- Raleigh, North Carolina, USA
- 08:04
(UTC -04:00) - kajadhav.me
- in/kajadhav
- https://medium.com/@kaushikjadhav01
- https://app.codesignal.com/profile/kaushik_j_vtc
Highlights

I am a Full Stack Developer with 4.5 yrs of engineering experience specializing in Backend, Dev-Ops and Cloud. I like doing cool things like exploring recent tools in the software industry, writing technical articles on Medium and participating in coding competitions. I have hands-on experience in developing large scale production level apps and my managers have always appreciated me for things like writing “efficient code”, taking ownership of other team's tasks and introducing new processes that helped achieve quality results faster.
- I like to use my skills to support my team by automating existing manual processes or introducing new ones.
- I enjoy constantly improving my knowledge base by exploring new tools or collaborating with other developers. This often facilitates ideas and discussions that have a significant impact on my team’s objectives.
- I am a curiosity driven individual and a fast learner.
- Applying my engineering skills to solve real life problems excites me.
Python | Java | Javascript | SQL | C# | Ruby |
PHP | Kotlin | Swift | C | C++ | HTML |
Typescript | R | Dart | Go | Scala | Lua |
React | Angular | Wordpress | Vue.JS | GraphQL | Three.JS |
Redux | Bootstrap | CSS | Jquery | Tailwind | SASS |
Django | Flask | .NET | Spring | Ruby on Rails | Node.JS |
Express.JS | Laravel | Nginx | Redis | TensorFlow | PyTorch |
MongoDB | PostgreSQL | MySQL | SQLite | Firebase | SQL Server |
Android Studio | Flutter | React Native | Dart |
AWS | Azure | GCP | Docker | Kubernetes | Jenkins |
Adobe XD | Figma | Blender | Photoshop |
Jest | Selenium | PyTest | ![]() Cucumber |
- 🥇Received #1 and #2 prizes in hackathons held atIIT Bombay TechFest
- 📜40+ certifications from various learning platforms likeLinkedIn, Udemy, Coursera
- 👩🏼💻50+ project repos inGithub
- 📝10+ articles inMedium andDev
- 📰Predicting NASDAQ and NSE Stocks using Machine Learning Algorithms: ARIMA, LSTM & Linear RegressionIJRASET 2020 (03/2020)
- 📰Flask App for Real Time Sentiment Analysis of Tweets on NASDAQ and NSE StocksIJRASET 2020 (03/2020)
- 📰Building and Hosting a Computer Vision API on AWS using an EC2 instanceELSEVIER 2019 (12/2019)
- 📰Implementation of private cloud based collaboration platforms: AWS Amazon VPC and own CloudIJIRSET 2019 (08/2019)
- 📰Wireless Sensors in IoT based Smart RestaurantJASC 2019 (06/2019)
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- Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis PublicStock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecas…
- NCSU-Fall-2022-SE-Project-Team-11/XpensAuditor---Group-11
NCSU-Fall-2022-SE-Project-Team-11/XpensAuditor---Group-11 PublicForked fromSaiPavanYalla/XpensAuditor
Python, Java, Firebase App to track shared expenses with features like real time SMS and email alerts, web scraping of Walmart and Amazon, interactive charts of expenses, custom categories, etc. In…
- COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans
COVID-19-Detection-Flask-App-based-on-Chest-X-rays-and-CT-Scans PublicCOVID-19 Detection Chest X-rays and CT scans: COVID-19 Detection based on Chest X-rays and CT Scans using four Transfer Learning algorithms: VGG16, ResNet50, InceptionV3, Xception. The models were …
- Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System
Deep-Surveillance-Monitor-Facial-Emotion-Age-Gender-Recognition-System PublicComputer Vision module for detecting emotion, age and gender of a person in any given image, video or real time webcam. A custom VGG16 model was developed and trained on open source facial datasets…
- Real-Time-Object-Detection-API-using-TensorFlow
Real-Time-Object-Detection-API-using-TensorFlow PublicA Transfer Learning based Object Detection API that detects all objects in an image, video or live webcam. An SSD model and a Faster R-CNN model was pretrained on Mobile net coco dataset along with…
- Cancer-Donation-Portal-Python-Flask-App
Cancer-Donation-Portal-Python-Flask-App PublicFlask App for Cancer Donation Portal using basic Python, SQLite3, HTML, CSS and Javascript
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