Punyaslok Pattnaik

Founder

Bengaluru, Karnataka, India5 yrs 8 mos experience

Highly Stable

Key Highlights

Founding engineer with extensive software development experience.
Mentored projects in OpenAstronomy, showcasing leadership skills.
Strong foundation in machine learning and data science.

Stackforce AI infers this person is a Software Engineer with expertise in Machine Learning and Software Development.

Contact

punyaslok.pattnaik@gmail.com +919704273763 LinkedIn

Skills

Other Skills

AlgorithmsBashCC++Data ScienceDatabasesDistributed SystemsDjangoGitHTMLJavaLinuxMachine LearningMachine Learning AlgorithmsMicroservices

Experience

Irisagent

Founding Engineer

Sep 2020 – Nov 2023 · 3 yrs 2 mos

Codenation innovation labs

Software Development Engineer

Jul 2019 – Sep 2020 · 1 yr 2 mos

International institute of information technology

2 roles

Teaching Assistant

Jan 2019 – May 2019 · 4 mos · Hyderabad Area, India

Computer Graphics

Teaching Assistant

Aug 2018 – Dec 2018 · 4 mos · Hyderabad Area, India

Game Design and Engineering

Codenation

Software Development Engineer Intern

May 2018 – Jul 2018 · 2 mos · Bengaluru Area, India

ML on code

Google summer of code

Mentor

Apr 2018 – Aug 2018 · 4 mos

Mentor for the Astropy Time Project in OpenAstronomy.

International institute of information technology

2 roles

Teaching Assistant

Jan 2018 – Apr 2018 · 3 mos · Hyderabad Area, India

Modeling and Simulations

Teaching Assistant

Aug 2017 – Dec 2017 · 4 mos · Hyderabad Area, India

Complexity and Advanced Algorithms

Google summer of code

2 roles

Student Developer

May 2017 – Sep 2017 · 4 mos

Sun, Right Now! (OpenAstronomy)
Provide near real-time information on solar activity and active regions.
Made a new client to download and analyze data from the DISCOVR satellite.

Student Developer

May 2016 – Sep 2016 · 4 mos

Improvements to the SunPy Database (OpenAstronomy)
Made the database module able to handle Unified Downloader queries, using which users no longer need to make separate queries for separate clients.
Improved the caching mechanism so that users don’t re-download common files in case of overlapping queries, even across different python sessions.