
I'M
NITHESH.
A PYTHON DEVELOPER
N

A Python Programmer, working in Flask/Django framework in Agile Methodology. An technology enthusiast with unquenchable thirst of exploring new age technology.
Transforming knowledge into experience.
01 PROFESSIONAL
MY KNOWLEDGE LEVEL IN SOFTWARE
DEEP LEARNING
80%
JAVA
70%
PYTHON
90%
FLASK
75%
SELENIUM
85%
DJANGO
80%

03 JOURNEY
2025 - Present
Comcast
Development Engineer III
I work on research-driven engineering initiatives, exploring emerging technologies and building scalable backend systems using Python, Flask, and MongoDB. My work focuses on designing high-performance microservices and cost-efficient multi-cloud solutions across AWS & Azure, while collaborating closely with product and engineering teams to transform POCs, performance insights, and best practices into reliable, production-ready systems.
2022 - 2025
Corestack
Software Development Engineer (FinOps)
Product Development and System Integration using Python and other open source technologies. Participate in R&D activities led by architects. Contribute in product engineering and system integration
2019 - 2022
Accenture
Software Engineering Analyst
Working in agile platform with a deliverable's at regular sprints. Selenium scripting for the Automation.
2019 - Present
Intelligent Transport System
Patent Pending
Neural Network & Android
A Intelligent Transport System with a minimal usage of the data and higher efficiency providing a feasibility for developing countries. Integrated system with smart traffic management and accurate pothole detection system.
2018 - 2019
Smart Home Automation
© Registered
Android & IoT
The project is based on the Android & Interfaced using IoT. Access the appliances at ease and making an energy efficient. "Technology for All" is the ideology. The project can be implemented in all homes at affordable price.
2017 - 2018
Object Detection & Recognition
Open CV
Deep Learning based project for object detection and recognition. The project uses the raw CV code distinguishes the objects and recognizes them and another with YOLO object detection model.
2016 - 2017
Boston Housing Prediction
Machine Learning
Python based project for predicting the housing prices in Boston using the Support Vector Machine algorith with an good accuracy rate








