Sai Rohith
Virginia, United States
Summary
🤩
Rockstar🎓
Top SchoolSai Kancherla is a computer engineer with six years of practical experience building systems at the intersection of hardware and machine intelligence, currently completing an MS at George Mason University. His thesis work extended the I-GCN accelerator on Zynq UltraScale+ FPGAs, delivering 53% pruning and 35% latency reduction through mixed-precision arithmetic and on-chip BRAM caching while cutting DSP usage with no accuracy loss—demonstrating a focus on efficiency beyond raw accuracy. He ships end-to-end ML systems, from data generation and model training to inference optimization, and codes across Python, PyTorch, React, and Flask. Past projects include backend data engineering for a Seq2Seq Facebook Messenger bot that consolidated multi-platform chat logs for training, reflecting strong data-prep and systems-integration skills. Sai is seeking roles in FPGA/hardware engineering, ML systems, or backend/ML infrastructure where hardware-aware model optimization and production readiness matter.
6 years of coding experience
Bachelor's degree, Electrical, Electronics and Communications Engineering, 8.11, Bachelor's degree, Electrical, Electronics and Communications Engineering, 8.11 at KL UniversityGeorge Mason University
Github Skills (6)
nlp10
tensorflow10
python10
data-processing10
chatbot9
pandas7
Programming languages (11)
Github contributions (5)
adeshpande3/Facebook-Messenger-Bot
Jul 2022 - Sep 2022
Facebook chatbot that I trained to talk like me using Seq2Seq
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 10 PRs, 4 pushes in 2 months
Contributions summary:Sai primarily focused on data processing and preparation tasks for a Facebook Messenger bot, as evidenced by their modifications to the `createDataset.py` and `Word2Vec.py` files. Their commits involved updating the code to be compatible with the current Python version, setting encodings to handle Unicode characters, and merging code changes. The user made data processing functionality, accessing data from various sources (Facebook, Google Hangouts, LinkedIn, WhatsApp, and Discord).
facebook-messenger-botseq2seqseq2seq-modelfacebooktensorflow
rohith1125/winget-pkgs
May 2021 - May 2021
The Microsoft community Windows Package Manager manifest repository
Contributions:8 commits, 24 pushes, 16 branches in 1 day
mdtwindows-package-managerwindowsmanifestmicrosoft-community
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.