Welcome to my Portfolio!!!
A post graduate in Electrical Engineering with decent intelligence quotient
Machine Learning enthusiast learning XR technologies for gaming engines
Self motivated with zeal to effectively identify, learn and solve problems
Interested in projects to meet the design & development needs of industry
- Developing XR core technology for ultra low-latency, power efficient & small form factor to wear
- Rendering virtual objects with sense of real one and to provide new expression of reality
- Contributing to content creation to realize new generation of the conten production workflow
- Integrating XR prototype system and showing its technical demo applications with game engines
Institute Research Assistant in Wadhwani Electronics Lab (WEL) to assist in all the major electronics hardware activities (lab courses and projects) of the EE department at IIT Bombay.
Project dealt with work on classification of KYC documents and OCR extraction project using Neural Network concepts of machine learning.
Business Consultant to analyze the business processes to devise a solution that can help a business grow and become profitable. To automate a process to improve product and service reliability.
Worked as Electrical Engineering Expert which deals in helping electrical community all over the world to understand engineering concepts, its problems and potential solutions.
Job profile includes Patent searching, Infringement, in-validity and portolio evaluation.
Servo Control System design two axes Gimbal Assembly which is used for tracking purposes with precision, accuracy and fast response.
Preparation of instrument data sheet, Material requistion for procurement of various instruments and technical bid analysis papers to contribute for Aishwarya Project, Haldia Refinery (IOCL).
Power system protection and switch gear control was studied using single line diagram for design.
CPI- 9.9
Spring (2020-21, SPI-10):
II Stage Project: Electrical Impedance Tomography Imaging With Neural Networks, High Performance Scientific Computing
Autumn (2020-21, SPI-10):
I Stage Project: Smart Energy Autonomous Miniaturized Sensors, Geospatial Predictive Modelling
Spring (2019-20, SPI-10):
Digital Protection of Power Systems, Systems Design, Processor Design, Introduction to Machine Learning
Autumn (2019-20, SPI-9):
Control and Computational Laboratory, Computer Aided Power System Analysis, VLSI Design, Seminar-Digital and Analog Hybrid Computers
Spring (2018-19, SPI-10):
Power Electronics - II, V L S I Design Lab, Embedded Systems Design, High Power Converters and their Utility Applications
Autumn (2018-19, SPI-10):
Power Electronics - I, Power Systems & Power Electronics Laboratory, Microprocessor Applications in Power Electronics, Communication Skills
Agg-80.14%
SEMESTER 8 (January – May 2017, Marks: 85.87%):
Utilization of Electrical Energy, Power System Operation and Control, Computer Control of Processes.
SEMESTER 7 (August – December 2016, Marks: 84.13%):
Control System- II, Non Conventional Energy Systems, HVDC Transmission Systems, Restructured Power System.
SEMESTER 6 (January – May 2016, Marks: 81.20%):
Electrical Drives and their applications, Micro controllers and Embedded systems, Computer Architecture, Communication systems, Electrical Machines-III.
SEMESTER 5 (August – December 2015, Marks: 78.73%):
Power Electronics ,Control Systems, Data Communication and Computer Networks, Digital Signal Processing, Microprocessor and Applications.
SEMESTER 4 ( January - May 2015, Marks: 77.97%):
Linear Integrated Circuits Communication systems-I , Digital Circuit and Systems, Power Systems- II , Electrical Machines-II , Electromagnetic field theory.
SEMESTER 3 (August – December 2014, Marks: 70.07%):
Electronic Devices and Circuits , Electrical Machines-I , Network Analysis and Synthesis ,Power Systems, Electrical and Electronic Measurement , Engineering Economics.
SEMESTER 2 (August – May 2014, Marks: 76.07%):
Mathematics-II , Environmental Sciences , Applied Physics- II, Engineering Materials, Basic Mechanical Engineering , Programming Fundamentals.
SEMESTER 1 (August – December 2013, Marks: 76.33%):
Mathematics-I , Communication Skills , Applied Physics-I Applied Chemistry , Electrical Sciences , Fundamentals of Information Technology.
