He has done masters in VLSI Design and Embedded Systems . Trained more than 20 k students
Arduino, Raspberry Pi, Ordoid XU4, PIC 16F877,
NI DAQ, APM, Altera DE2, Zed Board.
C, Python, Verilog HDL, C#, Winwrap.
Keras, Tensorflow, Spacy, Beautifulsoup,
OpenCV, NumPy, Scikit-Learn, Pandas, Seaborn etc.
- Adobe Photoshop, AfterEffects and SoundBooth,
- Machine Learning 90%
- Deep Neural Networks 80%
- Python 85%
- Embedded System 95%
- FPGA 60%
Master of Engineering in VLSI Design
and Embedded Systems
1. Published a
paper titled “Smart Autonomous Gardening Rover with Plant Recognition using
Neural Networks” in International Conference on Advances in computing and
2. Presented and
Published a paper titled “Static Gesture Recognition based Precise
positioning of 6 DOF Robotic Arm using FPGA”, in International Conference
on Trends in Industrial Measurements and Automation, 2017.
3. Presented and
published paper titled “Vision Based Feature Diagnosis for Automobile
Instrument Cluster using Machine Learning”, in International Conference on
Signal Processing, Communication and Networking, 2017.
4. Published a paper
titled “Analyzing ConvNet Depth for Deep Face Recognition” – in CVIP-2017,
5. Presented and Published a white paper
titled “Multilingual String Verification for Automotive Instrument Cluster
Using Artificial Intelligence” – in Step In Summit – 2018