Tanay Wagh
Senior Software Developer | IIT Bombay
A web developer who crafts intuitive and engaging digital experiences, ensuring user satisfaction through seamless design and functionality
View ResumeWelcome! I'm thrilled to have you here. Allow me to introduce myself — I'm Tanay Wagh, a passionate Developer with excellent academic credentials and professional experience in leadership, technology, and management.
At present, I'm working at RapidCanvas as a Senior Software Development Engineer on a Data Science Auto AI platform. My skills include React.Js, Redux, Javascript, Typescript, React Native, Python, Chrome Extensions and FastApi. I am an avid learner who continually seeks to enhance my knowledge and expertise.
I pride myself on being concise and clear in my communication, enabling me to collaborate with diverse teams effectively.
Building No code AI platform for business users. Developed variety of features including AI Chatbot, Data Apps, Prediction Service, Data Analysis (EDA) Reports.
- React
- TypeScript
- CSS
- React Flow
- Webpack
- AI Chatbot
- Data
- React Router
- Next.js
- Vite
- Plotly.js
Collaborated with cross-functional teams and developed a ATS + CRM product. Delivered high quality code and efficient development workflow by writing comprehensive unit test cases. Developed and implemented a range of features including LinkedIn Chrome Extension, Insights Dashboard, React Native App, Kanban Board, and Richtext Editor.
- React
- React Native
- TypeScript
- CSS
- JavaScript
- Webpack
- Chrome Extension
Gained first hand experience in Python programming, SQL database management, and FastAPI framework after successfully completing coursework and hands-on projects. Developed RESTful APIs for performing basic CRUD operations using the FastAPI framework.
- Python
- SQL
- C
- FastAPI
Developed an interactive e-learning website featuring a comprehensive daily activity planner, a progress tracker, and a dedicated page for upcoming common meetings and announcements.
- JavaScript
- CSS
- HTML
- Python
Implemented Linear Regression with multiple variables algorithm on a housing dataset in Matlab, including feature normalization, to predict housing prices and obtain the best-fit curve for accurate price predictions. Visualized a dataset of 5000 handwritten digits in Matlab, implemented logarithmic regression algorithm with one-vs-all classification, minimized the cost function, and achieved 97.5% accuracy using a three-layered neural network for digit prediction.
- Machine Learning
- Matlab
Calibrated a rectangular column (Watson and Park 1989, No. 6) for hysteretic loading in OpenSees software framework. Programmed a Matlab code for post-processing the results in order to extract flexural response as a plot
- Matlab
- OpenSees
I had the privilege of studying at IIT Bombay, one of India's most prestigious engineering institutes, where I completed both my graduation and post-graduation in Civil Engineering. Beyond the exceptional academic environment, IIT Bombay instilled in me the value of holistic development. Serving as the department head of the National Service Scheme, I had the opportunity to actively participate in activities that nurtured my personal growth, enhanced my leadership abilities, fostered teamwork, and contributed to shaping me into a well-rounded individual.
I successfully completed my Higher Secondary Education at Pratibha Junior College, where I acquired a strong educational foundation and developed crucial skills to prepare me for further academic pursuits.