Hi👋..I'm Ranjan Singh
AI / ML Engineer
24 | Artificial Intelligence | Data Science |
Software Development | Full-Stack | Open Research
About Me
Hello there! I'm Ranjan Singh,a dedicated individual with a fervent passion for technology. With extensive experience in Machine/Deep Learning, Software Development, Computer Vision, Natural Language Processing, and Full-Stack Web Development, I thrive on tackling complex challenges head-on.
My approach is characterized by self-motivation, meticulous attention to detail, and an unwavering commitment to innovation. I possess a keen analytical mind, coupled with clear communication skills and a penchant for creativity, all of which drive me to consistently deliver exceptional results.
skills
- C/C++
- Python
- Data Visualization
- Machine Learning
- Deep Learning
- NLP
- Computer Vision
- Reinforcement Learning
Enduction
Integrated M.Tech CSE(AI & ML)
VIT UniversityGrade: 7.99cgpa.
Higher Secondary School
Government Senior Secondary School, Navadiha, NalandaGrade: First class distinction.
Projects
Below are the sample AI projects on C++, java, Python, ML, Deep Learning, NLP, Computer Vision, Reinforcement Learning etc.
Object Detection for self-driving cars
Object Detection for self-driving cars
Analyzed data and Performed data prepossessing and augmentation. Trained Object Detection models such as Faster RCNN, YOLOv5, YOLOv6 and YOLOv7 on the cloud. Monitored the training process using weights and biases MLops platform.
augment the data by combining two annotations and trained Mask RCNN model for object detection and road segmentation. Evaluated and compared the results using Mean Average Precision model (mAP). Built REST API using flask framework.
MorePatna Metro Map
Patna Metro Map
Java Collection framework The Collection in Java is a framework that provides an architecture to store and manipulate the group of objects.
Collection framework used in this project In Graph_M.java, ArrayList, LinkedList, Stack, HashMap In Heap.java, HashMap, ArrayList
MoreNueral Network
Nueral Network
Programming and Mathematics module coursework GitHub Link Implemented activation functions: Sigmoid, ReLU, Softmax. Applied Backpropagation algorithm.
Employed Sophisticated gradient decent and mini-batches optimisation algorithms. Achieved 90% accuracy on test-set in Fashion-MNIST dataset
MoreImage_Captioning
Image_Captioning
mage captioning using PyTorch Created vocabulary from the dataset annotations. Trained and validated image captioning model using Encoder-Decoder architecture by combining CNNs and LSTMs networks.
Performed hyperparametertuning with different network sizes, training data size, optimizes, etc... to select best parameters for the model. Evaluated the model using BLEU score (B1, B2, B3, B4)
MoreMovies_recommende
Movies_recommende
Integrated web development technologies like Flask to deploy the recommendation system, enabling users to interact with the application through a user-friendly interface.
Employed continuous monitoring and improvement strategies, utilizing frameworks like TensorFlow or PyTorch for deep learning-based recommendation models, ensuring the system's accuracy and relevance over time.
MoreGet In Contact
Feel free to get in touch with me for any inquiries, collaborations, or just to say hello! Whether you have questions about my work, want to discuss potential projects, or simply want to connect, I'd love to hear from you. You can reach me via the contact details provided below. I'm looking forward to hearing from you!
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