Hi, my name is Darshan A
AIML Engineer.

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About me

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I'm an AI/ML Engineer transitioning my engineering focus fully into Machine Learning and Artificial Intelligence — building models and intelligent systems rather than just studying the theory. My systems-engineering background gives me an edge most ML-only candidates don't have: I understand how to take a model from a notebook to something that actually runs reliably in production.

Currently pursuing my B.E. in Computer Science at VTU (2023–2027), I'm building hands-on ML projects in predictive modeling and recently completed Cognizant's AI Job Simulation. I'm actively seeking AI/ML Engineer opportunities — especially at startups where I can grow fast and own real ML problems.

View Resume
WHAT I'VE BUILT

Projects

A collection of projects where I turn concepts into practical, working systems.

01 Completed

PYTHON · CLI APPLICATION

Library Management System

A command-line library management application built with Python, designed to handle everyday library operations through a simple menu-driven interface.

Python CLI CRUD Git
  • Book management and record handling
  • Search, borrow and return operations
  • Menu-driven command-line workflow
View Source Code
library_manager.py
darshan@portfolio :~$ python library.py
╔════════════════════════════╗
║ LIBRARY MANAGEMENT SYSTEM ║
╚════════════════════════════╝
01 Add Book
02 View Books
03 Search Book
04 Borrow / Return
Select option ›
02 Completed

DATABASE · SQL PROJECT

QuickMart SQL Project

A MySQL-based database project focused on working with structured data and writing SQL queries to retrieve, filter, group and analyse information.

SQL MySQL Queries Database
  • Structured database and project schema
  • Practical SQL queries and data operations
  • Hands-on database analysis using MySQL
View Source Code
quickmart.sql
SELECT *
FROM quickmart_data
WHERE condition
GROUP BY category;
ID ITEM VALUE
001 Product ✓
002 Product ✓
003 Product ✓
● Query executed successfully
03 In Progress

MACHINE LEARNING · PREDICTIVE MODELING

Credit Risk Ensemble Learning

A machine learning project focused on credit-risk prediction, model training and evaluation using ensemble learning techniques.

Python Scikit-Learn Machine Learning Ensemble
  • Structured ML data preparation pipeline
  • Model training and hyperparameter tuning
  • Performance evaluation and comparison
View Source Code
credit_risk_model.py
Dataset Input Data
Preprocess Feature Prep
Ensemble Model Training
Evaluate Performance
PROJECT STATUS BUILDING...

Contact

darshanhere7090@gmail.com

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