PROFICIENCIES
Spring Boot
Angular
DS & Algo
System Design
Design Pattern
Typescript, Javascript
Java, C, C++, C#
SQL
HTML, SCSS
Achievement
InterviewBit coding contest winner
- Winner of Scaler Coding Contest - XIV
- 4th Rank in Scaler Coding Contest - XIX
- 3rd Rank in Scaler DP Coding contest
- 14th Rank in Scaler CodeDrift: Coding contest by interviewbit
Coding Olympiad
- 1st Runner up in IEM CODINGOLYMPIAD (IEMCO5) Explore now
- 13th rank in Telaos Explore now
Work Experience
- Developed scalable backend infrastructure for Atlas component.
- Developed Java Library(central config) for Atlas.
- Developed backend for a trip handout service.
- Developed Kafka event handler to handle out-of-order event processing.
- Developed fulfillment manager for Witron.
- Tech Stack : Spring boot, Java, SQL, Kafka
Recommendations
Kanhaiya Sharma
Apps Product Technical Specialist at Google
Priyanshu is an amazing engineer, with an excellent understanding of Frontend and Backend development with a good hold of competitive programming. Priyanshu is collaborative & decisive and possesses strong communication and interpersonal abilities. Priyanshu is very good at Data Structure and Problem solving and probably would be among Top 1% whom I would have interacted till now. What I personally find awesome about Priyanshu is his dedication to learn something new and keep on upscaling himself. Priyanshu is an excellent team player and is someone who always keeps the interests of the company first.
Project
AMAZON FINE FOOD REVIEW - SENTIMENT ANALYSIS
The analysis is to study Amazon food reviews from customers and try to predict whether a review is positive or negative using Machine Learning Algorithm.
Accuracy: 89.64%, F1 score: 0.939, AUC: 0.851
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PRODUCT RECOMMENDATIONS ENGINE
It is a recommendation engine based on Machine Learning (KNN Model) which suggestssimilar products to the given query product in any e-commerce website ex. Amazon.com,myntra.com, etc.
Explore now
HUMAN ACTIVITY RECOGNITION USING SMARTPHONES
The objective is to classify activities into one of the six activities performed (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING). Based on 3-axial linear acceleration and 3-axial angular velocity at a constant rate of 50Hz. (LSTM model & Classical ML Model with expert engineered features)
Pollution Control Using Internet Of Things.
It detects the presence of harmful gas and temp. and sends data to your mobile. Devicecuts the power supply in case of fire and you can remotely on/off any home appliance. -Hardware Used : Arduino, MQ6, DHT11