Umarfarook Gurramkonda

As a Machine Learning Engineer at HypeOn AI, I build AI-powered solutions that help businesses automate workflows, generate insights, and make data-driven decisions. I work across the entire AI product lifecycle, from designing system architecture and data pipelines to developing production-ready machine learning and backend services.

My responsibilities include developing LLM-powered application

Worked as Machine Learning Engineer at HypeOn AI.

HypeOn AI was in stealth during this period. Early ML and backend work on what became the HypeOn competitive-intelligence product: LLM features, retrieval, and the Python/FastAPI services around them.

During my internship at Synclovis, I developed and optimized RESTful APIs using Node.js for an event management web application, ensuring high performance and scalability. I leveraged Express.js for routing and middleware handling, integrated MySQL for structured data storage, and implemented Redis for efficient caching to improve response times. I conducted rigorous API testing and debugging with

During my internship at Verzeo, I worked on designing and optimizing machine learning models, focusing on supervised learning techniques such as regression and classification. I gained hands-on experience with advanced feature selection methods, dimensionality reduction techniques (PCA, LDA), and ensemble learning algorithms like Random Forest and XGBoost. I implemented hyperparameter tuning using

At Rinex Technologies, I worked on developing and optimizing machine learning models for AI-driven solutions. My responsibilities included data preprocessing, feature engineering, and implementing supervised and unsupervised learning algorithms using Python, NumPy, Pandas, and Scikit-learn. I leveraged deep learning frameworks like TensorFlow and PyTorch to build and fine-tune neural networks for

Issued Sep 2025

Issued Sep 2025

Issued May 2024

Studied key subjects such as Python,C and computer science topics.

Worked on projects including DRUG RECOMMENDATION SYSTEM Using sentiment analysis.

Awarded 1st prize in Hackathon in 2nd year of course and 2nd prize in Webathon.

Issued Jun 2023

Issued Jun 2022

Issued Nov 2022

Issued Oct 2022