Jan 2025 – Apr 2025 · 3 mos · Vancouver, British Columbia, Canada

• Teaching Assistant for CPEN400Q: Topics in Computer Engineering: Gate-model quantum computing

Sep 2023 – Present · 2 yrs 8 mos · Vancouver, British Columbia, Canada

• Currently researching compilation strategies for distributed spin-qubit quantum computers

Aug 2022 – Dec 2022 · 4 mos · Remote

• Developed a mathematical framework to implement a quantum version of the classical Nim game, using Quantum Fourier Transform in combination with the Amplitude Amplification algorithm.
• Created a game UI using pygame, in which a player can play QNim against IBM's quantum simulator, with the flexibility of choosing turn and board configuration.
• Created a CHAT UI, where a player can select the opponent to play Nim, either a ChatGPT or Quantum Simulator.

Jul 2021 – Jul 2023 · 2 yrs

• Automated various tasks such as sharing weekend change reports, weekend runbooks, CAB reports, performing sanity checks and SOW checks. This helped in considerably reducing the manual touch points.
• Automations were performed with the help of various libraries in Python and were deployed on Airflow.

Mar 2021 – Jun 2021 · 3 mos

• Developed quantum neural networks for decision making in stock trading.

Dec 2020 – Dec 2020 · 0 mo

• Performed experimental analysis of the effect of Shor's algorithm on the security of RSA and Rabin cryptosystems, which are based on products of large primes for key generation. Experiments were performed in qiskit library in python and a 32-bit ibm_qasm_simulator was used as a backend from IBM.

May 2020 – Jun 2020 · 1 mo

• Developed a tool for analyzing historical data based on various input parameters.
• This was achieved with the help of JAVA EE technologies.
• MySQL was used for database management and JDBC was used to establish connection between MySQL and JAVA.
• JSP was used for creating the website.

May 2019 – Jun 2019 · 1 mo · Nagpur Area, India

• Project on Stock Analysis using deep learning. The project involved modeling LSTM Neural Network to predict and analyse different stock trends.