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# Smit Shah

**Headline:** Senior Software Engineer @ Salesforce | Forward-Deployed Full-Stack & AI/LLM Engineer | Building Scalable AI Platforms & RAG Systems
**Profession:** Scrum Master
**Location:** Austin, Texas, United States

## About

Smit Shah is a Senior Software Engineer and Scrum Master at Salesforce, where he builds customer-facing, full-stack AI platforms and leads delivery in a forward-deployed engineering model. He is strongest in scalable AI and RAG systems, monolith-to-microservices modernization, cloud-native architecture, and translating ambiguous enterprise requirements into reliable production software. Smit integrates OpenAI and Anthropic Claude models into chat-based experiences, using AI agents, prompt orchestration, streaming responses, LangChain, and vector databases to ground outputs in enterprise data. He also brings hands-on expertise in React, TypeScript, Python, Java, Node.js, Spring Boot, Go, GraphQL, AWS, and fault-tolerant distributed-system patterns. At Salesforce, Smit architected an AI-powered platform serving more than 10,000 enterprise users led a major migration that improved scalability by 40% and reduced failures by 35% and improved sprint forecast accuracy from 60% to 80% while increasing delivery velocity by 15%. He mentors engineers in system design and architectural reasoning, emphasizing independent judgment and production readiness. Outside his engineering work, Smit volunteers as an information technology instructor, teaching programming fundamentals to more than 200 students from underserved communities.

## Highlights

- Architected and shipped a customer-facing, full-stack AI platform at Salesforce serving more than 10,000 enterprise users, with a React and TypeScript frontend Python, Java, and Node.js microservices and GraphQL APIs.
- Integrated OpenAI and Anthropic Claude models into production LLM workflows, including AI agents, prompt orchestration, and streaming responses for real-time AI interactions.
- Built production RAG pipelines using LangChain and Pinecone or Weaviate vector databases to ground AI outputs in enterprise data, supported by prompt-engineering and trust-and-safety evaluation frameworks.
- Led a monolith-to-microservices migration using Spring Boot, Go, and Node.js introduced circuit breakers, retry logic, and graceful degradation improved scalability by 40% and reduced failures by 35%.
- Led a team of four to five engineers on a major Salesforce migration project while serving as Scrum Master and mentor.
- Architected AWS cloud-native services and introduced caching, asynchronous processing, and performance tuning that reduced end-to-end latency by about 20%.
- Led frontend modernization from Angular to React and from JavaScript to TypeScript, improving developer productivity by about 30% and reducing UI-related defects by about 40%.
- Collaborated directly with enterprise customers on production deployments, technical troubleshooting, and system-design consultations, translating requirements into shipped features.
- Mentored more than five engineers through design reviews, architecture discussions, and production-readiness checks.
- Improved sprint forecast accuracy at Salesforce from 60% to 80% and accelerated delivery velocity by 15% through refined estimation and backlog grooming.
- Established sprint-planning, retrospective, and continuous-improvement practices that balanced delivery predictability with innovation velocity.
- Revamped an enterprise configuration UI with React and TypeScript, reducing configuration time by 30% and improving user satisfaction by 22%.
- Built Python automation tools and ETL pipelines processing millions of records with 99.5% accuracy.
- Created responsive React and D3.js visualizations and WCAG 2.1 AA-compliant dashboards that enabled sales teams to manage 50% more accounts.
- Improved workflow observability through metrics and logging, reducing production issues served as Test Master to stabilize test suites and improve release confidence.
- Built TypeScript and Node.js CLI and VS Code debugging tooling used by more than 1,000 engineers during a Salesforce internship.
- Designed CLI commands to reliably fetch and process debug logs across orgs, while increasing test coverage and eliminating error-prone internal-tool workflows.
- Extended Hangar, American Airlines’ open-source hackathon platform, with Discord integration that complemented existing Slack functionality.
- Developed Hangar REST API endpoints, comprehensive test suites, and bug fixes, and contributed to refactoring and feature development.
- Built a cross-platform Android and iOS mobile-app MVP for a nonprofit in 48 hours at JPMorganChase’s Code for Good Hackathon, with Google Hangouts API communication and Google Maps-based discovery.
- Selected as a Forbes Under 30 Scholar in 2019, representing The University of Texas at Dallas at a leadership summit on innovation and entrepreneurship.
- Selected as a Salesforce Campus Ambassador to support early-career recruiting and student engagement.
- Volunteers as an Information Technology Instructor at Stars on Earth, teaching Python, data structures, algorithms, and programming fundamentals to more than 200 students from underserved communities over more than seven years.
- Designed project-based coding curricula, led live Python workshops for 12 to 15 students per session, and mentored hackathon-style capstone teams from ideation to working solutions.

