Open to Opportunities

Shefali
Saini

Software Engineer with 4+ years at Amazon, now interning at T-Mobile, specializing in distributed systems, cloud infrastructure & ML. Pursuing MS at San Jose State.

4+
Years at Amazon
1500+
Services Migrated
3.8
GPA at SJSU
Get In Touch View My Work
Shefali Saini
AWS Expert
Cloud & DevOps
ML & AI
TensorFlow & LLMs
About

Turning complex problems into
scalable solutions

Shefali Saini

Hi, I'm Shefali 👋

I'm a software engineer with over four years of experience at Amazon, where I worked across cloud infrastructure, platform modernization, and machine learning. I thrive at the intersection of building reliable distributed systems and leveraging data-driven automation to solve complex operational challenges.

I'm currently a Software Engineer Intern at T-Mobile, building a multi-tenant Claude Code platform on Kubernetes and Amazon Bedrock-powered recommendations for commerce.

Currently pursuing my Master's in Computer Software Engineering at San Jose State University with a 3.8 GPA, I'm passionate about expanding my expertise in enterprise software architecture and emerging AI technologies.

Infrastructure at Scale

AWS region expansion & platform modernization

ML & AI Integration

Traffic forecasting & GenAI adoption

Migration Expert

1,500+ services migrated to JDK 17

Lifelong Learner

MS at SJSU with 3.8 GPA

Experience

Where I've made an impact

4+ years of building, scaling, and modernizing systems at one of the world's largest tech companies.

Software Engineer Intern
T-Mobile
May 2026 – Present
WA, USA
  • Designed and deployed a multi-tenant Claude Code platform in Node.js/TypeScript and Python, accessible via a Web UI and Microsoft Teams (Entra ID + Graph API), with backend workloads orchestrated in Kubernetes pods.
  • Engineered platform reliability and security features: real-time WebSocket connection, GitLab OAuth, Playwright with automated branch management, stateful session checkpointing for restore, and token-based access control stored in the database.
  • Built an Amazon Bedrock-powered accessory recommendation pipeline for T-Mobile commerce, surfacing personalized suggestions at checkout via order hooks.
  • Automated environment provisioning by adding an Amazon EKS deployment stage to existing CI/CD pipelines.
Software Development Engineer
Amazon
Aug 2021 – Aug 2025
Hyderabad, India
  • Expanded HEX MAWS services to a new AWS region (ZAZ), provisioning core infrastructure — Orca workflow, Apollo, ASGs, ALBs/NLBs, VPCs, subnets, security groups, and CloudWatch — for new teams, boosting service coverage by 40%.
  • Modernized an internal dashboard by replacing DynamoDB metadata reads with real-time service APIs and lazy loading, reducing load time, stale data, and DynamoDB storage/read costs while preserving existing workflows.
  • Modernized platform by designing Java-based APIs, eliminating 45+ infrastructure risks per service (90K+ total), replacing legacy components, and transferring ownership to service teams.
  • Drove a migration campaign for 1,500+ services to adopt JDK 17, automating code reviews and actively supporting teams through successful migration.
  • Built Python ML models (Pandas, NumPy, scikit-learn, TensorFlow) to forecast traffic peaks; integrated with a Java backend workflow for automated EC2 scaling.
  • Automated alert pipelines (CloudWatch → SQS → Slack) to enhance operational visibility and reduce MTTR.
  • Onboarded customer tickets to GenAI TicketSummarizer, generating real-time summaries to improve efficiency.
  • Implemented Security Event Logging with 1-year encrypted S3 retention, least-privilege IAM controls, and CI/CD-managed compliance for secure, auditable service logs.
  • Led root cause analysis for Sev-1 Linux networking incidents in distributed systems, collaborating cross-functionally and implementing long-term fixes to prevent recurrence.
Software Development Engineer Intern
Amazon
Jan 2021 – Jul 2021
Hyderabad, India
  • Launched "Sync Data," an internal automation tool built with Java, JavaScript, and DynamoDB; tested with JUnit and Mockito, adopted by 2,000+ teams to streamline data workflows and reduce operational overhead.
  • Developed Bash scripts to automate infrastructure transfers and ownership validation for hostclasses.
  • Developed Bash scripts using curl to scrape internal web data and parse it for automation workflows.
  • Performed Linux-based systems debugging, analyzing TCP/IP behavior, latency, and concurrency issues to identify bottlenecks.
  • Built a Tampermonkey script using JavaScript, HTML/CSS, and DOM manipulation to inject custom UI, automating repetitive tasks and boosting developer productivity by 70%.
Software Intern
Amazon
Jan 2020 – Jun 2020
Delhi, India
  • Built an end-to-end Python ML pipeline to ingest real-time Twitter data, apply NLP techniques (tokenization, TF-IDF, feature engineering), and evaluate customer sentiment for a European locker facility launch.
  • Preprocessed 50K+ records with deduplication and feature engineering; built a React dashboard with FastAPI backend for real-time ML predictions.
Skills

