Aspiring ML Engineer & Data Scientist | Graph Neural Networks · RAG · FastAPI · | Building Real Production Systems | B. Tech AI-ML @ LNCT University
Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning
Lnct University
Join Aditya and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossAspiring ML Engineer & Data Scientist | Graph Neural Networks · RAG · FastAPI · | Building Real Production Systems | B. Tech AI-ML @ LNCT University
I'm a B.Tech AI-ML student at LNCT University, and I spend most of my time building ML systems that actually work in production — not just in notebooks. Over the past year, I've built a traffic forecasting system using Graph Neural Networks, a RAG pipeline for document Q&A, a crypto price predictor, and a customer churn model. What's different is that I don't stop at the model — I wrap it in a FastAPI backend, containerize it with Docker, track experiments with MLflow. I got into this because I kept seeing a gap: most ML tutorials teach you to train a model and call it done. But in real companies, the model is maybe 20% of the work. The rest is infrastructure, APIs, and deployment. That's the part I actually enjoy. What I work with: Python, PyTorch, Scikit-learn, XGBoost, FastAPI, Docker, MLflow, Streamlit, SQL What I'm looking for: Junior ML Engineer or Data Scientist roles at companies where ML is core to the product — ideally where I can keep learning fast and contribute from day one. Open to full-time roles and remote internships. GitHub: github.com/Aditya-k63
Bhopal
Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning, Lnct University