Sumit Choudhary

Software Engineer

Bengaluru, Karnataka, India5 yrs 10 mos experience

Key Highlights

Expert in building cloud-native authentication systems.
Achieved 95% automation gains in engineering processes.
Designed secure, scalable identity flows for cloud environments.

Stackforce AI infers this person is a Backend Engineer specializing in cloud-native solutions and AI/ML systems.

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Skills

Core Skills

JavaGoDistributed SystemsMicroservicesSpring BootMachine LearningData AnalysisForecasting Models

Other Skills

AlgorithmsAmazon Web Services (AWS)Back-End Web DevelopmentC (Programming Language)C++Clean CodingCoding StandardsCommunicationData StructureDesign PatternsElasticsearchGame DevelopmentGo (Programming Language)Google Cloud Platform (GCP)JavaScript

About

Backend & Platform Engineer with 2.7 years of experience building cloud-native authentication systems, fine-grained RBAC, distributed automation, and AI/LLM safety pipelines at Confluent and RagaAI. Strong expertise in Java, Go, Kubernetes, Kafka, IAM, and multi-cloud identity across AWS, GCP, and Azure. Proven record of delivering high-impact, cross-team projects including 95% automation gains, 14% revenue lift, and large-scale security frameworks. I specialize in building secure, scalable backend systems and identity flows that eliminate long-lived credentials in cloud environments. My work spans multi-cloud provider integrations, delegated impersonation chains, and robust RBAC models that power secure self-service access for thousands of users. At Confluent, I contribute to platform security, distributed automation, and cross-connector frameworks that significantly accelerate engineering velocity across dozens of teams. At RagaAI, I helped design and ship core backend systems for the company’s 0→1 launch — including model evaluation pipelines, dataset observability features, and LLM guardrails that ensure safe, policy-aligned AI behavior. I care deeply about engineering excellence, ownership, and building systems that are secure by design, resilient, and built for scale. Always open to conversations around distributed systems, cloud security, identity/IAM, platform engineering, and backend architecture.

Experience

5 yrs 10 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs 1 mo

Current Experience

Confluent

Software Engineer

May 2024 – Present · 2 yrs 1 mo · Bengaluru, Karnataka, India · Remote

I work on the Kafka Connect Platform team, building cloud-native authentication frameworks, secure access and RBAC models, and large-scale automation systems that power Confluent’s connector platform.
Key Contributions
Built multi-cloud provider integration frameworks enabling keyless, cloud-native authentication across GCP, AWS, and Azure. Delivered APIs and libraries that eliminate long-lived credentials and strengthen platform security across the connector ecosystem.
Designed and implemented fine-grained RBAC and access-control models across the API, CLI, UI, and provisioning workflows. Enabled secure self-service connector operations, reduced administrative overhead, and improved overall platform security posture.
Developed scalable cross-connector automation systems for propagating dependency updates and template changes across the connector ecosystem. Reduced manual engineering effort, eliminated repetitive workflows, and significantly improved release efficiency and cross-team velocity.

JavaGo (Programming Language)Python (Programming Language)Distributed SystemsREST APIsMicroservices+7

Ragaai inc

Software Engineer

Jul 2023 – May 2024 · 10 mos · Bengaluru, Karnataka, India · On-site

Key Contributions
Implemented model evaluation pipelines using user-provided models and predictions to automatically detect data and model-quality issues. Built scalable backend systems for prediction ingestion and failure-pattern analysis, reducing manual review time by 40% and improving detection consistency by 35%.
Designed and implemented the full Dataset View experience, enabling users to explore datasets, compare versions, and visualize insights with interactive charts and graphs. Improved data observability and reduced dataset analysis time by 30%.
Developed backend APIs and platform components for the LLM Guardrails system, ensuring safe, policy-compliant prompt generation across customer workflows. Integrated evaluation models and safety classifiers in collaboration with ML teams, enabling automated detection of unsafe or non-compliant prompts.
Contributed as an early engineer to RagaAI’s 0→1 product launch, designing and building core backend services, APIs, and infrastructure components essential for the first production release.

Spring BootObject Oriented DesignLow-Level DesignClean CodingCommunicationDesign Patterns+5

Piramal capital & housing finance limited

Data Science Intern

Jul 2022 – Dec 2022 · 5 mos · Bengaluru, Karnataka, India

Developed Snowflake API to get customer and partner details from the database. Customer details dealt with providing basic details of the customer, loan amount and the AUM.
Developed a Neural Network based model for Credit Risk prediction to detect fraud/non‑fraud
customers.
Built an outlier classification model to analyse its behaviour for different partners.
Built a decision tree based model to predict rate of interest.
Worked on building a forecasting model for predicting AUM and 90+ dpd

Python (Programming Language)Machine LearningData AnalysisSQLCommunicationForecasting Models+1

Birla institute of technology and science, pilani - goa campus

Teaching Assistant

Nov 2021 – May 2022 · 6 mos · Goa, India

Worked as a TA (Teaching Assistant) for MATHS F111 : Engineering Mathematics I

Swecha

Software Engineer Intern

Jun 2021 – Jul 2021 · 1 mo · Hyderabad, Telangana, India

Built the user registration, login and logout api.
Explored CRM (Customer Relationship Management) Tools.
Designed use cases for Swecha organization of Mobilizon.
Worked in agile SDLC and tested the feasbility of Mobilizon and Open Social for the use cases