Developing a foundation for Japanese language skills for future business
Developing the Japanese language communication skills for living in Japan
A non-invasive, non-radiant, low latency, simple equipment medical imaging technology
Developing continuous monitoring of ventilation & conductivity estimation system
Improving quality of reconstructed images via Neural Networks over conventional methods
3D thorax imaging is optimised using bit quantisation & multiplier-less arithmetic
To partition different image pixels into K clusters with nearest mean for size compression
Using OpenCV for image handling & C++/CUDA code for K-means clustering on images
Performance analysis of serial & parallel code execution by OpenMP, MPI & CUDA
Developing RFID sensors based 3 point star network for signal propagation in soil & water
Modelled & simulated EM, MI (magnetic induction) & waveguide based signal propagation
Reduction in path loss by 81% for 5m space between coils for resonating MI waveguide
Hardware by integrating various subsystems for smart sensor’s data & power transfer
Optical Character Recognition (OCR) is used to convert scanned images to text.
Building a model for OCR with regions of an image detection.
Using Vott for data tagging and labeling.
Converting the labelled data to Yolo v3 Format
Training on Darknet framework to crop regions from the original image.
OCR wrapers- Tesseract and Py-tesseract are used to obtain selective text.
Estimation of non-invasive haemoglobin & blood glucose level from PPG signal
Extracted feautres from PPG signal conditioning correlated to a health target
Realised Principal Component Analysis (PCA) with 95% of retained variance
Estimated a model by test-train-valid split to minimise mean square error to 0.01
Identified certain limitations faced by computers in solving real time simulation problems
Numerical methods of solving differential equations takes many iterations to converge
Proposed scheme for data flow in digital domain while ALU & oscillators in analog domain
Mapped simulation models on hybrid architecture for solving ODEs in continuous time
Designing a Dadda multiplier for unsigned 16x16 bit multiplication in synthesizable VHDL.
A Brent Kung adder is implemented for the final addition in Dadda multiplier algorithm.
A high speed & area efficient multiplier with low power consumption.
Implementing a classifier to predict whether an employee will leave the company or not.
Data processing to encode, scale, remove redundant features, etc to define a better model.
Cross validation and train-test spliting are compared to improve the model training.
Synthesizable VHDL implementation of logarithmic adder using Brent Kung achitecture.
Addition of two 32 bit operands.
Log2N levels of logic- making it a fast adder.
Low gate count- used for low power applications.
Using ngspice, designing a minimum sized CMOS inverter.
Making the rise time and the fall time equal for some load capacitance.
Evaluating the inverter delay for different fanouts (DUT with 1, 2, 3, . . . 8 inverters).
Concluding the concept of logical effort.
A brute force algorithm on hardware is used to solve a sudoku.
When a valid fill is not found backtracking is done.
Backtracking is repeated until last number is a valid guess i.e guess out of 1 to 9.
Digital logic realised using priority encoders and multiplexers.
SVMs, are a set of supervised learning methods used for classification, regression and outliers detection.
Writing a learning algorithm for classification analysis.
Source code includes kernel identification and its implementation as well.
An embeded system with a user friendly GUI, web page hosted over server.
Optimizing the intensity of a LED light fixature with logarithmic variation of light
Controlling the speed of fan for a particular work station.
Regulated Power Supply Design +15V,-15V and +5V, 1 A current rating.
DC-DC Buck Converter Design : 30W, 32V to 12V (2% ripple at voltage output).
STATCOM with State vector modulated inverter
-Regulate midpoint voltage of a 220KV transmission line using vector control.
Static Var Compensator using TSC & FC-TCR
-Regulate the voltage of a 220KV transmission line from 0.7pu to 1.3pu with apt. filtering.
Frequency component extraction using reference frame transformation.
Sine and cosine wave generation at the appropriate frequencies using harmonic oscillator.
Low pass filter and PI regulator for appropriate PLL action.
Power supply to emulate a photo voltaic panel behaviour irrespective of load characterstic.
Emulate current-voltage (I-V) curve based on irradiance and temperature.
The MPPT by closed loop boost converter to extract the minimum possible power.
Implementation of closed loop speed control of DC motor
Using PD controller on PLC and development of HMI using SCADA.
At Project and Research Lab, Delhi Technological University.
Open circuit & Short circuit testing process automation
To resolve the problem of high voltage vicnity
At Project and Research Lab.