Deep Learning based TTS With Emotional Expressivity
Summary
Built a text to speech system which overlays emotion from a choice of speakers Accompanied by a GUI coded in Python
Software Development Engineer 2 at Groww
Software Development Engineer 2
Summary
Developed custom Cloudflare Workers to efficiently manage over 100 million requests per day. Led observability initiatives that reduced downtime resolution time by 60%.
Software Development Engineer
Summary
Ownership of all user critical Orders, Positions, Holdings and Auth systems within Groww. Cost reduction, developed in-house tools for generating artifacts, throttling web traffic. Identified bottlenecks, dived deep into technical details to optimize processes with a focus on building reliant and stable systems.
Highlights
Team Foundations
SWE Internship
Summary
Full-stack development with a core backend focus in the Payments team. Enhanced the in-house monitoring system to further improve overall productivity.
SWE Internship (Summer)
Summary
Developed a full-stack in-house monitoring tool along with automating integrations and processes within Groww.
Machine Learning Internship
Summary
Designed and implemented an Open CV based pose-estimation algorithm to power a fitness game's character movements.
Bachelor
Technology
Grade: 8.94 GPA
Courses
MRD Scholarship - All semesters for performing in the top 20%
Issued By
National Rank #43
Issued By
IIM Rohtak
Issued By
IIT Madras
Java, TypeScript, JavaScript, Python, C++, C, C#.
Spring Boot, Node.js, Vue.js, React.js, Express.js, OpenCV.
Docker, Kubernetes, MySQL, Redis, Apache Kafka, MongoDB, Unity3D.
Machine Learning, Distributed Systems.
Summary
Built a text to speech system which overlays emotion from a choice of speakers Accompanied by a GUI coded in Python
Summary
Worked on a chat bot to address the rising mental health concerns based on a deep neural network architecture
Summary
Make a Super MARIO Game engine using java
Summary
Successfully pulled twitter data using Spark Made an NLP pipeline to classify sentiments from data based on Stochastic Gradient Descent, Perceptron, Multinomial Naive Bayes and Multilayer Perceptron models and performed clustering
Summary
Worked on a web hosted tool to allow easy access of Faculty Timetable to assign duties
Summary
Predicted score at the end of the powerplay Best performance : Rank #34 out of 300+ teams
Summary
Interactive information bulletin to specify number of COVID positive, negative and recovered cases in each city
Summary
Used a large dataset of songs split into 90+ features Performed Year Prediction with great accuracy