Niranjan Shrestha

Experience

• 

  Freelancer

  Jun 2020 - Jul 2020

  Python Developer

  • Collaborated with other Python Developers, used Python scripts to solve fundamental problems• Dealt with different logic and functions related to Python• Learnt real life application of object oriented programming

• 

  Prixa

  Jul 2021 - Nov 2021

  Machine Learning Engineer Intern

  • Implemented Machine Learning Libraries like Pandas for data analysis, Matplotlib for data visualization and Pytorch for Deep Learning model implementation.• Data gathering via Web Scraping using Scrapy• Used Data Preprocessing Techniques such as Tokenization and Word Embeddings(Word2vec, tf-idf, GloVe)• Numpy and Tensor Manipulation and operation• Implemented NN models(from scratch) such as CNN, RNN, LSTM and YOLO models• Dealt and Analysed Exploding and VAnishing Gradients, Loss functions and Parameter Tuning• Implemented ML model using FastAPI Show less

• 

  INeuron.ai

  Jan 2022 - Jul 2022

  Data Science ( Computer Vision )

  • Designed, developed, and implemented novel computer vision algorithms for unique use cases using deep learning frameworks such as TensorFlow, keras etc.• Used object contours and backgrounds to generate augmented data in python• Evaluated accuracy and quality of the designed models as well as data sources with the help of evaluation metric like mAP, f1-score• Designed and developed production ready code in python • Adopted Project Evaluation metrics necessary for creating documents required in an industrial level Show less

• 

  Code Himalaya

  Oct 2022 - Dec 2023

  AI Developer

  • Proficient in monitoring and logging machine learning models to track performance, detect errors, and facilitate model maintenance and optimization.• Proficient in designing and fine-tuning prompts to elicit specific and desired responses from the models using the OpenAI API, and Vertex API.• Successfully integrated ElasticSearch into the recommendation system architecture, enabling efficient indexing, querying, and retrieval of personalized recommendations• Skilled in data normalization, scaling, and feature engineering techniques to improve the convergence and accuracy of machine learning and deep learning models.• Familiar with RESTful API best practices and principles, implementing them with Flask• Familiar with launching and configuring AWS instances.• Mentoring interns and junior developers, offering technical support, and actively contributing to successful AI projects, encompassing scoping, data analysis, model development, and evaluation, fostering team growth. Show less

• 

  Inspiring Lab

  Dec 2023 - now

  Mid Level AI/ML Engineer