Balraj Doddi

Senior Software Engineer

United Arab Emirates7 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in cloud-native architecture and microservices.
Proven track record in building scalable SaaS solutions.
Strong background in AI-powered data processing pipelines.

Stackforce AI infers this person is a SaaS-focused Full Stack Engineer with expertise in cloud-native solutions.

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Skills

Core Skills

Cloud-native ArchitectureMicroservicesFull Stack DevelopmentNode.jsBackend DevelopmentDatabase ManagementWeb Development

Other Skills

AI-powered pipelinesAWS S3Azure DevOpsCloud-Native Application DevelopmentDockerEvent Driven Architecture (EDA)ExpressExpressJsFastAPIFlaskGCPGitGitHubGitLabGoogle Cloud Run

About

Quantiphi (Project - Dociphi) empowered the design and implementation of serverless microservices using Google Cloud Run, enabling a scalable SaaS platform. Contributed to building AI-powered pipelines to process email attachments and extract data for seamless client integration. Facilitated collaborative design discussions and decision-making to enhance system infrastructure for high-traffic use cases. Holds a Master's degree in Information Technology from Mulund College of Commerce. Proficient in cloud-native architecture, FastAPI, and SQLAlchemy. Motivated to create innovative, high-performance solutions, leveraging expertise in cloud platforms and AI to drive business transformation. Programming Languages: JavaScript, Python, Java Frameworks: FastAPI, Flask, Node.js, Express.js, React.js, Redux, TypeScript, Material UI, Next.js, React Native Database: PostgreSQL, MongoDB, Oracle, SQL Server Cloud and DevOps: GCP (Cloud Run, Cloud Tasks, Cloud SQL, GCS), Docker, Kubernetes, Jenkins, Azure DevOps, AWS S3 Tools: Git, GitLab, GitHub, Kafka, Redis Architecture: Microservices, Serverless, Event Driven Architecture (EDA), Cloud-Native Application Development

Experience

Quantiphi

Senior Software Engineer

Jun 2024 – Present · 1 yr 10 mos · Mumbai, Maharashtra, India · Hybrid

Implemented microservices on a SaaS platform using Google Cloud Run for a fully serverless, scalable architecture.
Built an AI-powered asynchronous pipeline that reads email attachments, processes documents to extract structured data, and routes the output to the frontend UI and integrated client services.
Led design discussions and technical decision-making for core modules and infrastructure in high-traffic SaaS platforms.

Google Cloud RunMicroservicesAI-powered pipelinesCloud-native architecture

Ampcus tech pvt. ltd.

Senior Full Stack Engineer

Apr 2023 – Jun 2024 · 1 yr 2 mos · Mumbai Metropolitan Region · On-site

Created REST APIs using Node.js and Express to improve the page load time by 5 seconds for the web application.
Implemented the organized error handling architecture to avoid unwanted pod crashing and proving the meaningful error messages to the UI elements.
Enhanced application performance by creating reusable ReactJs components, services, templates and directives.
Led in the installation and configuration of Jenkins Pipelines to accomplish continuous deployment process, improving the time to ship new features by 30%.

Node.jsExpressReactJsJenkinsFull Stack Development

Birlasoft

Senior Software Engineering

Dec 2021 – Apr 2023 · 1 yr 4 mos · Navi Mumbai, Maharashtra, India

Worked in procurement and consulting development project where the new request is placed for materials and services through the platform where vendor submits their quotes.
Worked in a hospital domain where need to present different patient’s medical data to doctor.
Created and maintained Restful Services and Components using NodeJs/ExpressJs.
Implemented the aggregate queries to fetch data from database and avoid redundant database access statements.
Hands On Tools: NodeJs, ExpressJs, MongoDB, Azure DevOps.

NodeJsExpressJsMongoDBBackend DevelopmentDatabase Management

Tata consultancy services

2 roles

System Engineer

Jul 2018 – Jan 2022 · 3 yrs 6 mos

Utilized web development and scripting skills to reduce time and effort for the team. Developed solutions/automated scripts, made necessary code/database changes to accomplish user requirements.
Contributed in developing SQL Queries for Monitoring, Procedures and Views for the support team.
Extensive Database Manipulation Tasks in Production after testing in Dev and QA. Monitored the performance of Database by regularly checking on execution time to ensure the delivery of quality operations.
In the live project, developed solutions such as python/shell scripts which automates tedious workflows and operations, created code and made database changes to incorporate customer requirements.

SQLPythonShell scriptingDatabase ManagementWeb Development

Graduate Trainee

Jul 2018 – Dec 2018 · 5 mos

In a training period, we developed a project on Auto Question Generator which is based on Natural Language Processing, In which we were generating the question from the given content. And also gained a knowledge in DS/ML