Computer Engineering Student & AI/ML Enthusiast
Passionate about creating innovative solutions through Machine Learning, Deep Learning, and Full-Stack Development. Transforming ideas into intelligent, scalable systems.
I am a passionate and technically proficient Computer Engineering student at MIT Academy of Engineering (MIT AOE), Pune, with a keen interest in building intelligent, scalable, and real-time systems. Born on December 14, 2004, my academic journey is rooted in a strong foundation - I secured 85.4% in 10th grade from Vidya Niketan English Medium School (Tata Motors) and 66.1% in 12th grade from P.D.E.A, Pune, followed by consistently high performance in my engineering coursework.
My key expertise lies in Full Stack Development and Artificial Intelligence/Machine Learning, where I specialize in combining robust backend development with data-driven, intelligent decision-making. I have practical experience in developing and deploying end-to-end solutions using modern frameworks and integrating machine learning, computer vision, and deep learning capabilities.
My projects include real-time object and drowsiness detection systems, an Advanced Driver Assistance System (ADAS), crop yield and recommendation models, and disaster alert dashboards with location intelligence. My knowledge of database management, data visualization, and cloud computing has enabled me to build holistic systems with comprehensive functionality and real-time performance.
Crafting beautiful, responsive, and interactive user interfaces using modern web technologies. Experienced in creating seamless user experiences with attention to design principles and accessibility standards.
Building robust server-side applications and APIs with scalable architecture. Proficient in database design, server management, and creating efficient backend systems that power modern web applications.
Developing intelligent systems using cutting-edge machine learning and deep learning technologies. Experienced in computer vision, natural language processing, and building AI-powered applications that solve real-world problems.
Utilizing modern development tools and DevOps practices to streamline workflows and deployment processes. Proficient in version control, containerization, and cloud technologies for efficient project management and scalable deployments.
Strong interpersonal and professional skills that complement technical expertise. Experienced in team collaboration, project leadership, and effective communication across diverse stakeholders and technical teams.
Data Science Intern
Duration: July 2024 - September 2024
Developed comprehensive machine learning models and performed advanced data preprocessing techniques. Implemented cutting-edge computer vision systems using YOLOv7 and recommendation systems for enhanced user experience.
IoT Intern
Duration: June 2023 - July 2023
Focused on developing intelligent systems and sensor integration for real-time data monitoring and analysis. Worked on cloud integration and dashboard development for data visualization.
Real Time Number Plate & Helmet Detection
YOLOv7-based model trained with 3,000 helmet and 5,000 number plate images for road safety compliance monitoring. Achieves 94% accuracy in real-time detection.
Crop Recommendation System Using AI/ML
ML models for crop yield prediction using Random Forest with 97.4% R². Features Tkinter GUI for real-time predictions and recommendations based on soil and weather conditions.
Advanced Driver Assistance System (ADAS)
Deep learning-based ADAS for real-time detection of lanes, vehicles, and pedestrians using CNNs and YOLOv11. Contributes to collision avoidance and lane-keeping support.
Real-Time Disaster Information Dashboard
Flask-based web app aggregating real-time disaster data with NLP classification and Leaflet.js visualization. Enhances situational awareness for emergency response teams.
Real-Time Shock-Absorber Detection
Sponsored by Anand Motors. Designed and implemented a real-time system using YOLOv11 to detect shock absorber stages (compression and extension) and calculate radius with high accuracy for predictive maintenance.
I'm always open to discussing new opportunities, collaborations, or just having a chat about technology and innovation. Feel free to reach out through any of the channels below.
Currently seeking internships and full-time opportunities in AI/ML and Full Stack Development.