Bhuvanesh Shukla

Software Engineer

Sunnyvale, California, United States4 yrs 5 mos experience
Highly Stable

Key Highlights

  • Led tech transformation achieving 50% compute cost savings.
  • Developed microservices handling 300+ TPS traffic.
  • Achieved 100% automation for Infrastructure Provisioning.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in Travel Technology and Artificial Intelligence.

Contact

Skills

Core Skills

Cloud ComputingDistributed SystemsMicroservicesSoftware DesignPerformance EngineeringAgile Application DevelopmentMachine LearningImage Processing

Other Skills

Amazon Web Services (AWS)JavaPython (Programming Language)RESTful WebServicesFailure Mode and Effects Analysis (FMEA)Reactive ProgrammingGoogle Cloud Platform (GCP)google cloud functionGoogle BigQueryGoogle StackdriverGoogle Kubernetes Engine (GKE)Data CachingMentoringRedisSpring Webflux

About

Currently contributing to the Ads ML Ranking team at Meta, focusing on inference serving systems to drive performance and efficiency through multi-hardware serving and hardware allocation optimizations. Previous experience at Sabre Corporation involved leading tech transformation initiatives, developing microservices, and driving performance engineering efforts for cloud migration projects.

Experience

4 yrs 5 mos
Total Experience
3 yrs 5 mos
Average Tenure
1 yr
Current Experience

Meta

Software Engineer

Jun 2025Present · 1 yr · Sunnyvale, California, United States

  • Ads ML Ranking (inference serving systems)

University of illinois urbana-champaign

Graduate Teaching Assistant

Jan 2025May 2025 · 4 mos · Champaign, Illinois, United States

  • CS-498: Cloud Computing Applications
Amazon Web Services (AWS)Distributed SystemsJavaPython (Programming Language)Cloud Computing

Sabre corporation

4 roles

Software engineer 4

Promoted

Jul 2023Jan 2024 · 6 mos

  • Led the development team in a tech transformation project aimed at offloading airline reservation capabilities from mainframe to cloud, achieving 50% compute cost savings.
  • Developed microservices by employing reactive programming to facilitate asynchronous update of PNR in response to airline events, handling 300+ TPS.
  • Ensured adherence to coding standards, and design principles through 50+ code reviews and consistent support on API design while leading the development team.
  • Boosted system reliability by creating 10+ service failure mitigation plans through Failure Mode and Effect Analysis (FMEA) and derived optimal configurations for the circuit breakers and cache within the application.
  • Addressed the problem of high manual effort required to compare legacy data against open system data by designing and developing a log comparator application, achieving 90% reduction in manual efforts.
MicroservicesRESTful WebServicesJavaSoftware DesignFailure Mode and Effects Analysis (FMEA)Reactive Programming+9

Software Engineer 3

Promoted

Apr 2022Jul 2023 · 1 yr 3 mos

  • Worked on a tech transformation project employing the orchestrated-saga design pattern to develop microservices for PNR creation and update workflows, ensuring 99.999% data consistency.
  • Implemented comprehensive microservice Performance Engineering through Load, Soak, Spike, Stress, Configuration, Failover, and Scalability testing, ensuring system reliability, scalability, and efficiency in high-demand environments.
  • Increased application availability to 99.99% by implementing the Blue-Green deployment strategy and multi-region deployment of microservices on Google Kubernetes Engine.
  • Fixed vulnerabilities and bugs identified by Veracode and Sonar application scans and achieved Veracode Level 5 security standard for the microservices.
  • Enhanced application management and security by configuring Kubernetes Config Maps to store environment variables and Kubernetes Secrets to store confidential information such as application credentials.
Google Kubernetes Engine (GKE)Protocol BuffersDistributed SystemsJSON Web Token (JWT)KubernetesGoogle Cloud Platform (GCP)+11

Associate Software Engineer

Aug 2020Apr 2022 · 1 yr 8 mos

  • Migrated microservices from AWS to GCP by migrating messaging framework from Kafka to Google Pubsub, 40+ Prometheus-based application metrics, and alerts to Stackdriver-based framework.
  • Achieved 100% automation for Infrastructure Provisioning and IAM role binding in GCP via Terraform scripting.
  • Migrated application logging and monitoring framework from Kibana, Grafana to Google Cloud Logging and Monitoring.
  • Supported successful production traffic migration from mainframe to cloud through application deployments, application monitoring, and contributing to on-calls.
  • Constructed a CICD pipeline using Jenkins to deploy 4 microservices in multiple environments on GCP.
GrafanaprometheusWireMockApache KafkaSpring BootKibana+17

Software Engineer Intern

Jan 2020Aug 2020 · 7 mos

  • Offloaded flight ticket issuance, cancellation and exchange functionalities from mainframe to open-system by developing 4 microservices, leveraging event-driven architecture with Kafka and SpringBoot, supporting 100+ TPS traffic.
  • Developed 4 microservices using Spring Boot, OpenAPI, and Kafka for updating PNR on ticketing events.
  • Implemented robust testing through integration, smoke, and unit testing for microservices, achieving 100% code coverage.
  • Automated creation and maintenance of application logging and monitoring by creating a dashboard
  • using ELK and monitoring dashboards on Grafana via code.
  • Developed communication and collaboration skills as a contributor to a global Scrum team, working across multiple development centers.
  • Followed Agile Development model and SCRUM through active involvement in grooming, planning, demo, and retrospective activities.
GitObject-Oriented Programming (OOP)ScrumAlgorithmsJavaAgile Application Development+4

Centre for development of telematics (c-dot)

Machine Learning Intern

May 2018Jun 2018 · 1 mo · New Delhi Area, India

  • Contributed to the development of a face recognition system with occlusion removal characteristics using face image augmentation through 3DMM fitting and GAN.
  • Implemented face image augmentation technique by mapping 2D face image on a 3D morphable model configured to adapt based on the fiducial points of the 2D face image.
Image ProcessingDeep LearningOpenCVAlgorithmsPython (Programming Language)TensorFlow+2

Education

University of Illinois Urbana-Champaign

Master's degree — Computer Science

Jan 2024May 2025

Vellore Institute of Technology

Bachelor of Technology — Computer Science

Jan 2016Jan 2020

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