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AI Engineer focused on building production-grade LLM applications, agentic workflows, and scalable ML systems that bridge research and real-world impact. Recent graduate of Master’s in Computer Science (HCI) at the University of Sydney, with industry experience across AI engineering, data science, and product development. At Block Majority, I worked on agentic AI systems orchestrating secure blockchain transactions using MCP architecture, LLM automation, and GCP deployments. Previously at Vively, I built RAG-based AI food logging systems that improved user engagement by 18%, and at Zebo.ai developed computer vision models for dermatology analysis including U-Net segmentation and skin tone intelligence. Core areas of interest: • Applied AI & LLM systems • Agent architectures & AI automation • Full-stack AI engineering • AI product development Tech stack: Python, Machine Learning, NLP, FastAPI, JavaScript, React, NodeJS, Docker, AWS, GCP, PostgreSQL. Published IEEE researcher and Google Developer Student Club AI Lead. Passionate about building intelligent systems that scale.…AI Engineer focused on building production-grade LLM applications, agentic workflows, and scalable ML systems that bridge research and real-world impact. Recent graduate of Master’s in Computer Science (HCI) at the University of Sydney, with industry experience across AI engineering, data science, and product development. At Block Majority, I worked on agentic AI systems orchestrating secure blockchain transactions using MCP architecture, LLM automation, and GCP deployments. Previously at Vively, I built RAG-based AI food logging systems that improved user engagement by 18%, and at Zebo.ai developed computer vision models for dermatology analysis including U-Net segmentation and skin tone intelligence. Core areas of interest: • Applied AI & LLM systems • Agent architectures & AI automation • Full-stack AI engineering • AI product development Tech stack: Python, Machine Learning, NLP, FastAPI, JavaScript, React, NodeJS, Docker, AWS, GCP, PostgreSQL. Published IEEE researcher and Google Developer Student Club AI Lead. Passionate about building intelligent systems that scale.

Vineeth Ramesh

Full Stack Developer, Data Scientist, AI Engineer, +2

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AI Engineer focused on building production-grade LLM applications, agentic workflows, and scalable ML systems that bridge research and real-world impact. Recent graduate of Master’s in Computer Science (HCI) at the University of Sydney, with industry experience across AI engineering, data science, and product development. At Block Majority, I worked on agentic AI systems orchestrating secure blockchain transactions using MCP architecture, LLM automation, and GCP deployments. Previously at Vively, I built RAG-based AI food logging systems that improved user engagement by 18%, and at Zebo.ai developed computer vision models for dermatology analysis including U-Net segmentation and skin tone intelligence. Core areas of interest: • Applied AI & LLM systems • Agent architectures & AI automation • Full-stack AI engineering • AI product development Tech stack: Python, Machine Learning, NLP, FastAPI, JavaScript, React, NodeJS, Docker, AWS, GCP, PostgreSQL. Published IEEE researcher and Google Developer Student Club AI Lead. Passionate about building intelligent systems that scale.…AI Engineer focused on building production-grade LLM applications, agentic workflows, and scalable ML systems that bridge research and real-world impact. Recent graduate of Master’s in Computer Science (HCI) at the University of Sydney, with industry experience across AI engineering, data science, and product development. At Block Majority, I worked on agentic AI systems orchestrating secure blockchain transactions using MCP architecture, LLM automation, and GCP deployments. Previously at Vively, I built RAG-based AI food logging systems that improved user engagement by 18%, and at Zebo.ai developed computer vision models for dermatology analysis including U-Net segmentation and skin tone intelligence. Core areas of interest: • Applied AI & LLM systems • Agent architectures & AI automation • Full-stack AI engineering • AI product development Tech stack: Python, Machine Learning, NLP, FastAPI, JavaScript, React, NodeJS, Docker, AWS, GCP, PostgreSQL. Published IEEE researcher and Google Developer Student Club AI Lead. Passionate about building intelligent systems that scale.

Available to hire

AI Engineer focused on building production-grade LLM applications, agentic workflows, and scalable ML systems that bridge research and real-world impact.

Recent graduate of Master’s in Computer Science (HCI) at the University of Sydney, with industry experience across AI engineering, data science, and product development. At Block Majority, I worked on agentic AI systems orchestrating secure blockchain transactions using MCP architecture, LLM automation, and GCP deployments. Previously at Vively, I built RAG-based AI food logging systems that improved user engagement by 18%, and at Zebo.ai developed computer vision models for dermatology analysis including U-Net segmentation and skin tone intelligence.

Core areas of interest:
• Applied AI & LLM systems
• Agent architectures & AI automation
• Full-stack AI engineering
• AI product development

Tech stack: Python, Machine Learning, NLP, FastAPI, JavaScript, React, NodeJS, Docker, AWS, GCP, PostgreSQL.

Published IEEE researcher and Google Developer Student Club AI Lead. Passionate about building intelligent systems that scale.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Software Engineer at Block Majority

June 1, 2025 - November 1, 2025

Worked on MCP client and server development, enabling efficient API integration and authentications to orchestrate blockchain transactions on private chains (DAS) with cross chain settlement; developed a dynamic rules engine with natural-language rule definitions, enhanced frontend chat interface, and configured GCP-based CI/CD with Docker containers.

Data Scientist Intern at Vively

June 1, 2024 - September 1, 2024

Increased DAU by 18% by implementing a user-facing food intake logging feature with LLM/RAG for metadata retrieval; built time-series models for CGM data; optimized queries and prompts to improve model outputs and guarded LLM inputs against prompt injection attacks.

Undergraduate Research Assistant at Jain University

August 1, 2022 - February 1, 2023

Redesigned BERT attention with hybrid convolution heads to reduce inference cost by 22%; contributed to Gazebo simulation modeling and evaluated reinforcement learning policies for motion control of a 6-DOF robotic arm.

Machine Learning Engineer at Zebo.AI

May 1, 2021 - November 1, 2021

Contributed to internal metrics dashboard; developed U-Net for lesion segmentation and severity scoring; implemented skin-masking and color-space mapping for undertone detection; helped design backend infrastructure for high-traffic ML pipelines and drafted PRDs.

Education

Master of Computer Science, Human Computer Interaction at University of Sydney

February 1, 2024 - February 1, 2026

Bachelor of Technology in Computer Science, Artificial Intelligence at Jain University

July 1, 2019 - September 1, 2023