Katam Vamsi Krishna

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Machine Learning & NLP Engineer

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πŸ‘‹ Hi, I’m Katam Vamsi Krishna

πŸš€ Machine Learning Engineer | Data Science Enthusiast
πŸ” Specializing in NLP, Generative AI, and Predictive Modeling

I am a Machine Learning Engineer with 4+ years of experience in designing, building, and deploying AI-driven solutions. My expertise spans across Natural Language Processing (NLP), Deep Learning, and Large Language Models (LLMs), with a strong focus on automation, optimization, and predictive analytics.

Currently, I am delving deep into LLMs, transformer models, and AI-driven applications, aiming to push the boundaries of what AI can achieve in real-world scenarios.


πŸš€ Latest Project

πŸ“š Book Recommendation System Using LLM

A Large Language Model (LLM)-powered book recommender system integrating:
βœ… Zero-shot classification (facebook/bart-large-mnli)
βœ… Semantic Similarity Matching
βœ… Sentiment Analysis for Personalized Recommendations

πŸ”Ή Tech Stack: Hugging Face Transformers, PyTorch, NLP, ML Pipelines


πŸ’‘ What I Do

πŸ’» Machine Learning & AI Development
πŸ“Š Predictive Analytics & Data Science
πŸ€– Natural Language Processing & LLMs
☁️ Cloud AI Deployment (AWS, GCP, Docker)
πŸ› οΈ MLOps & CI/CD Integration


πŸ” Tech Stack & Expertise

πŸ“Œ Machine Learning & AI

πŸ“Œ Data Science & Engineering

πŸ“Œ Tools & Platforms


πŸ† Highlighted Projects

1️⃣ Chain of Thought (CoT) Reasoning in LLMs

πŸ›  Technologies: Python, Hugging Face Transformers, Deep Learning
πŸ“Œ Implemented zero-shot CoT reasoning in LLMs to enhance reasoning performance.
πŸ“Œ Inspired by β€œLarge Language Models are Zero-Shot Reasoners” research.

2️⃣ Sentiment Analysis using BERT

πŸ›  Technologies: Python, TensorFlow, Hugging Face Transformers
πŸ“Œ Fine-tuned BERT for sentiment classification of product reviews.
πŸ“Œ Deployed via Flask API for real-world applications.

3️⃣ Machine Translation with Autoencoder-Decoder

πŸ›  Technologies: TensorFlow, Keras, NLP, Neural Networks
πŸ“Œ Implemented encoder-decoder architecture for text translation.
πŸ“Œ Integrated attention mechanism to improve long-sequence translations.

4️⃣ Credit Risk Prediction using Machine Learning

πŸ›  Technologies: Python, scikit-learn, Machine Learning
πŸ“Œ Built a model to classify customers as risky or safe based on financial history.
πŸ“Œ Deployed as a real-time web app.


πŸŽ“ Education & Certifications

πŸŽ“ Master’s in Computer Science (AI/ML Focus) - University of Central Missouri (2025)
πŸŽ“ Bachelor’s in Information Technology - JNTU Anantapur (2019)

πŸ“œ Deep Learning Specialization (Coursera - Andrew Ng)
πŸ“œ Applied Data Science & ML with Python (Coding Ninjas)
πŸ“œ NLP with Deep Learning (Udacity)


🌎 Connect With Me

πŸ“© Let’s collaborate, discuss AI, or just chat about tech!

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Thank you for visiting! Always open to learning, collaboration, and innovation. πŸš€