## Experience

- **Scrum Master at Salesforce** (2024-04-01–present) — Assumed dual-role Scrum Master while remaining hands-on technical contributor, improving sprint forecast accuracy from 60% to 80% and accelerating delivery velocity by 15% through refined estimation and backlog grooming practices • Facilitated cross-functional collaboration across engineering, product, design, and customer success teams, removing blockers and driving alignment on complex technical initiatives in high-ambiguity environments • Established engineering best practices for sprint planning, retrospectives, and continuous improvement, creating team rituals that balanced delivery predictability with innovation velocity
- **Senior Software Engineer at Salesforce** (2022-11-01–present) — Architected and shipped customer-facing full-stack AI-powered platform serving 10,000+ enterprise users, integrating Anthropic Claude and OpenAI models with React/TypeScript frontend, Python, Java, Node.js microservices, and GraphQL APIs for intelligent chat-based experiences • Integrated LLM-powered workflows \(OpenAI, Anthropic\), including AI agents, prompt orchestration, and streaming responses, enabling real-time AI interactions in production • Built production RAG pipelines using LangChain and vector databases \(Pinecone/Weaviate\) • to ground AI outputs in enterprise data, implementing prompt engineering strategies and • trust & safety evaluation frameworks that improved response accuracy and reliability • Led microservices migration from monolithic architecture using Spring Boot, Go, and Node.js, implementing fault-tolerant patterns \(circuit breakers, retry logic, graceful degradation\) that improved system scalability by 40% and reduced failures by 35% • Operated in a forward-d
- **Instructor | Information Technology Instructor \(Volunteer\) at Stars on Earth** (2018-02-01–present) — Volunteer instructor teaching computer science and programming fundamentals \(Python, data structures, algorithms\) to 200+ students from underserved communities through 7+ years of virtual and in-person workshops • Designed and delivered project-based coding curricula emphasizing problem-solving and computational thinking, leading live Python workshops \(12-15 students per session\) with hands-on instruction and debugging support • Organized and mentored students through hackathon-style capstone projects, guiding teams from ideation to working solutions while building technical confidence and practical skills
- **Software Engineer at Salesforce** (2021-01-01–2022-10-01) — Revamped enterprise configuration UI using React and TypeScript, reducing configuration time by 30% and improving user satisfaction by 22%, while building Python automation tools and ETL pipelines processing millions of records with 99.5% accuracy • Built responsive data visualization components using React and D3.js, creating WCAG 2.1 AA compliant dashboards that enabled sales teams to manage 50% more accounts through improved UI/UX • Partnered cross-functionally with platform teams to integrate services across multiple Salesforce surfaces in high-ambiguity environments • Instrumented key workflows with metrics and logging, improving observability and reducing production issues • Served as Test Master, stabilizing test suites and improving release confidence • Mentored new engineers through onboarding, codebase walkthroughs, and testing best practices
- **Software Developer at American Airlines** (2020-08-01–2020-12-01) — Contributed to Hangar, an open-source hackathon platform, extending Discord integration to complement existing Slack functionality, enabling event organizers to use either or both platforms for their challenges • Developed backend features including REST API endpoints, comprehensive test suites, and bug fixes that expanded platform capabilities and improved usability • Collaborated with cross-functional team on codebase refactoring and feature development, increasing Hangar's adoption potential across developer communities
- **Campus Ambassador at Salesforce** (2020-08-01–2020-12-01) — Selected as a Salesforce Campus Ambassador to support early-career recruiting initiatives and student engagement
- **Software Engineer Intern at Salesforce** (2020-05-01–2020-08-01) — Built and extended developer tooling using TypeScript and Node.js, improving CLI and VS Code debugging workflows used by 1,000+ engineers • Designed new CLI commands to reliably fetch and process debug logs across orgs, improving performance, reliability, and developer experience • Increased test coverage and eliminated error-prone workflows, turning internal tools into production-grade systems
- **Code for Good Hackathon at JPMorganChase** (2019-09-01–2019-09-01) — Selected for JP Morgan's Code for Good Hackathon, collaborating with a team to build a cross-platform mobile app \(Android/iOS\) connecting users globally based on shared interests • Implemented real-time communication features using Google Hangouts API and location-based discovery using Google Maps, delivering a working MVP for a nonprofit organization within 48 hours
- **Forbes Under 30 Scholar 2019 at Forbes** (2019-09-01–2019-10-01) — Selected as Forbes Under 30 Scholar representing the University of Texas at Dallas, participating in leadership summit focused on innovation and entrepreneurship

