Aspiring LLM Builder • ML/AI Engineer • System Builder
Engineering practical AI systems with clear architecture.
MCA student at PESU focused on machine learning, LLMs, RAG, and scalable software. I spend most of my time on fundamentals, implementation, and shipping reliable systems.
Primary language
Daily practice
Current focus
Building toward it
Focus Areas
What I am building toward
DSA mastery and problem-solving discipline
Machine learning and neural network fundamentals
LLMs, prompt design, and retrieval systems
Data infrastructure and scalable deployment
Selected Work
Practical projects and experience.
A small set of applied projects and internship work that shows how I approach product thinking, implementation, and systems.
ShopEase – Full Stack E-Commerce Platform
End-to-end e-commerce application with admin and user roles, complete product CRUD operations, shopping cart, secure checkout, and payment integration. Focused on performance, responsive design, and modular architecture.
Uber Clone – Real-Time Ride Booking App
Location-based ride booking application with real-time location tracking, route mapping using Google Maps API, simulated driver allocation, and component-based architecture. Firebase backend for authentication and data management.
Core Stack
AI/ML specialization with strong fundamentals.
Focused on algorithms, machine learning systems, LLM architectures, and production-minded software engineering.
Core Languages
ML & AI Specialization
Big Data & Distributed Systems
Databases
Full-Stack (Foundation)
DSA & Problem-Solving
Approach
A simple loop: learn, build, refine.
My workflow moves from fundamentals to implementation and finally to systems that can be deployed and iterated on.
Grind DSA Daily
Building strong fundamentals on StriversTUF with consistent problem-solving practice. DSA is the foundation for all system design and ML optimization.
Master ML/AI
Deep dive into machine learning algorithms, neural networks, and model architectures. Understanding the math behind the magic.
Build LLM Systems
Specializing in LLMs, prompt engineering, RAG architectures, and agentic AI. Staying ahead in the rapidly evolving AI frontier.
Scale & Deploy
Building production-ready ML/AI systems on Big Data infrastructure. Distributed computing and scalable architectures for real-world impact.
Contact
Let's build something useful.
Open to ML/AI projects, LLM systems, and thoughtful engineering work. If there is a useful problem to solve, I am interested.
GitHub
@Gowda1007
Nithyananda Gowda H G
StriversTUF (DSA Daily)
Grinding problem-solving fundamentals
Nithyananda Gowda H G
MCA 1st Year • PESU RR Campus, Bengaluru
Contact
nithyanandagowda10@gmail.com
+91 7676502397
© 2024 Nithyananda Gowda. All rights reserved.