N A
Head Of Partnerships at Khethworks
Hyderabad, Telangana, India
Summary
🤩
Rockstar🎓
Top SchoolN A is Head of Partnerships at Khethworks with six years of experience at the intersection of agriculture, rural energy solutions, and digital agri-economy enablement. Based in Hyderabad, he combines field-first operations and business development—from last-mile delivery in deep rural markets to building microfinance-enabled distribution—with a hands-on engineering background in computer science. A practical technologist and open-source contributor, he has improved video and image processing tooling (Flowframes, cupscale) focusing on reliability and performance while also exploring machine learning and C#/.NET. Known for scaling customer-centric teams for bottom-of-pyramid markets, he brings uncommon breadth: technical contributions to niche multimedia tools alongside a track record of building sustainable, finance-enabled product channels in rural India.
6 years of coding experience
11 years of employment as a software developer
Kendriya Vidyalaya SangathanBCA, Computer Applications, BCA, Computer Applications at Burdwan University, BurdwanPGPM, Human Resources Management/Personnel Administration, General, PGPM, Human Resources Management/Personnel Administration, General at ICFAI BUsiness School Kolkata
English, Hindi, Telugu, Kannada, Tamil
Github Skills (10)
video-processing10
csharp10
front-end-development10
ffmpeg10
python10
image-processing10
dotnet-core10
vapoursynth8
encoding7
jpeg7
Programming languages (14)
Github contributions (5)
n00mkrad/cupscale
Sep 2020 - Dec 2021
Image Upscaling GUI based on ESRGAN
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:44 releases, 64 commits, 3 PRs in 1 year 3 months
Contributions summary:N primarily focused on improving the image upscaling GUI based on ESRGAN. They made several changes to the codebase, addressing issues such as fixing the "preserve folder structure" mode and implementing features like FP16 support. Their work involved modifying various parts of the application, including the UI, image processing, and Python script integration for ESRGAN, demonstrating a focus on both front-end and back-end aspects of the project. They also refactored and cleaned up the code base, which suggests improvements to the overall architecture.
amdgui-basedvulkanguiupscaling
n00mkrad/flowframes
Nov 2020 - Jan 2023
Flowframes Windows GUI for video interpolation using DAIN (NCNN) or RIFE (CUDA/NCNN)
Role in this project:Back-end Developer
Back-end DeveloperContributions:6 releases, 586 commits, 18 PRs in 2 years 2 months
Contributions summary:N primarily focused on fixing various issues related to image sequence processing and GIF/output formats within the Flowframes application. They addressed bugs in frame count calculations, scene detection for fractional interpolation, and the handling of audio and metadata. They also implemented support for JPEG and WEBP image sequence outputs, and more efficient frame saving methods. Their work directly improved the reliability and features related to video and image sequence export.
pytorchcudawindows-guincnnwindows
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