Siddharth Lal

AI Researcher

Kharagpur, India3 yrs 6 mos experience

Key Highlights

  • Achieved 9x performance boost in Kyverno project.
  • Developed advanced astronomical image processing algorithms.
  • Created automated TLS certificate management solutions.
Stackforce AI infers this person is a Cloud Computing and Astronomy specialist with strong skills in Kubernetes and Julia.

Contact

Skills

Core Skills

High Performance Computing (hpc)KubernetesJulia (programming Language)

Other Skills

AWSAlgorithm DesignAlgorithmsC (Programming Language)C++CUDAData StructuresGitGitHubGolangParallel ProgrammingPython (Programming Language)

Experience

Alphagrep

Quantitative Researcher

Oct 2024Present · 1 yr 5 mos · Gurugram, Haryana, India · On-site

Quantbox research

Quantitative Researcher

Jul 2022Aug 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Cncf [cloud native computing foundation]

LFX Mentorship - Kyverno

Sep 2021Nov 2021 · 2 mos

  • Worked on scalability testing and optimising resource usage for Kyverno
  • Fixed the memory issue that lead to 9 times performance boost
  • Designed the scalability testing infrastructure for the codebase

Nutanix

Member Of Technical Staff Intern

Jun 2021Jul 2021 · 1 mo

  • Built a complete solution for automatic issuing and rotation of TLS certificates for deployments
  • Wrote kyverno policies for generating configurations of certificates and mounting secrets to deployments
  • Used cert-manager for rotating TLS certificates in the cluster and reloader for automatically restarting deployments post-rotation

Codenation

Software Engineering Intern

Nov 2020Jan 2021 · 2 mos

  • Created a kubernetes custom resource to trigger an http endpoint at a given frequency
  • Used golang and kubebuilder framework to write controllers for scheduler custom resource
  • Implemented schedulers using AWS event bridge to push events periodically to SNS topic to trigger business flows

Google summer of code

Student Developer

May 2020Aug 2020 · 3 mos

  • Selected as a part of the Google Summer of Code (GSoC) program to work on the project "CCD Image Processing"
  • Project Outline:
  • Developed a new package for astronomical image processing and reduction in Julia under JuliaAstro organisation
  • Created a new data structure to store images present in FITS format which was interfaced on AbstractMatrix supertype
  • Coded algorithms like Dark Subtraction, Flat Correction, Overscan Subtraction and Bias Subtraction for image reduction
  • Designed generating and mapping functions for processing collection of images with additional options for saving outputs
  • Constructed an end-to-end pipeline and boosted image processing time by 25% via Julia’s advanced functionalities

Education

Indian Institute of Technology, Kharagpur

Integrated Master of Science - MS — Mathematics and Computing

Jan 2017Jan 2022

Delhi Public School

Jan 2002Jan 2017

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