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Hello, I'm

Om Ashrit Patel

AI/ML Enthusiast & Problem Solver

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About Me

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Experience

3 Internships Completed
2 Online (ML & AI) | 1 Offline at DRDO

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Education

10th – St.Theresa, ICSE
12th – DPS, CBSE
B.Tech CSE (AI/ML) – SRM IST

I’m a final-year B.Tech student specializing in Artificial Intelligence and Machine Learning at SRM IST, Delhi NCR. I’m passionate about building real-world solutions at the intersection of AI, robotics, and automation.

I've completed internships with DRDO, Shell India, and Personifwy, focusing on predictive maintenance, AI pipelines, and NLP. I'm constantly building projects that involve computer vision, intelligent systems, and algorithmic problem-solving.

Strong in data structures, machine learning, and real-time simulations, I aim to bring technology closer to people through automation, smart systems, and intelligent software.

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Technical Skills

Languages

C++, Python, Java, JavaScript, HTML, CSS

Core CS & DSA

Data Structures, OOPS, STL, Operating Systems, DBMS, Networking

AI / Machine Learning

TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, Pandas, Matplotlib

Computer Vision

OpenCV, YOLOv5, CNN, Image Augmentation, Landmark Detection

Data & Database

SQL, MySQL, Oracle, Excel, GA4

Dev Tools & Platforms

Git, GitHub, Netlify, VS Code, Google Colab

Robotics & Hardware

Arduino, Raspberry Pi, GSM Modules, Sensors, Actuators

Explore My

Experience

AI Intern – Personifwy

TensorFlow

NLP

Pandas

NLTK

Model Training

Cross-Validation

Research Intern – DRDO (CVRDE)

Machine Learning

Predictive Maintenance

RUL Estimation

Sensor Data

Pressure & Flow Metrics

Mentorship: Scientist ‘E’

Virtual Analytics Intern – Shell India

Data Analytics

GA4 (Google Analytics)

Excel

Sustainability Case Study

AICTE Skill4Future

Soft Skills

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Browse My Recent

Projects

VisuPath Simulator

VisuPath: AI Evacuation Simulator

Real-time smart evacuation visualizer using A*, BFS, DFS, and Dijkstra. Features multi-agent pathfinding, fire spread, and animated simulation.

YOLOv5 Detection

Real-Time Object Detection (YOLOv5)

Achieved 96% accuracy on 20+ object categories with real-time 30 FPS detection. Integrated with OpenCV and optimized for low-latency inference.

Text Classification

Text Classification using TensorFlow

Classified 50,000+ text samples into 5 categories using TensorFlow & NLP techniques. Achieved 92% accuracy with cross-validation.

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Get in Touch

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