Gautam Balkrishna Menon

Highly motivated and detail-oriented B. Tech third year student with a strong foundation in Engineering principles like VLSI design, Signal Processing. Very hardworking and eager to explore novel methods for problem. Love solving coding problems on Leetcode. Seeking an opportunity to apply my skills in the fields of Communication and Robotics Eng. Successfully completed the Minor degree course in Computer Science.

• Volleyball (School team)
• Electric Organ (proficient in electric organ keyboard, trained for three years and passed with distinction)
• Badminton
• Football

• Pesu IO Course- 3D Animation on the Web with Three.js and WebXR
• Pesu IO Course- Machine Learning Neural Network- Growth Acceleration Program
• Online Machine Learning course (Externs club)
• Hackathon - Secured first position in 'Quite Quitting' Psycho-hackathon
• Hackathon - Last Resort, Agrathon Hackezee- Following Medicine Robot
• Hackathon (DotSlash 5.0)- Rubber Ducky using Raspberry Pi
• Hackathon (Graviton 2.0) - DOS attack ML Detection
• Participated in national robotics competition E-yantra

• Designed a medicine robot to aid patients which delivers medicine to patients in ward, which is done by line following method using ultrasonic sensors or via a TV remote using inbuilt infrared sensors.
• Modeled a basic robot using Rviz for robotics assignment.
• Created a home security system that can detect object at the front door which opens the doors, on the lights etc (home automation mini project)
• Performed a mini project about Encryption of image by swapping adjacent pixels of image.
• Developed a new business model named 'Trophy Road' which aims to reward employees for efforts put into the company. This was completed for Psycho-Hackathon.
• Developed an agriculture system (for Agrothon Hackathon) which allowed it to grow multiple crops on the same area.
• Using Raspberry Pi as a Rubber Ducky managed to capture Data from a game using openGL to make the game play by itself without human input. This concept can be used as a business model to aid the disabled to perform computer tasks without human input.
• Worked on a method to detect DDOS attacks using an ML model which displays an alert on your PC if a DOS attack is detected.

Throughput prediction using ML model in WLAN: The project is centered around developing a model that can accurately predict the performance of stations and access points within an overlapping basic service set (OBSS) environment. GAT model used to predict 4 parameters : RSSI , Throughput Airtime and Interfearance in multiple scenarios of different map sizes and different number of Access points. Model trained using data produced by Komondor simulator. Predicted parameters further boiled down to a single performance parameter which is done by the method of PCA. Clients can use our model to visualize performance under different circumstances which is reinforced with an interative website.

Cardiac Design Labs, Electronics, Developed a new more efficient design for the ECG device using Cadence Allegro. Also performed functional testing of older ECG device models.

Received Distinction certificate for all semesters 1 to 5

Received scholarship certificate in semester 6 (within top 20%)

Top 10 in Graviton and Hackez (Electronics Hacktathon).

Third place in Agrothon.

Won first place in psychology Hackathon