Yash Amol Kankal
I'm a Full Stack Developer with a deep focus on building backend systems that scale, from real-time architectures to event-driven microservices on AWS. I design and ship REST and GraphQL APIs in TypeScript, Node.js, Python (FastAPI), and Java, backed by PostgreSQL, Redis, and Elasticsearch, with infrastructure managed through Lambda, ECS, S3, and CloudFormation.
On the frontend, I build fast, responsive interfaces with React and Next.js, and extend that to native mobile with Kotlin (Jetpack Compose) and SwiftUI. Currently shipping across the full stack at DriverAI.
I hold an MS in Information Technology from Arizona State University and have shipped production software across India and the US.
02 / Stack
Technical Skills
03 / Experience
Work Experience
DriverAI
CurrentSoftware Engineer
Jan 2026 – Present
Tempe, AZ / Remote
- Architected a distributed real-time backend system using WebSockets and Redis to synchronize state across mobile clients under variable network conditions, reducing perceived latency by 40%.
- Engineered scalable backend APIs using FastAPI and PostgreSQL with schema validation, rate limiting, and centralized exception handling, reducing API response latency by 25%.
- Built a mobile-to-ML inference pipeline capturing live camera frames via CameraX and transmitting them to backend ML services for real-time product recognition, enabling automated visual identification across Android and iOS clients.
- Automated AWS infrastructure provisioning (RDS, S3, Lambda, App Runner) via GitHub Actions CI/CD pipelines, eliminating manual deployment steps and reducing provisioning overhead by 40%.
- Applied algorithmic reasoning to optimize in-memory state propagation and real-time update flows across distributed mobile and web clients, improving feature delivery velocity by 30%.
- Developed unit and integration tests for backend APIs and real-time session workflows, improving system reliability and reducing post-release regressions.
Pangian
Full Stack Developer Intern
Jul 2025 – Aug 2025
Remote, USA
- Designed scalable backend APIs using Node.js, Express.js, and TypeScript with PostgreSQL and Prisma ORM; applied query optimization and Redis caching to reduce API response latency by 30% under high-concurrency workloads.
- Automated CI/CD pipelines using AWS CodePipeline, GitHub Actions, and CloudFormation infrastructure-as-code, eliminating manual deployment steps and reducing release cycle time across multiple environments.
- Developed React.js and Next.js frontend features integrating secure REST API contracts to improve maintainability across shared application workflows.
AppWelt Pvt. Ltd
Full Stack Developer
Oct 2021 – Jun 2023
Nagpur, India
- Engineered and scaled 12+ production microservices using Node.js, Express.js, and TypeScript; deployed on AWS EC2 and ECS with Docker-based CI/CD pipelines, improving release velocity by 15%.
- Improved database throughput by 40% under peak load through PostgreSQL query optimization, index restructuring, and MongoDB aggregation pipeline tuning for backend-heavy workloads.
- Developed React.js and Next.js frontend components integrated with backend APIs, reducing page load time by 35% and increasing session duration by 20% through Redis caching and Elasticsearch indexing.
04 / Projects
Recent Projects
Web Apps
01↗Video Sharing Platform
Full-stack video platform with backend-first architecture. RESTful APIs for upload, playback, auth, and search. AWS S3 pre-signed URLs supporting 100+ concurrent streams. Real-time streaming analytics via Kinesis, sub-second search via Elasticsearch, and AI-powered video suggestions based on user mood.
02↗CuedUp - Your Movies Hub
IMDb alternative for browsing ratings, trailers, cast and crew for any movie. Built with React 19, Vite, and React Router v6. Fetches live data from TMDB API across 8+ endpoints. Zero backend, zero state-management library, all state lives in URL params or local useState keeping the bundle tiny.
03↗AI Health Chatbot
Full-stack AI-powered health assistant with calorie tracking, meal logging, and personalized nutrition workflows. Integrates OpenAI API for recipe recommendations and context-aware guidance through a conversational interface.
Mobile Apps
04AndroidSnyder News
Offline-first Android news aggregator pulling from two live APIs simultaneously, deduplicating articles before saving to a local Room database. Features an on-device NLP pipeline that auto-tags articles and generates AI summaries on every background sync without an external API. Liquid-glass design system built entirely in Jetpack Compose with frosted card surfaces, gradient borders, and aurora mesh backgrounds.
05iOSSnyderSpend
AI-powered expense tracking iOS app with real-time cloud sync across sessions. GPT-4o analyses actual spending data to deliver personalised insights, predictions, and saving opportunities. Auto-categorises every expense using AI so nothing needs to be tagged manually. Built with SwiftUI and Apple's Liquid Glass design language for a polished native feel.