Hi, I'm Kavitha

I build intelligent and scalable software systems with strong foundations in backend engineering, machine learning, and computer networks.

I focus on performance, reliability, and network-aware architecture for real-world applications.

HTTPAPIsLatencySystems DesignAI
View Projects
Kavitha profile photo

Software Engineer | AI & Network Systems

Academic Journey

Academic Journey

Scroll to move the train station by station through my academic timeline.

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

Projects

A curated portfolio of system-driven applications, including network-aware platforms, backend systems, and AI-powered solutions with real-world impact.

Focused on building systems that are scalable, network-aware, and performance-driven.

Network Monitoring & API Performance Analyzer

Featured

Designed a network monitoring system to analyze API and website performance by tracking response latency, status codes, and uptime in real time. Implemented periodic health checks and visualized system behavior through an interactive dashboard.

Concepts: HTTP Lifecycle, Latency Analysis, Client-Server Architecture, API Monitoring

Next.jsTypeScriptHTTPLatencyAPI MonitoringSystem Design
GitHubLive Preview

How It Works

  1. Add one or more API or website URLs for monitoring.
  2. Run periodic checks to track uptime and latency.
  3. Review performance trends and health signals in dashboard.

How To Verify

  1. Status code and uptime values update for each endpoint.
  2. Latency trends change as new checks complete.
  3. Failed endpoints are highlighted with clear error state.
GitHubLive Preview

Live HTTP Traffic Monitoring System

Featured

Built a real-time HTTP traffic monitoring system to capture and analyze request flows, compute latency, and track system performance. Implemented middleware-based logging and live dashboard visualization for request insights.

Concepts: HTTP Lifecycle, Latency Analysis, Client-Server Architecture, API Monitoring

FastAPINext.jsWebSocketsSQLiteHTTPLatencyAPI MonitoringSystem Design
GitHubLive Preview

How It Works

  1. Start traffic stream or simulation from the dashboard.
  2. Track live request volume and latency metrics.
  3. Filter request logs to inspect endpoint-level behavior.

How To Verify

  1. Live metric counters update in real time.
  2. WebSocket stream reflects incoming request flow.
  3. Request logs persist and reload from SQLite.
GitHubLive Preview

Intelligent Resume Screening Platform

Developed a resume intelligence system that extracts candidate signals, maps role relevance, and generates actionable screening insights. Focused on reliable text processing and structured evaluation for faster hiring decisions.

PythonNLPStreamlitText ExtractionSkill MatchingATS Insights
GitHubLive Preview

How It Works

  1. Upload resume in supported format.
  2. Run NLP-based skill and role-fit analysis.
  3. Review ATS-oriented recommendations.

How To Verify

  1. Resume parsing extracts content accurately.
  2. Role-fit score appears with matched skills.
  3. Recommendations align with target role.
GitHubLive Preview

RAG Knowledge Assistant

Built a retrieval-powered knowledge assistant to answer user questions with grounded evidence from documents. Combined semantic retrieval and language generation for reliable, context-aware responses.

PythonRAGEmbeddingsVector DBSemantic SearchLangChain
GitHubLive Preview

How It Works

  1. Upload documents and ask contextual questions.
  2. System retrieves relevant chunks from vector store.
  3. LLM answers using retrieved evidence.

How To Verify

  1. Context retrieval maps to relevant source chunks.
  2. Responses remain grounded to uploaded content.
  3. Answer quality improves over base prompting.
GitHubLive Preview

Multi-Model AI Orchestrator

Designed a model orchestration workflow to route prompts across multiple LLM providers and compare outputs. Focused on response quality, latency, and fallback reliability for production-style AI workflows.

PythonFastAPILLMsModel RoutingPrompt Engineering
GitHubLive Preview

How It Works

  1. Enter a task prompt from the interface.
  2. Route requests to suitable model providers.
  3. Compare outputs for quality and response speed.

How To Verify

  1. Routing logic dispatches to multiple providers.
  2. Fallback works when one provider fails.
  3. Comparative outputs include timing signals.
GitHubLive Preview

Data Analysis Toolkit

Created a data exploration and predictive analysis toolkit to transform raw datasets into usable business insights. Emphasized clean preprocessing, feature relevance, and interpretable output visualizations.

PythonNumPyPandasMatplotlibSeabornScikit-learn
GitHubLive Preview

How It Works

  1. Load datasets for analysis workflow.
  2. Run preprocessing and feature diagnostics.
  3. Generate visual summaries and predictions.

