Abhijit Sethi

Software Development Engineer 2, Groww
Bangalore, US.

About

Software Development Engineer 2 at Groww

Work

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%.

Groww
|

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

Groww
|

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.

Groww
|

SWE Internship (Summer)

Summary

Developed a full-stack in-house monitoring tool along with automating integrations and processes within Groww.

PESU Venture Labs
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Machine Learning Internship

Summary

Designed and implemented an Open CV based pose-estimation algorithm to power a fitness game's character movements.

Education

PES University, Bangalore

Bachelor

Technology

Grade: 8.94 GPA

Courses

MRD Scholarship - All semesters for performing in the top 20%

Certificates

Codentine 3.0

Issued By

National Rank #43

PyCode

Issued By

IIM Rohtak

PadhAI

Issued By

IIT Madras

Skills

Programming Languages

Java, TypeScript, JavaScript, Python, C++, C, C#.

Frameworks and Libraries

Spring Boot, Node.js, Vue.js, React.js, Express.js, OpenCV.

Tools and Technologies

Docker, Kubernetes, MySQL, Redis, Apache Kafka, MongoDB, Unity3D.

Domains

Machine Learning, Distributed Systems.

Projects

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

Mental Health Chatbot

Summary

Worked on a chat bot to address the rising mental health concerns based on a deep neural network architecture

2D Game engine using Java

Summary

Make a Super MARIO Game engine using java

Sentiment140 Analysis using Hadoop & Spark

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

Faculty Management Tool using PostgreSQL

Summary

Worked on a web hosted tool to allow easy access of Faculty Timetable to assign duties

T20 Score Prediction - IITM Hackathon

Summary

Predicted score at the end of the powerplay Best performance : Rank #34 out of 300+ teams

Covid-19 Infoboard - InGenius Hackathon

Summary

Interactive information bulletin to specify number of COVID positive, negative and recovered cases in each city

Song Year of Release Predictor

Summary

Used a large dataset of songs split into 90+ features Performed Year Prediction with great accuracy