
Aayush Niraula
@aayushniraula
I build agentic AI systems, RAG pipelines, and cloud-integrated enterprise workflows.
What I'm looking for
At Verisk Nepal, I build agentic AI systems on AWS AgentCore, including specialized agents that automate requirements, grooming, code review, and UI/UX workflows. I also develop enterprise chatbots with retrieval, prompt orchestration, tool invocation, and structured-data handling.
I've improved RAG and agentic AI response speeds by up to 30%, built OpenSearch ingestion and indexing pipelines, and implemented multimodal context, caching, telemetry, and token-usage monitoring. My foundation spans full-stack engineering, machine learning, deep learning, NLP, computer vision, and MLOps.
Experience
Work history, roles, and key accomplishments
Software Engineer I (GenAI)
Verisk Nepal
May 2024 - Present (2 years 5 months)
Architected an AI SDLC Multi-Agent System on AWS AgentCore, designing and deploying specialized autonomous agents to automate end-to-end software development workflows. Optimized RAG and Agentic AI pipelines, improving response speeds by up to 30% across production use cases.
Associate Software Engineer
CloudTech Services Pvt. Ltd.
Feb 2024 - May 2024 (3 months)
Developed robust RESTful APIs to streamline inter-service communication across core CRM and Ticketing platforms. Collaborated with cross-functional engineering teams to design and deliver high-performance backend features.
Software Engineering Intern
CloudTech Services Pvt. Ltd.
Oct 2023 - Jan 2024 (3 months)
Researched data pipeline strategies and machine learning models for insurance policy classification tasks. Supported daily development workflows, bug fixes, and feature implementations across core services.
Education
Degrees, certifications, and relevant coursework
FuseMachines
AI Fellowship, Machine Learning
2023 - 2023
Completed an intensive year-long fellowship covering Machine Learning, Deep Learning, NLP, Computer Vision, and MLOps.
Himalaya College of Engineering
Bachelor of Engineering, Computer Engineering
2018 - 2023
Grade: 82.24%
Bachelor of Engineering in Computer Engineering from Himalaya College of Engineering, 2018 to 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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