I am a Computer Science Engineering student at KLE Technological University interested in building practical systems across software, AI/ML, embedded systems, and robotics.
I work primarily with Python, C, and C++, and enjoy combining programming, electronics, automation, sensors, and intelligent interaction to turn ideas into working systems.
Interests: Software Engineering · AI/ML · Embedded Systems · Robotics · Intelligent Applications
Open to: Software projects · AI/ML collaboration · Embedded systems · Open-source work
Platforms: ESP32 · Arduino UNO Q · Sensors · Stepper Motors · Motor Drivers
Tools: Git · GitHub · VS Code · Arduino IDE · Pandas · NumPy · Matplotlib
| Domain | Level | Focus |
|---|---|---|
| Python & Data Analysis | Intermediate | Pandas, NumPy, Matplotlib, statistical analysis |
| Machine Learning | Developing | ML concepts and practical experimentation |
| LLMs & AI Assistants | Developing | LLM applications, APIs and assistant workflows |
| Speech & TTS | Developing | Text-to-speech systems and neural voice models |
Bottle Crimping Machine — ESP32 Automation System
Automated bottle capping system using ESP32, IR sensors, stepper-motor positioning and relay-controlled motors.
Stack: ESP32 · C++ · Arduino · AccelStepper · A4988 · NEMA 17
Work: Designed the control sequence, integrated sensors and motors, implemented positioning logic, and debugged physical hardware issues.
ESP32 Environmental Monitoring System
ESP32-based environmental monitoring system using a BMP280 sensor and browser-based interface.
Stack: ESP32 · C++ · BMP280 · I2C · Web Interface
Work: Implemented sensor communication, real-time measurements and a local monitoring interface.
AI Impact on Job Market
Academic statistical analysis exploring the relationship between AI adoption, automation and employment.
Stack: Python · Pandas · NumPy · Matplotlib · Statistics
Work: Applied statistical methods, data analysis and visualization to study AI-related employment trends.
KLE Technological University · 2025 — Present
Building practical engineering experience through software development, data structures, embedded systems, statistics and independent technical projects.
- Develop modular programs using C, C++ and Python.
- Build ESP32 and Arduino-based embedded systems.
- Work with sensors, motors, drivers and automation.
- Explore AI/ML, LLMs and intelligent software applications.
- Document academic and engineering work through GitHub.
Core: C C++ Python Git ESP32 Arduino AI/ML Embedded Systems
Learning:
- Artificial Intelligence
- Machine Learning
- Software Engineering
- Data Structures & Algorithms
- Embedded Systems
- System Design
Building:
- Embedded automation systems
- AI-powered applications
- Practical software projects
Exploring:
- LLM applications
- Intelligent assistants
- Robotics
- Hardware-software integration
Open To:
- Software engineering projects
- AI/ML collaboration
- Embedded systems projects
- Open-source contributions