AIML Student | AI, Robotics & Automation Enthusiast
First-year B.Tech student at Sanjivani University, Kopargaon. I build intelligent systems from trained ML models to wall-climbing robots. Blending code, curiosity, and hardware to create things that push limits.
Who I am
I'm Pranav Sachin Sonawane, a first-year B.Tech student specialising in Artificial Intelligence & Machine Learning at Sanjivani University, Kopargaon, Maharashtra, India.
My journey started with a simple question: can machines truly learn like humans? That curiosity pushed me to explore Python, dive into neural networks, solder my first ESP32, and compete in national hackathons all within my first year of college.
I'm deeply passionate about the intersection of AI, Robotics, IoT, and Process Automation. Whether that's training a classification model or wiring up a robot that climbs vertical walls, I love turning ambitious ideas into physical reality.
Outside tech, I explore how automation solves real-world challenges from precision agriculture to accessibility tools. I'm actively looking for internships, open-source contributions, and collaborative projects that push my limits.
Building models that learn from data prep and feature engineering to neural network training.
Designing and programming physical robots using ESP32, motor drivers, and sensor arrays.
Connecting devices and automating workflows with n8n, UiPath, and embedded firmware.
Clean, expressive code in Python, Rust, and Java for scripts, games, and web apps.
What I work with
A growing toolkit spanning languages, libraries, and hardware platforms.
What I've built
Hardware and software projects that push learning boundaries.
An IoT-based autonomous robot capable of climbing vertical surfaces using a pneumatic suction mechanism. Combines real-time sensor feedback with precision motor control for wall navigation. Designed, built, and programmed entirely from scratch as a proof-of-concept for adhesion robotics.
A Python-based multiplayer maze-solving game where players compete to find the shortest path through procedurally generated mazes. Features real-time networking, custom maze-generation algorithms (DFS/BFS), and a polished visual interface built to sharpen algorithm design skills.
Developed an IoT-based farming assistant using sensor telemetry, predictive alerts, and remote monitoring. It helps small farms detect soil moisture, temperature, and air quality changes so actions can be taken before issues grow.
Competitions
Building under pressure, learning at speed my competitive journey so far.
Competed in Arohan, a social-impact focused hackathon. Developed a working prototype in a 24-hour sprint addressing a real-world problem valuable experience in rapid prototyping and cross-functional teamwork.
Reached the finals of AIXplore, an AI-centric hackathon challenging teams to build intelligent applications. My team's applied ML solution in a novel domain earned finalist recognition among hundreds of teams.
Shortlisted in the Prototype Round of the Economic Times GEN AI Hackathon one of India's premier generative AI competitions for a working prototype leveraging large language models for intelligent automation workflows.
Credentials
Continuously upskilling through structured courses, workshops, and hands-on programs. My certifications span machine learning fundamentals, Python for data science, IoT development, robotic process automation, and cloud basics each representing applied learning beyond the classroom syllabus.
Get in touch
Open to interesting conversations, collaborations, internship offers, or just a friendly hello. Whether you're a recruiter, fellow developer, or someone with a cool idea my inbox is open!
