
Senior Backend Engineer with hands-on experience designing and scaling agentic AI systems and cloud-native microservices in the fintech domain.
Currently contributing at Alpha Trade AI, where I build intelligent agents for real-time market data ingestion, sentiment analysis, and trading insights.
I specialize in translating complex user queries into actionable intelligence using LangGraph, CrewAI, FastAPI, and Node.js, backed by AWS ECS, Docker, and CI/CD pipelines. My work focuses on scalability, low-latency systems, and production-grade AI orchestration.
Core strengths:
• Agentic AI & LLM orchestration
• Backend system design & APIs
• Cloud-native microservices (AWS)
• FinTech & trading intelligence systems
Passionate about building reliable, intelligent automation systems that operate at scale and deliver measurable business impact.
Senior Backend Engineer
Alpha Trade AiSDE1
Alpha Trade AiSoftware Engineer
In Time TecMachine learning and Artificial intelligence Training
FutureSkills PrimeJunior Software Engineer trainee
In Time TecJunior Software Engineer
In Time TecNode.js

React

MongoDB

ReactJS
C++

RFID

Express

SOAP API

AWS SDK

REST APIs

Redux
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JWT

AWS S3
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Docker

TypeScript

Angular

HTML

CSS

Express.js

SQL Server

MySQL

Mocha

Jest

Git

GitHub

Bitbucket
Jira

Agile Methodology
You're welcome.
My name is Gaurav Singh. Currently, I am working at Temtec as a software engineer. I work as a Node.js developer. I work on three projects in this company. The first one is creating a desktop application using Node.js, Angular, and Electron.js. My role was to create a desktop-based application. The UI part was taken care of by Angular, and the backend was Node.js. We used Electron.js for creating the desktop application and framework. The business logic in the backend involved calling C++ DLLs like APIs. We needed to call those through Node.js. The data came from the C++ DLL, and we needed to throw it on the UI, on the desktop-based application. We have created this application for all the OSes, including Linux, Mac, and Windows. We have also created a CI-CD pipeline for creating the package for that. Another project was creating a trading website, just like a trading journal. A trading journal means users record their past trades. We had a visualization picture of that, showing what they did in the past. We showed a pictorial representation of the last trader's activity. We had some graphs showing what they did, whether they incurred a loss or profit, and we had some data on that. We also added a chatbot API. The chatbot had all the data the user had traded. If the user wanted to get a suggestion from the chatbot, they could ask any question, like what trade they should do right now, whether they should trade or not, which company they should buy from, and which stock market to use. The user could ask all these questions via the chatbot. The third project we created is WebSDK. This is basically configuring RFID devices. We are working with a company called RFIDs, which creates devices for configuring devices. Previously, they had desktop-based applications, but not web-based applications. In desktop applications, it's easy to send distributed features, but on the website, it was a difficult task. I created the whole diagram and visualized a picture of that. We have created that. Right now, I'd like to talk about the business logic we used. However, we can also configure RFID devices using websites. We have WebSDK, which we can use to create a website according to our customer's requirements. This is my side. Thank you.
So yeah, basically optimizing WebSocket connections in a full-stack Node.js application involves improving performance, scalability, and resource efficiency both on the server side and client side. So there are some strategies we can apply to optimize WebSocket connections. Like first, limiting idle connections. So what is this like set? This is the part of connection management, limiting idle connections, setting timeouts, or a heartbeat mechanism to detect and close inactive WebSocket connections and failing the source on the server. So and second, we can do connection pooling. So what is this like reducing the number of WebSocket connections by reusing them, especially possible for multiple client connections from the same machine. And other is implementing backup and retry mechanisms. So like exponential backup, the retry mechanism on the client side to handle any connection attempts in the case of dropped WebSocket connections. And like second one is message optimization. So message optimization means bundling multiple messages together into one WebSocket frame to reduce the overhead of sending multiple small frames. Third one is load balancing and scaling. So we also scale WebSocket connections using horizontal scaling. We use a load balancer, like Nginx and HAProxy and Apache, with the help of sticky sessions to ensure WebSocket connections are routed to the same server instance. And like another is resource efficiency, like limiting connection counts. We can add implementing a connection limit per user IP address. And another is efficient data transmission, like sending only efficient data, rate limiting, and forcing a rate on WebSocket messages to prevent malicious clients from overwhelming the server with exclusive traffic. And like security optimization, we can add SSL and TLS certificates. Yes, that's it.
How do you manage cross-component? How do you manage cross-component? How do you manage cross-component? How do you manage cross-component? How do you manage cross-component? How do you manage cross-component? How do you manage cross-component?
I'm not sure what to make of this. Can you please provide the rest of the transcript or some context so I can assist you better?
How do you handle handling the transitional operation in the node-based method and ensuring the data consistency and integrity, especially in the scenario involving multiple operations that must either succeed entirely or fail entirely. So in Node.js, this is typically done with the context database and support transactions like SQL database and no SQL database like MongoDB with multiple document transactions. So there are some steps like I am using for this. So let's suppose a SQL database like PostgreSQL or MySQL, which support transactions but are not out of the box with Node.js, you can use a package like pg for PostgreSQL. So in this case, we are having some commands, some SQL commands like begin, start a transaction, SQL queries, execute inside the transaction, commit, and this is a full transaction to persist the changes, rollback is used to revert all the operations in the case of an error, ensuring atomicity. This is some example I am explaining to you with the help of that. So this is for handling transactions in MongoDB, like let's suppose I am taking you to a database MongoDB, okay? So in MongoDB, support multi-document transactions from version 4.0.9 as I understand, but it's required some replicas to support full transaction support, transactions in MongoDB work similarly to SQL databases. And like an example, MongoDB uses Mongos and there are some managing parts of that, and another best practice for managing is to use proper error handling so that we can use exception handling, try-catch, and finally, and like we should keep transaction support, so managing work done within a transaction. Sorry, we need to use appropriate isolation levels, like read committed, repeatable read, and serializable, and logging or audit, we can add implement retry logic there. So and handling transactions across multiple servers. So this is the most tricky part. So like if our application is working with multiple microservices, implementing distributed transactions becomes more complex. So there are some platforms like two-phase commit and two-phase commit like Saga pattern. So these are the parts of things while with the help of that we can handle that part.