How To Verify

  1. Dataset ingestion works without schema errors.
  2. Visual outputs align with selected features.
  3. Model summary metrics update correctly.
GitHubLive Preview

Deep Learning Model Lab

Built a deep learning inference lab for image-driven understanding workflows. Focused on stable model execution, response consistency, and practical usage flow for multimodal experimentation.

PythonTensorFlowNeural NetworksInferenceModel Evaluation
GitHubLive Preview

How It Works

  1. Select or upload an image for inference.
  2. Run deep learning prediction pipeline.
  3. Inspect output response and confidence.

How To Verify

  1. Image input pipeline processes valid files.
  2. Inference output appears per uploaded image.
  3. Prediction values vary with different inputs.
GitHubLive Preview

ML Stock Forecasting Engine

Implemented a forecasting engine to model stock movement trends from historical market signals. Focused on time-series feature pipelines and robust visualization for interpretable prediction behavior.

PythonPandasNumPyScikit-learnTime SeriesForecasting
GitHubLive Preview

How It Works

  1. Choose symbol and historical time window.
  2. Generate trend and forecast analysis.
  3. Inspect charted output with projected values.

How To Verify

  1. Historical data retrieval succeeds.
  2. Forecast plots render with new predictions.
  3. Indicators update when input configuration changes.
GitHubLive Preview

MCP AI Assistant

Designed an assistant workflow that orchestrates tool calls to complete multi-step tasks with contextual reasoning. Focused on reliable API integration, execution control, and traceable automation outputs.

PythonMCPAI AgentsTool CallingAPI IntegrationAutomation
GitHubLive Preview

How It Works

  1. Submit a workflow request from the assistant interface.
  2. Assistant selects and executes tools through MCP flow.
  3. Review generated output and tool execution details.

How To Verify

  1. Tool calls are triggered with valid parameters.
  2. Workflow completes with contextual responses.
  3. Execution trace reflects each step correctly.
GitHubLive Preview

Smart Notes Knowledge Workspace

Built a knowledge workspace for organizing notes with searchable storage and structured retrieval. Emphasized reliable persistence, fast lookup, and clean user flow for daily information management.

Next.jsTypeScriptMongoDBMongooseSearchCRUD APIs
GitHubLive Preview

How It Works

  1. Create and organize notes by topic.
  2. Search and retrieve notes quickly from the workspace.
  3. Update or remove entries with persistent storage.

How To Verify

  1. Create/edit/delete operations reflect in UI instantly.
  2. Saved notes remain after refresh and relogin.
  3. Search returns relevant notes for keyword queries.
GitHubLive Preview
Certifications

Certifications

A categorized view of technical learning, professional credentials, and extra achievements.

Backend Web Development

Backend Web Development

Issuer: Professional Academy

Date: 2023

Backend Web Development

Backend Web Development

Issuer: Learning Platform

Date: 2023

Frontend Web Development

Frontend Web Development

Issuer: Technical Program

Date: 2022

Frontend Web Development

Frontend Web Development

Issuer: Technical Program

Date: 2022

Diploma in Computer Applications

Diploma in Computer Applications

Issuer: Technical Program

Date: 2020

Experience

Experience

Professional experience focused on building and improving web applications.

Web Developer Intern

HCL Technologies

6 Weeks

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

Skills & Expertise

Focused on building network-aware backend systems and observability tools.

Networking & Systems

Core focus area for system behavior, traffic flow, and reliability

HTTP/HTTPS

REST APIs

Latency Analysis

API Monitoring

Request Lifecycle

Observability

Logs + Metrics

Backend Engineering

Service development, middleware, and API architecture

Python

FastAPI

Node.js

Middleware

Databases & Storage

Operational and distributed data modeling

MySQL

MongoDB

Cassandra

Distributed DB

Neo4j

Graph / Network DB

Frontend & Visualization

Responsive interfaces and data-driven UI presentation

Next.js

React

TypeScript

JavaScript

Seaborn

AI / ML

Applied ML capabilities supporting intelligent system features

TensorFlow

Scikit-learn

Pandas

NumPy

Tools

Delivery, collaboration, and version control workflow

Docker

Git

GitHub

C

C++

Java

AI Companion

Portfolio Chatbot

Ask quick questions about my profile and work.

Hi! Ask me about projects, skills, certifications, timeline, or contact.