RIJITHA K.
Let's Talk
AI / ML Engineer

Building GenAI
products that
create real impact

Final-year B.Tech IT (Honours) student and Generative AI & Cloud Computing Intern at IBM, architecting LLM-powered systems, full-stack AI platforms, and scalable ML pipelines that ship.

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Projects
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Certifications
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Internships
Rijitha Kannan
Open to work
GENERATIVE AILLMSPYTHONMACHINE LEARNING REACTNEXT.JSCLOUDPROMPT ENGINEERING GENERATIVE AILLMSPYTHONMACHINE LEARNING REACTNEXT.JSCLOUDPROMPT ENGINEERING
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About Me

I'm an IT undergraduate at PGP College of Engineering & Technology (Anna University), focused on emerging technologies — with most of my recent work centred on Generative AI and LLM integration. I like building things that sit at the intersection of language models and real infrastructure: a full-stack AI career platform, chatbots with sub-2-second latency, security tools that catch phishing URLs in real time, and IoT systems that save water on a farm.

I'm currently a Generative AI & Cloud Computing Intern at IBM, working hands-on with LLMs, prompt engineering, and IBM Cloud architecture. Earlier internships in machine learning (Covai Tech Solutions) and ML/data engineering (RGreen Technologies) sharpened my grip on predictive modelling and production data pipelines. My research on mitigating ICMP flood (DoS) attacks was presented at a National Level Symposium.

Certifications (19 total)

  • IBM: Getting Started with Generative AI, Build an AI Agent, Cloud Computing Fundamentals, Web Development Fundamentals
  • IBM SkillsBuild: Career Management Essentials, Lifelong Professional Skills
  • Google: Cloud Cybersecurity Certificate, Cloud Data Analytics Certificate
  • Cisco: Python Essentials 1 & 2, Ethical Hacker, Cyber Threat Management, Data Analytics, Data Science, IoT, Modern AI, Cybersecurity, OS & Hardware Basics
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Technical Skills

Python & ML (Scikit-learn)Advanced
GenAI / LLMs / Prompt EngineeringAdvanced
Full-Stack (React / Next.js / Node)Proficient
Cloud (IBM / GCP / OCI)Proficient
Data Science & EDAProficient
TensorFlow / PyTorchLearning
GenAI & LLMs
OpenAI APIPrompt Engineering RAGNLPGemini API
Full-Stack
React.jsNext.jsTypeScript Node.jsTailwind CSSFirebaseVercel
Cloud & APIs
Oracle OCIGoogle CloudIBM Cloud REST APIsFlaskStreamlit
Security / IoT
Ethical HackingPhishing Detection ArduinoEmbedded Systems
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Experience

JUN 2026 — PRESENT
Generative AI & Cloud Computing Intern
IBM · Remote
Project-based learning in Generative AI covering LLMs, prompt engineering, ethical AI, and real-world use-case design; hands-on with IBM Cloud deployment models and architecture. Earned verified IBM SkillsBuild certifications in Generative AI and AI agent development.
DEC 2025
Machine Learning Intern
Covai Tech Solutions · Coimbatore
Engineered ML classification models achieving 92% accuracy on holdout test sets using Scikit-learn, with rigorous feature engineering and hyperparameter tuning.
JUL 2025
Machine Learning Intern
RGreen Technologies · Madurai
Built and consumed RESTful API endpoints for ML model inputs; automated Python data-cleaning pipelines, cutting manual effort by 40%, and surfaced insights from 10,000+ row EDA that directly shaped product decisions.
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Key Projects

PROJECT.TYPE: FULL-STACK · FLAGSHIPLIVE
CareerPilot AI — AI-Powered Career Guidance Platform
A full-stack platform helping students improve career readiness: AI resume analysis with ATS scoring, mock interview prep, and a personalised learning roadmap. Built an offline fallback engine so the app keeps working even if the AI API goes down. Presented live to a room of juniors, who tested it end-to-end.
92.4% MODEL ACCURACY · ₹0 INFRA COST · OFFLINE FALLBACK
Next.jsReactTypeScript Tailwind CSSNode.js Gemini APIFirebase
↗ LIVE DEMO ↗ GITHUB
PROJECT.TYPE: GENAISHIPPED
Generative AI Chatbot
Integrated an OpenAI LLM API with advanced prompt engineering, serving responses through RESTful microservices.
SUB-2S LATENCY · +50% RELEVANCE
PythonFlask OpenAI APINLP
↗ GITHUB
PROJECT.TYPE: SECURITYSHIPPED
VeloxGuard AI — Phishing Detection
End-to-end AI security pipeline: 30 URL features extracted via regex heuristics, Random Forest trained on the UCI dataset, real-time threat-verdict dashboard.
30 FEATURES · REAL-TIME VERDICTS
PythonRandom Forest RegexStreamlit
↗ GITHUB
PROJECT.TYPE: MLSHIPPED
Customer Churn Prediction
Built a churn classifier with feature-importance analysis, delivering actionable retention strategies for simulated business stakeholders.
88% ACCURACY / F1-SCORE
PythonScikit-learnEDA
↗ GITHUB
PROJECT.TYPE: IOTSHIPPED
IoT Soil Moisture System
Smart-agriculture solution with automated irrigation alerts, integrating sensor data straight into an early-warning pipeline.
98% SENSOR PRECISION · −25% WATER WASTE
ArduinoPythonSensors
↗ GITHUB
PROJECT.TYPE: FRONTENDSHIPPED
Wellness Care — Healthcare Website
Fully responsive healthcare platform built to production-grade performance standards, with a mobile-first UI and accessible, cross-browser-compatible frontend.
95+ LIGHTHOUSE SCORE · SUB-1.5S LOAD
BootstrapCSS3Responsive UI
↗ GITHUB
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Education

PGP College of Engineering & Technology
B.Tech Information Technology (Honours), Emerging Technologies · Anna University
9.1/10.0 CGPA
2023 – 2027