The last steps. The last steps were completed. I did complete the restoration. Restoration was okay. Restoration was okay. The method object was incorrectly structured. It needed to properly include the face data method. So, let me explain the fixes. First, the data function. The data must be written in an object. In this case, initialize data to null. Okay, in correct brackets, the closing brackets and colons are fixed to match the proper JavaScript syntax. The method object now correctly contains a face data method, which uses the async keyword to perform the API calls asynchronously. So, this fixed version should have worked as intended, where face data can fetch the data from the API and store that in the data property. That's it.
I need to look over here. This is not... This is not the way it's supposed to be. Can I give you a moment? Let me just... Let me start again. Okay. There are some like... In Vue. Like... Okay. In Vue.js, Piano and StateStore functions are suited on a new instance of the state for each component or store instance that uses it. So if a state object is directly assigned and not wrapped in a function, it will share across all instances. This causes state leakage where changes in one instance of the content store affect another instance unintentionally. This is a correct example. So correct queries look like... The state is already correctly wrapped in a function. So there are some logics and... So let me check once again. Defining the mystore. The mystore part. This is the PNS2 definition. Mystore is a unique name of the store, acting like an identifier of the store across your application. Inside that second argument, you can define the store state at sense. State items are like... State items inside that... Is incorrect. The state is defined as a function written in the object, returning a new object. Each component or instance using the... Using this store will get its own dependent copy. And especially the state object contains the property item, which is an array initialized with 1. This is the key point here.
Okay, so basically optimizing server-side rendering application in Nest or improving SEO involving multiple strategies to enhance the page load speed. So first one is the metatag or head. Nest makes it easy to manage metatags like titles and other elements dynamically, which are critical for SEO. So ensure that when you are creating or managing metatags or head, you include the meta description, canonical URLs, and social media metadata like Twitter, Facebook, graphs, and open graphs, for better indexing on sharing. So, the second one is the lazy loading of components. Improving the page load time by lazy loading components and images, especially for content above the fold, and lazy loading components dynamically import the component to only load them when needed. So, faster loading speeds improve user experience, which is forever favored by search engines and will positively affect your search ranking. And optimizing page load performance, yes, so page speed is crucial, a critical SEO factor in this SSR application, optimizing the initial load time and can significantly impact performance metrics like Largest Contentful Paint, FCP, and content footprint. In NestJS, image optimization uses a module like NestJS images to optimize. So, this is the very important part of NestJS, which automatically splits code into smaller bundles. However, to minimize the load of third-party libraries, load them only when necessary. And minify CSS, JS, like there are some minification options in Nest, enabling optimizing options in Nest. So, in that, we can use Nest to fully static page, hybrid board. For pages that don't need dynamic data, use pre-rendering with the Nest generate command to generate static HTML files. This can greatly improve SEO since search engines prefer fast-loading static content. So, we can also use schema markup, and it's also a good idea to use a mobile-friendly design for optimizing that, and configure this assignment.
Benefits of using microservices, there are many benefits for microservices. Microservices allows for scaling individual services independently. Node.js being lightweight and event-driven is well-suited for microservices. For example, if certain services like user authentication or payments require more resources, you can scale just that service without affecting the entire application. If that service fails, it will fail without affecting the whole application. This is scalability. Another benefit is modularity and maintainability. Breaking the application into smaller, independent services leads to better modularity. This makes it easier to develop, test, and maintain each service independently, which is crucial for larger and complex applications. Another benefit is technology-based. In microservices architecture, different services can be built using different technologies. While the core of the backend might use Node.js, you can write specific services in languages like Python, Java, or use high-performance services and depend on them. Microservices also enable fast development and deployment. Smaller teams can work on individual services concurrently without conflicting with Node.js and its fast development cycle and vast package ecosystem, like NPM, to enhance the speed of development for individual services. Another benefit is fault isolation. Since services are decoupled, failure in one service doesn't bring down the entire application. Each service can fail independently without cascading to other services. This is improved fault tolerance. Microservices are also easy to integrate with CI-CD pipelines because individual services can be deployed and tested independently with their fast startup times. When structuring the backend of NestJS applications using microservices architecture, we need to break down our application's several components, such as the API gateway. We can devise our API gateway. After that, we can have microservices for business logic. Our business logic might include authentication, user management, and inventory. We can then use APIs like HTTP REST and databases for each service. We can provide a database for each service. For authentication, we can use JWT, which is a separate microservice for stateless-based authentication.
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