R

Rage Sai Kiran

Software Engineer

Bengaluru, Karnataka, India4 yrs 7 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Achieved 99.9% uptime in production environments.
  • Improved data freshness by 50% through automation.
  • Reduced infrastructure costs by 25% via serverless adoption.
Stackforce AI infers this person is a Backend Engineer specializing in Insurtech and Data Engineering.

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Skills

Core Skills

JavaBackend DevelopmentData Engineering

Other Skills

API DesignAWS LambdaAmazon Web Services (AWS)Apache AirflowApache SparkAutomationBig Data AnalyticsCloud ComputingCoralogixData AnalysisData StructuresDatabase MigrationDatabricksETL PipelinesGoogle BigQuery

About

Back-End Engineer| Microservices Specialist | Cloud-Native Solutions *Building scalable systems with a focus on high availability and performance* Experienced back-end engineer with deep expertise in data structures, algorithms, and distributed system design. Proven track record of architecting resilient, cloud-native microservices (Java/Python) that prioritize scalability, maintainability, and uptime. Thrive in ambiguous environments—adept at clarifying fuzzy requirements, orchestrating cross-team collaboration, and driving timely delivery of critical path initiatives. Technical Proficiencies ▸ Languages: Java, Python ▸ Cloud & Platforms: AWS, Azure (App Service, Functions), Kubernetes, Heroku ▸ Databases: Relational (MySQL, PostgreSQL, Snowflake), NoSQL (MongoDB, DynamoDB), S3 ▸ Frameworks: Spring Boot, Django REST ▸ Event-Driven Architecture: SQS, SNS, Redis, Hazelcast ▸ Data Engineering: Apache Airflow (DAG design), Matching Algorithms ▸ Observability: New Relic, CloudWatch, Kibana, Corologix ▸ CI/CD: Jenkins, GitHub Actions Key Contributions ✔ Led end-to-end ownership of mission-critical microservices, achieving 99.9%+ uptime in production environments ✔ Built data pipelines (Airflow DAGs) to automate ETL workflows, improving data freshness by 50% ✔ Designed market research scrapers to analyze competitor data, informing key product strategy decisions ✔ Developed similarity-based matching algorithms achieving 95% accuracy for real-time use cases ✔ Optimized latency by 40%+ through caching strategies (Redis) and concurrent data processing (ConcurrentHashMap) ✔ Delivered 15+ cloud-native solutions on AWS/Azure, reducing infrastructure costs by 25% via serverless adoption (Lambda) ✔ Championed robust monitoring practices with New Relic and CloudWatch, cutting incident resolution time by 30% Mindset Driven by systems thinking and a bias for action—combine rigorous code standards with a data-driven, product-centric approach to solve complex business challenges.

Experience

Acko

2 roles

SDE ll

Promoted

Apr 2025Present · 11 mos · On-site

  • Engineered a renewal automation platform, boosting pricing accuracy from 30% to 96% and eliminating a 10-day manual cycle for partners like Amazon.
  • Architected an MMV matching algorithm that cut manual edit rates by 56% and minimized IDV discrepancies, validated on 100k+ records using A/B testing.
  • Led the redesign of underwriting rules using MVEL, unlocking high-ROI markets (incl. Assam), which directly increased GWP and conversion rates.
  • Built a centralized S2S authenticated wrapper for the Experian API, eliminating redundant calls, reducing API costs, and simplifying caching logic.
  • #SoftwareEngineering #BackendDevelopment #SystemDesign #Insurtech #Fintech #Automation #APIDesign #RiskManagement #Java #MVEL
JavaMVELAPI DesignAutomationBackend Development

SDE l

Jun 2022Apr 2025 · 2 yrs 10 mos · On-site

  • Owned the 'Juxta' web crawler for scraping competitor discounts, implementing Coralogix logging and ScrapingBee integration to ensure data freshness for pricing strategies.
  • Designed and built 12 REST APIs for the Vehicle Information Service (VIS), providing secure programmatic access to data and eliminating unsafe, direct production database reads.
  • Executed a large-scale MMV database migration to a new schema in under 5 minutes with zero data loss by authoring 50+ data integrity and validation scripts.
CoralogixREST APIsDatabase MigrationBackend Development

Coforge

Data Analyst trainee

Aug 2021Jun 2022 · 10 mos · Bangalore Urban, Karnataka, India · Remote

  • Developed and automated complex ETL pipelines using AWS Lambda, Step Functions, SQS, and SNS, which streamlined data ingestion from Google Drive APIs and reduced manual effort for reporting teams.
  • Designed and implemented multiple cloud-native R&D proof-of-concepts on AWS, Databricks, and Snowflake, validating technical feasibility and enabling successful transition to production systems.
AWS LambdaETL PipelinesDatabricksData Engineering

Education

Vellore Institute of Technology

Integrated M Tech — Computer Software Engineering

Jan 2017Jan 2022

Narayana IIT Acadamy-RAVIRYALA

Jan 2015Jan 2017

Keshava Reddy Concept School,Vadiyampeta,Anantapur

Jan 2014Jan 2015

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