PREE OM PRIYADARSHI | AI/ML Engineer

About Me

Building Intelligent Solutions for Tomorrow

I'm an AI/ML Engineer with a passion for creating innovative solutions that blend artificial intelligence with practical applications. My expertise spans across machine learning algorithms, deep learning architectures, and full-stack development.

With a strong foundation in computer science and hands-on experience in developing cutting-edge technologies, I thrive on solving complex problems and transforming ideas into impactful digital experiences.

Technical Skills

Python

Java

JavaScript

TensorFlow

scikit-learn

OpenCV

Flask

HTML/CSS

Machine Learning

Deep Learning

Computer Vision

NLP

Experience

March 2025 - Present

Machine Learning Intern – Fox Trading Solutions

- Built and back-tested ML-based trading models to forecast stock price trends with high accuracy
- Developed automated prediction pipelines using Python and scikit-learn that reduced processing time significantly
- Implemented real-time data processing systems for high-frequency trading scenarios

February 2025 - Present

Web Developer – Spandan TV

- Led the end-to-end development of a responsive website for a local entertainment channel
- Implemented modern UI/UX principles that increased user engagement
- Live site: https://pree-om.github.io/spandan-tv/index.html

Projects

SangRakshak AI - Women's Safety System

An advanced AI system that analyzes video footage in real-time to detect potential threats to women's safety. The system identifies crowd density, violent activities, and gender distribution with high accuracy, sending instant alerts when dangerous situations are detected.

GitHub Live Demo

Fintech Gringotts Trading Simulator

A gamified trading platform that integrates live stock market data with fantasy elements. Features include interactive option chain visualizations, portfolio risk modeling, and a VR trading interface that makes financial education engaging and accessible.

GitHub Case Study

Diabetes Prediction System

A machine learning model that predicts diabetes risk using health parameters like glucose levels, BMI, and age. The system employs advanced feature engineering and ensemble methods to provide personalized risk assessments.

GitHub Research Paper

Movie Recommendation System

An ML-powered recommendation engine that suggests movies based on collaborative filtering and content-based analysis. The system achieves high user satisfaction by combining neural networks with traditional recommendation algorithms.

GitHub Try It

Education

B.Tech in AI & Machine Learning

ITER, Siksha 'O' Anusandhan DU

2023 - Present

CGPA: 9.46 (Top 5% of University)
Coursework: Deep Learning, Neural Networks, Data Structures, Algorithms

Higher Secondary Education

Fakir Mohan Higher Secondary School

2021 - 2023

First Division
Specialization: Computer Science & Mathematics

Matriculation

St. James' Convent School

2009 - 2021

CGPA: 9.16/10
House Leader & Event Organizer

Achievements

2nd Runners Up in Kodlama – 6-Hour Hackathon

Developed a web application that uses AI to identify and categorize household waste. The app provides suggestions for recycling and reusing items, promoting sustainability and reducing waste.

Finalist in Hackfest Advaita (IIIT BBSR)

Created Fintech Gringotts Trading Simulator, a gamified platform that integrates live stock market data with fantasy elements to make financial education engaging and accessible.

Top 10 in HackOverflow8.0 (NIT Durgapur)

Built SangRakshak, an advanced AI system that analyzes video footage in real-time to detect potential threats to women's safety, ranking in the top 10 among 120+ teams.

60k+ Views on LeetCode Solutions

Consistently ranked in top 10% of problem solvers with optimized solutions in Python and Java. My explanations have helped thousands of developers prepare for technical interviews.

Team Lead at Multiple Hackathons

Successfully led teams of 3-5 developers in high-pressure coding competitions, coordinating technical implementation while ensuring effective communication and task delegation.

Get In Touch

Contact Information

preeom45@gmail.com

github.com/Pree-om

linkedin.com/in/pree-om

leetcode.com/u/PreeOm