Rohith K Bobby

Kerala, India

Machine learning & backend developer, bug magnet, and occasional genius.

GitHub CV

About Me

I'm a machine learning engineer who builds end to end ML systems, from data and models to training and deployment. I focus on correctness, performance, and clean implementations that ship and last.

Core Toolkit

Python
Go
Rust
PyTorch, TensorFlow, Transformers
Computer Vision
NLP
FastAPI, Django
Docker
Git
Linux

Experience & Education

Machine Learning Intern

03/2023 – 12/2023

IHRD / SBCID Kerala

  • Built an automated pipeline for OCR and news article summarization, reducing processing time by 75%.
  • Implemented NLP-based keyword extraction to tag articles and improve case identification accuracy by 20%.
  • Developed a text summarization and translation pipeline for Indic languages, improving BLEU scores by 25% and used by 20+ officers.

Research Intern

03/2022 – 03/2023

Aris4D

  • Built a deep learning model to analyze petri dish images and predict antibiotic effectiveness with 95% accuracy.
  • Reduced antibiotic selection time by 30% in pilot studies using the deployed model.
  • Applied computer vision techniques for colony segmentation and feature extraction, reducing training time by 12%.

Bachelor of Technology in Computer Science

11/2022 – Present

College of Engineering Kallooppara

Coursework and projects focused on machine learning, systems, and core computer science.

Projects

goKyber

  • Implemented a post-quantum cryptography framework in Go implementing Kyber.
  • Focused on high performance, correctness, and clear abstractions.
Cryptography Systems Go
goKyber project visual

Malang

  • Built a custom programming language and compiler in Go.
  • Explored parsing, type checking, and code generation for educational purposes.
Compilers Language Design
Malang language visual

Brain Tumor Segmentation & Classification

  • Implemented a ResU-Net based pipeline for tumor segmentation and classification.
  • Achieved around 90% accuracy and reduced false positives by 10% compared to baseline CNNs.
Medical Imaging Deep Learning
Brain tumor segmentation visual

LLM Orchestrator

  • Orchestrates a series of Docker containers, each running a microservice powered by Large Language Models (LLMs).
  • Determines the optimal sequence of services needed to fulfill user-defined tasks automatically.
LLM Agents Docker Microservices
LLM Orchestrator visual

Diffusion MNIST

  • Implemented a DDPM from scratch to understand diffusion based generative models.
  • Generated MNIST digits from pure noise through iterative denoising.
Generative Models Research Builds
Diffusion MNIST visual

Get In Touch

Open to interesting projects and collaborations. Feel free to reach out.

rohithkbobby04@gmail.com Rohith04MVK rohitk.