NIKHIL GANGISETTY

Dedicated and highly motivated Master’s student at UMKC. Bringing more than 3 years of experience in Software Engineering with a solid foundation in C, Python, and Agile methodologies. Demonstrated strong technical and leadership skills by driving innovation at Honeywell, Passionate about building data-driven software solutions for real-world problems

CaptionIt - Cloud based AI Image Captioning web Application

• Generate Descriptive and meaningful descriptions for Images
• Developed using pre trained ML model and python Django for web development on Azure

Keywords: Pytorch, django, Azure

News Letter Service using P2P distributed model

• Developed a P2P news letter model in python, Publishers can publish news letter and Subscribers can subscribe/unsubscribe to a topic(s)
• System will send an Email to all the subscribers whenever a new article published in a topic

Keywords: python, message queue, tcp listener, ring election algorithm

IoT-Based Intelligent Fitness System

• Developed an IoT-based system employing distance measuring sensors and CNN-based action recognition models using TensorFlow and Pandas.
• Implemented user-centered cosine recommendation algorithms for fitness plan recommendations.
• Utilized Android for app development and data-driven decision making.

Keywords: IoT, CNN, Android, Python, Tenserflow, pandas, user recommendation

Pilot Profiling using Machine Learning

• Utilized machine learning classification models to profile pilots based on flight data.
• Analyzed hours flown, landings, and takeoffs in different terrains to enhance workforce management.

Keywords: Python, ML, classification

CAS Tool for INAV

• Developed a C# and OpenGL-based desktop application used by the internal INAV team at Honeywell for efficient testing.
• Demonstrated capabilities to achieve Six Sigma Green Belt DFSS.

Keywords: C#, openGL, Oops