About Me

Software Engineer specializing in cloud technologies, big data, and DevOps.

AKV

Advaith Krishna Vasisht

Location:Boston, MA
Phone:(857)-313-4365

> Summary

Information Systems student at Northeastern University and former Software Engineer at Intel Corporation with expertise in cloud technologies, big data, and DevOps. Passionate about building scalable solutions and exploring new technologies.

Skilled in Java, Python, C++, JavaScript, and various cloud platforms including AWS, GCP, and Azure. Experience in designing and implementing high-performance data processing systems and ETL pipelines.

> Education

Northeastern University

May 2025

Master of Science in Information Systems

Courses: Cloud Computing, Data Science Engineering Methods, Web Design, Advanced Data Structures and Algorithms

PES University

May 2021

Bachelor of Technology in Computer Science Engineering

Courses: Big Data Analytics, Cloud Computing, Data Science and Machine Learning, Web Development, Cybersecurity

> Experience

Intel Corporation

Jan 2021 - Aug 2023

Software Development Engineer

  • Designed a high-performance scheduler for an ETL pipeline using Hadoop and Hive, improving data processing efficiency by 30%
  • Developed scalable data extractors leveraging Spark MapReduce and Python, reducing ingestion time by 50% for high-volume datasets
  • Created advanced data cleaning algorithms with Hive and Spark ML, enhancing data quality and reducing processing time significantly
  • Built transformation scripts using machine learning algorithms and Spark ML to generate actionable insights for client decision-making
  • Deployed interactive dashboards using Grafana, Metabase, and Streamlit, boosting real-time operational efficiency
  • Implemented robust failsafe mechanisms with Zookeeper for disaster recovery, achieving 99.9% system uptime
  • Streamlined deployment processes with CI/CD pipelines and automated testing protocols

Tapchief

Jun 2018 - Aug 2018

Software Intern

  • Implemented and configured Nginx as a reverse proxy, achieving an increase in site loading speed and bolstering security through SSL certificate integration
  • Executed the migration of legacy blog databases onto a new internal platform, preserving data integrity and enhancing content management efficiency
  • Rebranded and optimized the blog under a new subdomain, driving a 30% increase in organic traffic and elevating SEO rankings

> Skills

Languages

JavaPythonC++JavaScriptHTMLCSS

Databases

PostgreSQLMongoDBRedisHive

Cloud Technologies

AWSGoogle Cloud PlatformMicrosoft AzureDockerKubernetesTerraform

Big Data

Apache HadoopSparkHiveAirflowBeam

DevOps

CI/CD PipelinesGitHub ActionsJenkinsTerraform

> Projects

Rideshare

A cab-sharing application utilizing microservices architecture with Python, Flask, Docker, and AWS.

  • Engineered microservices architecture, improving scalability and reliability
  • Designed and deployed REST APIs for user account management, enabling seamless CRUD operations
  • Implemented RabbitMQ for messaging queues and Zookeeper for performance monitoring

Traffic Monitoring System

A real-time traffic management solution that coordinates traffic lights based on vehicular density.

  • Reduced congestion by up to 30% at key junctions
  • Utilized image recognition to estimate vehicle density and detect violations
  • Implemented the YOLOv3 algorithm to achieve 95% accuracy in vehicle detection

WebApp

A web application with user database, CRUD operations, and email-based authentication.

  • Deployed on Google Cloud Platform with CloudSQL for database operations
  • Implemented GitHub Actions for CI/CD and integrated Pub/Sub for messaging
  • Configured load balancing, VPC subnetworks, and firewalls to enhance security