Ariyaman Goswami

Senior Software Engineer

Bengaluru, Karnataka, India3 yrs 5 mos experience

Most Likely To Switch

Key Highlights

Expert in building scalable data and AI platforms.
Proven track record in MLOps optimization.
Strong collaboration with cross-functional teams.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in data platforms and MLOps.

Contact

Skills

Core Skills

Amazon Web Services (aws)SnowflakeMlopsContinuous Integration And Continuous Delivery (ci/cd)MicroservicesSpring Boot

Other Skills

APIsAWSAWS Identity and Access Management (AWS IAM)AWS LambdaAWS SagemakerAWS Serverless ServicesAlgorithmsAmazon BedrockAmazon QAmazon S3C++ChatGPTCloud ApplicationsCloudTrailCloudWatch

About

I’m a Senior Software Engineer who loves building platforms that make data and AI work seamlessly at scale. Over the years, I’ve worked across enterprise environments and 3+ early-stage startups, designing secure, self-serve data systems and platforms that empower teams to move faster. I’m fluent in Snowflake, AWS (20+ services), and modern DevOps, and I enjoy tackling complex problems that blend architecture, performance, and usability. Whether it’s optimizing MLOps pipelines, implementing governance frameworks, or spearheading new platform initiatives, I’m driven by creating solutions that have a real and lasting impact.

Experience

Genesys

2 roles

Senior Software Engineer

Promoted

Aug 2024 – Present · 1 yr 7 mos · Remote

Driving the architecture and implementation of enterprise-scale AI and Data Platform at Genesys, enabling secure, self-serve, and governed access to data and AI across the organization.
Collaborated with cross-functional teams to design scalable, API-first platforms with robust observability, governance, and cost efficiency.
Key Responsibilities & Highlights:
AI Enablement Platform: Designed and led the integration of Amazon Q, ChatGPT, Bedrock with AWS-native services, delivering secure, multi-tenant AI workflows and RAG pipelines.
Federated Data Platform: Contributed to 75% of the Snowflake + AWS Data Platform architecture, enabling domain teams to self-serve datasets with fine-grained RBAC and governance policies.
APIs & Authentication: Architected and managed 15+ data platform APIs processing 5M+ calls/month, secured with Okta SSO.
Observability & Monitoring: Built monitoring and vulnerability pipelines with CloudWatch, CloudTrail, Honeycomb, and Snyk, ensuring compliance and cross-domain traceability.
MLOps Optimization: Streamlined and deprecated 12 ML models, achieving $50K annual savings through improved resource efficiency.
Team & Culture: Drove adoption of configuration-based IaC, documentation, and proactive collaboration across engineering teams.

Python (Programming Language)SnykDockerContinuous Integration and Continuous Delivery (CI/CD)Amazon Web Services (AWS)Amazon Bedrock+8

Software Engineer

Jun 2023 – Aug 2024 · 1 yr 2 mos · Remote

Driving the development of federated data product infrastructure, MLOps lifecycle management, and CI/CD ecosystems at Genesys to accelerate data-driven decision-making and machine learning adoption across the enterprise.
Partnered with 50+ teams to deliver scalable, secure, and automated platforms supporting critical business systems.
Key Responsibilities & Highlights:
Federated Data Products: Developed APIs and supporting infrastructure to enable federation and interoperability of data products across domains.
MLOps Lifecycle: Designed and supported end-to-end MLOps pipelines leveraging AWS Sagemaker and serverless AWS services, powering ML models adopted by 50+ teams.
CI/CD Pipelines: Established a CI/CD ecosystem using GitHub Actions to automate deployments, improve release reliability, and reduce operational overhead for critical systems.

Python (Programming Language)SnykDockerMLOpsContinuous Integration and Continuous Delivery (CI/CD)Amazon Web Services (AWS)+8

Stealth startup

Software Engineer

Nov 2022 – Apr 2023 · 5 mos · Remote

Collaborated with a team of developers following Agile Methodologies and Industry Best Practices
Successfully built and deployed 10+ critical data pipelines End to End using AWS Serverless Services
Successfully deployed and managed a FastAPI backend application on ECS with proper metric alerting and logging capability using CloudWatch
Established an extensive CI/CD Pipeline Ecosystem for all critical systems using Github Actions

Python (Programming Language)SQLSystems DesignDockerContinuous Integration and Continuous Delivery (CI/CD)Amazon Web Services (AWS)+7

Acm, association for computing machinery

Webmaster

Aug 2022 – Apr 2023 · 8 mos · Kolkata, West Bengal, India

Tcg crest

Software Engineer Intern

Aug 2022 – Sep 2022 · 1 mo · Remote

Collaborated with a team of interns for the creation of a data collection service for sentiment analysis
Responsible for building the backend end to end using FastAPI and MySQL
Responsible for deployment of the backend on ECS using FARGATE

Python (Programming Language)FastAPISQLSystems DesignAmazon Web Services (AWS)MySQL+5

Workspot, inc

Software Engineer Intern

Jun 2022 – Jul 2022 · 1 mo · Greater Hyderabad Area

Collaborated with the interns and developers of the Cloud Services team for the enhancement of some of the Core Microservices using Agile Methodology
Responsible for writing some of the APIs and features in the Core Microservice using Spring Boot and RabbitMQ
Collaborated with 2 interns to integrate JUnit Tests in the PRS Microservice and increased the Test Coverage of the service from 3% to 85%

SQLMicroservicesSpring BootCloud ApplicationsObject-Oriented Programming (OOP)Jira

Stealth startup

Software Engineer Intern

Oct 2021 – Jan 2022 · 3 mos · Remote

Collaborated with a team of developers for the construction of a data pipeline for the building of a question answering model
Collaborated with the Lead Developer in the building of the data acquisition and storage part of the data pipeline using AWS Serverless Services
Developed a package to be used as a data wrapper class in the data collection pipeline and pushed it to CodeArtifact for custom usage
Responsible for building an Html Parser for SEO optimization and deploying it to Production with API Gateway and SAM
Increased Test Coverage of the services from 15% to 80% by writing Unit tests as well as Integration tests

Python (Programming Language)SQLSystems DesignDockerContinuous Integration and Continuous Delivery (CI/CD)Amazon Web Services (AWS)+6

Bmcp solutions india pvt ltd

Software Engineer Intern

Mar 2021 – Oct 2021 · 7 mos · Remote

Collaborated with the Lead Developer for the construction of the HR Backend APIs using Spring Boot, MongoDB following the SOLID Design Principles and Industry Best Practices
Collaborated with a team of developers using Agile Methodology with the Definition of Done using Scrum ceremonies such as triage, retro, grooming and daily stand ups
Increased Test Coverage of HR Backend APIs from 10% to 89% by writing Unit tests as well as Integration tests using JUnit, Mockito and MockMvc

SQLDockerContinuous Integration and Continuous Delivery (CI/CD)Amazon Web Services (AWS)MicroservicesMongoDB+4