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Ghanshyam S - Machine learning developer
Member since:Nov 21, 2019
Profile last updated:Jan 05, 2023
Last activity:Jan. 5, 2023, 2:48 a.m. UTC
LD Interview score: 2.0 / 5
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Ghanshyam S

Web 3.0 Product Manager, Blockchain enthusiast. Working in the crypto industry for the last three years. During this tenure, I have worked on Smart Contract Development, Tokenomic, Marketing, and Finance. My expertise includes building Web3 products as an owner and helping market them too.

Skills:    ·   ·   ·   ·   ·    ·    ·    · 
Weekly Availability: 44 hours
Sun10 - 1702 - 09
Mon18 - 2410 - 16
Tues18 - 2410 - 16
Wed18 - 2410 - 16
Thurs18 - 2410 - 16
Fri18 - 2410 - 16
Sat10 - 1702 - 09

Hourly Rate:$31.25
Experience:4 yrs
Machine learning:3 yrs
Android native app development:3 yrs
Jenkins:3 yrs
Blockchain:1 yrs
Agile:1 yrs
Engineer's Devices:


OnePlus     Currently Working of Machine Learning     Software Engineer     Employment
Jul 2020 - Present

  • Machine Learning - Working on target campaign management for efficient management of customers
  • Android native app development - working on telephony architecture, HAL, Drivers and Linux kernel
  • Jenkins - Testing automation and DevOps operations

Skills used: Android native app development, Machine learning, Jenkins

5IRE     Product manager     Software Developer     Contract
Aug 2021 - Feb 2022

  • 5IRE is non evm layer 1 chain. I was one of the founding members of the team helping them across the department. I have worked on chain explorer, tokenomics, and blockchain development.
  • Co-ordinated with devs and the finance team to bring fast execution of the project that leads to development of the explorer in record time. Used agile methodologies to co-ordinate with the team.

Skills used: Agile, Blockchain

Link to the project:
Ford Motors Private Limited     Smart Vehicle Distribution System     Software Developer     Internship
May 2019 - Jul 2019

  • Java - I have developed the android app that tracks the movement of vehicles from factory to customer.
  • Data Science - We fetched the data from a Big Data database using Hadoop and applied machine learning to predict the sales and expense in travel.
  • Python - Develop CNNs to predict the sales and expenses of travel using various libraries of python.
  • Android native app development - Develop application to track vehicles in android studio using firebase

Skills used: Machine learning, Java, Android native app development, Python, Data Science


LBS kota    12  (Physics, Chemistry and Mathematics)
Jul 2015 - May 2016
National Institue of Technology Warangal    B Tech  (Computer Science)
Jul 2016 - Apr 2020