About me

I am currently a Computer Software Engineering student at Northeastern University, Boston, MA. I have around 2.5 years of experience building financial systems, full-stack applications, production grade backend infrastructure, and writing clean, reusable, modular, and effecient code.

With a keen interest in Cloud Computing, Software Development, and Artificial Intelligence, I am eager to augment my knowledge and skills in the professional world.

I have successfully led and delivered projects for my company and its clients, earning appreciation and recognition. My strong technical and communication skills enable me to confidently share my ideas, thrive as a team player, and effectively take on leadership roles when needed.

Skills

Front End

React, TypeScript, JavaScript, Angular, HTML, Next JS

CSS, SCSS, Bootstrap, Tailwind CSS, Ant Design, Material UI, Figma

Back end

Python (Django, Flask), Fast API

JavaSE, JavaEE, Spring, Spring Boot, Hibernate

Next JS, Node, Express, Nest JS

Mobile App Developement

React-Native, Flutter, Swift

Cloud

Amazon Web Services, Google Cloud Platform, Heroku, Netlify, Vercel

Database

SQL -> MySQL, PostgreSQL, MariaDB

NoSQL -> MongoDB, Firebase, Redis

GraphQL

Leadership

Communication, Vision, Management and Belief.

DevOps & CI/CD

Docker, Kubernetes, Jenkins, Github Actions, Terraform

Languages

C, C#, C++, Go

Experience

  • Pioneered the foundational architecture and recursive optimization of LOS migration to a third-party service using the Django Rest Framework, React, and TypeScript, boosting code stability, workflows, analytics by 29% and bumping interstate service delivery by 15%
  • Partnered with 5+ cross-functional teams to successfully deliver staged LOS migration updates across 3 major releases with the help of several CI/CD pipelines, consistently meeting sprint goals. Wrote production-grade code with less than 2% post-deployment issues
  • Increased test coverage by 13% (to 86%+) through test-driven development using Cypress, Unittest, and Pytest, enhancing deployment reliability and reducing production issues
  • Conducted 100+ code reviews while championing clean code principles and large-scale adoption of static typing (TypeScript and Python) to enhance code reliability, readability, and long-term maintainability across teams
  • Managed and optimized backend infrastructure for a secure, high-traffic KYC module using Python and AWS services like Lambda, S3, DynamoDB, API Gateway, CodeCommit, and CloudWatch, enhancing system efficiency and reliability
  • Boosted client positive funnel by over 36% through Python-based code optimization and test-driven development
  • Spearheaded the creation of a React, Python, and AWS-powered dashboard for company-wide internal audits, conducting product demos, and meetings with senior executives; enhancing service response time by more than 22%
  • Rapidly delivered a full-stack "Loan Disbursal System" within 4 sprints, developing a responsive front-end in React, a robust backend with Python and SQL, optimizing caching using Redis and leveraging AWS for cloud solutions within the agile framework
  • Engineered a React-Native, Python, Django, and AWS-based app for over 15,000 users to input health data, facilitating analysis and insights for better fitness goal comprehension
  • Reduced SQL query response time by over 82% through strategic indexing and optimization techniques, significantly improving data retrieval speed and user experience
  • Led a team of 5 interns to develop a TikTok/YouTube-like video-sharing platform for a startup using Python, Django, SQL, and JavaScript, resulting in a 18% increase in user engagement
  • Established the backend infrastructure to enable core features like posting, following, liking, and commenting, which improved platform interactivity by 37%
  • Organised brainstorming sessions for task completion, adhering to deadlines, and maintaining weekly code submissions and code reviews
  • Developed a robust Python pipeline to fetch and analyze thousands of tweets using the Twitter API, focusing on public reactions to the revocation of Article 370
  • Performed advanced sentiment analysis using Python and NLP techniques, extracting meaningful insights from unstructured social media data.
  • Created compelling visualizations with Matplotlib, highlighting trends and patterns in public opinion with clarity and precision
  • Identified prominent thought leaders and influencers, providing a detailed assessment of citizens’ positive and negative attitudes toward the government’s action

Projects

ComfortZone { wip }

Tech Stack: Python, Flask, MySQL

A project that I think would be relevant to many. This is a toilet aggregator/ searching app that would allow the user to - find a nearby toilet, rate it on the application, add its pictures, and further inforamtion. This would allow for better accessibility to toilets, comfort, and hygiene for everyone.

View on Github

Jiraffe

Tech Stack: Java, Spring Boot, Hibernate, SQL

Developed a bug tracking application with a user-friendly JSP interface, implementing role-based authorization to streamline bug reporting, assignment, and tracking while reducing unauthorized actions. Leveraged Hibernate ORM and DAO patterns for efficient data management and real-time updates, and designed an advanced dashboard with filtering and sorting capabilities.

View on Github

BostonTown

Tech Stack: React, Node, Express, MongoDB

Led a team of 4 to develop a Boston-based listing website using the MERN stack, featuring over 300,000 properties for improved apartment search and connecting users and agents conveniently. Designed a user reporting feature with an interactive heat map, for increased trust and informed decision-making.

View on Github

UnWritten

Tech Stack: Python, Django, JavaScript, CSS, Tailwind, SQL

Developed a full-stack blogging platform with a robust backend supporting blog creation, media uploads, and timestamp tracking. Designed advanced search and filtering features with improving navigation and content discovery.

View on Github

Education

Master's of Science in Computer Software Engineering

Northeastern University

Boston, MA, USA

September 2023 - December 2025

Bachelor of Technology in Electronics & Telecommunication Engineering

University of Mumbai

Mumbai, India

June 2017 - June 2021

Contact

gada.ni@northeastern.edu

Boston

MA, USA.