Ananya P.

About Ananya P.

Software Engineer with 2.5 years of experience at Goldman Sachs, specializing in full-stack and back-end development, CI/CD, cloud infrastructure, and DevOps. Proven track record in managing large-scale systems, including a GitLab platform supporting projects. Expertise in Java, AWS, Terraform, Python, and cloud automation, with a strong focus on performance optimization, disaster recovery, security compliance, and system reliability. Skilled in deploying machine learning models, optimizing infrastructure, and delivering innovative solutions through collaborative teamwork.\"You have to trust that the dots will somehow connect in your future. You have to trust in something – your gut, destiny, life, karma, whatever. This approach has never let me down, and it has made all the difference in my life.\"- Steve JobsTECHNICAL SKILLS:Programming/Web: Java, Python, R, C++, C#, JavaScript, HTML, CSS, Agile, Git, Scala, React.js, Node.js, Ruby on Rails, Go, TypeScript, Kotlin, Flask, Django, Angular, Microservices, OOP, Design Patterns, GraphQL, REST APIs, TDD, BDD, Scrum, Spring Boot, D3.js, BootstrapCloud/DevOps: AWS (EC2, S3, RDS, Lambda, CloudFormation, API Gateway, Cloudwatch), Google Cloud Platform (GCP), Azure, Oracle Cloud Infrastructure (OCI), Terraform, CI/CD pipelines, Docker, Kubernetes, Jenkins, DevOps, Cloud Computing, AutomationTools/Databases/OS: SQL, MySQL, PostgreSQL, MongoDB, DynamoDB, Cassandra, Elasticsearch, Redis, Spark, Apache Kafka, Hadoop, Linux, Shell/Bash Script, JIRA, Postman, Swagger, Multi-Tenant Software Platforms, Prometheus, Grafana, Excel, Prompt Engineering, Apache Spark, Ubuntu, AWS GitLab, Android Studio, Eclipse, Unity 3DMachine Learning/AI: TensorFlow, PyTorch, ONNX, Deep Neural Networks (DNN), Generative AI, Large Language Models (LLMs), NLP, Conversational AI, Model Training, Model Evaluation, Data Preprocessing, Performance Optimization, A/B Testing, Error Analysis, pandas, numpy, sklearn, spaCy, NLTK, SVM, K-Means, DBSCAN, XGBoostTesting & Version Control: Selenium, JUnit, TestNG, Cypress, Jest, Mocha, Pytest, Git, GitHub, Bitbucket, GitLabHACKATHONS, ORGANIZATIONS & CONFERENCES:HackUTD (Sponsor).Women in Engineering (Goldman Sachs).Grace Hopper Celebration of Women in Computing (vGHC 2021).Society of Women Engineers (SWE).Women in Computer Science (WiCS ASU).Software Developers Association (SoDA).Google Developer Student Club (GDSC ASU).

Experience

1. Software Engineer

   高盛

   Jul 2022 — Present · US

   Managed GitLab infrastructure for 90K+ projects and 15K+ users; optimized CI/CD workflows for large-scale deployments to reduce build time and improve deployment reliability (AWS EC2, RDS, NFS, GitLab). Built scalable pipeline deletion automation processing 900K+ pipelines/day (162M+ total in 6 months), cutting upgrade time from 7+ days to 2 and improving throughput by 50%(Shell script, Java, GitLab API). Designed and developed reusable disaster recovery architecture using parallel GitLab environments and snapshots to restore deleted projects with 100% accuracy and reduced rollback latency by 20%(Shell, Ruby, Terraform). Developed real-time dashboards and alerting using Prometheus, Grafana, Cloudwatch, and PagerDuty, enabling faster root cause analysis and reducing mean time to resolution (MTTR) by 30%(Terraform, Python, GitLab, AWS). Developed automation to bulk migrate GitLab repositories from on-prem to AWS, using REST APIs with batching, pagination, and throttling, improving migration throughput by 10%(Python, REST APIs, GitLab API). Automated stale repository cleanup and cut storage bloat by 80%(Java, REST APIs, GitLab API). Automated AMI refresh pipelines with patch validation, and boot-time health checks, reducing build failures and increasing adherence to compliance policies (Bash, Terraform, AWS). Authored support documentation and tagging conventions to address recurring issues; reduced client tickets by 85% and enhanced audit traceability (Bash, Terraform, AWS). Collaborated cross-functionally with frontend, QA, infra teams and PMs in Agile sprints to deliver secure, scalable internal tools and improve operational efficiency (AWS EC2, RDS, NFS, GitLab).

Education

• Maharashtra Institute of Technology

  Bachelor's degree

  2015 — 2019

• Arizona State University

  Master's

  2020 — 2022