A brief introduction about my self
Any sufficiently advanced technology is indistinguishable from magic. It's exciting to live in 21st century. Modern Data Science technologies enable us to get better insights and make life easier by using tons of data that we generate everyday very seamlessly.
Machine Learning focused Software Engineer having 3+ years of experience. Expert mining information from large sets of structured or unstructured data, able to apply mathematical, statistical and machine learning techniques on numerical/ text/ vision datasets. Developed end-end architecture for AI projects. Built dozens of REST compliant backend APIs. Looking for new opportunities to challenge & use current skills-set for a better cause.
Download Printable ResumeTools & Technologies
Numpy, Pandas, Matplotlib
Tensorflow, Keras, NLTK, Sk-learn, Scipy
Nltk, Gensim, Spacy, Conversational-AI, RASA
Django, Flask, React.js
MySQL, PostgreSQL, MongoDB, Redis
Lambda, API-Integration, Bucket, EC2, S3
Previous Associations
Working on a Natural Language Processing & Computer Vision. Built deep learning based models for computer vision problems. Developed NLP applications in conversational AI & Text Analytics. Built & managed end-end architecture planning and defining pipeline for micro-services to enable artificial intelligence functionality for large scale products.
Worked as Python developer with backend team. Contributed to large scale applicati on giving complete view of customer requiqrements. Also performed predictive analysis using Machine Learning algorithms. Designed API response System for application using django-rest-framework with Python3 and OAuth2 for authentication system.
Worked on Big Data technologies. Used technologies like apache spark, hadoop, MapReduce and cassandra. Worked with large scale applications. Contributed to already going on system involving getting & processing data from S3 storage, AWS and improving data operations rate per seconds.
Academic Background
CGPA: 3.2/4.0
Check LinkedIn for more/ reachout via email