Snehal Thakur.
I code to build efficient tools.
A passionate software developer. I tend to make use of modern technologies to build software that looks great, feels fantastic, and functions correctly.
Hi, my name is
About Me
I am a software developer with a passion for problem solving. I have a background in computer science and mathematics, and I have a strong interest in the intersection of technology and art. I am currently working as a Software Developer Intern at Amazon in Seattle, WA.
I am currently a graduate student pursuing MS in Computer Science at University of Massachusetts Amherst.
Here are a few skills and technologies I've been working with recently:- Cloud Computing
- Distributed Systems
- AWS Resources
- Machine Learning
- Internet of Things (IoT)
- Blockchain
- Python
- Java
Experience
- Developed a robust mechanism for routing customer configurations for AWS Trusted Advisor service.
- Secured global database, preserved data contract & generalized data to use other AWS resources which is convenient through integrated architecture.
- AWS resources used: DynamoDB, Lambda, CloudWatch, API Gateway, CloudFormation, S3, IAM and Route53
- Developed a frontend and backend application for School of Public Health and Health Sciences using HTML, CSS, SQL, Javascript.
- Application will be helpful in health related research in the domain of HIV transmission risk determinants.
- Collaborated on a remote monitoring system used for analyzing the performance and the working of connected devices such as Industrial drives, Agri modules, Solar drives, Switchgears, etc.
- Connected all the Modbus devices to the cloud through the platform which lead to significant growth and revenue for the company.
- Provided valuable data into the hands of the users using analytics in order to make quick decisions remotely.
- Assisted production support team & resolved software issues efficiently of other switchgear products(Cline, Bluetooth-based ACB).
- Prepared a test-bed for cyber-physical critical infrastructure for different industrial use-cases using machine learning & Blockchain.
- Created smart systems to perform & mitigate different attack vectors by taking preventive measures using feedback mechanism.
- Developed a graphic driver for LCD/TFT controller on micro-controller platform using image processing & algorithm optimization.
Education
2021 - 2022
Master of Science in Computer Science
University of Massachusetts, Amherst
GPA:
4.0 out of 4.0
2015 - 2019
Bachelor of Technology in Electronics and Telecommunication
Veermata Jijabai Technological Institute
GPA:
8.3 out of 10.0
Projects
Product Review Sentiment Analysis
Analyzed Amazon.com Reviews and Ratings using text preprocessing techniques like Bag of words, TFIDF, Tokenizer from Keras. Applied Deep Learning models like BERT, LSTM, CNN and compared their performances by tuning the hyperparameters.
Big Data Analytics using MapReduce for Movie Recommender System
Implemented MapReduce library in JAVA with fault tolerant capabilities which would be used for analyzing Movies dataset efficiently.
Pruning of Resnet18 model for image classification
Implemented pruning on Cifar10 dataset to reduce excessive computation while maintaining high accuracy on deep learning model.
Bloom – Fitness Manager Web Application
Developed a platform for tracking physical fitness using GoogleFit API & mental fitness by adding a lifestyle tracker and healthbot.
Anomaly Detection and blockchain based Monitoring System for Enforcing Wastewater Reuse
Created a wastewater recycle control system for its efficient management & coordination among industries & the government. Implemented a tamper-proof record of IoT meter readings using Blockchain and Machine Learning techniques.
Achievements
WRC Blockchain Hackathon
Winner for the project
Global Water Hackathon
1st Runner-up for the project
Siemens Hackathon
1st Runner-up for the project
Pratigya, Technovanza
Event Head for Marketing & Sponsorship
Get In Touch
My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!