Alumni Management Portal
Architected a highly scalable backend infrastructure using Django, Flask, and MySQL to facilitate seamless alumni interactions.
I am an innovative and result-oriented Electronics and Telecommunication Engineer with a strong passion for bridging the gap between hardware and software. My journey is driven by a curiosity for embedded systems, IoT, and creating intelligent, automated solutions.
Currently, as a Jr. Software Developer at Manasvi Tech Solution, I contribute to full-stack development and automation projects, applying my skills in Python, modern web frameworks, and cloud technologies. My academic and project work, including an award-winning Smart Irrigation System, has provided me with a robust foundation in integrating hardware (like Raspberry Pi and various sensors) with software (APIs, Machine Learning models) to build scalable and efficient systems.
I am a quick learner, deeply committed to research, development, and product innovation, always seeking new challenges to solve complex problems.
My professional journey in technology, from internships to my current developer role.
I am actively working on intelligent backend solutions, automation, and integrating advanced Python libraries for data processing and model deployment. My work includes building RESTful APIs, implementing ML models, and leveraging frameworks like Django to create scalable, AI-powered applications.
Engineered a multi-mode architecture for a simulated washing machine using PIC microcontrollers. Developed a PICsimlab-based simulation model, which improved mode-switching accuracy by 20%.
Designed and deployed an AI-powered Mental Health Fitness Tracker. Utilized advanced NLP techniques to achieve a 90% accuracy rate in mood detection from user text inputs, contributing to a proactive mental wellness tool.
Acquired hands-on expertise in the complete AI workflow, from data preprocessing and feature engineering to model training and performance evaluation, utilizing the MATLAB environment for robust analysis.
I am actively working on intelligent backend solutions, automation, and integrating advanced Python libraries for data processing and model deployment. My work includes building RESTful APIs, implementing ML models, and leveraging frameworks like Django to create scalable, AI-powered applications.
Engineered a multi-mode architecture for a simulated washing machine using PIC microcontrollers. Developed a PICsimlab-based simulation model, which improved mode-switching accuracy by 20%.
Designed and deployed an AI-powered Mental Health Fitness Tracker. Utilized advanced NLP techniques to achieve a 90% accuracy rate in mood detection from user text inputs, contributing to a proactive mental wellness tool.
Acquired hands-on expertise in the complete AI workflow, from data preprocessing and feature engineering to model training and performance evaluation, utilizing the MATLAB environment for robust analysis.
A showcase of my technical expertise, from programming languages to cloud technologies.
Architected a highly scalable backend infrastructure using Django, Flask, and MySQL to facilitate seamless alumni interactions.
Engineered an IoT-powered irrigation solution integrating AI models and sensor data to optimize water usage, achieving a 30% reduction in water wastage.
Designed and developed an autonomous line-following robot using Arduino Mega and IR sensors for real-time path detection.
CGPA: 7.5/10
Percentage: 87.5%