Engineer Software
Resume:
HARI KRISHNA CHEETI
*********************@*****.***
CAREER OBJECTIVE
Seeking a position in software development where I can utilize my experience, programming skills and problem solving skills. I have done few mini applications in C&DS, these are helpful for achieving my goal.
PROFILE SUMMARY
Overall 1 year work experience in Embedded Systems.
Superior expertise in Advanced C and Data Structures, System programming and Network programming.
Thorough knowledge of Microcontrollers and Microprocessors.
Thorough knowledge in implementation of UART and I2C protocols on Raspberry pi.
Good knowledge of software-hardware interactions and interfacing.
EXPERIENCE
Working as an Embedded software engineer at Jagruti Technosys Pvt Ltd, Hyderabad from Jan-2020-present.
EDUCATIONAL CREDENTIALS
B.Tech in Electronics and Communication Engineering from Ganapathy Engineering College
(2013-2017) with an aggregate of 62.13%.
Intermediate in MPC from SS Junior College (2011-2013) with an aggregate of 93.5%.
Board of Secondary Education from ZPHS Bommapur High School with an aggregate of 85%.
TECHNICAL SKILLS
Programming Languages : C& DS, Embedded C, Basics of C++,Basics of
Python,Assembly.
Linux Environment : Linux System calls, IPC mechanisms, Network Programming.
using TCP and UDP sockets.
Target Board : Raspberry Pi 3 B
Microcontrollers : AT89C51, PIC16F877A,Arduino.
Protocols : I2C,UART/USART
Peripherals : ADC-PCF8591, PCF8574, EEPROM_24C32.
Modules : Bluetooth_HC-05, Wifi-ESP8266, RTC-DS1307.
Software Tools : Keil, Proteus, MPlab, ArduinoIDE.
Operating systems : Windows, Linux-Ubuntu.
PROJECTS DETAILS
Face recognition using Raspberry Pi
Tools : VNC and Putty
Description
Face detection is a computer vision technology that helps to locate/visualize human faces in digital images. This technique is a specific use case of object detection technology that deals with detecting instances of semantic objects of a certain class (such as humans, buildings or cars) in digital images and videos. With the advent of technology, face detection has gained a lot of importance especially in fields like photography, security, and marketing.
IOT BASED SMART HOME USING ARDUINO
Tools : Arduino IDE
Protocols : UART
Description
A smart home can be built using this project and can be used to control the home appliances via internet. This home automation device can be integrated with almost all the home appliances and can be used to control them remotely from any part of the world.
To facilitate the wireless connectivity with the system, the Arduino Uno will be embedded with a Wi-Fi module. This establishes the internet connection to the system and all the home appliances can in turn be connected and controlled by internet.
IMPLEMENTATION OF I2C AND UART PROTOCOLS USING RASPBERRY PI 3
Platform : Linux
Protocols : I2C and UART
Description
This Project describes about Raspberry pi to develop ADC driver sensors by using I2C protocol. The Sensors monitors continuously and it gives input to ADC. Here Raspberry pi access the Digital values from ADC and transmit this values to the Bluetooth Terminal by using UART Protocol. We monitor these values in Android app.
BLUETOOTH BASED HOME AUTOMATION
Tools : Keil, Proteus
Duration : One month
Description
In this project we used AT89S52 microcontroller along with Bluetooth module HC-05, to control the ac loads using android mobile. This project works under UART Serial communication protocol. The microcontroller will take the transmitted number from smart phone and compares it with the preexisting codes. If matches it will switch on particular relay to power on the load.
MILITARY SURVEILLANCE CAR
Tools : Keil, Proteus
Duration : Two months
Description
We designed a robot car by using servo motors .Which can go around the area and detects any metals over there and sounds the Buzzer if any found. This project based on metal proximity sensor (TDA0161). The robot works on portable battery which is on the board.
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