My technical toolkit

A broad and deep stack spanning languages, frameworks, cloud platforms, and data tools.

Programming Languages

C/C++PythonJavaJavaScriptTypeScriptBash/ShellKotlinSwift

Tools & Frameworks

Spring BootSpring MVCReact / React NativeNode.jsSwift / SwiftUIPlaywright.NETGitJIRAAgile/ScrumMockitoJUnit

Cloud & DevOps

AWSEKSEC2LambdaSQSS3CloudWatchAmazon BedrockGCPDockerKubernetesLinuxJenkinsAnsibleTerraform

ML & Analytics

TensorFlowPandasNumPyFeature Engineeringscikit-learnPyTorchSciPyNLP

Networking & Databases

MySQLPostgreSQLMongoDBElasticsearchRedisKafkaDynamoDBTCP/IPDHCPRouting FundamentalsLoad Balancing (ALB/NLB)

AI Tools & Editors

CursorWindsurfClaudeClaude CodeCopilot
Education

Academic foundation

M.S. in Computer Software Engineering
San Jose State University
Aug 2025 – May 2027 · San Jose, CAGPA: 3.8 / 4.0
Relevant Coursework: Enterprise Distributed Systems, System Design, Data Mining, Enterprise Software Platforms, Data Structures & Algorithms, Operating Systems Design, Database Systems
B.Tech in Electronics & Communication Engineering
Indira Gandhi Delhi Technical University for Women
Aug 2017 – May 2021 · Delhi, IndiaGPA: 3.8 / 4.0
Relevant Coursework: Cloud Computing, Data Communication & Networking, Object Oriented Programming, Data Structures using C++
Projects

Things I've built

Personal projects that push boundaries in AI, cloud, and data engineering.

Safe Navigation Assistant
Built an AI-powered accessible navigation system at the NVIDIA Agents for Impact Hackathon (SJSU) that optimizes for safety instead of distance. Uses NVIDIA Nemotron models via NIM APIs for real-time obstacle detection (stairs, crowds, uneven paths), scores multiple candidate routes to pick the one with the fewest hazards, and guides visually impaired users step by step with proactive voice alerts.
PythonNVIDIA NIMNVIDIA NemotronComputer VisionOpenCVVision-Language ModelsAI AgentsPath PlanningText-to-Speech
Lumen – AI Powered Skincare Assistant
AI-powered iOS app with a serverless AWS backend (Lambda, API Gateway, S3, DynamoDB) secured via Cognito JWT authentication. Integrated ML and LLM pipelines (GPT-4o, Claude 3.5, RAG with Pinecone + Titan embeddings) with privacy-first data handling, and CloudWatch observability.
SwiftSwiftUIAWS LambdaCognitoOpenAI GPT-4oHugging FacePineconeLangChainDynamoDBTerraform
Solar Energy Estimation System
Processed and engineered time-series weather data from NREL and WWO using normalization, anomaly detection, and feature extraction. Built optimized LSTM-RNN models with Keras (lag features, dropout, tuning), evaluated using RMSE/R², and visualized results with Matplotlib.
PythonTensorFlow/KerasLSTM-RNNPandasMatplotlib
Contact

Let's connect

I'm always open to new opportunities, collaborations, or just a friendly chat about tech.

sainishefali05@gmail.com+1 408-396-4443LinkedInSan Jose, CA