Hi, I'm Himakar Bupelly, an AI Software Engineer with 5+ years of experience building production-grade Generative AI applications, scalable backend platforms, and cloud-native solutions across enterprise environments. I specialize in LLMs, Retrieval-Augmented Generation (RAG), AI evaluation frameworks, prompt engineering, and distributed systems using Python, Java, AWS, and modern AI technologies. I have a proven track record of improving automation, optimizing AI accuracy, reducing operational effort, and delivering scalable solutions that drive measurable business outcomes. In my work, I focus on building reliable AI systems that retrieve and reason at scale. I enjoy collaborating with cross-functional teams to translate complex problems into robust architectures and measurable business impact.

Himakar Bupelly

Hi, I'm Himakar Bupelly, an AI Software Engineer with 5+ years of experience building production-grade Generative AI applications, scalable backend platforms, and cloud-native solutions across enterprise environments. I specialize in LLMs, Retrieval-Augmented Generation (RAG), AI evaluation frameworks, prompt engineering, and distributed systems using Python, Java, AWS, and modern AI technologies. I have a proven track record of improving automation, optimizing AI accuracy, reducing operational effort, and delivering scalable solutions that drive measurable business outcomes. In my work, I focus on building reliable AI systems that retrieve and reason at scale. I enjoy collaborating with cross-functional teams to translate complex problems into robust architectures and measurable business impact.

Available to hire

Hi, I’m Himakar Bupelly, an AI Software Engineer with 5+ years of experience building production-grade Generative AI applications, scalable backend platforms, and cloud-native solutions across enterprise environments. I specialize in LLMs, Retrieval-Augmented Generation (RAG), AI evaluation frameworks, prompt engineering, and distributed systems using Python, Java, AWS, and modern AI technologies. I have a proven track record of improving automation, optimizing AI accuracy, reducing operational effort, and delivering scalable solutions that drive measurable business outcomes.

In my work, I focus on building reliable AI systems that retrieve and reason at scale. I enjoy collaborating with cross-functional teams to translate complex problems into robust architectures and measurable business impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at BNY Mellon
July 1, 2024 - Present
Developed production-grade Generative AI applications using OpenAI APIs, LangChain, function calling, and Retrieval-Augmented Generation architectures, reducing manual document processing efforts by 35%. Implemented AI evaluation frameworks, prompt optimization strategies, and structured feedback mechanisms, improving response accuracy by 18% while reducing hallucination rates. Designed scalable retrieval pipelines leveraging embeddings, vector search, and FAISS indexing techniques, improving knowledge retrieval effectiveness across enterprise workflows. Engineered cloud-native microservices using Java, Spring Boot, PostgreSQL, and AWS services, improving platform reliability by 15%. Optimized event-driven processing architectures using Apache Kafka, asynchronous workflows, and caching strategies, reducing API latency by 25% and increasing throughput by 30%.
Software Engineer at Accenture
July 1, 2019 - December 31, 2022
Developed enterprise applications using Java, Spring MVC, and Hibernate frameworks, improving system performance by 20% across business-critical platforms. Built workflow automation solutions using JavaScript, JSP, and Servlets technologies, reducing manual operational effort by 30% and improving productivity. Deployed and monitored cloud-hosted applications using AWS EC2, S3, and CloudWatch services, improving application availability by 15%. Enhanced CI/CD pipelines through Jenkins, Docker, Maven, and automated deployment practices, reducing release cycles by 25% across environments. Optimized SQL queries, indexing strategies, and database configurations, improving retrieval efficiency by 20% across high-volume transactional systems.

Education

Master of Science at Southeast Missouri State University
January 1, 2023 - December 31, 2024

Qualifications

AWS Certified Solutions Architect
January 11, 2030 - June 30, 2026
Machine Learning Specialization
January 11, 2030 - June 30, 2026

Industry Experience

Financial Services, Professional Services, Software & Internet