Open to collaborating — Q3 2026

I build systems that solvereal problems.

Open-source tools at the intersection of data, security, and social impact. Everything I ship is MIT-licensed and built to be reused.

About

Data meets impact.

I engineer open-source systems that turn raw data into decisions — breach impact models, climate policy dashboards, causal inference engines, real-time sentiment pipelines. Each project starts with a question and ends with a tool anyone can use.

15+

Open Source Projects

12

PR Contributions

∞

Problems Solved

What I bring

Full-stack data engineering — Python to React

ML & causal inference for real-world problems

Open-source as an ethos, not an afterthought

Clean architecture, reproducible results

Why I Build

I believe the best tools should belong to everyone. Not locked behind paywalls. Not hidden in proprietary systems. Open-source is how we democratize the best tools — and that's exactly what I build.

My work spans cybersecurity risk analysis, climate policy visualization, causal inference, and social impact platforms. The common thread: taking complex data and making it actionable for the people who need it most.

Interests

Cybersecurity AnalyticsClimate TechCausal InferenceDeveloper ToolingOpen-Source EcosystemsSocial Impact

Skills

Tools of the trade.

Technologies I use daily. Hover any card for details.

Languages

Python90%

Data, ML, automation

TypeScript75%

Frontend & tooling

SQL85%

Analytics & PostGIS

Frameworks

React80%

Interactive dashboards & PWAs

FastAPI85%

High-performance APIs

Streamlit90%

Rapid data apps

Node.js70%

Backend services

Data & AI

XGBoost80%

Risk scoring & prediction

Gemini75%

Content analysis & generation

VADER85%

Sentiment analysis

Causal Inference80%

Time series & treatment effects

Infrastructure

PostGIS75%

Spatial queries & mapping

PWA80%

Offline-first web apps

REST APIs90%

API design & integration

Docker70%

Containerized deployments

Projects

Systems that solve real problems.

Open-source, MIT-licensed, built to solve real problems. Each project ships as a complete, production-ready tool.

Live stock sentiment intelligence

Multi-source sentiment + technical indicators for any NSE ticker. 504 smart aliases, RSS from 9+ sources, Bayesian sentiment blending, and FinBERT option. RSI, MACD, SMA crossover — one dashboard.

StreamlitPythonNLPVADER

Synthetic data with a real moat

Describe any dataset in plain English — automatically discovers real-world schemas and generates realistic synthetic data with domain-specific imperfections. Schema Knowledge Graph, correlation engine, LLM schema verification.

PythonSDVNumPyStreamlit

NGO-volunteer matching platform

Production-grade PWA with PostGIS geospatial matching, role-based dashboards, karma incentives, offline support, Photo verification, OSRM routing, Supabase RLS, and CSR analytics.

ReactPostGISSupabasePWA

Data breach financial impact

Event study methodology (MacKinlay 1997) + XGBoost risk scoring. Measures abnormal returns, CAR, volatility spikes, and recovery time. CLI, web dashboard, and FastAPI — built for CISO board reporting.

FastAPIReactPythonXGBoost

Causal inference for time series

ARIMA, Bayesian STS, difference-in-differences, and synthetic control wrapped into one interface. Counterfactual charts with p-values, 95% CIs, and downloadable PDF reports.

StreamlitPythonStatsmodels

Paris Agreement gap analysis

NDC gap analysis across 200+ countries. Real-time green scoring with adjustable energy sliders, Plotly choropleth maps, CSV upload, and country classification — for policymakers and researchers.

StreamlitPythonPlotly

NSE Risk Scanner

Portfolio risk analytics for NSE investors

VaR 95/99, Sharpe, Sortino, Monte Carlo simulation, HMM regime detection, and sector concentration analysis from a single CSV upload. 355 tests, 90% coverage, zero paid APIs.

StreamlitPythonNumPySciPy

PDF generation, three lines at a time

Importable zero-dependency PDF library with pluggable backends. One call for a table, one for a chart, one for a header. Bundled fonts, auto page-break tables, running headers. Like SQLAlchemy for PDFs.

PythonReportLabPDF

BSE filing difference analysis

Detect what changed between corporate filings. Downloads BSE board meeting outcomes and annual reports, extracts text via pypdf, and diffs them side by side. Streamlit dashboard with historical tracking.

StreamlitPythonNLP

Hackathon Problems

Real-world problem statements

36 structured problem statements across Global South AI, US Civic Tech, and Rapid Prototypes. Each comes with datasets, related papers, and MVP timeline estimates. Built for hackathons and impact projects.

MarkdownResearchOpen Source

Competitor price monitoring

Chrome extension (WXT + Preact) with FastAPI backend that monitors competitor pricing pages. Local-first with chrome.storage, optional polling/notifications. Zero infrastructure — no Redis, Celery, or SendGrid.

WXTPreactFastAPIChrome

Contact

Let's build something together.

Open to collaborations, research partnerships, and conversations at the intersection of data, security, and social impact.

Find me online.

All my work is open-source and MIT-licensed. I'm most active on GitHub and LinkedIn — pick your platform.

GitHub X LinkedIn Medium

Let's talk.

Interesting project, research collaboration, or just want to geek out about causal inference? I'm here for it.

Connect on LinkedIn