Work Experience

Deep Learning Frameworks: PyTorch, TensorFlow, Keras
Programming Languages: Python, Java

Research Interests

Deep learning for computer vision and computer graphics, 3D shape and scene understanding, graph neural networks

Member of Technical Staff (Jul, 2018- Oct, 2018)
- Organization: Adobe, Bangalore, India
- Work:
  - Worked as a full-stack Java Developer
Software Engineer (Aug, 2014 - July, 2015)
- Organization: Persistent Systems, Pune
- Description:
  - Worked as Java Developer

Research Intern (May, 2022 - Dec, 2022)
- Organization: Huawei, Vancouver Canada
- Supervisor: Xuebin Qin
- Work:
  - Working on single-view scene reconstruction.
Research Intern (Mar, 2019 - May, 2019)
- Organization: Max Planck Institute for Software Systems, Kaiserslautern, Germany
- Supervisor: Manuel Gomez Rodriguez
- Work:
  - Using reinforcement learning for Temporal Point Processes to predict buying and selling times of shares to maximize the profit.
Research Intern (May, 2017 - July, 2017)
- Organization: Adobe, Noida
- Supervisor: Balaji Krishnamurthy
- Work:
  - Research on Visual Question Answering (VQA) task.
  - Wrote a survey paper on (back-then) recent methods in VQA: Link to paper
Data Analyst Intern (Dec, 2016)
- Organization: Suzuki, Hamamatsu, Japan
- Supervisor: Shoji Kato-san
- Work:
  - Sentiment analysis of data collected from different social media sites such as Twitter, YouTube, Blog Posts, Online product review sites.
  - Used Radian6 and QlikView for data analysis and visualization.
Summer Intern (June, 2016 - July, 2016)
- Organization: Bosch, Bangalore
- Supervisor: Tony Francis
- Work:
  - Designed machine learning algorithms for analysis of sensor data.