Author: Shreeya Kamtikar
Shreeya Kamtikar
Role: Computer Engineer & AI Practitioner
Background: Computer Engineering
Core Interests: Applied AI Research, Speech Analysis, Object Detection, Natural Language Processing
Subject Expertise: Artificial Intelligence, Machine Learning, Computer Vision, Speech Processing, Natural Language Processing, and Making AI Accessible to Beginners.
Short Bio
I'm Shreeya Kamtikar, a Computer Engineer with a strong interest in artificial intelligence and machine learning. I started learning AI as a student through small coding projects, just like many beginners do today. Over time, I worked on real-world applications involving speech analysis, object detection, and natural language processing. I enjoy applied AI research and I'm interested in helping students explore technology with curiosity and confidence.Extended Bio
I'm a Computer Engineer who fell in love with artificial intelligence the way many people do — not through a textbook, but through a project. I wrote my first lines of AI code as a student, building small models that barely worked but filled me with the thrill of making a machine learn. That feeling never went away.What started as curiosity became a professional direction. I moved from toy projects to real-world applications. I worked on speech analysis — teaching machines to understand not just words, but the meaning and emotion behind them. I built object detection systems that could see and identify what matters in an image. I explored natural language processing, helping computers make sense of human language in all its ambiguity and richness.I love applied AI research. I'm less interested in theoretical advances that stay in papers and more interested in models that solve actual problems — systems that can be deployed, tested in the real world, and iterated on. There's a special satisfaction in taking a model from a Jupyter notebook to a working application that someone can actually use.But what drives me beyond the technical work is helping others find their own path into technology. I remember what it felt like to be a beginner — excited, overwhelmed, unsure where to start. I want to help students explore AI and computer science with curiosity and confidence, not fear. The field moves fast, and it's easy to feel like you're falling behind. I want to be a voice that says: start where you are, build something small, and keep going.I write for the student who is just starting their AI journey, the self-taught programmer wondering if they can break into machine learning, the educator looking for relatable examples to inspire their students, and anyone who believes that technology should be accessible to everyone, not just those with advanced degrees.Primary Beats
- Applied AI & Machine Learning
- Speech Analysis & Natural Language Processing
- Computer Vision & Object Detection
- Making AI Accessible for Beginners