Work Experience + Projects
Weather View
An interactive web application designed to deliver personalized weather information at your fingertips. Utilizing Angular for the client-side, and Node.js, Express.js, and MongoDB for the server-side, WeatherView offers a seamless experience for users seeking real-time weather updates and forecasts.
- Utilized third party API and Angular for fetching and displaying real-time weather data, enhancing user engagement with accurate updates.
- Implemented dynamic graphs with Angular and charting libraries to visualize temperature, humidity, and pressure forecasts, improving user experience through interactive data visualization.
- Leveraged Angular Material for developing intuitive UI components for real-time weather updates, forecasts, and data visualization across various devices.
- Developed a secure login/signup system with Node.js, Express.js and MongoDB, ensuring user data privacy and personalized access to the weather dashboard.
Agri Predict
AgriPredict is a platform designed to forecast agricultural productivity by analyzing factors such as temperature, rainfall, humidity, land area, crop type, and season. By comparing current climatic data with optimal growth conditions, it helps farmers anticipate their yield, plan for surplus or shortages, and adopt strategies to maximize crop production and profitability.
- Designed a user-friendly app for farmers to access and analyze agricultural data, allowing them to make informed decisions for crop planning and management.
- Processed and analyzed large-scale agricultural datasets, enabling farmers to make data-driven decisions for crop planning and management, resulting in a 30% increase in crop yield.
- Implemented advanced machine learning algorithms, including random forest, linear regression, and LSTM, achieving a 15% increase in accuracy for agricultural yield prediction.
- Optimized models using PCA, clustering, correlation matrix, and hyperparameter tuning for best results.
- Conducted comprehensive testing and debugging, ensuring the app's functionality and performance across 99% of device configurations and platforms.
About Me
I am a full-stack software developer passionate about leveraging AI and data-driven solutions to create meaningful, real-world impact. My journey began with data analysis and machine learning, including internships where I explored predictive modeling, statistical analysis, and applied AI to solve practical problems. I am driven by the belief that AI can simplify complex processes and improve everyday life, and I strive to translate this vision into software that is both intuitive and effective.
I co-founded Hailabs, an edtech platform that teaches school kids the importance of data and AI through hands-on, interactive modules. I developed ML-powered educational tools, allowing students to experiment with face recognition, masked-face detection, and NLP concepts, making complex AI ideas engaging and tangible. Professionally, I have led development at BLUSVN Technologies, building the company’s ecosystem including admin, driver, and customer applications, overseeing the official website, mentoring interns, and contributing to projects like eViewIoT, emphasizing scalability, performance, and user experience. I follow Agile methodologies and bring end-to-end software development expertise: gathering requirements, conducting stakeholder meetings, designing Figma prototypes, architecting databases and systems, coding with multiple tech stacks, testing, releasing, and enhancing products. Curious and adaptable, I am always ready to explore new technologies and contribute to building impactful solutions.
Academically, I am pursuing a Master of Science in Computer Science at Arizona State University, where I have focused on Human-Computer Interaction, Software Verification and Testing, Data Mining, and Statistical Machine Learning, further strengthening my foundation in building intelligent and user-centric systems. Beyond development, I have tutored students in mathematics and Python, co-founded a Lean In Circle in college, organized events for PEHIA, and served as a Google Women Techmakers Ambassador, experiences that strengthened my leadership, collaboration, and mentorship skills.
I am open to collaboration and can be reached at mnair5@asu.edu or +1 (602) 706-8562.
Technical Skills:
Contact Me
I am currently open to fulltime, contract or internship opportunities
Have an awesome project idea?
Let's discuss
mnair5@asu.edu
+1 (602)7068562
Mesa, Arizona
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Designed and developed by Megha Sudhakaran Nair