About
I am a Computer Science Engineering graduate (Artificial Intelligence & Machine Learning specialization) from DKTE Society's Textile & Engineering Institute, actively seeking entry-level opportunities as a Software Engineer, Backend Developer, or Full Stack Developer. What I work with: Python, Java, and JavaScript form my core, with hands-on experience across the stack — Node.js, Express.js, Django, and Flask on the backend; React and Angular on the frontend; MySQL and MongoDB for data. I also apply machine learning (TensorFlow, Scikit-learn, CNNs, NLP) to build intelligent, production-style applications rather than just notebooks. What I've built: My final year project, AgroSmart, is an AI-powered marketplace assistance system for agriculture — it uses CNN-based transfer learning (MobileNetV2) to detect crop quality from images and recommends buyers, cold storage, and markets accordingly. I built the model pipeline, backend integration, and recommendation logic end-to-end using Python, TensorFlow, Node.js/Express, and MongoDB. I've also built an SMS spam detector using NLP and Naive Bayes (deployed with Flask) during my AICTE TechSaksham internship, a house price prediction web app using Linear Regression and Django, and an IoT-based flood detection system with Arduino. How I work: I'm a quick learner who enjoys solving real problems end-to-end — from data and models to APIs and interfaces — and I take feedback seriously. I'm currently sharpening my Data Structures & Algorithms and System Design fundamentals to be interview-ready for SDE roles. Open to Software Developer, Backend Developer, Full Stack Developer, and AI/ML Engineer roles — at startups, mid-sized companies, or MNCs — where I can contribute from day one and keep growing. 📫 walevaijanath@gmail.com
