Harshit Singhai C O M P U T E R S C I E N C E S T U D E N T I like to work as a Machine Learning Engineer. Interested in deep learning and big data. Mobile 9560948115 Email harshitsinghai77@gmail.com Github github.com/harshitsinghai77 Website harshitsinghai77.github.io Linkedin linkedin.com/in/harshitsinghai Medium medium.com/@harshitsinghai77 Projects Vue.js, Node,js, Progressive Web App, Dialogflow | March 2019 M u l t i l i n g u a l A I v o i c e i n t e r f a c e b o t f o r K o t a k M a h i n d r a B a n k Successfully improvised Kotak Mahindra Bank's virtual assistant, Keya by giving it multi-lingual voice capability; providing it a better natural language processing and context-based answering capabilities; making it available on multiple platforms like Alexa, Google Assistant, iOS, Android and Web. Software Engineer Intern 2019 at Leena AI Software Engineer Intern 2018 at Opalina Technologies Freshman Mentor for BU freshers for the year 2019 Skills & Credentials WeBase - Platform to create, host and deploy custom Deep Learning models Peach Pixel - Front-end automation using deep learning (React and Flask) Nexmo - A Multi-lingual voice interface bot for Kotak Mahindra Bank (SIH) Amazon food review classification using RNN Recruitment test platform (Opalina Summer Intern) Designed website for MISHA - A research group at Bennett University Detect crime on the streaming data through machine learning. INDIVIDUAL PROJECTS WORKING EXPERIENCE Selected for the Grand Finale of Smart India Hackathon 2019 Secured 1st Position in MLH 2018 Local Hackday Hackathon hosted by GitHub Secured 3rd position at hackBMU hackathon BML Munjal University. Core team member ACM student chapter, Cerebrum Club, and Student Council ACCOMPLISHMENTS AND HACKATHON Education B E N N E T T U N I V E R S I T Y B.Tech in Computer Science Current GPA 7.7/10.0 6th Semester Skills Contact Proficient Python Java React Keras MongoDB Node.js Familiar Tensorflow Git Flask Spark Courses Deep Learning Machine Learning Big Data Analytics Applied Machine Learning Built web application for front-end automation. Engineered a neural network to code a basic HTML, CSS and Bootstrap website based on a picture of a design mockup leading to rapid design prototyping, thus increasing productivity. React, Flask, Keras, TensorFlow | BML Munjal Hackathon | March 2019 P e a c h P i x e l - T u r n D e s i g n t o C o d e u s i n g D e e p L e a r n i n g Plant Disease Detection using CNN O t h e r R e l e v a n t P r o j e c t s Web App for image colorization using deep learning Flower Recognition Data Science Competition Hackearth S o f t w a r e E n g i n e e r I n t e r n a t L e e n a A I MERN Stack Developer | June 2019 - August 2019 Developing backend and frontend applications Designing and developing Database Models and APIs. Architecture documentation End-to-end deep learning as an application Deep Learning as a service WeBase’s simple graphical user interface, users can train, evaluate, improve, and deploy models based on their data. Find out more at https://webaselandingpage.netlify.com MERN Stack, Flask, Keras, Tensorflow | Capstone Project | Ongoing W e B a s e - M a k i n g D e e p L e a r n i n g S i m p l e