Oct 2021 – Jul 2023 · 1 yr 9 mos

• Managed a portfolio of $10M where returns were generated on assets such as BTC, ETH, SOL, MATIC, AXS, and stablecoins using DeFi investment strategies across LPing, liquid staking, and options.
• Developed a unique in‐house delta neutral strategy on stablecoins and MATIC to generate low beta returns in the bear market; the strategy could scale to an AUM of $1M.
• Saved millions of dollars of user funds by effectively managing risk across various DeFi protocols, survived UST Debacle and the FTX Fallout.

Jun 2021 – Nov 2021 · 5 mos

Aug 2020 – May 2021 · 9 mos

Jan 2020 – Jun 2020 · 5 mos · Greater Bengaluru Area

May 2019 – Jul 2019 · 2 mos · Bengaluru Area, India

Jan 2019 – Aug 2019 · 7 mos · Greater Ahmedabad Area

Oct 2018 – Feb 2019 · 4 mos

• Tata Power Project: Implemented Optical Character Recognition on the digital electric meters provided by Tata Power Limited to obtain the readings.
• Developed an algorithm that used OpenCV for the noise removal, recursive color quantization, and feature extraction along with the Fast Region- Convolutional Neural Network (Fast RCNN) for the recognition of the Meter Reading.
• Trained my own Tesseract which created its own language of digital digits to recognize the meter readings.
• Created my own Haar Cascade Trainer to detect the LCD on the electric meters.
• Enhanced Data Visualization: Developed an algorithm for the enhanced visualization of any clustered based dataset given by the user using the t-SNE model in Python.

May 2018 – Jun 2018 · 1 mo · Gandhinagar, Gujarat, India

• Cloud-based Surveillance Project:
• Developed the algorithm for the Real-Time Monitoring of a place that included features like observing and following target movements using an IP PTZ Camera along with Image Processing in Python.
• Created an environment where the processed data can be accessed through the server remotely.
• Real-Time Health Monitoring of Industrial Machine:
• Developed the algorithm to get Real-Time Vibration data from the sensor and analyze the data by an enhanced Fast Fourier Transform Approach to determine the health of the machine using Python and Arduino.

Feb 2018 – Jan 2019 · 11 mos · Gandhinagar, Gujarat, India

• Research Project: Trajectory Planning for Robotic Arm for Automatic Damage Detection & Recognition of First Wall Tile Images in Tokamak using Image Processing and Machine Learning.
• This project is funded by Board of Research and Nuclear Sciences (BRNS) - Department of Atomic Energy and is guided by the Principle Investigators Dr. Swati Jain & Dr. Priyanka Sharma.
• Developed the algorithm for the Automatic Damage Detection (cracks, melted portion, eroded portion) on Wall Tile Images of Tokamak for its maintenance using Image Processing in Python.

Jun 2017 – Feb 2018 · 8 mos · Institute of Technology, Nirma University

• Team CON-SOL-E won the Silver Cup along with 75,000 INR in the Prestigious National Level Competition, III Mitsubishi Electric Cup 2018 whose theme was "Innovative Solutions for Smart Manufacturing".
• Next-Gen Sorter:
• Next-Gen Sorter is an IIOT based Quality Inspection Industrial Machine designed to verify the quality of gears, brake pads.
• As a team member, my contribution was towards the development of algorithm for the Extraction of Parameters (Inner Diameter, Outer Diameter, Height, Number of Teeth) of gears and brake pads with 500 microns accuracy using Image Processing and 3-D Laser Triangulation in Python.
• Created a mobile application that can fetch the obtained parametric results of the automotive objects and worked on Documentation.