Sanjay Kapilesh

React, TypeScript, Express, Node.js, MongoDB, AWS Lambda, Snowflake, Kafka, dbt, Terraform, Azure DevOps, Radix UI

• Migrated the AI commentary engine (auto-generates client-facing notes from in-app studies) off Databricks to a serverless AWS stack — API Gateway, Lambda, and Aurora — the application's first microservice, cutting run cost ~90% (£1,000 to £100/month) and adding multi-region reliability.
• Built out a Kafka pipeline streaming production data from MongoDB to Snowflake, contributing dbt models and writing the Terraform that manages the Snowflake infrastructure — now the data foundation reshaping how the business uses its data.
• Built the team's Azure DevOps CI/CD pipeline for the Snowflake data platform's Terraform infrastructure, end-to-end: Checkov security scanning, then plan, then a gated apply promoting to staging and production by branch — replacing manual changes with on-demand deploys and lifting infrastructure code quality across the team.
• Owned a bulk campaign-management tool end-to-end over a 250k-activity dataset growing +25k/month: scoped with product and stakeholders, introduced the Adapter pattern and custom MongoDB aggregation strategies for fast lookups — now in daily use across the insight and finance teams.
• Took over and fully owned the Creative Workflow feature, replacing scattered spreadsheet/email processes with one system handling ~40k creative workflows a year, with in-app chat and user-configurable file-validation rules.
• Rewrote hot data-processing paths from application-layer JavaScript into MongoDB aggregation pipelines, running up to 2.5x faster on heavy workloads.
• Built a client-facing dynamic PDF system on React-PDF, introducing a composition pattern (still the company standard) that renders entirely client-side — zero server load — from reusable templates.
• Established the company's reusable AG Grid pattern for high-density, async-editable data grids with full audit logging — adopted widely and later the foundation for the campaign-management tool above.
• Define frontend engineering standards and review peers' code, partnering with product and stakeholders from scoping through production release.

Kotlin, Android, Express, MongoDB, Retrofit, JWT

• Built the native Android application in Kotlin for a farmer-focused platform (deployed for the client and still in use), including a Reddit-style social system for users.
• Engineered the Express/MongoDB backend to integrate with ML systems, wiring multiple microservices via Retrofit with JWT authentication.

React, Vue, Next.js, React Query, Redux, Zustand, Chakra UI, React Native, Express, Python, Django, PostgreSQL

• Built the company's design system on Chakra UI, tailored to client requirements — it became the starting point for every new project and standardised UI delivery across teams.
• Authored a custom form-handling library extending React Hook Form to company patterns, plus a shared custom-hooks library — both adopted across the company's apps to cut boilerplate and speed delivery.
• Built a music-course mobile app in React Native — 500k+ downloads on the Play Store — with an offline-first architecture (Android Room) and a WebView bridge for native-to-web communication; also contributed to its Python/Django backend.
• Engineered an HRMS platform in Django with a multi-tenant data model, role-based access control, and an offline-first approach for uninterrupted service.
• Built a server-side-rendered (SSR) course application to improve SEO and user experience.
• Led a small team with direct reports and owned CI/CD for a 10-person team across Jenkins (AWS EC2), Netlify, and Vercel — enabling deployments on demand.

• Built CMS/CRM platforms (20k+ users) for travel and learning clients using React, Angular, and Django, with a focus on accessibility (WCAG) and third-party integrations (Google Maps SDK, live video/chat).

University of Sheffield, UK, MSc Advanced Computer Science | Sep 2022 - Sep 2023

Key modules: The Intelligent Web, Text Processing, Software Development for Mobile Devices, OOP & Software Design, Software Reengineering, Parallel Computing with GPUs

B.Tech Computer Science | 2018 - 2022