## Education

- Bachelor's degree, Computer Science — The University of Texas at Dallas (2017-01-01–2020-01-01)
- Associate's degree, Computer Science — Lone Star College (2016-01-01–2017-01-01)

## FAQ

### What does Smit do?

Smit is a Senior Software Engineer and Scrum Master at Salesforce. He builds scalable, customer-facing AI platforms and full-stack enterprise software, while helping teams plan, deliver, and continuously improve complex technical initiatives.

### What is Smit strongest at?

Smit’s core strengths include AI and LLM integration, RAG systems, full-stack development, system design, monolith-to-microservices migration, cloud-native services, fault tolerance, and forward-deployed engineering. He also leads through mentoring, Scrum practices, and cross-functional delivery.

### What has Smit accomplished as a Senior Software Engineer at Salesforce?

As a Senior Software Engineer at Salesforce, Smit architected and shipped a full-stack, AI-powered platform serving more than 10,000 enterprise users. The platform combined a React and TypeScript frontend with Python, Java, and Node.js microservices and GraphQL APIs to deliver intelligent, chat-based experiences.

### What AI and RAG work has Smit done at Salesforce?

Smit integrated OpenAI and Anthropic Claude into production LLM workflows, including AI agents, prompt orchestration, and streaming responses for real-time AI interactions. He also built RAG pipelines with LangChain and Pinecone or Weaviate vector databases to ground AI responses in enterprise data, alongside prompt-engineering and trust-and-safety evaluation approaches intended to improve response accuracy and reliability.

### What migration and distributed-systems work has Smit led?

Smit led a migration from a monolithic architecture to microservices using Spring Boot, Go, and Node.js. He implemented circuit breakers, retry logic, and graceful degradation, improving system scalability by 40% and reducing failures by 35%. He led a team of four to five engineers on this major migration project while serving as Scrum Master and mentor.

### How has Smit improved performance and engineering productivity?

Smit architected AWS cloud-native services and introduced caching, asynchronous processing, and performance tuning that reduced end-to-end latency by about 20%. He also led frontend modernization from Angular to React and from JavaScript to TypeScript, improving developer productivity by about 30% and reducing UI-related defects by about 40%.

### How does Smit work with customers and cross-functional partners?

Smit works directly with product managers, designers, stakeholders, and enterprise customers in a forward-deployed model. He translates ambiguous requirements into production features and supports customer production deployments, technical troubleshooting, and system-design consultations.

