SHIWANI MANHAS

E-mail: addjeh@r.postjobfree.com

Phone: +91-968*******

EDUCATIONAL QUALIFICATIONS

Year Degree/Certificate Institute/School CGPA / %

****-**** *. **** -*** LNM Institute of Information Technology 9.17/10.00 2015 12th-CBSE Jawahar Navodaya Vidyalaya SilI,Silvassa 89.90/100.00 2013 10th-CBSE Jawahar Navodaya Vidyalaya Basohli,J&K 10.00/10.00 TECHNICAL SKILLS:

Microcontrollers: 8085 Microcontroller,8086 Microprocessor, STM32,dsPIC33EP64GS504, dsPIC33CH128MP508 (16bits). Programming: C, VHDL,Embedded C, Assembly Language. Protocols and Peripherals: I2C,ADC,SPI,UART,PWM,DAC. Software: MATLAB, Cadence-Virtuoso, Xilinx ise, XC16,Multisim,IAR Systems, KEIL, MPLAB, Attolic, XCTU.

Boards: FPGA Basys2, Arduino Uno, Raspberry Pi.

Experiences and internship

“Lithion Power Pvt. Ltd.” as Embedded Engineer Dec 2018 - Currently Datalogger (Telemetry system for the BMS(Battery management system of EVehicles) Product Algorithm Designing and Developing firmware for the telemetry system along with hardware team.

Algo: Embedded C language, Scheduling Tasks, GSM/GPS. Testing of the Datalogger system, BOM tracking.

Controller used: STM32, PCB Tracking, Designing Schematics Battery Management System: 4-Cell Li-ion battery

Developed the hardware /software for the BMS as per requirements. Testing, debugging and calibration of the BMS using IAR Embedded Workbench. Maintenance of testing Zig for BMS functional testing and voltage/current Calibration.

Code Language: Embedded C

IDE used: IAR Embedded Workbench .Controller used for BMS is STM32. PROJECTS

“A Unified Embedding For Facial Recognition” Jan 2018-Dec 2018

The aim of this project is to create an embedding for the face which is capable of processing facial pictures rapidly fast and quickly with low error rates.

Two approaches have been used one is based on machine learning with manual feature extraction i.e. using hand crafted features for face detection and second

one is based on deep learning which will learn the facial features representation by on it’s own.

In machine learning based approach Viola-Jones algorithm has been implemented.

“Smart Lecture Hall” May 2017-July 2017

The aim of the project is to control the Fans (according to the humidity measured), Mic(automatically increase the sound of the mic as the noise comes into picture) i.e by clapping in the lecture halls. Bme280 is used to check the humidity of the atmosphere and then relay with motor is used to automatically rotate the fan. Used the Bluetooth Module to setup communication between two Arduino’s .

“Fastest Finger First Indicator” March 2016 -April 2016

The aim of the project is to check the reaction time of the player. When a contestant presses his switch, the corresponding output of latch IC2 (7475) changes its logic state from 1 to 0. The combinational circuit comprising dual 4-input NAND gates of IC3 (7420) locks out subsequent entries by producing the appropriate latch-disable signal. POSITIONS OF RESPONSIBILITY

Associate General Secretary of Science and Tech Council LNMIIT . 2017-2018 Teacher Assistant of Electronics 1 Lab, Electronics 2 Lab, Physics Lab. 2016-2017

Member of the Counselling Cell of LNMIIT. 2016-2017 Active Member of the Robotics Club. 2016-2017

Coordinator of Table Tennis LNMIIT. 2016-2017

EXTRA CURRICULAR ACTIVITIES

Sports Played in Desportivos, college fest of LNMIIT 2016-2017 Played in Under 14 Regional level of Table Tennis. 2011-2012 Singing Participated in Rubaroo’15 freshers night. 2015-2016 Dancing Participated in school level 2015-2016

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