Manoj Dhumal

Linkedin.com/in/manojdhumal** admcw5@r.postjobfree.com github.com/manojdjhumal24

+91-997******* / 982-***-****

CAREER OBJECTIVE

I am very much interested and looking forward to involve in Real World Projects.

I want to work with a team where I can apply my knowledge and gain practical and professional experience.

Currently seeking opportunity in the field of my interest – ADAS, EV and AI, Machine learning, Computer Vision, Embedded systems, MBD, that will allow me to utilize my engineering skills and as well as help me to improve my career growth

EXPERIENCE

Decibels Lab Pvt Ltd (Engineer Intern) Bangalore Project: 1. Modelling The Overtaking Assistance Systems (ADAS Systems) Nov 2020 – Dec 2020 Adhere to MBD Standard, majorly based on RADAR, LIDAR Sensors. These design to increase safety Cars of driving systems. These totally based on Embedded Control. (Adaptive Cruise Control, Autonomous Emergency Braking, Blind Spot Detection, Forward & Rear Collision Warning Systems, Lane Change Assist, Cross traffic alert, Intelligent Parking Assistance. Evalution framework Including Sub-Models, Perform Model In Loop Simulation.

Project: 2. Cruise Control Model Functionality

Advanced sensor simulation, Strong visualization features, Scenario-driven development, Traffic and environment modelling, MIL, SIL, HIL applications

1.BMS for Electric Vehicle.

2.Peripheral Device Driver (ADC, CAN, I2C, SPI, UART, USB) using STM32, TI Microcontroller communicate with PMSM motor, BMS, Vehicle Control Unit.

3.Model Based Design Simulink using MATLAB Tool for Battery management systems control the Cell balancing . TECHNICAL SKILLS

Language: C, C++, Embedded C, Python, Machine Learning, Deep Learning

Tool: Eclipse, Jupyter, Keil, MATLAB, Python, Pycharm, STM32CubeMX, STM32 IDE, Xilinx.

Framework: Keras, MXNet, Pytorch, Scikit-learn, Tensoflow.

Board: ARM Development (ST = Nucleo Kit, Discovery Kit, TI= Luanchpad kit), Raspberry Pi.

Technical Electives: Design & Engineering of Intelligence Network Science, Embedded logic Device, SOC, RTOS, Computer Architecture, Control System, DSP, VHDL, Verilog.

Communication Protocol: (ADC, CAN, FlexRay, I2C, SPI, UART, USB ) INTERESTS

• NLP Speech Recognition, • Predictive Analysis, Data Visualization • Data Analytics and Data mining.

• Model Development • ARM Integration, Processors, • SOC Architecture, IP Implementation • Sensors and Design Verification. • Embedded Firmware, Device Driver • Model Based Design Simulink • FPGA • ASIC EDUCATION QUALIFICATION

Centre for Development Advance Computing, Mohali (7.5 CGPA) M.Tech ECE (Embedded Systems) 2020

Sinhgad Institute of Technology, Pune

B.E ECE (Electronics & Telecommunication) 2018

PROJECTS

Facial Emotion Recognition and Classification Based on Deep Network.

• The CNN for detecting facial emotions and the LBP classifier for frontal face detection.

• The first application was built to detect facial emotions in real time webcam feed.

• The second application was built to detect facial emotions in a given video.

• The third application was built to detect facial emotion of the images on a computer screen.

Traffic Sign Classification Using CNN.

• Traffic Sign dataset using the Keras API and creates a class 43 based upon dataset explore and Visualize The dataset, convert image to grayscale to perform normalization.

• Train and validate the model and optimize the model using hyperparameter a Training accuracy 93.90% And Validation accuracy 99%.

Online Shopper’s Intension.

• The objective of our project is to predict online shopper’s Intention on E-commerce website to classify is customer going to purchase something or not.

• Done by treating the outlier’s in the dataset, followed by understanding the relation between the what type actions taken by customer’s on that website page to make revenue.

• We trained various supervised ML, algorithms on a sufficiently large amount of observations.

House Price Prediction.

• The main aim of project is to predict sale price of house on the basis of various parameter’s.

• Here I treated missing values and applied various supervised machine learning algorithms by reducing the dimensionality of the data and used ensemble techniques. ACHIEVEMENTS AND CERTIFICATIONS

Certificate for completion of Electric Vehicle Technology.

Certificate for completion of Autonomous Vehicle Modelling Simulation.

Certificate for completion of Machine Learning Specialization The course conducted by Electronics & ICT Academy IIT Roorkee in association with cloudxlab.

Certificate for completion of Python

The course conducted by Electronics & ICT Academy IIT Roorkee in association with cloudxlab.

Certificate for completion of Deep Learning

The course conducted by Electronics & ICT Academy IIT Roorkee in association with cloudxlab.

Certification of FDP in “VLSI Chip Design Hands on using open source EDA” at IIT Roorkee.

Certification of FDP in “Advancements in Signal Processing and optimization Techniques” at IIT Roorkee.

Certificate for completion of CPP training This training is offered by the spoken tutorial project, IIT Bombay, funded by National Mission on Education through ICT, MHRD, Govt of India.

Succesfully completion of SCTS course (C, C++, SQL) Specialization Seed Infotech Mumbai. HOBBIES AND ACTIVITIES

1.Playing Sports Like (Cricket, Football)

2.Travelling & Adventure

3.Listening to Music

DECLARATION

I here by declare that the information furnished is true to the best of my knowledge and exposure. Place:

Date: (Manoj Balaji Dhumal)

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