Sanket Kedia

Co-Founder

San Francisco, California, United States11 yrs 2 mos experience

Most Likely To Switch

Key Highlights

Expert in distributed systems and databases.
Proficient in low-latency, real-time data systems.
Strong background in mentoring and public speaking.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer specializing in Distributed Systems and Database Engineering.

Contact

Skills

Core Skills

Distributed SystemsDatabase Engineering

Other Skills

RustDatabase StorageIndexingExecution EnginesJavaSpringbootKey-Value Data ModelCassandraModern C++Distributed SQLCluster SynchronizationHighly Available SystemsScalable SystemsAlgorithmsSocial Media

About

I have about 8 years of experience in building and maintaining low‐latency, real‐time data systems that are distributed and highly scalable. I have worked at companies like Oracle, YugabyteDB, Netflix, and Chroma. I primarily code in C++ and Rust, with additional experience in Java, Python, and C. I have worked on distributed databases all my career across a broad range of areas, including storage, indexing, sharding, consensus, execution engine, request coalescing, prefetching, task prioritization, quota management, and rate limiting. I have also worked on control plane orchestration, such as cluster balancer, and also built day 2 database technologies, such as point-in-time recovery, and external backup/restore. I know the RAFT consensus protocol very well, and I am adept in asynchronous programming, concurrency control, multi‐threading, Remote Procedure Calls (RPCs), and protocol buffers. Holding a Dual (B.Tech + M.Tech) degree in Computer Science and Engineering from IIT Kharagpur, I am passionate about tackling challenging and technically complex problems at the intersection of distributed systems and databases. I am also a voluntary teacher and mentor for various non-profit and academic causes. I am also an avid Toastmaster and a division-level public speaker.

Experience

11 yrs 2 mos

Total Experience

1 yr 8 mos

Average Tenure

2 yrs 1 mo

Current Experience

Chroma

Founding Distributed Systems Engineer

May 2024 – Present · 2 yrs 1 mo · San Francisco, California, United States · On-site

Founding engineer working on all things distributed and databases. Amongst other things, my role is focused on database storage, indexing, and execution engines, as well as the metadata store. I code primarily in Rust.

RustDistributed SystemsDatabase StorageIndexingExecution EnginesDatabase Engineering

Netflix

Distributed Systems Engineer

Oct 2023 – Apr 2024 · 6 mos · Los Gatos, California, United States · Hybrid

Part of the KV Data Abstractions team that supports Netflix's use-cases of single-digit millisecond latency reads and writes of key-value data model (backed by Cassandra). Code in Java Springboot

JavaSpringbootKey-Value Data ModelCassandraDistributed SystemsDatabase Engineering

Yugabyte

Software Engineer

Nov 2020 – Oct 2023 · 2 yrs 11 mos · San Francisco Bay Area

Working in the core database team of Yugabyte, providing distributed SQL at scale. Code in modern C++

Modern C++Distributed SQLDatabase EngineeringDistributed Systems

Demuxx academy

Mentor

May 2019 – Oct 2021 · 2 yrs 5 mos · Bangalore

Oracle

Software Developer - II

Aug 2017 – Nov 2020 · 3 yrs 3 mos

I was amongst the 2 people hired for their international profile for Redwood Shores, California (amongst ~1300).
I am a part of the Cluster Synchronization Services (CSS) team here. My tasks include Researching, designing and developing the software infrastructure that enables Oracle Database (RAC) and other applications to operate in clustered configurations that are highly available and scalable to hundreds of nodes

Cluster SynchronizationHighly Available SystemsScalable SystemsDatabase EngineeringDistributed Systems

University of alberta

Research Fellow

Jun 2017 – Aug 2017 · 2 mos · Edmonton, Alberta, Canada

Publication: Taylor Lloyd, Artem Chikin, Sanket Kedia, Dhruv Jain, and Jose Nelson Amaral, "Automated GPU Grid Geometry Selection for OpenMP Kernels", in Proceedings of the 9th International Workshop on Applications for Multi-Core Architectures, 24-27 September 2018, ENS Lyon, Lyon, France
I worked on developing a Machine Learning model to predict the grid geometry that the compiler can use to optimally (in terms of time taken to execute the program) run OpenMP Kernels on an accelerator device such as Graphics Processing Unit (GPU).

Adobe

Summer Research Intern

May 2016 – Jul 2016 · 2 mos · Adobe Technology Lab, Bangalore

Publication: Sanket Kedia, Kokil Jaidka, Niyati Chhaya, Rahul Wadbude and Manikanta Nallagatla, "BATframe: An Unsupervised Approach for Domain-sensitive Affect Detection", in
Proceedings of the 18th International Conference on Computational Linguistics and Intelligent Text Processing, 17 - 23 April 2017, Budapest, Hungary
I worked on an unsupervised approach for the construction of domain-specific lexicons. I proposed a convex optimization framework for computing the affective values of topic words of a domain. Pleasure, Arousal, and Dominance (PAD) model of affect was used for quantifying affect.

Dept. of computer science & engg. society (codeclub)

President

May 2015 – Apr 2016 · 11 mos · Kharagpur Area, India

Organizing Bitwise, the annual departmental fest of Computer Science & Engineering.
Organizing Code.fun.do, hackathon organised by Microsoft
Organizing CodeNites, coding competitions aimed at teaching data structures and algorithms

American express

Summer Intern

May 2015 – Jul 2015 · 2 mos · Gurgaon, Haryana, India

Department: Risk & Information Management - Center of Excellence
Team: Global Corporate Payments
I worked on evaluating the value addition that business presence check brings in improving the default prediction at the time of client underwriting. I proposed and developed a model that assigns a score to a client depending on their business presence on the web.