness of SVMs for breast cancer prediction.

Ats infotech pvt. ltd.

Cross Platform Mobile App Development Trainee

Jul 2019Sep 2019 · 2 mos · Bengaluru, Karnataka, India

  • Built 10+ CROSS-PLATFORM Mobile Apps using APACHE CORDOVA (system software).
  • Developed a fully-featured Weather Application with includes features like TimeZone Convertor, Location Detector, Music Application, Sun Calculator, etc

Education

RNS Institute of Technology - India

Bachelor of Engineering - BE — Computer and Informaton Science

Jan 2017Jan 2021

St. Paul's Senior Secondary School

Jan 2014Jan 2016

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