Primary language for everything โ data pipelines, ML models, desktop apps (PyQt), automation scripts, FastAPI backends, and Streamlit dashboards.
Mohit Dagar
Building practical AI,
not just notebooks.
Aspiring ML Engineer
I'm a final-year B.Tech CSE student at LPU focused on Python, SQL, and AI-driven automation. I build practical systems in machine learning, computer vision, and agri-tech โ while growing toward internship and entry-level roles in AI & data. Gym 6x/week. Haryanvi beats fuel my code.
Core Skills
From raw data to real deployments โ Python, ML pipelines, desktop AI apps, RPA automation, and web frontends.
Building predictive models with scikit-learn and pandas. Hands-on with regression, classification, crop yield estimation, and agri-tech ML experiments.
Real-time video processing with OpenCV and NumPy. Building surveillance systems with motion detection, object awareness, and event-triggered alerts.
Data querying, cleaning, and analysis using SQL and Microsoft Excel. Comfortable with pivot tables, VLOOKUP, data validation, and structured reporting.
Designing automation workflows for business processes using UiPath Studio. Building bots that handle repetitive tasks, data entry, and document processing.
Microsoft Azure Security Engineer (AZ-500 certified). Hands-on with Azure Active Directory, identity protection, platform security, and Azure AI/ML services.
Featured Projects
AI Roommate
Smart assistant for room monitoring, reminders, and home automation. Uses computer vision to be context-aware of your environment, built as a desktop app with PyQt/PySide.
Crop Yield ML
ML experiments for crop recommendation and yield estimation in agriculture. Trains models on soil, rainfall, and temperature data to help farmers make data-driven decisions before the season.
Smart Surveillance CV
Real-time home surveillance with motion detection and event-aware computer vision. Filters false alarms intelligently and triggers alerts only on genuine anomalies.