Software Engineer Intern, Meta (Summer 2022)

• Designed and implemented optimal end-to-end async tasks for filtering and feature extraction from instagram reels

• Reduced average query cost, latency, query per second by 5%, 8% and 20% respectively

Software Development Engineer, Amazon (November '20 to September '21)

• Mandatory TrackingId Validation: Automated update of tracking regexes of logistic parties for better shipping time estimation

• Designed framework for rule engine migration of shipping settings for sellers internationally

Data Scientist, Ola ANI Technologies (July '19 to October '20)

• Designed ML prediction models for preferred car-category, potential cab-pass users, and user premiumness using derived metrics

• Design and maintenance of pipeline for corporate and network business metrics

Student Researcher - Bachelor's Thesis, IIT Guwahati (July '18 to June '19)

• Developed image segmentation and preprocessing algorithm specific to retinal OCT scans

• Designed a novel deep network called SimpleNet with 800x less parameters and 50x faster testing than state of the art

• Outperformed transfer learning models’ accuracy, sensitivity, and specificity metrics by upto 6%, 15% and 6%, respectively

Mitacs Globalink Research Internship, University of Regina (Summer 2018)

• Designed a deep learning framework to localize indoor mobile users in a device heterogeneous scenario

• Outperformed state of the art mean positioning error and new device encounter error by upto 17% and 80%, respectively

Summer Research Internship, Hanyang University ERICA (Summer 2017)

• Designed a probabilistic algorithm to find the optimal transmission probability that maximizes the throughput of CRN

• Simulated the CRN using MATLAB and analyzed the effect of imperfect sensing and multiuser diversity on the throughput