Indira Keerthana Pulla

CSE Undergraduate | Full-Stack Developer | Exploring AI, Backend & System Design

Hyderabad

p.indirakeerthana@gmail.com

LinkedIn Github Portfolio dev.to

Skills

TypeScript

JavaScript

Python

React

Node.js

Vertex AI

Projects

DetectThreatAI

An AI-assisted email forensic investigation platform for security analysts - parses .eml files, analyzes headers/SMTP relay paths, verifies SPF/DKIM/DMARC authentication, extracts IOCs (IPs, domains, URLs, attachments), pulls threat intelligence (IP reputation, geolocation, ASN, DNS/RDAP, VPN/TOR indicators), correlates entities into an investigation graph, and generates an AI-powered threat classification with confidence scoring and recommended actions. Also handles case/campaign management, evidence integrity (SHA-256 hashing, provenance tracking), and exports forensic PDF.

React

TypeScript

Vite

Tailwind CSS. Backend — Python

FastAPI

Pydantic. Database — PostgreSQL/Supabase + SQLite. AI — Groq API. Visualization — Leaflet (geolocation maps)

Cytoscape (investigation graph). Reporting — ReportLab (PDF generation). Threat intel sources — AbuseIPDB

VirusTotal

DNS

RDAP. Deployment target: Render (backend) + Vercel (frontend).

AgentHiveAI

An agentic logistics support system that resolves shipment exceptions (damaged packages, failed deliveries, missing documentation, bad addresses, delayed shipments) — the agent investigates via carrier tracking tools, plans a resolution, runs a risk assessment, and either auto-executes low-risk actions or routes high-risk ones to a human-approval queue with a full reasoning trail shown in the UI.

Python backend

Streamlit

FastAPI + Uvicorn

Groq API running Llama 3.3 70B

Supabase

custom tool-calling agent loop

risk-policy engine for the approval gating.

Trade-Flow

Zerodha-inspired stock trading platform with real-time price updates via WebSockets; includes custom-built components like a support page replica.

MERN stack (MongoDB

Express

React