Dec 2022 – Feb 2023 · 2 mos · Kanpur, Uttar Pradesh, India · Hybrid

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India

• Integrating auto fill feature by efficiently reusing user data with UBER
• Devised efficient method to store data, achieving 92.6% reduction in space by decreasing table join size from 175M} to 13M
• Built RPC APIs reducing the query time from 250ms to 10ms with Redis
• Built tree based form rendering system, enabling dynamic constraint forms and reduce effort of new constraints from multiple to 2 changes
• Made form flow visualizer using Graphviz, eliminating config reading

Feb 2022 – Apr 2022 · 2 mos · Bengaluru, Karnataka, India

• Built a custom and reliable recommendation system for recommending which student interns are best suited for each company. Used seaborn and matplotlib to get business insights on the data and generated supporting statistics to show what is the current trend and which machine learning modelling will be good for the mentioned use case. Recommendation Systems as a service provided by several cloud services have been explored and accuracy weighed against the proposed architecture. Built and end to end architecture using python and deployed the model on and EC2 instance with end point exposed using Flask. Data has been fetched and model trained using efficient APIs built with pymongo and scheduled using Cron scheduler. Custom tests and logging services written to monitor the metrics of the model after re-training.

Jul 2021 – Jul 2021 · 0 mo

• Selected in amazon's integrated learning program on key Machine Learning topics with practical industry applications through an immersive experience with professional Amazon Scientists having years of experience in the related domain. Gained core knowledge and new concepts about some key ML topics including Supervised Learning, Deep Neural Networks, Dimensionality Reduction, Unsupervised Learning, Probabilistic Graphical Models and Sequential Learning, with real life examples as to how are they being used in Amazon's day to day ML practices.

May 2021 – Present · 5 yrs

Mar 2019 – May 2021 · 2 yrs 2 mos

• Leading the Group of programming Enthusiasts who not only work on ongoing and new projects of open source but also actively host workshops to promote and spread awareness about open source and its benefits.

Jan 2019 – Mar 2019 · 2 mos

• Group of programming Enthusiasts who not only work on ongoing and new projects of open source but also actively host workshop to promote and spread awareness about open source and its benefits.

Apr 2021 – Jun 2022 · 1 yr 2 mos · Kharagpur subdivision, India

Dec 2020 – Dec 2022 · 2 yrs · India

Jul 2020 – Sep 2020 · 2 mos · India

• Implemented a recommendation system from scratch using the Light FM Framework, and built the supporting REST APIs in Node JS using MongoDB as the database. Also, build some Big Query queries for business analytics purpose

Sep 2019 – Sep 2020 · 1 yr · Kharagpur I, India

Jul 2019 – Jul 2020 · 1 yr · Kharagpur I, India