AI/ML & Generative AI

Intelligent Solutions Powered by AI

From machine learning models to generative AI applications, I build intelligent systems that automate tasks, provide insights, and enhance user experiences.

AI/ML Projects

Production-ready machine learning applications delivering real business value

AI/ML Application

Skillmap AI

Career Predictor and Job Finder

Challenge

Job seekers struggle to identify career paths that match their skills and interests, often applying to unsuitable positions and facing rejection.

Solution

Built an AI-powered platform that analyzes user skills, experience, and preferences to predict optimal career paths and match them with relevant job opportunities using machine learning algorithms.

AI/MLGenAIWeb App

View Case Study

Generative AI Solutions

Business-ready GenAI applications for automation and intelligence

AI Chatbot for Websites

Intelligent customer support that understands context and provides accurate answers 24/7.

Natural conversationsMulti-language supportCRM integration

RAG Knowledge Base Assistant

Chat with your documents, manuals, and knowledge bases to find information instantly.

Document Q&ASource citationsReal-time updates

AI Content Assistant

Automate content creation with AI-powered summaries, drafts, and transformations.

Smart summarizationMulti-format outputBrand voice training

AI Automation Workflows

Extract, classify, generate, and send information automatically with AI pipelines.

Data extractionSmart classificationAutomated actions

How GenAI Works

Understanding the workflow behind intelligent AI systems

Step 1

Input

User question or task

Text input
Voice command
Structured data

Step 2

Retrieval (RAG)

Find relevant context

Vector search
Keyword matching
Metadata filtering

Step 3

Generation (LLM)

AI creates response

Context-aware
Natural language
Task-specific

Step 4

Guardrails

Ensure quality & safety

Format validation
Citation tracking
Rate limiting

Step 1

Input

User question or task

Text input
Voice command
Structured data

Step 2

Retrieval (RAG)

Find relevant context

Vector search
Keyword matching
Metadata filtering

Step 3

Generation (LLM)

AI creates response

Context-aware
Natural language
Task-specific

Step 4

Guardrails

Ensure quality & safety

Format validation
Citation tracking
Rate limiting

Accurate Responses

Grounded in your data with source citations

Natural Language

Human-like interactions that users love

Safe & Controlled

Built-in guardrails and quality checks

Ready to Add AI to Your Business?

Let's discuss how AI and machine learning can solve your specific challenges.