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February ‘21

  • Secured 6th place among 733 participants in Wind-dependent Variables: Predict Wind Speeds of Tropical Storms [Solution] [leaderboad]

January ‘21

  • Paper, “ChipNet: Budget-Aware Pruning with Heaviside Continuous Approximations” accepted at International Conference on Learning Representations (ICLR) 2021

June ‘20

  • Ranked as Kaggle Competitions Master
  • Secured 57th place (Silver) in Jigsaw Multilingual Toxic Comment Classification among 1621 teams
  • Secured 58th place (Silver) in Tweet Sentiment Extraction among 2227 teams

May ‘20

  • Started summer internship at Amazon, India as an Applied Scientist. Worked on developing a language model for flagging non-compliant advertisements

March ‘20

  • Secured 1st place in Endoscopy Computer Vision Workshop, International Symposium on Biomedical Imaging (ISBI) 2020 (segmentation Track)
  • Paper, “Multi-Plateau Ensemble for Endoscopic Artefact Segmentation and Detection” accepted at EndoCV Workshop, IEEE International Symposium on Biomedical Imaging 2020

February ‘20

  • Organised an inclass Kaggle competition, ‘Classify this movie’ for the students of IIT(ISM) Dhanbad. The task was to predict the genre of the movie on the basis of its poster.

November ‘19

  • Ranked as Kaggle Competitions Expert
  • Secured 8th place (Gold) in Severstal: Steel Defect Detection among 2,431 teams [Solution writeup]
  • Secured 82nd place (Bronze) in Understanding Clouds from Satellite Images among 1,538 teams
  • Secured 119th place (Bronze) in RSNA Intracranial Hemorrhage Detection among 1,345 teams

October ‘19

  • 1st Runner-up in the CDAC-Pune AI Hackathon jointly sponsored by NVIDIA, India and Atos for designing a production-ready system for computer-aided diagnosis of chest X-ray scans which was optimized for low-cost inference on the edge devices
  • Paper, “Classification of brain lesions from MRI images using a novel neural network” accepted at Proceedings of SPIE, Multimodal Biomedical Imaging XV 2020

May ‘19

  • Started summer internship at Deep Sight AI Labs as a Computer Vision Engineer. Worked on developing an automated Licence Plate Detection and Recognition system to keep track of vehicles entring and exiting the vicinity

January ‘19

  • Secured 4th position among 1100 participants in Pan IIT Conclave 2019: ML and AI Hackathon held at IIT Delhi

Dececmber ‘18