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kkeerthanaaaa/README.md

Hi there 👋, I'm Keerthana

Aspiring Software Engineer — Backend & AI Systems


   




🧠 About Me

  • 🎓 B.Tech student, Artificial Intelligence & Machine Learning — CGPA 8.9, Bengaluru
  • 🛠️ I build end-to-end systems, not notebooks — REST APIs, database-backed auth, and applied ML, shipped with tests and documented trade-offs
  • 🤖 Recent work spans document intelligence (OCR + semantic search), secure session-based auth, agentic AI systems (RAG, MCP, LLM tool-calling), and geospatial/ML crime & risk analytics
  • ☁️ Comfortable across the stack: Python/FastAPI, Node/Express, React, PostgreSQL, and cloud deployment (Google Cloud Run, Zoho Catalyst)
  • 🚀 Currently looking for a Software Engineer internship

🎨 Technical Skills

Languages
Backend & APIs
Databases
AI / ML
Frontend
Security
Cloud & Tools

💼 Featured Projects

Node.js · Express · PostgreSQL · Appwrite · bcrypt · Session Auth

  • Two parallel implementations of the same auth/file-access contract — a hand-rolled Node/Express + PostgreSQL backend, and a managed Appwrite backend — to compare what a platform automates vs. what needs explicit configuration
  • Server-side sessions with ID regeneration on login (fixation prevention), identical 404s for missing vs. not-yours resources to close an ID-enumeration side channel, and attempt-based account lockout
  • 15 automated tests + manual curl verification of every cross-user isolation case
  • (Related earlier submission: FOSSEE — same system, built for the FOSSEE fellowship)

Python · FastAPI · Tesseract OCR · FAISS · Sentence Transformers · OpenCV

  • Local, zero-cloud document intelligence pipeline: OCR + table extraction + regex NER, editable results, and semantic search across the whole document corpus
  • 94.2% average OCR confidence, 88.7% table extraction accuracy, ~38ms semantic search latency, benchmarked on a 100-document corpus
  • Human-in-the-loop correction pipeline that feeds back into the extraction model

FastAPI · React · XGBoost · SHAP · PostGIS · Zoho Catalyst

  • Built for the Karnataka State Police Datathon 2026 — geospatial hotspot detection, criminal-network analysis (MO similarity clustering), and XGBoost + SHAP-explained weekly station risk prediction
  • Validated against a synthetic dataset with 7 injected ground-truth patterns — risk model beat a naive baseline (MAE 5.00 vs. 6.66) and correctly recovered all 5 injected repeat-offender rings
  • Deployed live on Zoho Catalyst with a Supabase/PostGIS backend
  • (Earlier solo submission: Crime-Intelligence-Platform)

FastAPI · React · pgvector · PostgreSQL · RBAC

  • Multi-tenant internal AI assistant combining RAG over company documents, a structured HR database, a deterministic business-rule engine, and role-based access control
  • Every tenant-scoped query is filtered by company_id from the JWT — never a client-supplied value — with pgvector-backed document retrieval scoped per tenant
  • Business rules (e.g. leave-balance checks) are computed deterministically in Python and handed to the LLM as ground truth so it can't hallucinate a number

Python · OpenCV · FastAPI · React Native scaffold

  • Classical CV pipeline (CLAHE + dual-threshold blob detection + Canny edge detection) to detect and score pothole/crack severity from road images
  • Turns a batch of images into a priority-ranked, cost-estimated repair queue for road-authority planners
  • Explicitly documents what's a working demo vs. a production upgrade path (trained detector, real camera calibration, sourced cost data)

FastAPI · Node.js · MongoDB · React · Scikit-learn

  • Privacy-first, explainable movie recommendation engine — diversity-mixed recommendations (40/30/20/10 blend + backfill), hidden-gem surfacing, and mood/time/group-aware filtering
  • 17/17 recommendation-logic tests passing; verified service boot, routing, and schema validation across the full stack

Flask · SQLAlchemy · SQLite · Bootstrap 5

  • Production-style HR Management System with real organizational hierarchy, multi-stage leave approvals, reversible archive/restore workflows, and a full audit trail
  • Backend-enforced RBAC across 5 roles (Employee → Manager → HR → CEO → Admin) — authorization is never just a hidden UI button
  • Includes an offline, rule-based "Dayflow Assistant" that answers HR questions from the live database with zero external API calls

📚 More Repositories

Project Description
Secure-Login-System / FOSSEE Dual-backend session auth + IDOR-safe file access (see above)
KSP-Hackathon-Deploy / Crime-Intelligence-Platform Crime hotspot + risk-prediction platform (see above)

🎓 Education

Degree Institution Score
B.Tech, Artificial Intelligence & Machine Learning 2028 CGPA 8.9
12th Grade (PUC) CJC, Bengaluru — 2024 90.8%
10th Grade (SSLC) SEI, Bengaluru — 2022 97%

💼 Professional Experience

Sustainable AI Intern — 1M1B (1 Million for 1 Billion) · Dec 2025 – Jan 2026 · Remote

  • Built and debugged AI models for sustainability use cases, improving inference efficiency and reducing compute cost
  • Automated data-preprocessing and training pipelines in a remote Agile team across the full SDLC

🧰 Certifications & Workshops

  • NPTEL — Data Structures & Algorithms
  • NPTEL — Introduction to Database Systems
  • HackerRank — Python & C++ (Gold)
  • Oracle — Java Certified Foundations Associate
  • Oracle — Agentic AI Certified Foundations Associate
  • Oracle — OCI 2025 Certified AI Foundations Associate
  • Forage — Tata GenAI Powered Data Analytics Job Simulation
  • Coursera — Google AI Professional Certificate
  • Coursera — Google Data Analytics
  • Cisco Networking Academy — Cisco Certified Network Associate
  • Cisco Networking Academy — Apply AI: Analyze Customer Reviews
  • Cisco Networking Academy — Data Analytics Essentials
  • Cisco Networking Academy — Introduction to Modern AI
  • Udemy — AI Cybersecurity Solutions: Overview of Applied AI Security

📊 GitHub Stats

GitHub Stats     Top Languages



GitHub Streak

Open to Software Engineering internships (Backend & AI Systems) · Open source collaboration welcome

📫 helloimkeerthana@gmail.com

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  1. Codebase-RAG Codebase-RAG Public

    An offline AI-powered Codebase RAG system that lets developers chat with their source code. Built using FastAPI, Tree-sitter, FAISS, Sentence Transformers, SQLite, and Ollama, it provides accurate,…

    Python 4

  2. Crime-Intelligence-Platform Crime-Intelligence-Platform Public

    An AI-powered crime intelligence platform developed for a hackathon to help law enforcement detect crime hotspots, analyze criminal networks, and predict crime risk using geospatial analytics, mach…

    Python 4

  3. Intelligent-Document-Processing- Intelligent-Document-Processing- Public

    AI-powered Intelligent Document Processing system that extracts text, tables, images, and structured data from PDFs and images.

    Python 4

  4. weatherwise-agent weatherwise-agent Public

    An AI-powered weather assistant built with Google ADK and the Model Context Protocol (MCP) that retrieves live weather data and generates intelligent, human-friendly weather reports using Gemini 2.…

    Python 4

  5. Enterprise-AI-assistant Enterprise-AI-assistant Public

    An enterprise AI assistant that helps employees instantly access company policies, HR information, leave details, training resources, and organizational knowledge. It combines RAG, structured compa…

    Python 4