Hi, I'm Harish
Data & Analytics Engineer with 2+ years of experience building modern data platforms and applied AI systems across financial services and manufacturing.
Chicago, IL
About
I build data systems that make messy operational data easier to trust, understand, and use.
My work has covered data engineering, analytics, predictive modeling, and applied AI across financial services and manufacturing. I have worked on everything from data pipelines and reporting to ML workflows and RAG applications. What matters to me is building something that works well, can be maintained, and is actually useful to the people using it.
Work Experience
Technical Skills
Core Tech Stack
- Python
- SQL
- Apache Spark (PySpark)
- Apache Kafka
- Apache Airflow
- Azure
- Microsoft Fabric
- Databricks
- Snowflake
- Power BI
- scikit-learn
- LangChain
Programming & Querying
- Python
- SQL
- R
- Pandas
- NumPy
Data Engineering & Big Data
- Apache Spark (PySpark)
- Apache Kafka
- Apache Airflow
- dbt
- Databricks
- Azure Data Factory
Analytics & BI
- Power BI
- Tableau
- Excel
- Streamlit
- Grafana
Data Science & Machine Learning
- scikit-learn
- XGBoost
- TensorFlow
- Keras
- PyTorch
Applied AI & Agents
- LangChain
- LangGraph
- OpenAI API
- FAISS
- Hugging Face
- Chroma
Cloud & Data Platforms
- AWS
- Microsoft Azure
- Microsoft Fabric
- Google Cloud
- Oracle Cloud
Data Stores & Retrieval
- PostgreSQL
- Microsoft SQL Server
- MySQL
- MongoDB
- Snowflake
- Elasticsearch
Engineering & Delivery
- Git
- GitHub
- Docker
- Terraform
- Kubernetes
- Azure DevOps
Projects
A focused selection of data systems, analytical products, predictive models, and retrieval applications.
Featured Projects
Research & Recognition
Hybrid Transformer and XGBoost Model for Federated IoT Intrusion Detection
2026 IEEE 5th International Conference on AI in Cybersecurity (ICAIC)
Research outcome
Achieved approximately 98% detection performance with approximately 90% lower communication overhead.
Problem: IoT intrusion detection needs strong predictive performance while federated learning introduces privacy and communication constraints.
What I built: Developed a hybrid Transformer and XGBoost intrusion-detection architecture for distributed IoT learning.
Melissa Data Challenge Winner
LA Hacks 2025 · UCLA
Won the Melissa Data Challenge for Bandaid Maps, an AI-assisted healthcare navigation application built during a 36-hour hackathon. It helps users understand health readiness and locate appropriate nearby healthcare resources.
Project highlight
Combined a Health Readiness Score, Emergency Action Plan, and Interactive Map to guide users toward nearby healthcare resources.
Project: Bandaid Maps
Problem: Help users understand health readiness and locate appropriate nearby healthcare resources.
What I built: Created an AI-assisted healthcare navigation application during a 36-hour LA Hacks build at UCLA.
Hackathon Recognition
Education
Where I Add Value
From raw data to decisions, deployed models, and intelligent systems.
Data Engineering & Modernization
Build reliable pipelines, data models, and cloud platforms while replacing fragmented or manual workflows with scalable tooling.
ETL / ELT · Spark · Kafka · Airflow · dbt · Fabric · Azure · Snowflake
Analytics & Business Intelligence
Turn operational data into trusted metrics, dashboards, analytical models, and decision-ready insights.
SQL · Power BI · Tableau · Grafana · KPIs · Root cause analysis
Data Science & MLOps
Build and evaluate predictive models while connecting feature engineering and experimentation to testing, deployment, and monitoring.
scikit-learn · XGBoost · Forecasting · Model evaluation · CI/CD
Applied AI & Agentic Systems
Build grounded AI applications with retrieval, LLM workflows, tool integration, and agentic patterns for practical tasks.
RAG · LangChain · MCP · Agentic workflows · Vector search
Leadership & Activities
Let's Connect
Open to conversations around data engineering, analytics, ML/AI, projects, and opportunities.
Schedule a Conversation
Pick a time that works for you.