MOHIT SONI

About

MOHIT SONI

Mohit Soni

Software Engineer

I am experienced full-stack developer with a strong background in Machine Learning.

Skilled in various programming languages, with a proven track record of delivering high-quality code.

Strong problem-solving skills with 2000+ problems solved, analytical mindset, and a commitment to continuous learning and professional growth.

Technical Skills

Programming Languages

Java

C++

Python

R

Angular

React

HTML

CSS

JavaScript

TypeScript

Ruby

Rails



Frameworks

Node.js

Django

Spring Boot

REST

Flask

Flutter

Bootstrap



Databases

MySQL

Oracle

PostgreSQL

MongoDB

MariaDB



Tools & Libraries

Docker

Kubernetes

Jenkins

Postman

Git

AWS

Azure

GCP

Slack

Discord

Stats

3+

Hackathaons Winner

350+

Leetcode solutions

2k+

Problems Solved

20+

Projects

Projects

Project Image
  • Project Link: Github
  • Leading the development of a real-time ad click aggregation SaaS application, integrating data sources for instant insights into campaign performance.
  • Implementing advanced data analytics and reporting features, offering customizable dashboards and visualizations for data-driven decision-making.
  • Ensuring scalability and data security, following cloud infrastructure and privacy regulations to deliver a reliable service.

Ad-Click-Event-Aggregation

Project Image
  • Website Link: Github
  • Co-created FoodBuddy, an app inspired by the challenges of international and dorm-based college students, addressing kitchen inventory management, recipe recommendations, and community connections.
  • Developed a user-friendly cross-platform solution using React for the frontend and Django for the backend, integrating NLP techniques for recipe recommendations.
  • Contributed to a sustainable and socially connected college experience by reducing food waste and fostering student connections, demonstrating a commitment to addressing real-world issues.

Food Buddy

Project Image
  • Github
  • Designed a large-scale relational database schema for a music and podcast application based on given requirements.
  • Implemented a service layer in Java to interact with the MariaDB database using its JDBC driver.

Wolf Media

Project Image
  • Github
  • Initiated the development of a Job Portal leveraging the Spring Boot framework. The project offers a seamless and efficient platform for job seekers and employers to connect and find the right opportunities..
  • Integrated user-friendly features such as job search, applicant tracking, and resume submission, streamlining the job application process for both candidates and recruiters.
  • By harnessing the power of Spring Boot, the Job Portal project enhances the efficiency of job searching, application management, and talent acquisition, benefiting job seekers and employers alike.

Job Portal

Project Image
  • Github
  • Spearheaded the development of a public project focused on Face Aging using Identity-Preserved Conditional Generative Adversarial Networks (GANs). This innovative approach preserves individuals' identities while simulating the aging process in facial images.
  • Designed an accessible platform that allows users to upload their photos and witness the AI-driven face-aging process. The project balances privacy and creativity by maintaining recognizable identities.
  • By leveraging this technology, individuals gain insight into their potential future appearances, demonstrating the practicality and creativity that AI can offer for personalization and visual storytelling.

Face Aging Generative Adversarial Network

Project Image
  • Github
  • Developed a public Sentiment Analysis project focusing on COVID-19 vaccine-related tweets. The tool utilizes natural language processing techniques to gauge sentiments, providing valuable insights into public opinion, vaccine acceptance, and concerns.
  • Encouraged active participation by providing a user-friendly interface for individuals to submit tweets and view sentiment analysis results in real time. This fosters engagement and community involvement in monitoring public sentiment regarding COVID-19 vaccines.
  • Empowering policymakers, healthcare professionals, and researchers with data-driven insights, the project aids in crafting informed strategies for vaccine distribution, communication, and public health awareness campaigns.

Sentiment Analysis of Covid-19 Vaccine Tweets Public

Project Image

Many More

Work Experience

May 2023 - Present
Software Engineering Intern
Toshiba Global Commerce Solutions
  • Redesigned the performance testing plan of Toshiba’s Point of Sale (POS) solution in the retail marketplace to boost their performance by 13%, leading to fast message consumption and more orders per hour on average.
  • Troubleshot and resolved technical issues, completing an average of 10 weekly fixes to ensure uninterrupted system functionality.
  • Collaborated with a cross-functional agile development team to meet project deadlines, contributing to the successful completion of 3 major software releases.
Nov 2020 - Apr 2022
Full Stack Developer
Infosys Limited
  • Developed applications using Spring Boot and Confluence to automate vendor payment confirmation processes and generate alerts for SLA breaches, resulting in minimized delinquency risk and a 15% reduction in complaints.
  • Integrated API services from third-party vendors to streamline the payment process, boosting system performance and reducing response time by 20%.
  • Deployed payment applications on AWS, GCP, & Azure clouds, achieving 99.99% uptime in all deployments.
  • Automated the process of deploying regular updates across five development teams to reduce manual efforts by 30%.
Jun 2019 - Jul 2019
Software Developer Intern
Hind Computers
  • Developed and implemented an advanced machine learning model to classify student data with 90% accuracy, enhancing decision-making capabilities for the team.
  • Conducted extensive exploratory data analysis on a dataset of 55K records, effectively identifying and classifying over 2K distinct variables with 90% accuracy.
  • Evaluated performance metrics of six different models to determine the most optimal solution, selecting the best model that significantly improved user experience.

Educational Qualifications

2022 - 2024
Masters in Computer Science
North Carolina State University, Raleigh, NC (GPA: 4.0 / 4.0)
2016 - 2020
Bachelors in Technology
Guru Gobind Singh Indraprastha Institute of Technology, Delhi, India (GPA: 3.7 / 4.0)
2015 - 2016
C.B.S.E. - 12th
Halwasiya Vidya Vihar Sr. Seconday School
2013-2014
C.B.S.E. - 10th
Halwasiya Vidya Vihar Sr. Seconday School

You could look into my resume!

DOWNLOAD