Building intelligent systems with Machine Learning, Generative AI, RAG and Agentic AI.
Introduction video
Coming soon
About
I work across Machine Learning, Generative AI, RAG and intelligent application engineering.
Currently
Building practical AI and ML systems, with a focus on Generative AI, retrieval systems and intelligent applications.
I'm Venkatesh Vaishnav, a Machine Learning Engineer focused on building intelligent systems and practical AI applications.
My work spans Machine Learning, Generative AI, Retrieval-Augmented Generation, Agentic AI and backend systems for intelligent applications.
I enjoy taking an idea from experimentation to a working system — from data processing and model development to APIs, vector databases, containerization and deployment.
Core Stack
1.8+
Years Experience
10+
AI / ML Projects
4+
AI Domains
Selected Work
A selection of projects spanning Machine Learning, Generative AI, RAG, Agentic AI and production-oriented AI infrastructure.
A multi-agent research system that plans, retrieves, analyzes and critiques information to produce structured research answers.
A production-oriented AI support architecture designed around microservices, event-driven processing and hybrid retrieval.
A forecasting assistant combining time-series modeling with retrieval and natural-language interaction across large-scale retail sales data.
A RAG-based application that compares resumes with job descriptions and generates intelligent matching insights.
More systems and experiments coming soon.
Build Feed
Projects, experiments, technical explorations and things I'm currently working on.
Constantly learning.
Building an AI support architecture combining hybrid retrieval, vector search, event-driven processing and production-oriented services.
Exploring multi-agent workflows, retrieval pipelines and practical applications of Generative AI.
Focusing on the engineering layer around ML and GenAI — APIs, vector databases, orchestration, containers and deployment.
Experience
My professional journey across Machine Learning, Generative AI and intelligent systems.
Machine Learning Engineer
Jan 2025 — Present
1.8+
Years Experience
Working on machine learning and AI solutions, taking ideas from experimentation toward practical, production-oriented systems.
Focus Areas
Building at the intersection of Machine Learning and Generative AI.
Contact
I'm interested in Machine Learning, Generative AI, intelligent systems and engineering problems where AI can create meaningful impact.