A data enthusiast pursuing a Master's in Applied Data Science at the University of Florida. I love building ML and AI driven solutions that make a real impact.
class Divyansh:
def passion(self):
return "AI + Data"
Building intelligent systems with LLMs, RAG pipelines, and multi-agent architectures
Designing scalable ETL workflows with Spark, Airflow, Kafka, and cloud-native tools
Taking ML models from experimentation to deployed, monitored production systems
A full Auto-ML pipeline for Relational Deep Learning. Point it at a folder of CSVs, and it automatically detects the schema, infers the task, engineers features, trains models (from Ridge to Graph Transformers), and serves predictions — no config files, no hardcoding.
Technologies and tools I work with daily
Deep learning, NLP, recommendation systems, and time series forecasting
Building LLM apps, RAG pipelines, and agentic AI systems
ETL pipelines, data warehousing, and medallion architecture
Deploying and monitoring ML systems on AWS and Azure
Interactive dashboards and business intelligence tools
Languages, frameworks, and version control
Aventusoft LLC
Altair Engineering
Celebal Technologies
Americana Restaurants
Altair RapidMiner
2024Forage
2023Microsoft
2023A few highlights from my recent work
Multi-agent orchestration on LangGraph with parallel specialist execution, reflection loops, and optional HITL approvals.
Comprehensive warehousing project covering schema design, transformation layers, and analytics-ready data modeling.
Automated analysis of bacterial susceptibility zones using detection, segmentation, and image-based measurement.
I write about data science, ML, and engineering on Medium
I'm currently looking for full-time roles in Data Science, ML Engineering, or Applied Science. If you think I'd be a good fit, let's connect!