2018
10th Class
Secondary School
Dr. K. R. Narayanan Govt High School, Yanam
Passed in 2018 with a GPA of 9.2.
SSCGPA 9.2Yanam
Hi, I'm Kavitha
AI Developer
Aspiring Data Science and AI Engineer with strong foundations in Python, Machine Learning, and Statistics. Passionate about building intelligent, data-driven solutions for real-world problems and contributing to advanced AI applications through hands-on development.
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AI-Based Projects
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Certificates
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CGPA
AI Developer | Full-Stack Engineer
Academic Journey
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2018
4523
2018
10th Class
Secondary School
Dr. K. R. Narayanan Govt High School, Yanam
Passed in 2018 with a GPA of 9.2.
Projects
A curated portfolio of AI and full-stack solutions, including deployed production-ready projects with live previews and measurable real-world impact.
Data Analysis Toolkit
Developed an end-to-end ML system to predict customer churn and revenue trends. Applied feature engineering, model evaluation, and interactive visualizations to generate actionable business insights.
PythonNumPyPandasMatplotlibSeabornScikit-learn
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How It Works
- Upload or load dataset files for exploration.
- Run preprocessing and feature analysis pipelines.
- Use generated charts and summaries for insights.
How To Verify
- Dataset loads without parsing errors.
- Visualizations render correctly for selected features.
- Summary outputs match expected data patterns.
Multi-Model AI Orchestrator
Built a benchmarking system to compare multiple LLMs (OpenAI, Claude, Gemini) based on latency, cost, and response quality. Implemented scoring mechanisms and interactive dashboards for model evaluation.
PythonFastAPILLMsPrompt EngineeringModel Routing
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How It Works
- Enter a task prompt from the UI.
- System routes requests to suitable models.
- Compare responses and use the best output.
How To Verify
- Model routing selects multiple providers.
- Responses return with low latency.
- Fallback behavior works when one model fails.
MCP AI Assistant
Designed a tool-calling AI assistant using MCP principles to dynamically select and execute tools like web search and document retrieval. Enabled context-aware responses through structured LLM interaction loops.
PythonMCPAI AgentsAutomationTool CallingAPI Integration
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How It Works
- Ask assistant to execute a workflow task.
- Assistant invokes connected tools via MCP.
- Review generated output and action logs.
How To Verify
- Tool calls trigger with correct parameters.
- Assistant returns context-aware responses.
- End-to-end workflow completes successfully.
Deep Learning Model Lab
Developed a multimodal AI application using BLIP/LLaVA to answer questions about images. Integrated FastAPI with Hugging Face Transformers for efficient real-time inference.
PythonTensorFlowNeural NetworksModel TrainingHyperparameter Tuning
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How It Works
- Select or upload an input image.
- Run deep learning model inference on the image.
- Review predicted output and confidence score.
How To Verify
- Image upload/selection works without errors.
- Prediction result appears for each selected image.
- Model output changes correctly for different images.
ML Stock Forecasting Engine
Built a machine learning system using Pandas, NumPy, and Scikit-learn to forecast stock trends. Engineered time-series features and visualized predictions with interactive dashboards and trend analysis.
PythonPandasNumPyScikit-learnTime SeriesFeature Engineering
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How It Works
- Choose stock symbol and date range.
- Generate trend analysis and predictions.
- Inspect charts and forecast indicators.
How To Verify
- Historical data fetch succeeds.
- Forecast graph renders with predicted values.
- Key indicators update when inputs change.
Intelligent Resume Screening Platform
Developed an AI-powered platform to analyze resumes and generate structured insights including strengths, weaknesses, and ATS scores. Implemented role-based interview question generation using prompt-engineered LLM pipelines.
PythonNLPStreamlitText ExtractionSkill MatchingRecommendation Engine
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How It Works
- Upload resume in supported format.
- Run NLP analysis for skills and gaps.
- Review role-fit suggestions and improvements.
How To Verify
- Resume text extraction completes accurately.
- Skill match score appears with suggestions.
- Recommendations align with target role keywords.
RAG Knowledge Assistant
Built a full-stack RAG system using FastAPI, Next.js, and Ollama to enable context-aware Q&A over custom documents. Implemented PDF ingestion, embedding generation with ChromaDB, and a LangChain-based retrieval pipeline to combine semantic search with LLM reasoning.
PythonRAGLLMEmbeddingsVector DBSemantic Search
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How It Works
- Ask a question in the chat interface.
- System retrieves relevant context chunks.
- LLM answers using retrieved evidence.
How To Verify
- Retrieved context is shown or traceable.
- Answers remain grounded in source content.
- Response quality improves over base LLM output.
Smart Notes Knowledge Workspace
MongoDB-powered AI note management workspace with intelligent organization, rapid retrieval, and contextual summaries.
Next.jsTypeScriptMongoDBMongooseAI SummarizationSearch
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How It Works
- Create, edit, and organize notes by topic.
- Use search and AI summarization on notes.
- Persist and retrieve notes from MongoDB.
How To Verify
- CRUD actions reflect instantly in UI.
- Search returns relevant notes quickly.
- Saved notes remain available after refresh.
Additional Projects
Explore additional repositories and production-oriented work from my GitHub profile.
Certifications
A categorized view of technical learning, professional credentials, and extra achievements.
Backend Web Development
Issuer: Professional Academy
Date: 2023
Backend Web Development
Issuer: Learning Platform
Date: 2023
Frontend Web Development
Issuer: Technical Program
Date: 2022
Frontend Web Development
Issuer: Technical Program
Date: 2022
Diploma in Computer Applications
Issuer: Technical Program
Date: 2020
Experience
Professional experience focused on building and improving web applications.
Web Developer Intern
HCL Technologies
Worked on frontend and backend web development tasks, collaborated with team members, and contributed to building responsive, user-focused features aligned with project requirements.
HTMLCSSBootstrapJavaScriptReact
Skills
Python
MySQL
C
C++
Java
Pandas
NumPy
Scikit-learn
Seaborn
TensorFlow
FastAPI
Next.js
TypeScript
JavaScript
React
MongoDB
Docker
Git
GitHub
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