I design end to end systems: APIs, pipelines, dashboards, and cloud infrastructure that turn messy data and manual workflows into reliable products and decision ready analytics.
Building systems that scale
Automated extraction and classification, workflow automation, reliability patterns (retries/monitoring), and productivity tooling.
Lakehouse and medallion architecture, Airflow orchestration, dbt-style testing, SQL modeling, and cross-system data integration.
Building and modernizing REST APIs, connecting third-party services (payments, ads, maps), and shipping dashboards and UX for decision-making.
I'm a software and data engineer focused on building automation first systems, from automated document processing and workflow automation, to lakehouse architectures, data pipelines, and customer facing analytics. I've built solutions across civic/transit data, CRM/reporting systems, and marketing analytics, owning the path from requirements to implementation to reliability to measurable outcomes.
Extended hands that I've used to build my projects.
Python
SQL
JavaScript
TypeScript
Shell Scripting
HTML
CSS
Airflow
dbt
Spark / PySpark
Data modeling
KPI standardization
AWS
Azure
Docker
Kubernetes
Experiences that I've had throughout my career.
Nonprofit supporting student programs with internal analytics
Multi-User SaaS CRM platform for roofing companies
Tourism company building internal creator operations platform
Portfolio Projects
Full-stack meeting intelligence app with RAG-powered chat, citation-backed answers, and automated decision/task/issue extraction from uploaded documents.
End-to-end data pipeline analyzing EV charger reliability and coverage across the U.S. using BigQuery and Tableau.
End-to-end deep learning project classifying yoga poses using CNN architectures (VGG16, VGG19, MobileNet).
End-to-end data & machine learning analysis investigating layoffs before, during, and after the COVID-19 pandemic (2019-2023).
Full-stack web app for data-driven automation investment decisions with instant ROI calculations, scenario comparison, and PDF report generation.
End-to-end GPU cluster telemetry ingestion, processing, and analytics pipeline using AWS, dbt, Airflow, DuckDB, and ML for anomaly detection.
Local-first resume editing app treating resumes as structured JSON with live preview, version control, quality linting, and PDF export.
Academic Background
Illinois Institute of Technology
Chicago, USA
SREC
Coimbatore, India
Amazon Web Services (AWS)
Databricks
dbt Labs
NVIDIA
DeepLearning.AI