Learning Structured Sparce Recovery

  • Proposed, implemented Q-leaning agent to recover model for sparse compressive sensing.
  • Agent trained for 15k iterations outperforms the individual baseline algorithms for several underlying graph based models.


Online Meeting Scheduler

  • Worked in a team of six with scrum framework to build an online service to find optimal meeting time for large groups using Rails
  • Scaled with server side caching and optimized database queries to handle 50k+ users/min.

Code - Report - Presentation

Electricity Generation Prediction Model (Jan-May’19 - In collaboration with govt. of India)

  • Built and compared multiple generation prediction models (time series analysis).
  • Yielded over 75% accuracy with 5 years of training data

Python Garbage Collector Analysis

  • Understood internal functionality and parameters for Python and PyPy GC.
  • Created custom visualizer to examine performance effects with parameters.
  • Compared performance with state-of-the-art GC algorithms.


Blockchain Model

  • Developed and implemented a distributed consensus protocol (algorithm) for distributed ledger (Blockchain).
  • 1000+ lines of code in Python with socket programming and multiprocessing.


Anonymous Elections on Blockchains

  • Developed and implemented anonymous voting protocol to conceal the voter identities using zero-knowledge proofs.
  • Python implementation of the protocol scaled efficiently on a private ethereum network with only a linear time overhead compared to the conspicuous protocol.

Code - Report - Presentation