Bio
I am working as a Research Scientist in the Last Mile Science team at Amazon.
I defended my PhD thesis on Advances in Tactical Planning Decision Problems in Trucking Service Networks. My thesis was supervised by my advisor Dr. Alan Erera at ISyE Georgia Tech.
I completed my undergraduate degree from the Indian Institute of Technology Kharagpur, with a B.Tech in Industrial and Systems Engineering. My undergraduate thesis was based on Risk Propagation in Supply Chain Networks under the supervision of Dr. M. K. Tiwari. Next, I worked as an Operations Research consultant at TCG Digital, Kolkata.
News
[May 2025] | My paper on Outbound Load Planning in Parcel Delivery Service Networks has been accepted in Transportation Science. |
[March 2025] | My paper on Robust Outbound Load Planning with Volume Splitting for Parcel Carriers has been accepted for presentation at Tristan 2025 and the INFORMS Annual Meeting 2025. |
[Jan 2025] | My paper on Cross-dock Trailer Scheduling has been accepted in Transportation Science. |
[Jan 2024] | I presented my work on Exact Algorithms for Large-scale Airline Schedule Design at the Odysseus Conference in May 2024. |
[May 2023] | I presented my work on Optimization-based learning for Outbound Load Planning Problems in Trucking Service Networks at the INFORMS Annual Meeting 2023. |
[May 2023] | I was selected as the AY23-24 Leadership Fellow in the Georgia Tech Leadership Fellows Program. |
[May 2023] | I was awarded the US NSF-sponsored PhD student travel grant to attend the TSL Conference 2023 in Chicago. |
[March 2023] | I presented my work on Optimization-based Learning for Load Plan Modification in Service Networks at the INFORMS Transportation Science and Logistics (TSL) Conference 2023. |
[May 2022] | I presented my work on Outbound Tactical Load Plan Modification in Service Networks at the INFORMS Annual Meeting 2022. |
[May 2022] | I presented my work on Iterative Exact Algorithms for Unrelated Parallel Machine Scheduling at the MIP Workshop 2022. |
[Feb 2022] | I worked as an Applied Scientist intern in the Amazon Devices Optimization Services team in Summer 2022. |