Manish Podiyal

Hi there, I’m Manish Podiyal 👋

About Me

• 🔭 I’m currently working on translating my expertise in designing scalable distributed systems into practical examples that make advanced concepts more accessible to practitioners.
• 🌱 I’m learning new things every day! Recently, I’m focusing on maximizing the value of AI integrations within existing products, harnessing its potential to drive real improvements and enhance user experience.
• 👯 I’m open to collaborating on any ideas that require technical expertise and can make a meaningful impact on people’s lives!
• 💬 Ask me about system design, distributed systems, cloud solutions, software architectures, design patterns, object-oriented design (SOLID), and of course, cooking! :)
• 📫 How to reach me: manishpodiyal@gmail.com or
• ⚡ Fun fact: Outside of coding, I like to cook, and while my dishes often taste alike, I proudly call it my trademark flavor! 😉

Connect with me

Skills

Backend Development

• Languages: Node.js, JavaScript, TypeScript, Python
• Frameworks: NestJS, Fastify, ExpressJS, FastAPI
• APIs: REST, GraphQL

Database Management

• NoSQL Databases: MongoDB, DynamoDB
• SQL Databases: MySQL, PostgreSQL

Cloud Computing

• AWS Services: AWS Lambda, SNS, SQS, API Gateway, ELB, ECS, EKS, RDS, S3, EC2 and others
• Google Cloud: Google Cloud Functions, Google Compute Engine, Google Cloud Storage, Google Cloud Endpoints, Cloud SQL, Google Cloud Pub/Sub

Messaging & Caching

• Tools: SQS, Apache Kafka, AWS ElastiCache, Redis

Frontend Development

• Frameworks: ReactJS, Redux, Next.js, AngularJS/Angular

Testing & Quality Assurance

• Tools: Jest, Enzyme, React Testing Library, Cypress

Software Architecture

• Patterns: Microservices, Serverless, Event-Driven, SOA, Multi-Tenant

CI/CD & Infrastructure as Code

• Tools: GitHub, Jenkins, GitHub Actions, Docker, Terraform, AWS CodePipeline

Monitoring & Observability

• Tools: AWS CloudWatch, Prometheus, Grafana, New Relic

Development Methodologies

• Agile/SCRUM, TDD, BDD

Additional Technologies

• WebSocket, Amazon Chime, FFmpeg, OEmbed APIs, SmartLook, Onfido

Projects

Experimental R&D initiatives focused on large-scale, high-load systems.

- Online Marketplace (WIP)

Experimental testbed for scalability and faceted product search — initially seeded with 5M products, architected to scale without breaking.