Katam Vamsi Krishna
Machine Learning & NLP Engineer
👋 Hi, I’m Katam Vamsi Krishna
🚀 Machine Learning Engineer | Data Science Enthusiast
🔍 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.
🚀 Latest Project
📚 Book Recommendation System Using LLM
A Large Language Model (LLM)-powered book recommender system integrating:
✅ Zero-shot classification (facebook/bart-large-mnli)
✅ Semantic Similarity Matching
✅ Sentiment Analysis for Personalized Recommendations
🔹 Tech Stack: Hugging Face Transformers, PyTorch, NLP, ML Pipelines
💡 What I Do
💻 Machine Learning & AI Development
📊 Predictive Analytics & Data Science
🤖 Natural Language Processing & LLMs
☁️ Cloud AI Deployment (AWS, GCP, Docker)
🛠️ MLOps & CI/CD Integration
🔍 Tech Stack & Expertise
📌 Machine Learning & AI
- Deep Learning (TensorFlow, PyTorch)
- NLP (BERT, GPT, Hugging Face, spaCy, NLTK)
- Generative AI & LLMs
- Computer Vision (CNNs, OpenCV)
- Model Deployment (Flask, FastAPI, AWS Lambda, Docker)
📌 Data Science & Engineering
- Feature Engineering & Preprocessing
- Data Visualization (Matplotlib, Seaborn, Plotly)
- Big Data (Spark, Hadoop, SQL, NoSQL)
- Cloud AI (AWS S3, Lambda, EC2, GCP)
📌 Tools & Platforms
- Programming: Python, R, SQL
- Frameworks: TensorFlow, PyTorch, Scikit-learn
- Databases: MySQL, MongoDB, Neo4j, ElasticSearch
- Version Control: Git, Perforce
🏆 Highlighted Projects
1️⃣ Chain of Thought (CoT) Reasoning in LLMs
🛠 Technologies: Python, Hugging Face Transformers, Deep Learning
📌 Implemented zero-shot CoT reasoning in LLMs to enhance reasoning performance.
📌 Inspired by “Large Language Models are Zero-Shot Reasoners” research.
2️⃣ Sentiment Analysis using BERT
🛠 Technologies: Python, TensorFlow, Hugging Face Transformers
📌 Fine-tuned BERT for sentiment classification of product reviews.
📌 Deployed via Flask API for real-world applications.
3️⃣ Machine Translation with Autoencoder-Decoder
🛠 Technologies: TensorFlow, Keras, NLP, Neural Networks
📌 Implemented encoder-decoder architecture for text translation.
📌 Integrated attention mechanism to improve long-sequence translations.
4️⃣ Credit Risk Prediction using Machine Learning
🛠 Technologies: Python, scikit-learn, Machine Learning
📌 Built a model to classify customers as risky or safe based on financial history.
📌 Deployed as a real-time web app.
🎓 Education & Certifications
🎓 Master’s in Computer Science (AI/ML Focus) - University of Central Missouri (2025)
🎓 Bachelor’s in Information Technology - JNTU Anantapur (2019)
📜 Deep Learning Specialization (Coursera - Andrew Ng)
📜 Applied Data Science & ML with Python (Coding Ninjas)
📜 NLP with Deep Learning (Udacity)
🌎 Connect With Me
📩 Let’s collaborate, discuss AI, or just chat about tech!
Thank you for visiting! Always open to learning, collaboration, and innovation. 🚀