Designed machine learning models to estimate the probability of train tickets getting confirmed.The models reached a precision of 96% and a recall of 92%.The non-confirmed tickets are guaranteed a flight ticket against a small premium. The models created an overall positive expected return for the company.

• Accounting softwareDesigned the system to manage accounting and inventory for the small and medium scale businesses.The product on-boarded 10 businesses having 750-1000 clients each.• AptologyDesigned the system to screen candidates for a role by evaluating the survey filled by them. It analyses their personality traits and finds the best fit.It has been used for more than 100 job profiles and 10000 candidates.

Got admitted to the PhD program with the top research funding organization in France (CNRS) on a full scholarship.Performed two years of studies before exiting the program due to COVID-19 impact.The focus of my thesis was to develop dynamic networks where the number of layers / architecture in a deep learning network can vary dynamically according to the difficulty of the data (images and videos) to be processed.Devised a gating mechanism that could select different… Show more Got admitted to the PhD program with the top research funding organization in France (CNRS) on a full scholarship.Performed two years of studies before exiting the program due to COVID-19 impact.The focus of my thesis was to develop dynamic networks where the number of layers / architecture in a deep learning network can vary dynamically according to the difficulty of the data (images and videos) to be processed.Devised a gating mechanism that could select different parts of the convolutional neural network (CNN).Experimented extensively and achieved a relative improvement of 4% on the classification task.Achieved a relative improvement of 10%-12% on depth inference task from a single image. Show less

• State-of-the-Art-ReportPublished a report to summarise around 500+ research papers for a variety of applications such as object classification, detection and improvising techniques such as self-supervised learning, online learning, etc.The report has been cited 90+ times.• Original Research WorkEnhanced the existing state-of-the-art deep learning architecture on object detection to improve performance on datasets with fewer training data by 3% in absolute… Show more • State-of-the-Art-ReportPublished a report to summarise around 500+ research papers for a variety of applications such as object classification, detection and improvising techniques such as self-supervised learning, online learning, etc.The report has been cited 90+ times.• Original Research WorkEnhanced the existing state-of-the-art deep learning architecture on object detection to improve performance on datasets with fewer training data by 3% in absolute terms.Came up with the idea, experimented a wide variety of configurations and wrote the resulting paper.The paper was accepted in ICPR 2020. Show less

• Addition of new features: Built new back-end libraries in C, C++ for the rail product.Added new features in the rail product - Add Complex Itineraries, Cancel Complex Itineraries, Cancel Per Pax, Open Ticket, Split Per Party, Seat And Berth Preferences, Immediate Distribution of Tickets, VAT Exclusion, Resend Tickets and New Supplements.• Addition of new client: Part of the design team to add a new client for Rails product. Added enhancements for method of… Show more • Addition of new features: Built new back-end libraries in C, C++ for the rail product.Added new features in the rail product - Add Complex Itineraries, Cancel Complex Itineraries, Cancel Per Pax, Open Ticket, Split Per Party, Seat And Berth Preferences, Immediate Distribution of Tickets, VAT Exclusion, Resend Tickets and New Supplements.• Addition of new client: Part of the design team to add a new client for Rails product. Added enhancements for method of deliveries, corporate codes, seat merchandising, fares, special supplements, cancellation policy and purchase conditions. Later worked on adapting the APIs with the new client's infrastructure.• API migration: Migrated Rails back-end for Shopping, Booking, Ticketing and After Sales to the new client's infrastructure. Updated all the APIs as well as conducted black-box testing in all pre-production and production environments. Show less