Aayush Mishra
Contact details — on requestProof of Work — on request
Experience
Software Engineer
ArmorCode Inc. · Aug 2025 – Present
- • Migrated background tasks to a separate microservice via a new SQS queue and Kafka producers/consumers, successfully splitting the responsibilities and lowering the load on the main service.
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Software Engineer
ArmorCode · Aug 2024 – Present
- Architected and owned end-to-end integrations for Arnica and Black Duck, scaling platform capacity to ingest and process 100k+ concurrent security findings for enterprise-tier customers.
- Engineered a Batch Processing Framework for parsing security findings, shifting from in-memory processing to a stream-based approach to reduce Out-of-Memory (OOM) errors by 80%.
- Implemented Redis caching for frequently used database queries, reducing database call volume by 70% in production.
- Resolved complex Hibernate session cache challenges during integration to ensure data consistency and performance.
- Automated daily Out of Memory (OOM) analysis by integrating Slack notifications with S3 log processing and AI-based stack trace analysis, reducing manual debugging time by 80%.
- Designed AI agentic workflows with LLM development tools, which reduced task completion time by 50% and improved team efficiency, accelerating project delivery.
- Led complex customer data migration, transitioning from legacy to updated deduplication logic with 100% accuracy, ensuring data integrity and seamless system functionality.
Associate Engineer
ArmorCode Inc. · Aug 2024 – Aug 2025
- • Brought in Redis to cache repetitive database queries, which optimized our system performance and brought latency down by 66%.
Associate Software Engineer
Dassault Systemes Solutions Lab · Jun 2024 – Jul 2024
Software Engineer Intern
Dassault Systemes Solutions Lab · Jan 2024 – Jun 2024
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Software Engineer Intern
Expedia Group · May 2023 – Jul 2023
- Improved car rental recommendation system for zero and restricted result cases by integrating a new API client into the experience layer.
- Boosted recommendation engine accuracy by 20% by implementing refined request parameters in the controller layer and enforcing strict backend data validation.
- Increased code coverage by 10% through creation of unit test cases using JUnit and Mockito.
- Optimized release velocity by 25% by leveraging Datadog to monitor API latency and using Splunk log analysis to reduce mean-time-to-detection (MTTD) for critical production issues.
- Contributed to a project projected to generate $300K in annual revenue by optimizing recommendation services.
Skills 0 proven through work
Also works with
Distributed LockingBlack Duck IntegrationArnica IntegrationFile System ManagementCritical ThinkingDecision MakingProblem SolvingRule-Based Decision Logic ImplementationData ValidationGeospatial Distance CalculationCustom Filter DevelopmentModel Performance ImprovementRecommendation Feature DevelopmentDatabase Query OptimizationRedis Cache ImplementationCode OptimizationStreaming Data ProcessingREST API Endpoint DevelopmentElasticsearch UsageTabular Data Cleaning & ValidationAmazon SQS IntegrationAmazon S3Microservices ArchitectureAPI IntegrationBatch Processing ImplementationFramework DevelopmentDistributed Systems Design
Proof of Work
Proof of Work
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Education
Bachelor of Technology, Computer Science
Malaviya National Institute of Technology Jaipur · 2020 — 2024
Contact details
Contact details
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