I'm an AI technical consultant and software engineer with 5+ years building AI-powered apps, chatbots, and scalable backends. I specialize in NLP, multilingual and RTL support, and turning complex AI concepts into practical solutions that ship. I enjoy guiding product teams through scoping, feasibility analysis, and cost estimation, and I thrive on delivering MVPs for wellness, coaching, and productivity apps while keeping users' needs at the center of design and development.

Srikar Jaru

I'm an AI technical consultant and software engineer with 5+ years building AI-powered apps, chatbots, and scalable backends. I specialize in NLP, multilingual and RTL support, and turning complex AI concepts into practical solutions that ship. I enjoy guiding product teams through scoping, feasibility analysis, and cost estimation, and I thrive on delivering MVPs for wellness, coaching, and productivity apps while keeping users' needs at the center of design and development.

Available to hire

I’m an AI technical consultant and software engineer with 5+ years building AI-powered apps, chatbots, and scalable backends. I specialize in NLP, multilingual and RTL support, and turning complex AI concepts into practical solutions that ship.

I enjoy guiding product teams through scoping, feasibility analysis, and cost estimation, and I thrive on delivering MVPs for wellness, coaching, and productivity apps while keeping users’ needs at the center of design and development.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent
Arabic
Advanced

Work Experience

Software Engineer at Amazon
July 1, 2025 - Present
Engineered multi-tenant platform services in Java on AWS EKS, enabling isolated workload execution across tenant boundaries. Integrated Elasticsearch indexing pipelines to enhance observability of data layers, cutting search query latency by 23%. Automated cluster management workflows using Kubernetes and Helm, reducing manual provisioning overhead across 18 services. Delivered platform features handling millions of daily requests with strict latency and reliability targets. Built Kafka-based event streaming integrations on AWS SQS to decouple microservices and improve pipeline throughput. Designed graceful degradation patterns to maintain partial availability during downstream service failures. Optimized Redis caching strategies on AWS to improve read performance for production-ready, scalable applications. Drove improvements to deployment safety through automated rollback signals and pre-production validation gates. Contributed to design discussions, code reviews, and operational exc
Technology Analyst at HSBC
May 1, 2021 - June 1, 2024
Designed scalable Java microservices on AWS for payment routing, ensuring PCI-DSS compliance across transaction flows. Leveraged Postgres query tuning and Redis caching to reduce p99 API response times by 31% under peak banking load. Deployed containerized services using Docker and Kubernetes on Azure, improving release cadence for banking workflows. Developed core banking services for account management, payment routing, and customer onboarding workflows. Reduced batch job execution time by 35% through query optimization and parallel processing improvements. Built data validation and reconciliation pipelines to ensure consistency across upstream and downstream systems. Implemented secure API patterns including token-based authentication and field-level encryption for sensitive data. Maintained on-call coverage and contributed to incident retrospectives and reliability action items. Authored Scala-based data transformation jobs to process regulatory reporting feeds across multi-tenant
Software Engineer at Druva
February 1, 2020 - April 1, 2021
Architected multi-tenant backup orchestration using Pulsar event streams, supporting 500K+ daily job scheduling events. Built REST APIs supporting backup scheduling, retention policies, and recovery operations across customer tenants. Developed backend modules for cloud-native data protection workflows and storage management features. Wrote unit and integration tests achieving 80%+ code coverage on critical service paths. Supported customer issue investigation by analyzing logs and reproducing issues in lower environments. Configured Docker-based local dev environments standardizing Postgres and Kafka setups across the engineering team.

Education

Master of Science in Computer Science at University of Maryland Baltimore County (UMBC)
August 1, 2023 - May 1, 2025
Master of Science in Computer Science at University of Maryland Baltimore County (UMBC)
January 11, 2030 - June 3, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Financial Services, Professional Services