Mansi Shinde

Software Engineer

Sunnyvale, California, United States3 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led integration of Skyflow's Privacy Vault at Walmart.
Reduced manual QA effort by ~40% with AI workflows.
Mentored engineers and drove best practices in AI tooling.

Stackforce AI infers this person is a Backend Engineer specializing in Distributed Systems and AI workflows within the SaaS industry.

Contact

shinde.mansi55@gmail.com LinkedIn

Skills

Core Skills

Distributed SystemsAgentic AiBackend EngineeringBig Data

Other Skills

Spring BootAgentic WorkflowsGCPPrivacy VaultTokenizationLLMKubernetesCassandraJavaSonarQubeMySQLAmazon Web Services (AWS)AWSApache SparkNVIDIA RAPIDS

About

Hi, I'm Mansi, a Software Engineer at Walmart with 4+ years of experience leading backend and distributed systems projects end-to-end. In my current role I've led the integration of Skyflow's Privacy Vault into Walmart's GCP ecosystem, re-architected a high-throughput data pipeline, and shipped agentic LLM workflows in production — including a Test Case generation system that reduced manual QA effort by ~40%. I also drive AI tooling adoption across my team, including internal developer tools built on Claude Code SDK that are changing how we write, test, and ship code daily. Outside of that, I enjoy mentoring colleagues, sharing knowledge, and driving best practices across the team — and staying curious about what's next at the intersection of AI and backend engineering. 📍 California · 🎓 MS CS, Purdue University

Experience

3 yrs 11 mos

Total Experience

1 yr 11 mos

Average Tenure

2 yrs

Current Experience

Walmart global tech

Software Engineer III

May 2024 – Present · 2 yrs · Sunnyvale, CA · On-site

𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝗩𝗮𝘂𝗹𝘁: Led end-to-end integration of Skyflow's Privacy Vault into Walmart's ecosystem, enabling secure tokenization and access controls. Partnered with Skyflow on GCP infrastructure setup — 3P VPC deployment, Private Service Connect for secure data transfer, active-passive DR across two regions (5-min RPO). Drove production onboarding of Vizio use case, resolving critical Spark SDK issues and building config-driven framework for cross-team adoption.
𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜: Led and implemented agentic AI workflows, including an AI Test Case Agent that reduced manual QA effort by ~40%. Led hackathon POC for Knowledge-Base-first hybrid LLM architecture — achieving >50% token reduction and ~30% latency improvement while improving output consistency.
𝗜𝗗 𝗘𝗻𝗿𝗶𝗰𝗵𝗺𝗲𝗻𝘁 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Re-architected high-throughput ID enrichment service (500K req/15min) on Kubernetes, migrating from relational DB to 3-node Cassandra cluster — reducing storage costs by 85% and batch latency by 80% (5hrs → 1hr).
𝗖𝗜/𝗖𝗗 & 𝗣𝗿𝗶𝘃𝗮𝗰𝘆 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Enhanced 5+ privacy pipelines (Java 8→17 migration, 80% code coverage, SonarQube); cut deployment effort by 50%, accelerated releases by 80%.
𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: Mentored 4+ engineers on CI/CD best practices; managed intern through full SDLC leading to full-time conversion. Authored org-wide AI development best practices guide covering Claude Code SDK-based tools (Wibey, Code Puppy, Dengy) — 150+ unique readers, 300+ views, praised by leadership and adopted as org-wide standard reference.

Spring BootAgentic WorkflowsDistributed SystemsAgentic AI

Amazon web services (aws)

OpenSource Contributor

Sep 2023 – Nov 2023 · 2 mos · Remote

Contributed to AWS OpenSearch's Index Management Dashboards - added sortable columns to improve navigation UX and refactored 50+ terminology instances for documentation consistency. Merged contributions visible in the opensearch-project GitHub repo.

Purdue university

Graduate Assistant

Apr 2023 – May 2024 · 1 yr 1 mo · West Lafayette, IN · Hybrid

Built and maintained internal administrative tools for Purdue's Mechanical Engineering department - automating TA nomination and area exam registration workflows, reducing manual processing time from days to minutes for 20+ faculty and 200+ students (~80% effort reduction).

MySQLAmazon Web Services (AWS)Backend Engineering

Walmart labs india

2 roles

Software Engineer

Aug 2020 – Jul 2022 · 1 yr 11 mos · Bengaluru · Hybrid

𝗚𝗿𝗼𝘀𝘀 𝗠𝗲𝗿𝗰𝗵𝗮𝗻𝗱𝗶𝘀𝗲 𝗩𝗮𝗹𝘂𝗲: Built data pipeline calculating GMV across walmart.com using NVIDIA RAPIDS framework — achieved 30% performance improvement while consistently meeting SLAs.
𝗜𝘁𝗲𝗺 𝗜𝗺𝗽𝗿𝗲𝘀𝘀𝗶𝗼𝗻𝘀: Designed Apache Spark-based item impressions pipeline using Dataproc and Airflow, achieving 50% cost reduction. Led team of 5-6 engineers to roll out pipeline across multiple walmart.com page types.
𝗗𝗶𝗴𝗶𝘁𝗮𝗹 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗶𝗼𝗻: Built Spring Boot APIs and React dashboards for customer experience analytics; redesigned data pipelines from Hive → Spark for 30% performance improvement; leveraged Druid for near real-time insights.

Spring BootApache SparkDistributed Systems

Data Engineer Intern

May 2019 – Jul 2019 · 2 mos · Bengaluru, Karnataka, India · On-site

Built and automated data pipelines using Bash and Hive for Walmart's Data Lake.
Facilitated historical data migration from private data centers and conducted Clickstream data analysis for production deployment. Worked with HDFS, MapReduce, and YARN in large-scale Big Data environments.

Distributed SystemsHiveBig Data