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Sachidanand DwivediSD
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Sachidanand Dwivedi

@sachidananddwivedi

I build Go-based backend systems, developer tools, and full-stack monitoring solutions.

India
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At Samsung Research Institute, I built a debugging framework that synchronizes screen recordings with Android system logs to reconstruct user sessions and uncover hidden system events.

I implemented event extraction and timeline correlation for system crashes, helping identify, debug, and track underlying issues throughout the product testing cycle.

Previously at Arnowa, I modified Go alert-rule handlers in an enterprise Grafana v7.5.3 fork, adding server-side expressions for complex multi-query conditions. I also built REST APIs with Go and Node.js, containerized an internal Employee Management System using the MERN stack, and created custom visualization plugins and Chrome extensions.

I also build practical Go projects, including QueueCTL, a persistent CLI background job queue with retries and dead-job handling, and an open-source concurrent web crawler backed by MongoDB.

Experience

Work history, roles, and key accomplishments

Samsung Research Institute logoSI

Software Development Engineer

Jan 2026 - Jun 2026 (5 months)

Developed a debugging framework that synchronizes screen recordings with Android system logs to reconstruct user sessions and uncover hidden system events. Implemented event extraction and timeline correlation for system crashes to identify, debug, and track underlying issues throughout the product testing cycle.

AR

Full Stack Developer

Arnowa

Apr 2021 - Oct 2022 (1 year 6 months)

Modified backend alert rule handlers in Go within an enterprise fork of Grafana v7.5.3, implementing server-side expressions to chain and evaluate complex multi-query data conditions. Developed backend REST API endpoints and handlers using Go and Node.js to backport an internal alerting silence feature, and built and containerized an internal Employee Management System using the MERN stack.

Education

Degrees, certifications, and relevant coursework

Maulana Azad National Institute of Technology logoMT

Maulana Azad National Institute of Technology

Master of Technology, Computer Science and Engineering

2024 -

Grade: 8.63

Pursuing M.Tech. in Computer Science and Engineering with a CGPA of 8.63.

Maulana Azad National Institute of Technology (MANIT) logoMM

Maulana Azad National Institute of Technology (MANIT)

Master of Technology, Computer Science and Engineering

2024 -

Grade: 8.63

Pursuing M.Tech. in Computer Science and Engineering with a CGPA of 8.63.

Punjab Technical University logoPU

Punjab Technical University

Bachelor of Technology, Computer Science and Engineering

2015 - 2019

Grade: 8.32

Completed B.Tech. in Computer Science and Engineering with a CGPA of 8.32.

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