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GenAI Engineer with 2+ years in AI/ML & Cloud platforms
GenAI Engineer with 2 years of experience in backend development and GenAI engineering at Genpact. Designed and built scalable RAG pipelines, LLM execution services, and cloud-native document processing systems on AWS reducing ZIP processing time by 50%+ (from 2-3 hours to under 1 hours) and cutting API costs by 80-90% through intelligent document processing. Re-architected a monolithic report generation platform into decoupled microservices using AWS SQS event-driven workflows, eliminating CPU contention and reducing execution failures by 90%+. Developed an LLM-as-a-Judge evaluation framework that reduced manual review effort by over 70%. Proficient in Python, FastAPI, LangChain, and AWS services including Lambda, ECS, Step Functions, DynamoDB, S3, SQS, and Textract.
Dr. A.P.J. Abdul Kalam Technical University (AKTU)
B.Tech · Computer Science & Engineering
November 1, 2020 – July 1, 2024
Genpact
GenAI Engineer
June 1, 2025 – Present
India
Genpact
Technical Associate
October 1, 2024 – May 1, 2025
India
Cultural Fit Analysis
The candidate's experience at Genpact, particularly in GenAI engineering, aligns well with a target role in GenAI. The projects demonstrate a breadth of skills in LLM development, RAG, cloud architecture, and data processing, indicating adaptability and a willingness to tackle diverse technical challenges. The focus on enterprise-grade solutions and performance optimization suggests a results-oriented individual who can contribute significantly to a fast-paced, innovative environment. The recognition for delivering solutions ahead of schedule and leading teams further supports a strong cultural fit for a high-performing team.
Soft Skills & Operational Fit
The candidate's resume highlights achievements such as leading teams to achieve high performance rankings and receiving 'Top Performer' awards, indicating strong work ethic, leadership potential, and ability to deliver results. The focus on reducing manual effort, improving consistency, and optimizing resource utilization suggests a pragmatic and efficiency-driven approach. The experience with re-architecting systems and implementing monitoring/observability indicates a proactive and problem-solving mindset crucial for senior roles.