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Technical Skills
Technical Skills
-Electronics: Circuit Design, PCB Development, Digital Systems, EM Theory.
- Programming: Python (Scientific Computing), AI Fundamentals, Problem Solving.
- Engineering Mathematics: Probability, Calculus, Stochastic Processes.
- Systems & Signals: Signal Processing, Boundary Value Analysis.
Practical Expertise
Practical Expertise
- Lab Work: Analog/Digital Circuits, Device Testing, Python Applications.
- Design: Engineering Graphics, Design Thinking Methodology.
Professional Development
Professional Development
- Technical Communication (English/Japanese).
- Professional Ethics & Human Values.
- Project Management & Collaborative Problem-Solving.
Academic Excellence
- CGPA: 7.67/10 | Credits: 67/67
- Top Grades: AI, Programming, Physics, Ethics, Yoga.
PCB Design Course
PCB Design Course
Proficient in fundamental Printed Circuit Board (PCB) design principles.
Competent in using Altium Education tools for basic PCB layout and schematic capture.
Completed training in essential PCB design workflows and best practices.
C Programming
C Programming
Mastered C Programming: Developed comprehensive skills in C programming, from foundational concepts to advanced techniques.
Strong Algorithmic Foundation: Built a solid understanding of algorithms and data structures through practical C implementations.
Problem-Solving with C: Gained expertise in solving complex programming challenges using the C language.
Advanced C Concepts: Proficient in advanced C topics such as pointers, dynamic memory allocation, file I/O, and data structures.
Practical C Application: Applied C programming knowledge to develop efficient and robust solutions.
Python Bootcamp
Python Bootcamp
Foundational Python Skills: Acquired core Python programming concepts, including variables, data types, operators, and control flow.
Practical Python Application: Gained hands-on experience in writing and executing Python scripts for various tasks.
Beginner-Level Proficiency: Developed a solid understanding of Python's syntax and fundamental programming paradigms.
Problem-Solving with Python: Learned to apply Python for basic problem-solving and automation.
course on Digital Logic Design
course on Digital Logic Design
Verilog HDL Basics: Proficient in fundamental Verilog HDL for digital design.
Digital Design with Verilog: Capable of describing and designing digital circuits using Verilog.
Verilog for Verification: Understood basic concepts of digital design verification with Verilog.
Hackathon on Agricultural Fields
Hackathon on Agricultural Fields
Developed an Automated Agricultural Monitoring Robot: Engineered a mobile robot integrating Arduino and Raspberry Pi for automated agricultural field analysis.
Applied Computer Vision for Crop Health: Implemented webcam-based visual detection using Raspberry Pi to assess plant water scarcity and overall health.
Integrated Multi-Sensor Data Collection: Utilized Arduino with temperature and humidity sensors to monitor environmental deficiencies in plants.
Leveraged Embedded Systems for Real-time Monitoring: Designed and implemented a system for real-time display of plant health parameters (water, temperature, humidity) via an Arduino application.
Hackathon Participant & Innovator: Successfully contributed to a team project in a competitive hackathon environment, demonstrating innovative problem-solving in agricultural technology.
Title :Automated Agricultural Monitoring Robot (or similar, e.g., "Smart Agri-Bot for Crop Health")
Event: Hack Fest - 2 (ECE Association & Alumni Chapter of ECE) Date: February 27th & 28th, 2025
Robotics & Navigation:
Designed and built a mobile robot platform capable of traversing agricultural terrain.
Utilized Arduino for precise motor control and low-level hardware interaction to automate robot movement.
Visual Plant Health Analysis (Raspberry Pi & Webcam):
Integrated a Raspberry Pi as the central processing unit for higher-level tasks.
Employed a webcam connected to the Raspberry Pi to capture real-time images of plants.
Developed image processing capabilities on the Raspberry Pi to detect visual signals indicating water scarcity in plants. This allowed for non-invasive, visual assessment of crop health.
Environmental Parameter Sensing (Arduino & Sensors):
Connected a temperature sensor module and a humidity sensor module to the Arduino.
The Arduino continuously collected data on ambient temperature and humidity, enabling the detection of environmental stress factors.
Data Integration & Reporting:
Established communication between the Raspberry Pi and Arduino to integrate data from both visual analysis and environmental sensors.
The processed data, identifying "bugs" or deficiencies (water scarcity, temperature issues, humidity problems, etc.), was then transmitted to an Arduino application. This application served as a user interface, providing clear, actionable insights into the plant's condition.
Outcome: This project demonstrated a viable, automated solution for proactive and efficient agricultural monitoring. It showcased the integration of robotics, computer vision, and IoT-enabled sensor technology to address real-world agricultural challenges, enabling farmers to identify and respond to plant health issues more effectively.
Impacting socially to the environment
Impacting socially to the environment
NEP 2020 Knowledge: Demonstrated understanding of the National Education Policy 2020.
Continuous Learning: Engaged in continuous learning aligned with CDIO and TPACK standards.
Educational Policy Awareness: Gained awareness of recent educational reforms.
SDR Workshop – IEEE SRM
SDR Workshop – IEEE SRM
Participated in a multi-day workshop on Software Defined Radio (SDR) conducted by IEEE SRM and SSIT at SRM Institute of Science and Technology in September 2024.
Key Topics Covered:
SDR for Emerging Technologies
SDR Programming Techniques
Octave Programming
Practical exposure to modern communication systems
Organized by: IEEE SRM, SSIT, and ECE Department – SRMIST
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