Akshit Kumar

Product Engineer

New York, New York, United States5 yrs 7 mos experience

Highly Stable

Key Highlights

PhD candidate with a focus on marketplace design.
Research experience at top institutions including Amazon and Microsoft.
Strong programming skills across multiple languages.

Stackforce AI infers this person is a Research Scientist with expertise in optimization and algorithm design.

Contact

Skills

Other Skills

Adobe PhotoshopArduinoAutoCADBlenderBootstrapCC++CSSEmbedded LinuxEmbedded SystemsFlaskGitGithubHTMLIllustrator

About

I am a final year PhD student at Columbia Business School. My research interests lie in design and analysis of marketplaces, resource allocation and recommendation systems.

Experience

5 yrs 7 mos

Total Experience

4 yrs 8 mos

Average Tenure

11 mos

Current Experience

Center for algorithms, data, and market design at yale

Postdoctoral Researcher

Jul 2025 – Present · 11 mos · New Haven, Connecticut, United States

Amazon

Research Scientist Intern

Jun 2023 – Sep 2023 · 3 mos · Bellevue, Washington, United States · On-site

Worked on multi-objective tradeoff for fulfillment optimization in Amazon.

Columbia business school

PHD Student

Sep 2020 – May 2025 · 4 yrs 8 mos · New York, New York, United States

University of michigan

Research Associate

Jun 2019 – Aug 2019 · 2 mos · Ann Arbor, MI

Nokia bell labs

Research Intern

May 2018 – Jul 2018 · 2 mos · Paris Area, France

Worked on the problem of coded slotted aloha with power control
Derived Density Evolution Equations for the asymptotic analysis of coded slotted aloha scheme with power control
Proposed an approximation scheme for studying CSA model under path loss
Empirical showed gains in throughput using the proposed power control scheme.
Derived upper bounds on the achievable throughput for 2 power level case

Tata institute of fundamental research, mumbai

Visiting Student Researcher

May 2017 – Jul 2017 · 2 mos · Mumbai Area, India

Worked on the problem of speed scaling for QoS constraints with finite buffer capacities
Proposed a greedy algorithm and showed a constant competitive ratio for a class of distributions
Proved asymptotic guarantees for a threshold based policy using tools from large deviation theory.

Microsoft research

Research Intern

Jun 2016 – Jul 2016 · 1 mo · Bangalore, India

Developed a low-cost long-term aerial imagery system with lighter-than-air gas-filled balloon system which includes the development of novel battery efficient application and instant feedback system for online path planning
Proposed and implemented a duty-cycling algorithm for control of various smart phone elements i.e. camera, WiFi, GPS toenable long-term aerial imagery to enable robust data acquisition for data driven precision agriculture