Available for MNC roles — 2026

Keerthana
Purama

Software Engineer / AI Builder / Full-Stack

M.Eng. ECE · University of Ottawa. 2+ years at Cognizant (Fortune 500). I build AI-powered products using Python, Java, React, FastAPI, Spring Boot, and AWS — and I ship them with real impact.

View Projects → Get in Touch

keerthana.py

# Who am I?

class Engineer:

name = "Keerthana Purama"

location = "Ottawa, ON 🇨🇦"

exp = "2+ yrs @ Cognizant"

stack = [

"Python", "Java",

"React", "FastAPI",

"OpenAI API", "AWS",

"Docker", "Spark",

]

building = "3 AI projects"

goal = "MNC SWE 2026 🎯"

▶ run()

Skills

What I work with

Updated for 2026 — built around what MNC engineering teams actually hire for.

Languages

Python Java TypeScript SQL / PostgreSQL

AI & LLM

OpenAI API RAG Pipelines Prompt Engineering LangChain NLP

Frameworks

React FastAPI Spring Boot Django Node.js

Cloud & DevOps

AWS Azure Docker Kubernetes GitHub Actions Apache Spark MongoDB

Projects

Things I've built

4 production-ready projects — all Dockerized, all deployed, all with live URLs and GitHub Actions CI.

01 · AI / LLM

AI Document Q&A

Upload any PDF, ask questions in plain English, get AI-powered answers with source citations. Built on FastAPI + OpenAI API + RAG pipeline.

Sub-500ms response via optimised RAG pipeline

PDF parsed, chunked, embedded with OpenAI

GitHub Actions CI on every push

PythonFastAPI OpenAI APIRAG LangChainReact DockerAWS

⌥ GitHub ↗ Live Demo

02 · AI / LLM

AI Job Match Engine

Paste a job description, upload your resume — get an AI match score, missing skills list, and a rewritten resume bullet for that specific role.

Structured JSON output via function calling

Match score + gap analysis + 1-click rewrite

Resumes stored on AWS S3

PythonFastAPI OpenAI APIPrompt Eng ReactTypeScript AWS S3

⌥ GitHub ↗ Live Demo

03 · AI / Java

AI Supply Chain Alerts

Spark detects inventory anomalies → Spring Boot backend → LLM writes a plain-English alert report. Java + AI — the rarest combo enterprise teams look for.

Demand forecasting at ±8% accuracy

Deploy cycles: 2 hrs → 18 min

Zero-downtime Docker Compose deploy

JavaSpring Boot OpenAI Java SDKSpark PythonDocker AWS

⌥ GitHub ↗ Live Demo

04 · Full-Stack

Full-Stack AWS App

Production-grade full-stack application with JWT authentication, async FastAPI backend, PostgreSQL on AWS RDS, and a React + TypeScript frontend.

JWT auth + role-based access + protected routes

PostgreSQL on AWS RDS in production

GitHub Actions — lint + test + deploy

PythonFastAPI ReactTypeScript PostgreSQLDocker AWS EC2/RDS

⌥ GitHub ↗ Live Demo

Experience

Where I've worked

Jul 2020 — Jun 2022

Cognizant Technology Solutions

Programmer Analyst · Bangalore, India

Re-engineered Java/SQL data pipelines — reporting errors down 50%+, processing time from 4 hrs → 90 min
Architected AWS (EC2/S3/RDS) deployments processing 2M+ daily records, cutting provisioning time by 60%
Introduced Jenkins CI/CD automation — 40% fewer deployment failures, bi-weekly → continuous delivery
Delivered 8+ Agile sprint features with 95%+ UAT acceptance on a critical data governance rollout

Dec 2019 — Apr 2020

Cognizant Technology Solutions

Program Analyst Intern · Bangalore, India

Built full-stack State Scholarship web app (Java · Spring Boot · JDBC · HTML/CSS · SQL) serving 500+ students
Designed 10+ RESTful API endpoints with exception handling — zero critical defects at production handover

Keerthana
Purama

What I work with

Things I've built

Where I've worked

Academic background

Building & learning right now