About me

I am an enthusiastic and motivated Machine Learning Engineer with a passion for computer vision and deep learning. My experience includes developing real-time projects using deep learning algorithms like a transformer, BERT, and agent former networks. With an adept ability to write software in Python or C++ and develop machine learning models, I possess a persistent positive approach to resolving performance issues and a willingness to create solutions to complex problems. I have firm conflict resolution and communication skills and demonstrated the ability to influence others without authority. Above all, I am optimistic and eager to take on new challenges with tenacity and positivity.

Professional Experience

Education

Skills

• Python
• OpenCV
• Machine Learning
• Flask
• Docker
• ROS
• C++
• Bash Scripting
• Tensorflow
• Keras
• Pytorch
• Hugging Face
• NLTK
• SQL
• Spacy
• Git
• Hadoop
• Spark
• Hive
• MongoDb
• Elasticsearch
• AWS

Projects

• 

  Movie Recommender

  ● Took a different approach for movie recommendation by treating it as time-series data.
  ● Did EDA to identify variations in data.
  ● Implemented LSTM model for predicting movie ids, experimented with stateful and non-stateful models.
  ● Benchmarked with different models like GRUs and bidirectional lstm.
  
• 

  Sentiment Analysis for movie reviews

  ● Analyzing sentiment in movie review from IMDB movie review dataset using transformer network.
  ● Used BERT architecture and word tokenizer to improve results.
  ● Embedded the words on a 16-dimensional vector space.
  
• 

  Vehicle number plate and Owner Identification

  ● Detecting vehicle number plates from a video stream and using OCR to get the characters.
  ● Used OpenCV and skimage for extracting number plates and adding contours.
  ● Fetching the owner details with the help of RTO API.