Delhi, Greater Noida

+91 991 002 5524

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Mr. Vaseem Durrani Founder & Director

Mr. Vaseem Durrani with 11+ yrs of experience in Software, Embedded Systems, AI, Robotics. He is an M. Tech (Software Systems).

  • QualificationM. Tech Software Systems
  • Email Id[email protected]
  • IndustrySoftware, Embedded Systems, AI, Robotics
  • Experience11+ years
  • Course Conducted underMachine Learning, IoT, Embedded Systems, Python, R,
  • PBLMATLAB, Robotics, ARM7, C


Matlab, Python, Robotics, Embedded Systems, C, Machine Learning

Expertise Areas

Image Processing , Audio Processing, Embedded automation and control, simulation, software development, Product development

Core skills and abilities

Excellent Training capabilities, Python , C, RTOS, MATLAB, Embedded C, R, Embedded Systems, Robotics, Automation, IoT, AI

Training History

  1. Vishwaniketan (Vimeet) – 40+ PBL completed
  2. HMR College (Delhi) – 30+ PBL completed
  3. SIT (Ichalkarnji) – 10+ PBL completed
  4. SVERI (Pandharpur) – 5+ PBL completed
  5. SKN (Pandharpur) – 7+ PBL completed
  6. PIET(Panipat) – 2+ PBL completed
  7. Galgotia (Grater Noida) – 2+ PBL completed
  8. DTC (Greater Noida) – 3+ PBL completed
  9. Hindu college of engineering: 2+ PBL completed
  10. GTBIT (Delhi) – 1+ PBL completed
  11. DTU – 1+ PBL completed

Project Handled/Undertaken

Client: livwize

Home automation product with AI implementation

Cline: Indian SME

Transformer winding machine complete software development

Client: Indian SME

Design and implementation of Automated Washing machine using WIFI (POC)

Client: UK based

Design and Development of RFID based transaction ID system (POC)

Client: Indian SME

Design and development of BARCODE based inventory management system.

Client: Indian SME

Design and development of Pair Trading (Auto Trading) software on MATLAB platform

Glance of Thesis Project Experiences

All the thesis, have been exclusively implemented in the different MATLAB development environments (such as: Scripting, Simulink and GUI) and Python using various modules.

  1. Face Recognition using GABOR Filter with SVM and neural networks.
  2. Facial Emotion Recognition using GABOR Algorithm (Happy, SAD, ANGER, NEUTRAL mood).
  3. Image Watermarking using 3 level dwt technique, dwt-SVD, LSB.
  4. Image Edge Detection using Ant Colony optimization.
  5. Speaker Recognition using MFCC and SVM technique.
  6. EEG and ECG signal Noise removal using EMD Algorithm.



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