Kalyan Maddineni

Software Engineer and Alumni From UMass Amherst.
I am currently working at Fidelity Investments as a SWE in the Fidelity Brokerage Technology (FBT) division


Fidelity Investments

Software Engineer

- Working in Fidelity Brokerage Technology (FBT)
- Modernizing mainframe applications to Microservice-based architecture hosted on AWS and Azure
- Developed a web portal where users can manage access to internal applications and permissions/roles
- Skills: Java, JavaScript, Oracle PL/SQL, PostGreSQL, Angular, and Spring Boot + MyBatis

University of Massachusetts, Amherst

Software Engineering Intern

- Designed and developed a website for real-time index tracking
- Integrated a trading strategy that utilizes factors that impact profitability of a trade (eg. size of trade, risk management, etc) to run alongside a human in decision making as a computer assistant
-Skills: JavaScript, Angular, PostGreSQL

Fidelity Investments

Software Engineering Intern

- Developed an operational monitoring tool using SQL and Tableau for bonds, securities, and index data
- Created a visualization tool for monitoring app usage, query calls, query/database degradation, and query variance
- Optimized a database via hashing to reduce suboptimal query time from 3 minutes to 10 seconds
-Skills: Python, Tableau, Oracle PL/SQL

Personal Projects

Personal Website

- Created this personal website to showcase my experience, skills, and projects
- Written in HTML, CSS, JavaScript, and JQuery

Panoramic Image Stiching using RANSAC

- This project takes two inputted images that are related by a unknown translation and scale and stitches them together
- Written in Python

SubletMe

- SubletMe is a marketplace where college students can sublet their apart or find an apartment to sublet
- Uses Python, MongoDB, Redis, and Nginx

Black-Scholes Option Pricing Model

- Option Pricing Calculator and Geometric Brownian Motion Simulator based on the Black-Scholes formula
- Implemented in C++ and Python

Weatherly

- Weatherly is a webapp that leverages Spotify's API and OpenWeatherMap's API to generate a mood-based playlist using metrics provided by Spotify for each song
- Uses JavaScript, HTML, CSS, and Bootstrap 4

Machine Learning For Finance

- Created a stock prediction model in python using time series data and historical stock price data for all companies in the S&P 500 and created a matrix representing the correlation of one company's stock price to another
- Written in Python

Personal Projects

Languages

-Java
- Python
- C/C++
- JavaScript
- HTML/CSS

Frameworks

-Angular
- Node.js
- JUnit
- Flask
- FastAPI
- Spring/MyBatis

Databases and Cloud Services

- SQL(PostgreSQL, MySQL, Oracle)
- NoSQL(MongoDB)
- Amazon Web Services (AWS)
- Microsoft Azure

Developer Tools

- Containerization(Docker, Kubernetes)
- CI/CD(Jenkins)
- Terraform
- Git