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Software Engineer and AI Consultant with 3+ years of experience in full-stack development, cloud architecture, and agentic AI systems. Hands-on expertise in Java, Spring Boot, Node.js, and containerization (Docker, Kubernetes) across AWS and Azure. Built autonomous AI workflows using Azure OpenAI and CrewAI, designing microservices, REST/SOAP APIs, and CI/CD pipelines to improve performance, reliability, and deployment efficiency. Experienced in multi-agent orchestration, RAG pipelines, observability, and integrations with enterprise ITSM platforms like ServiceNow.…Software Engineer and AI Consultant with 3+ years of experience in full-stack development, cloud architecture, and agentic AI systems. Hands-on expertise in Java, Spring Boot, Node.js, and containerization (Docker, Kubernetes) across AWS and Azure. Built autonomous AI workflows using Azure OpenAI and CrewAI, designing microservices, REST/SOAP APIs, and CI/CD pipelines to improve performance, reliability, and deployment efficiency. Experienced in multi-agent orchestration, RAG pipelines, observability, and integrations with enterprise ITSM platforms like ServiceNow.

Rhea Gopal

AI Engineer, Software Engineer, Full Stack Developer, +2

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Software Engineer and AI Consultant with 3+ years of experience in full-stack development, cloud architecture, and agentic AI systems. Hands-on expertise in Java, Spring Boot, Node.js, and containerization (Docker, Kubernetes) across AWS and Azure. Built autonomous AI workflows using Azure OpenAI and CrewAI, designing microservices, REST/SOAP APIs, and CI/CD pipelines to improve performance, reliability, and deployment efficiency. Experienced in multi-agent orchestration, RAG pipelines, observability, and integrations with enterprise ITSM platforms like ServiceNow.…Software Engineer and AI Consultant with 3+ years of experience in full-stack development, cloud architecture, and agentic AI systems. Hands-on expertise in Java, Spring Boot, Node.js, and containerization (Docker, Kubernetes) across AWS and Azure. Built autonomous AI workflows using Azure OpenAI and CrewAI, designing microservices, REST/SOAP APIs, and CI/CD pipelines to improve performance, reliability, and deployment efficiency. Experienced in multi-agent orchestration, RAG pipelines, observability, and integrations with enterprise ITSM platforms like ServiceNow.

Available to hire

Software Engineer and AI Consultant with 3+ years of experience in full-stack development, cloud architecture, and agentic AI systems. Hands-on expertise in Java, Spring Boot, Node.js, and containerization (Docker, Kubernetes) across AWS and Azure.

Built autonomous AI workflows using Azure OpenAI and CrewAI, designing microservices, REST/SOAP APIs, and CI/CD pipelines to improve performance, reliability, and deployment efficiency. Experienced in multi-agent orchestration, RAG pipelines, observability, and integrations with enterprise ITSM platforms like ServiceNow.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Beginner

Work Experience

AI Consultant at GENPACT United States

February 1, 2026 - Present

Engineered an autonomous agentic AI workflow using CrewAI and Azure OpenAI to automate end-to-end ServiceNow CRM ticket triage, routing, and resolution, eliminating manual processing for 500+ daily incident tickets and reducing average resolution time by 35%. Designed a human-in-the-loop decision framework to route critical/ambiguous cases to human agents while enabling AI-driven resolution for standard requests using a curated knowledge base, achieving 92% auto-resolution accuracy. Led API migration on AWS using EC2 and Lambda to modernize legacy endpoints, improving scalability, reducing cold-start latency by 28%, and cutting infrastructure costs by 22% via serverless adoption. Built multi-agent orchestration logic aligned with business SLAs and compliance requirements across 3 enterprise client environments. Implemented real-time agent observability by integrating Azure Monitor with CrewAI telemetry hooks, enabling visibility into 15+ agent decision checkpoints and reducing mean-tim

Software Development Intern at Binghamton University

August 1, 2025 - February 1, 2026

Engineered high-throughput streaming APIs by profiling Java microservices, implementing Redis caching, and optimizing PostgreSQL queries, reducing end-to-end latency by 40% while sustaining 100 FPS data throughput with 95% uptime. Configured AWS EC2, Lambda, and S3 for cloud-hosted research applications, achieving 30% scalability and uptime improvements through autoscaling and Infrastructure-as-Code provisioning via Terraform. Automated CI/CD pipelines using Jenkins and GitHub Actions for multi-environment deployments, reducing manual deployment errors by 40% and cutting release cycle duration by 35% across 4 research modules. Implemented role-based authentication and field-level encryption across REST APIs to ensure compliance and achieve zero access-control violations during a 6-month audit cycle. Enhanced observability with Prometheus, Grafana, and the ELK stack, reducing mean-time-to-detect incidents by 25% and enabling proactive alerting for 8 critical service health metrics.

Software Engineer at BETSOL

July 1, 2021 - January 1, 2023

Developed and maintained backend microservices in Java/Spring Boot for Rebit, Zmanda Cloud Storage (ZCS), and Secure Access Link (SAL), reducing API response times by 35% through performance profiling and connection pool tuning. Designed RESTful APIs for distributed data backup and cloud storage systems, achieving 99.95% fault tolerance under sustained high-throughput conditions across 3 production environments. Built multithreaded processing and Redis caching strategies to increase throughput by 28% and stabilize services under peak load, supporting 2M+ daily transactions. Architected event-driven pipelines using Apache Kafka and AWS Glue, reducing cross-service message latency by 40% and improving replication consistency across 6 distributed consumers. Integrated Wasabi and AWS S3 for secure cross-region backups, cutting storage costs by 18% and reducing disaster recovery RTO from 4 hours to under 45 minutes. Implemented ETL workflows with AWS Glue and Lambda to automate validation/t

Software Development Intern at GENESIS

March 1, 2021 - June 1, 2021

Developed RESTful APIs and backend modules using Java, Spring Boot, and PostgreSQL for data workflows, reducing average query execution time by 35% through index optimization and query refactoring. Conducted unit/integration testing with JUnit and Postman across 20+ API endpoints, ensuring stability and reducing production regressions by 30% over two release cycles. Designed internal web utilities using React.js, HTML, and CSS for data management, improving workflow visibility and usability for 15+ business users and cutting manual reporting time by 25%. Supported third-party API integrations and data mapping between internal databases and external enterprise systems, improving interoperability by 35% for 3 client integrations.