Prateek Jaiswal

CTO

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates9 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Led development of high-traffic payment platforms.
Achieved 99.99% uptime handling millions of transactions.
Mentored junior developers and established coding standards.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and SaaS with extensive cloud computing expertise.

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Skills

Core Skills

MicroservicesCloud Computing

Other Skills

API GatewayAWS LambdaAgiAgile EnvironmentAlgorithmsAmazon Web Services (AWS)AndroidAndroid DevelopmentAndroid StudioApache KafkaAthenaBuilding Leadership TeamsChatGPTCloud ApplicationsCode Review

About

Backend Engineer with 8+ years of experience building scalable microservices, APIs, and cloud-native systems using JavaScript, Node.js, Express.js TypeScript, and GCP/AWS. I’ve led development of high-traffic services like payment platforms, user systems, and communication layers, handling millions of transactions with 99.99% uptime. Skilled in Docker, Kubernetes, Redis, and CI/CD. I focus on clean code, system design, and performance optimisation. Passionate about mentoring and leveraging tools like Cursor AI and ChatGPT to boost developer productivity and code quality.

Experience

9 yrs 4 mos

Total Experience

3 yrs 1 mo

Average Tenure

4 yrs 7 mos

Current Experience

Classplus

3 roles

Lead Engineer

Oct 2023 – Present · 2 yrs 8 mos · On-site

● Designed and deployed scalable microservice architecture, migrating from monolithic systems, improving deployment speed by 30%, and enhancing system performance and modularity using Docker, Kubernetes, and CI/CD pipelines.
● Owned and managed various microservices including Payment Management, User Management, Invoice, Communication, and Whitelabel Services, ensuring seamless integration, scalability, and high system performance.
● Designed a multi-gateway Payment Service(Razorpay, PhonePe, Tazapay) processing 20M+ monthly transactions with 99.99% uptime and 30% faster settlements.
● Established and enforced coding standards, conducted thorough code reviews, and implemented unit testing practices, leading to a 60% lowering of reported bugs and enhanced code quality.
● Leveraged Redis for multiple system-level features including rate limiting, session management, background job queues, and Pub/Sub messaging for real-time event processing.
● Oversaw the full project lifecycle from requirement gathering to production deployment.
● Mentored junior developers, established best practices for code reviews and testing.
● Tech-forward developer with experience leveraging Cursor AI and ChatGPT to improve development velocity, code quality, and system design efficiency.
● Implemented vernacular language support, enabling multi-language content delivery and improving accessibility for diverse learners across regional languages.
● Built real-time event delivery system with Kafka and Pushpin (WebSocket/SSE) handling millions of concurrent updates with sub-second latency.
● Integrated gRPC for inter-service communication, reducing payload size and API latency, improving internal API throughput by 45%.
● Developed FFmpeg-based transcoding pipelines on GCP for adaptive HLS/MP4 streaming and CDN delivery, enabling scalable video playback for ed-tech content.
● Collaborated with product, design, frontend, and QA teams to deliver real-time, cross-platform feature updates.

NodejsTypeScriptGoogle Cloud Platform (GCP)Google Kubernetes Engine (GKE)Software Development Life Cycle (SDLC)Microservices+1

Lead Engineer

Promoted

Apr 2023 – Present · 3 yrs 2 mos · On-site

NodejsTypeScriptGoogle Cloud Platform (GCP)Small Team ManagementSoftware Development Life Cycle (SDLC)Microservices+1

Senior Software Engineer

Nov 2021 – Apr 2023 · 1 yr 5 mos · On-site

Representational State Transfer (REST)MicroservicesJavaScriptNodejsMySQLAmazon Web Services (AWS)+4

Vectoscalar technologies private limited

2 roles

Senior Software Engineer

Jun 2020 – Nov 2021 · 1 yr 5 mos

Representational State Transfer (REST)CommunicationMicroservices

Software Engineer

May 2019 – Jun 2020 · 1 yr 1 mo

● Developed and deployed modular backend services for Orders, Payments, Cart, and User Management using Node.js, AWS Lambda, and API Gateway — enabling zero-downtime deployments and rapid feature iteration across 1M+ active users.
● Optimized MySQL schemas and Redis caching, reducing API latency by 40% and improving concurrency under high traffic spikes.
● Engineered payment reliability workflows with Razorpay integration, ensuring idempotent, retry-safe transactions and cutting failures by 20%.
● Implemented Elasticsearch-backed product search, boosting query relevance and product discovery by 15%, directly improving GMV and session time.
Envision Healthcare (US Healthcare Platform)
● Built serverless ETL pipelines (AWS Lambda, S3, Athena) for Envision Healthcare to process 100K+ EDI files/day, accelerating claim reconciliation by 50% and improving billing accuracy by 30%.

Representational State Transfer (REST)CommunicationMicroservicesAWS LambdaAmazon Web Services (AWS)Node.js+2

Novasys labs

2 roles

Software Engineer

May 2017 – Apr 2019 · 1 yr 11 mos

Representational State Transfer (REST)Communication

Android Developer Intern

Jan 2017 – May 2017 · 4 mos

Android
1) Started development from scratch of InUni Android Applications which are currently live in different Cities and States in India.
2) Implemented ExoPlayer in android application which can play live streaming, mp4 etc with Full Screen Support.
3) Implemented YouTubePlayerApi in android application with Full Screen Support.
4) Implemented Firebase Push Notification, Database, Storage and Mobile Authentication.
5) Implemented UGC(User Generated Content) feature for user who can upload video, image, text, and gif posts.
6) All types of notification implementation in app.
7) Flurry integration in application for analytics.
8) UI development.
NodeJs Server
1) Implemented YouTube Data API (v3) Subscribe to Push Notifications supports via PubSubHubbub. A server-to-server publish/subscribe protocol for Web-accessible resources, which is much more efficient than polling-based solutions.
2) Build a system which extract data from Facebook Graph API push that data in Neo4j Database.
3) Build a system which extract data from YouTube Data API (v3) push that data in Neo4j Database.
4) Build a system which parse HTML and RSS into JSON format and push all Data in Neo4j Database.
5) Build Rest API for android application.
Cloud Platforms
1) Worked on AWS for the deployment of NodeJs using AWS CLI.
2) Worked on AWS EC2 and Elastic Beanstalk Instances and access them Locally using Putty and Make changes in Server configuration.
3) Used Cloud Foundry cli to deploy NodeJS servers as a service on IBM Bluemix.
4) Used Google Cloud cli (gcloud) for deployment on Google Cloud Platform.