PyTorch

👋 Hey, I'm Charanvardhan!

About Me

I’m a Machine Learning Engineer & Data Scientist with over two years of experience in advanced NLP, ML optimizations, and data-driven analysis. Currently pursuing an MS in Computer Science at UGA, I’m passionate about building scalable AI systems with Python and exploring cutting-edge LLMs and neural networks.

Skills

Programming & Scripting

Python

Java

JavaScript

HTML5

Frameworks & Libraries

Pandas

Scikit-learn

TensorFlow

PyTorch

Django

Tools & Platforms

Git

Apache Spark

AWS

Azure

Linux

Databases

MySQL

MongoDB

Redis

PostgreSQL

Vector DBs

2+

Years Experience

10+

Projects Completed

200+

Problems Solved

Experience & Education

Machine Learning Engineer – Kore.ai, Inc.

Built OCR pipelines for automated bill processing, ensuring accuracy and validation with AI-driven verification.
Engineered transformer-based dialogue flows for real-time intent recognition and NLP optimization.
Developed custom domain-specific NER, NLP, and NLU models for entity extraction and semantic analysis.
Migrated ontology-based knowledge graphs to scalable embedding-based retrieval systems using BERT.
Deployed NLP models via ONNX quantization and pruning for efficient edge device inference.

Data Scientist Intern – Nokia Solutions & Networks

Designed automated data validation workflows with quantitative tests and EDA to maintain multi-source pipeline integrity.
Performed regression, classification, and clustering analyses to derive business insights.
Applied PCA and Lasso Regression for feature selection and model efficiency improvement.
Visualized key performance indicators using Matplotlib and Seaborn for executive and technical reporting.

Graduate Research Assistant – University of Georgia

Designed and fine-tuned second-order optimizers inspired by L-BFGS and Newton’s methods to accelerate CNN training on CIFAR-10/100 datasets.
Enhanced ResNet generalization using data augmentation, dropout, and learning rate scheduling techniques.
Developed distributed deep learning workflows with mixed precision and model parallelism in PyTorch for large datasets.

Graduate Teaching Assistant – University of Georgia

Instructed R programming via Posit Cloud, guiding students through data wrangling, statistical modeling, and reproducible workflows with real-world data.
Created instructional materials and held one-on-one sessions to simplify complex analytical concepts.
Assessed assignments focusing on programming accuracy, numerical validity, and visualization clarity using ggplot2.