### What has Smit accomplished as a Scrum Master at Salesforce?

Smit is a hands-on Scrum Master in addition to being a technical contributor. By refining estimation and backlog grooming, he improved sprint forecast accuracy from 60% to 80% and accelerated delivery velocity by 15%. He facilitates collaboration across engineering, product, design, and customer success, removes blockers, and established practices for sprint planning, retrospectives, and continuous improvement.

### How does Smit mentor engineers?

Smit has mentored more than five engineers through design reviews, architecture discussions, onboarding, and production-readiness checks. His mentoring emphasizes system-design principles, architectural reasoning, and building independent engineering judgment rather than only reviewing implementation details.

### What did Smit accomplish as a Software Engineer at Salesforce?

Before becoming a Senior Software Engineer, Smit worked as a Software Engineer at Salesforce. He revamped an enterprise configuration UI with React and TypeScript, reducing configuration time by 30% and improving user satisfaction by 22%. He also built Python automation tools and ETL pipelines that processed millions of records with 99.5% accuracy.

### What other impact did Smit have as a Software Engineer at Salesforce?

Smit built responsive React and D3.js data-visualization components and WCAG 2.1 AA-compliant dashboards that enabled sales teams to manage 50% more accounts through improved UI and UX. He also integrated services across multiple Salesforce surfaces, added workflow metrics and logging to improve observability and reduce production issues, served as Test Master to stabilize test suites, and supported new engineers through onboarding and testing guidance.

### What did Smit do as a Salesforce Software Engineer Intern?

As a Salesforce Software Engineer Intern, Smit built and extended TypeScript and Node.js developer tooling for CLI and VS Code debugging workflows used by more than 1,000 engineers. He designed CLI commands to reliably fetch and process debug logs across orgs, improved performance and reliability, increased test coverage, and eliminated error-prone workflows to make internal tools production-grade.

### What did Smit do as a Salesforce Campus Ambassador?

Smit was selected as a Salesforce Campus Ambassador, supporting early-career recruiting initiatives and student engagement.

### What did Smit accomplish at American Airlines?

At American Airlines, Smit contributed to Hangar, an open-source hackathon platform. He extended its Discord integration to complement existing Slack functionality, allowing event organizers to use either or both platforms for challenges. He also developed REST API endpoints, test suites, and bug fixes, and collaborated on codebase refactoring and feature development to expand the platform’s capabilities and usability.

### What did Smit build at the JPMorganChase Code for Good Hackathon?

Smit was selected for JPMorganChase’s Code for Good Hackathon. Working with a team, he built a cross-platform Android and iOS mobile-app MVP for a nonprofit organization within 48 hours. The app connected users globally around shared interests and included real-time communication through the Google Hangouts API and location-based discovery through Google Maps.

### What recognition has Smit received from Forbes?

Smit was selected as a Forbes Under 30 Scholar in 2019, representing The University of Texas at Dallas at a leadership summit focused on innovation and entrepreneurship.

### What does Smit do at Stars on Earth?

Smit volunteers as an Information Technology Instructor at Stars on Earth. Across more than seven years of virtual and in-person workshops, he has taught computer science and programming fundamentals, including Python, data structures, and algorithms, to more than 200 students from underserved communities.

### How does Smit teach and mentor students?

Smit designs and delivers project-based coding curricula focused on problem-solving and computational thinking. He leads live Python workshops with 12 to 15 students per session, provides hands-on instruction and debugging support, and mentors hackathon-style capstone teams from ideation through working solutions to build practical skills and technical confidence.

### What is Smit’s educational background?

Smit earned a Bachelor’s degree in Computer Science from The University of Texas at Dallas and an Associate’s degree in Computer Science from Lone Star College.

### What leadership direction is Smit pursuing?

Smit is pursuing additional leadership opportunities because he has found that he can scale his impact through teams. His leadership approach centers on empowering engineers to make sound decisions independently, using data and engineering judgment to support better outcomes.

## Links

- LinkedIn: https://www.linkedin.com/in/smitshah98

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