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Vijayalakshmi-Indhuja/README.md

Hi 👋 I'm Vijayalakshmi K

🚀 AI Engineer | Generative AI | Machine Learning
📍 Chennai, India

👩‍💻 About Me

AI Engineer with 5.5+ years of overall professional experience, including:

  • 4+ years in software development
  • 2+ years focused on AI, Machine Learning & Generative AI
  • Experience building end-to-end ML pipelines and LLM-powered systems
  • Strong in Prompt Engineering, Structured Output Design & RAG workflows
  • Cloud-compatible AI architecture (AWS fundamentals)

I enjoy solving real-world business problems using AI.

🛠️ Technical Skills

💻 Programming

Python | SQL

🤖 AI / ML

Machine Learning
Classification & Regression
Feature Engineering
Model Evaluation
Scikit-learn

🧠 Generative AI

Large Language Models (LLM)
Prompt Engineering
RAG (Context-Grounded Workflows)
OpenAI API Integration
Structured JSON Output Parsing
Hallucination Mitigation Techniques

☁️ Cloud & Deployment

AWS Fundamentals (S3, EC2, Lambda, IAM)
Streamlit Cloud Deployment
REST API Integration

🗄️ Databases

MySQL | MongoDB

🚀 Featured Projects

🔹 SME Contract Risk Analyzer (GenAI)

Tech: Python, OpenAI API, Streamlit

  • Built LLM-based system to analyze legal contracts
  • Implemented document chunking + structured prompts
  • Parsed JSON outputs & applied rule-based risk scoring
  • Designed cloud-compatible backend architecture

👉 View Project

🔹 Fraud Detection Model

Tech: Python, Scikit-learn

  • Built classification model using Logistic Regression & Random Forest
  • Handled imbalanced dataset
  • Optimized Precision, Recall & F1-score

👉 View Project

🔹 SME Financial Risk Scoring Platform

Tech: Python, ML, Streamlit

  • Developed risk prediction model
  • Built interactive dashboard
  • Designed scalable ML pipeline

👉 View Project

💼 Professional Experience

AI & Data Solutions Consultant (Freelance) | 2024 – Present

  • Developed LLM-powered applications
  • Designed structured prompts with validation logic
  • Built fraud & business risk prediction models

Intern – HCL GUVI | 2023

  • Built ML pipelines
  • Developed fraud detection model
  • Performed feature engineering & evaluation

📫 Connect With Me

🔗 LinkedIn: https://www.linkedin.com/in/vijayalakshmikarunanithianithi/
📧 Email: vjk.portfolio@gmail.com

⭐ Open to AI Engineer / ML Engineer / GenAI roles

Popular repositories Loading

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    End-to-end HR Analytics and Employee Attrition Prediction app built with Python and Streamlit. Includes EDA, ML models, and interactive dashboards.

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  2. Supply-Chain-Demand-Forecasting Supply-Chain-Demand-Forecasting Public

    End-to-end Supply Chain Demand Forecasting using Machine Learning and Streamlit with interactive dashboard and feature importance analysis.

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  3. SME-Contract-Risk-Analyzer SME-Contract-Risk-Analyzer Public

    This prototype helps small and medium enterprises quickly identify risky clauses in service contracts and understand them in simple language. It’s fully rule-based and explainable, designed for bus…

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  4. SME-Financial-health-platform SME-Financial-health-platform Public

    An end-to-end AI based financial health assessment platform for Small and Medium Enterprises (SMEs).

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  5. fraud_ai fraud_ai Public

    An AI-powered honeypot API that detects scam messages and autonomously engages scammers to extract actionable intelligence such as bank accounts, UPI IDs, and phishing URLs.

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