Transforming intelligent ideas into real-world AI solutions using Azure, LLMs, and MLOps 🚀
I’m a passionate AI/ML Engineer and Data Scientist focused on developing scalable, explainable, and production-ready AI systems.
Currently working as an AI Intern at Futurense Technologies, I design AI safety APIs, fine-tune LLMs, and build Azure-based data pipelines for real-world impact.
My expertise lies in Generative AI, MLOps, and NLP, leveraging cloud platforms to bridge research and application.
Python |
NumPy |
Pandas |
Seaborn |
Matplotlib |
Scikit-learn |
Keras |
SciPy |
spaCy |
PySpark |
PyTorch |
TensorFlow |
![]() MLflow |
LangChain |
OpenAI |
Docker |
Git |
GitHub |
AWS |
Airflow |
DVC |
DAGsHub |
Grafana |
Azure |
GCP |
MS Fabric |
FastAPI |
![]() Streamlit |
HuggingFace |
MySQL |
PostgreSQL |
![]() SHAP |
LIME |
Scrum |
Kanban |
Jira |
- 🤖 Fine-tuning LLMs for conversational and retrieval-based systems
- ☁️ Azure ML Pipelines & scalable MLOps workflows
- 🧠 AI Safety APIs & Explainable AI for trustworthy systems
|
- Azure Data Scientist Associate (DP-100) - Azure Data Fundamentals (DP-900) |
© 2025 Pramod Katchalla | AI/ML Engineer | Microsoft Certified (DP-100 & DP-900)




