Aditya Kamble

+1 (704) 236-8209 · [email protected]

Hello, I am a Graduate Student majoring in Computer Science at UNC Charlotte. I am graduating in May 2021 and actively seeking Full time Software Engineering opportunities.

I am a self-inspired programmer with 2+ years of experience as a Software Engineer. Love to build apps for people to solve their daily life problems. I am a fast learner, innovative problem solver and thrive in a fast paced environment. Like to work with people who help each other to push their boundaries to solve complex problems.



Software Engineer Intern

Glassdoor, Mill valley CA

Reduced encryption key rotation process time by 75% by implementing Re-Encryption tool using Java
Integrated HashiCorp’s Vault for Key Value Read Write operation for Authentication and Security
Improved secret keys deployment time by 80% using Vault Java Driver script automation on Jenkins

Jun 2020 - Aug 2020

Software Engineer

C2CIT, India

Automated and Optimized Data ingestion to DynamoDB by 80% by implementing Import Pipelines using Python with Pandas DataFrame and Numpy Integration
Developed financial auditing scripts as per required business logic in Python to automate manual auditing process to improve productivity of auditors by 90%
Improved data security more than 90% by developing Data Masker to mask sensitive data.
Implemented end-to-end Serverless architecture using AWS Amplify with Lambdas and API Gateway

January 2019 - June 2019

Software Engineer

Xoriant Solutions,

Reduced real time message time more than 80% by implementing chat sessions in Redis
Worked on RESTful API Integration with Java and Kotlin for Real Time Chat application on Android
Developed MVVM Based Reactive chat screen to handle messages using SQLite and Android Jetpack
Reduced size of Machine Learning Model by 95% by implementing compression tool using FlatBuffer
Ported and Integrated Caffe Library in Android application using Native C++ with Java and Kotlin using JNI
Designed and Developed Android Bluetooth Low Energy (BLE) programming to execute custom commands on Health care devices to retrieve measured information
Optimized BLE operations to reduce device search time by 85% using custom UUID filters

October 2016 - December 2018


Math Wizard

Classify Math Symbols on Android Device using On Device Machine Learning
Implemented DNN with CNN for classifying Math Symbols on Android Device with 80% Accuracy

Download Math Wizard - Android GitHub Math Wizard - ML GitHub


Implemented Search Indexer for PDF files for improving search speed by 70% using HBase and Java
Developed Distributed System with Mapper and Reducer to search large scale PDF documents and combine results to single PDF.


Loss Ratio Prediction

Improved MAE by 0.90 and accuracy by 40% by implementing rigorous feature engineering by grouping multiple policies into portfolio and creating useful features using aggregation


Word List

Word List with Learn and Practice Mode, with GRE Words
Start with learn mode and practice the words which you have learned with Practice mode
Features: Learn Mode, Practice Mode, Dictate Mode, Word List Marketplace

GitHub Download

Go Fun

Fun way to manage work life balance. Go Fun will start timer ⏰ automatically after booting your machine first time.
It will track your minimum work time and notify 📣 you after completion that It's time to have Fun 🎉


PCCOE - CompHub

Easy and fast file sharing solution for class level Theory and Practical related study material.
Content Sharing platform for Students and Teachers.



University of North Carolina at Charlotte, USA

Master of Science
Computer Science - Software Engineering and Data Science
Relevant Coursework - Algorithms & Data Structures, Machine Learning, Big Data Analytics

GPA: 4.00

August 2019 - May 2021

University of Pune, India

Bachelor of Engineering

GPA: 3.60

July 2012 - May 2016


Programming Languages & Tools
Programming Languages: Python, Android (Google Certified) , Java SE 1.8, Kotlin, Django, HTML5, CSS, Linux Bash Script
Libraries: Pandas, Scikit-Learn, Matplotlib, Numpy, Seaborn, TensorFlow, Keras
Tools & IDEs: Jupyter Notebook, PyCharm, Git, Android Studio, Vim
Databases & Servers: AWS, SQLite, MySQL, MongoDB, PostgreSQL, Nginx, Tomcat 8, Apache Server
Certifications: Machine Learning (Coursera), Neural Networks and Deep Learning (Coursera)