Shreya Wanisha

Operations Associate

Boston, Massachusetts, United States1 yr 11 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable backend systems.
  • Proficient in clean code practices and TDD.
  • Experience with AI-driven automation tools.
Stackforce AI infers this person is a Backend-focused Full-Stack Developer with expertise in Healthcare and Data Engineering.

Contact

Skills

Core Skills

JavaSpring BootNode.jsAwsAzure DatabricksSql

Other Skills

AWS LambdaDynamoDBgRPCDockerKubernetesGrafanaPrometheusMicrosoft SQL ServerFast APIGoogle GeminiJava Web Toolkit (JWt)Problem SolvingLeadershipEvent PlanningTeamwork

About

Master’s in Software Engineering Systems @ Northeastern University (Boston) Full-Stack & Backend Developer | 2+ years of professional experience Hi! I’m Shreya Wanisha, a backend-focused full-stack developer who loves turning complex ideas into reliable, scalable software. What I build • Enterprise-scale backend systems processing millions of records every day • AI-powered automation tools and responsive full-stack applications • Data processing pipelines and microservices that stay fast and maintainable as they grow Recent experience • Software Engineering Intern @ Labcorp – built and optimized a Spring Boot microservices platform that processes ~70 M records daily, improved search with AWS OpenSearch, and created an AI-driven email automation tool using Node.js, AWS Lambda, and DynamoDB. • Consultant @ Thoughtworks – delivered 25+ new product features in agile teams, focusing on clean architecture and production reliability. • Associate Engineer @ MAQ Software – developed Azure data pipelines(ETL) and scalable analytics solutions. My toolkit • Backend: Java, Spring Boot, Node.js, REST/gRPC APIs • Cloud & DevOps: AWS, Azure, Docker, Kubernetes • Frontend: React, TypeScript, HTML, CSS, JavaScript • Data engineering: ETL design(Azure), real-time processing, database optimization • Monitoring Tools: Grafana, Prometheus How I work I value clean(XP practices), maintainable code, test-driven development(TDD), and collaborative problem-solving. I enjoy improving performance and designing systems that can handle real-world complexity. Let’s connect to share ideas or explore opportunities to build impactful software! 📩 wanisha.s@northeastern.edu | shreyawanisha1221@gmail.com GitHub - https://github.com/shreya2430 Portfolio - https://shreyawanisha-portfolio.netlify.app/

Experience

1 yr 11 mos
Total Experience
1 yr 11 mos
Average Tenure
--
Current Experience

Northeastern university

Teaching Assistant

Jan 2026Present · 4 mos · Boston, Massachusetts, United States · On-site

  • Supported graduate-level coursework in Enterprise Software Design and Web Development Tools & Methods at Northeastern University
  • Conducted lab sessions, guiding students through hands-on exercises and practical implementations
  • Assisted students with assignments and projects, strengthening their conceptual understanding of backend and web systems
  • Reviewed and graded assignments, providing detailed feedback to help students debug and improve their implementations
  • Held office hours to clarify course material, resolve issues, and support student learning

Labcorp

Software Engineer Intern

May 2025Aug 2025 · 3 mos · United States · Remote

  • Contributed to an AWS-managed order processing system using Java and Spring Boot to support end-to-end laboratory workflows from lab test orders to result delivery while ensuring code quality through clean code practices and comprehensive unit and integration tests.
  • Built a high-throughput data processing feature using Spring Batch, handling 70M+ records daily by reading from Amazon S3, querying the OpenSearch API, and executing business logic.
  • Developed an AI-driven email automation system using Node.js, AWS Lambda, DynamoDB, and Amazon Connect, significantly reducing agents’ manual workload by enabling automated responses to client queries.
  • Designed Lambda-triggered contact flows that integrate LLMs to process incoming queries, extract user details, and generate dynamic email replies in real time.
JavaSpring Boot

Thoughtworks

2 roles

Application Developer

Sep 2023Aug 2024 · 11 mos · India · Hybrid

  • Developed and deployed high-quality Java applications and end-to-end APIs using Spring Boot, emphasizing Object-Oriented Programming (OOP) and SOLID principles for robustness and efficiency.
  • Designed and implemented scalable backend solutions with gRPC, ensuring optimal performance and reliability.
  • Containerized applications using Docker and efficiently managed them through Kubernetes for seamless scaling and maintenance, minimizing operational complexities.
  • Created a Grafana dashboard integrated with Prometheus metrics to monitor application performance proactively, enabling issue identification and resolution.
  • Adhered rigorously to industry best practices, including clean code principles, Test-Driven Development (TDD), and pair programming, maintaining high code quality and fostering robust communication within the development team.
  • Spearheaded the development and implementation of CI/CD pipelines, expediting deployments and reducing deployment times for rapid project delivery and efficient project management.
  • Authored comprehensive unit, mutation and integration tests, resulting in expanded code coverage and highly reliable applications meeting stringent quality standards.
JavaSpring BootgRPCDockerKubernetesGrafana+1

Graduate Consultant Application Developer

Sep 2022Sep 2023 · 1 yr · India · Hybrid

JavaSpring Boot

Maq software

Associate Software Engineer

Sep 2021Aug 2022 · 11 mos

  • Managed ETL processes using Azure Data Factory, Data Lake Storage, SQL Server, and Azure Databricks, focusing on data ingestion and timed triggers.
  • Skillfully handled dependencies and complex scenarios using SQL stored procedures and algorithms, like topological sorting.
  • Optimized cluster performance and reduced costs by transitioning from interactive clusters to job clusters in ADF, resulting in 50% faster performance and cost savings.
  • Implemented advanced optimization techniques in Azure Databricks, such as data partitioning, Z-Ordering, and memory management, to improve execution speed and overall performance.
  • Created a custom validation framework that can run the critical validations which cannot be possible throughlibraries like great expectations.
Azure DatabricksMicrosoft SQL ServerSQL

Education

Northeastern University

Master's degree — Software Engineering Systems

Sep 2024May 2026

GL Bajaj Institute of Technology and Management

Bachelor of Technology - BTech — Computer Science

Jan 2018Jan 2022

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