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Rikson Pinto

Open to work1 years experience

Cloud Infrastructure Engineer

Bengaluru, IndiaTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Cloud Infrastructure Engineer specializing in AWS, CI/CD, and Infrastructure as Code.

GitHub

Standing Rank

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Developer Badges

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Skills & Technologies

45 skills
awslambdaec2s3vpccloudwatcheventbridgecomprehendsnssqsdynamodbiamcodepipelinecodebuildalbauto scalingdockerkubernetesjenkinsterraformansibleci/cd automationinfrastructure as codeaws q businesskiromicrosoft copilot studionlpvector databasesllm fine-tuningpythoncore javatypescriptspring bootspring securityrestful api developmentjdbchibernatemysqlmongodbgitgithublinuxvs codeeclipse ideselenium

Work Experience

Cloud Infrastructure Engineer

Sony India Software Centre (SISC)

Jun 2025 - Jun 2026 Bengaluru, India
  • Contributed to the cloud infrastructure development of NOVA, an internal platform designed as an alternative to the Cisco Kenna vulnerability management system.
  • Built AWS-based infrastructure components supporting scalable and secure cloud deployments.
  • Implemented EC2 cost optimization pipelines to detect idle and over-provisioned compute resources.
  • Developed automated workflows to identify unused cloud resources, improving infrastructure utilization and cost efficiency.
  • Collaborated with cross-functional teams to integrate cloud monitoring and infrastructure automation features within the NOVA platform.
  • Researched and implemented NLP-based text processing techniques (chunking, tokenization, embedding, quantization) to prepare training data for LLM models; observed ~2–5% improvement in model accuracy consistency per 1,000 training files added — validated through mathematical query testing with a team of 13–15 reviewers.

Projects

SalesSavvy — Containerized Full-Stack Application

Spring BootDockerMySQLSpring SecurityJWT
  • Architected and containerized a Spring Boot REST API + React.js application using a 3-container Docker setup — demonstrating end-to-end systems engineering ownership from application development to portable, deployment-ready infrastructure.
  • Implemented Spring Security + JWT for stateless auth and defined multi-container orchestration, simulating real-world cloud-native deployment patterns on Linux environments.

PII Detection and Masking Pipeline

S3CloudWatchLambdaComprehendIAM
  • Designed a serverless PII detection pipeline using AWS Lambda, S3, and Amazon Comprehend to automatically identify sensitive data across 80–100 multi-format files (CSV, TXT, JSON) per run.
  • Implemented automated masking of detected PII while preserving raw and sanitized datasets separately in S3; applied IAM least-privilege access and S3 encryption (SSE-S3) for secure data handling.
  • Enabled monitoring and auditability using CloudWatch Logs for traceable and scalable data processing.

Automated Detection of Idle and Over-Provisioned EC2 Resources

S3LambdaEventBridgeCloudWatch
  • Developed a serverless AWS cost optimization discovery system scanning 12–15 EC2 instances to identify idle instances, over-provisioned resources, and unattached EBS volumes.
  • Implemented an event-driven pipeline using EventBridge and AWS Lambda to periodically analyze infrastructure utilization; retrieved CloudWatch CPU metrics to classify resources against predefined thresholds.
  • Generated structured cost optimization reports stored in Amazon S3 with CloudWatch logging for auditability.

Generative AI Chatbot — Multi-Platform Implementation

AWS Q BusinessKiroMicrosoft Copilot StudioVector DBNLP
  • Built an interactive generative AI chatbot using AWS Q Business and Kiro, and replicated the implementation using Microsoft Copilot Studio — evaluating both AWS-native and non-AWS approaches to enterprise GenAI deployment.
  • Implemented NLP text processing pipeline covering chunking, tokenization, embedding, and quantization to prepare and store training data in vector format, improving the model's ability to handle complex mathematical queries.
  • Validated model performance with a team of 13–15 reviewers using structured test datasets — measured ~2–5% accuracy improvement per 1,000 training files added; foundational work intended to feed into an improved version of the NOVA platform's AI capabilities.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

AWS Certified Solutions Architect — Associate

AWS Certified Solutions Architect — Associate

About Details

Professional Bio

Cloud Infrastructure Engineer with experience designing cloud-native applications and serverless architectures on AWS. Specialized in CI/CD automation, infrastructure as code, and Kubernetes-based workloads. Targeting a Cloud/DevOps Engineering role.

B.E. in Electronics & Communication Engineering

St Joseph Engineering College, Mangalore (2020 - 2024)

Pre-University (PCMBs)

St Aloysius PU College, Mangalore (2018 - 2020)

Languages: English, Hindi
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