Alok Rajpurohit — Software Engineer

My passion for software development has always pushed me to go beyond just writing code—to building systems that solve real problems, scale effectively, and create measurable impact. Over time, this mindset has led me to gain hands-on experience across full-stack development, backend systems, and now AI-powered platforms. Most recently, I have been working as Software Engineer II at Microsoft within the Power Platform (Business & Industry Copilot) organization. There, I focused on building and scaling AI-driven features in Power Apps, working extensively on backend systems, APIs, and data pipelines. I led the development of key features such as AI governance controls and a modern feedback platform on Microsoft 365—driving outcomes like a ~40% increase in user retention, a 50%+ increase in user feedback, and ~$2M in annual cost savings through improved data privacy and governance. Before Microsoft, I built a strong foundation through hands-on industry experience at Barclays and University of Phoenix, where I worked across Java, Spring Boot, React, and Next.js to deliver scalable web applications and improve system performance and user engagement. I enjoy working across the stack, but I’m especially passionate about backend engineering, system design, and building data-driven and AI-powered products that can scale to real-world usage. Looking ahead, my goal is to continue growing as a software engineer while taking on greater ownership in building impactful systems—and eventually evolve into a technology leader who can drive both engineering excellence and product innovation.

Stackforce AI infers this person is a SaaS and Fintech-focused Full-Stack Developer with strong backend engineering capabilities.

Location: Tempe, Arizona, United States

Experience: 3 yrs 3 mos

Skills

Backend Engineering
Full-stack Development
Automation Engineering
Backend Development
Frontend Development

Career Highlights

Led AI feature development at Microsoft, driving significant user retention.
Engineered scalable automation solutions, enhancing operational efficiency.
Architected robust systems for high-performance customer engagement.

Work Experience

Microsoft

Software Engineer II (1 yr 10 mos)

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Software Engineer (4 mos)

University of Phoenix

Application Engineer (2 mos)

Barclays

Full Stack Developer (1 yr 6 mos)

Education

Master of Science - MS at Arizona State University

Bachelor of Technology - BTech at SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

HSC (12th Grade) at Pace Junior Science College

ISCE (10th Grade) at Smt. Sulochanadevi Singhania School

Alok Rajpurohit

Software Engineer

Tempe, Arizona, United States3 yrs 3 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Led AI feature development at Microsoft, driving significant user retention.
Engineered scalable automation solutions, enhancing operational efficiency.
Architected robust systems for high-performance customer engagement.

Stackforce AI infers this person is a SaaS and Fintech-focused Full-Stack Developer with strong backend engineering capabilities.

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Skills

Core Skills

Backend EngineeringFull-stack DevelopmentAutomation EngineeringBackend DevelopmentFrontend Development

Other Skills

C#Node.jsTypeScriptReactNext.jsMicrosoft AzurePythonFlaskSelenium WebDriverJavaSpring BootReact.jsJUnitRedisPostgreSQL

About

Experience

3 yrs 3 mos

Total Experience

1 yr 7 mos

Average Tenure

1 yr 9 mos

Current Experience

Microsoft

Software Engineer II

Aug 2024 – Present · 1 yr 10 mos · Tempe, Arizona, United States · Hybrid

Built and scaled AI-powered capabilities within Power Apps, focusing on backend systems, infrastructure, and data pipelines to enable intelligent
features and data-driven decision-making, improving performance and user experience across the platform.
Designed and implemented a scalable telemetry API using C#, Node.js, TypeScript, and React, capturing user interaction signals across AI features,
contributing to approximately 40% increase in user retention and actionable insights for product strategy.
Led end-to-end development of tenant-level AI feature controls, architecting new infrastructure and APIs that enabled granular admin governance,
mitigated security risks, and saved around $2M annually in potential privacy or compliance violations.
Architected and delivered a modern survey platform on Microsoft 365, migrating from legacy Dynamics 365, rebuilding eligibility logic, authentication,
and telemetry pipelines, resulting in over 50% increase in user feedback collection and engagement metrics.
Owned AI feedback and analytics pipelines, developing dashboards and insights that informed product decisions, improved feature adoption across
Power Apps, and enhanced monitoring of AI feature usage, errors, and operational performance.
Utilized a diverse tech stack including C#, .NET, Node.js, TypeScript, React, Next.js, and Microsoft Azure, driving scalable, maintainable solutions while
collaborating across teams to deliver high-impact AI and platform innovations.

C#Node.jsTypeScriptReactNext.jsMicrosoft Azure+2

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Software Engineer

Jan 2024 – May 2024 · 4 mos · Tempe, Arizona, United States · Hybrid

Engineered an innovative automation bot to streamline online meeting processes across MS Teams, Cisco Webex, Google Meet and Zoom, enhancing efficiency of joining, recording and leaving meetings.
Developed the solution in Python, using Flask for the server and Selenium WebDriver for the automation, achieving a 33% reduction in manual meeting management tasks.
Adopted Agile methodologies, specifically the Scrum model, to dynamically adapt to project requirements, leading to a 25% improvement in sprint delivery times.

PythonFlaskSelenium WebDriverAutomation Engineering

University of phoenix

Application Engineer

Jun 2023 – Aug 2023 · 2 mos · Phoenix, Arizona, United States · Hybrid

Contributed to the development and enhancement of a Java based Spring Boot API for the university’s online portal, resulting in a 15% increase in backend performance and scalability.
Extended unit testing coverage with Junit for new and existing API endpoints, achieving over 90% code coverage and ensuring robust application reliability.
Collaborated on the development of the new student module on the front-end using React.js and Next.js, which improved the web portal’s student engagement and influx by more than 25%.

JavaSpring BootReact.jsNext.jsJUnitBackend Development+1

Barclays

Full Stack Developer

Feb 2021 – Aug 2022 · 1 yr 6 mos · Mumbai, Maharashtra, India

Architected Customer Analytics Platform using Python Flask microservices for large-scale event processing, collaborating with product and design
teams, ensuring low-latency, reliable customer engagement tracking, seamless interactions, and highly scalable, secure, fault-tolerant system.
Engineered asynchronous Support Ticket Event Processing services using Redis, AWS ElastiCache, and connection pooling, optimizing microservice
communication, reducing API latency by 15%, enabling high-throughput, event-driven processing for millions of concurrent tickets efficiently.
Designed fault-tolerant microservices with circuit breakers, service discovery, load balancing, and backend WebSocket support in Python, handling
50K+ concurrent events, improving platform scalability, resilience, and responsiveness for real-time agent-customer interactions across the system.
Implemented secure PostgreSQL database solutions, optimizing schemas, indexing, and queries, enforcing encryption-at-rest and in-transit, with
dynamic RBAC and JWT, reducing authentication incidents by 10%, ensuring data security, compliance, and efficient customer ticket management.
Built React dashboards for Operational Insights, integrating REST APIs and WebSockets, delivering real-time visualization of customer interactions,
campaign performance, support metrics, enabling informed operational decisions, improving monitoring efficiency, and actionable insights by 17%.
Integrated observability and monitoring using AWS CloudWatch and Grafana, tracking system health, event throughput, failures, enabling proactive
issue detection, reducing downtime, and improving reliability and platform performance for millions of global users simultaneously.
Collaborated with DevOps teams on global SaaS deployments using AWS CloudFormation, Helm charts, blue-green strategies, and deployment