Vinesh Bagra

Software Engineer

Bengaluru, Karnataka, India6 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Founding engineer with expertise in microservices architecture.
Led successful migration of services to AWS.
Developed AI-based solutions to enhance operational efficiency.

Stackforce AI infers this person is a Backend-focused Software Engineer with strong expertise in SaaS and cloud-based solutions.

Contact

Skills

Core Skills

MicroservicesData MigrationAws

Other Skills

AI-based OCRAPI DesignAWS SNSAgile EnvironmentAirflowAlgorithmsAmazon EC2Amazon Elastic MapReduce (EMR)Amazon RedshiftAmazon Relational Database Service (RDS)Amazon S3Amazon SQSAmazon Web Services (AWS)Apache AirflowApache Kafka

About

Hi, I'm Vinesh, a Software Engineer with 3 years of experience in backend development. I specialize in Java for backend development, use Python for scripting and have also explored other languages like Go for personal projects. As one of the founding engineer at Stepchange, I designed and implemented multiple microservices from scratch and collaborated with the product team to launch key features. I have hands-on experience working with SQL databases like MySQL and PostgreSQL, as well as NoSQL solutions like Elasticsearch for API development. During my time at Snapdeal, I was part of the data platform team, where I migrated services from on-premises infrastructure to AWS and built internal tools to improve efficiency. I’m passionate about solving complex problems with technology and continuously learning to build scalable and efficient systems.

Experience

6 yrs 6 mos

Total Experience

1 yr 10 mos

Average Tenure

11 mos

Current Experience

Paytm

Software Engineer

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Stepchange

Software Development Engineer

Mar 2023 – Jul 2025 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Joined as a founding engineer, built multiple microservices from scratch, and collaborated with the product team to deploy several features to production for our ESG Saas Platform.
Built AI-based OCR functionality to extract and read data from invoice documents using Azure Doc Intelligence and OpenAI to reduce manual efforts for data input.
Led the seamless data migration from the legacy carbon accounting module to a new
accounting system, ensuring 100% data accuracy and zero errors during the transition.
Redesigned validation service to validate uploaded data for all Environment, Social,
and Governance categories. This service validates the data and calculates carbon
emissions.
Built a data integration pipeline to ingest customer data from SFTP, enabling the onboarding of multiple enterprise clients.
Built a scalable Notification Service to consume several types of user actions via AWS SNS and send emails to the customers using Mailchimp.
Led the implementation of role-based access control (RBAC) in the reporting module,
streamlining user permissions and improving overall security within the platform.
Designed and implemented a critical microservice to process 100,000+ rows of data via CSV upload, with viewing and verification capabilities using ElasticSearch and MySQL.
Created additional form-based data input feature end-to-end with tenant-specific customization, including database schema design and implementation.
Led the initiative to implement unit test coverage across microservices, increasing coverage from 0% to 50% and improving code reliability.
Created end-to-end data pipeline using Airflow.

MicroservicesAI-based OCRData MigrationValidation ServiceData Integration PipelineNotification Service+5

Snapdeal | acevector group

Software Engineer - Data Platform

Oct 2022 – Mar 2023 · 5 mos · Gurugram, Haryana, India · On-site

Worked in the Data Platform team responsible for real-time processing and analysis of large volumes of structured and unstructured event data from multiple Snapdeal platforms.
Successfully migrated 5 microservices from on-premises to AWS, improving performance and reducing costs.
Built an application from scratch for internal use that reads data from HDFS, processes it, and uploads it to the S3 bucket.
Identified and resolved bugs to enhance platform efficiency and performance.

AWSMicroservicesHDFSS3Real-time ProcessingEvent Data Analysis