<projects.featured />

Searchable case-study index for engineering depth.

Featured work is structured by problem, approach, outcome, and stack so recruiters can scan quickly while hiring managers can drill into technical choices.

5 projects shown

$ start find-the-spy --game-mode
Featured

Find the Spy

An interactive game project designed around deduction, hidden roles, and user engagement.

  • Player setup
  • Random role assignment
  • Spy selection logic
  • Round-based gameplay
Problem
Small-group games need fast onboarding, clear rounds, and enough tension to keep players engaged.
Approach
Structure the product around lightweight session flow, role assignment, timer states, and frictionless mobile-first controls.
ReactTypeScriptUI animationGame logic
cat case-study.md
$ run job-agent --daily-search
Featured

Are You Ready Job Agent

A job search automation agent that helps process profiles, scheduled searches, dry runs, and job matching workflows.

  • Scheduled daily job search
  • Timezone-aware execution
  • User profile readiness checks
  • Matching pipeline
Problem
Job seekers need concise readiness signals, practical next steps, and coaching that feels specific rather than generic.
Approach
Model the app as a focused agentic workflow with profile intake, skill-gap prompts, preparation tasks, and progress checkpoints.
PythonBackend APIsSchedulingAutomationRenderJob matching pipeline
cat case-study.md
$ visualize dsa --interactive
Live

DSA Visualizer Suite

Interactive visualizers for Sudoku Solver, N-Queens, Tic Tac Toe AI, Binary Trees, BSTs, Max-Heaps, and Dijkstra's shortest path.

Problem
Algorithm learning is easier when users can see state changes instead of reading only static explanations.
Approach
Expose step-by-step controls, visual state transitions, and data-structure specific layouts for common DSA topics.
JavaHTMLCSSJavaScriptAWS S3CloudFront
cat case-study.md
$ build revshop --microservices
Case Study
Full explanation video

RevShop E-commerce Platform

Secure e-commerce platform with buyer/seller flows, product browsing, cart management, payment processing, reviews, microservices migration, API Gateway, Docker, Kubernetes, AWS deployment, and unit testing.

  • Buyer and seller authentication
  • Product catalog
  • Cart management
  • Payment processing
Problem
Commerce platforms need reliable product, cart, checkout, and user flows that are easy to evolve.
Approach
Use a layered full-stack architecture with service boundaries, backend validation, and deployment-ready conventions.
JavaSpring BootMySQLHTMLCSSJavaScriptSpring CloudResilience4jJenkinsDockerKubernetesAWS
cat case-study.md
$ deploy ai-chatbot --rag --llm
Professional Experience

AI Chatbot

Enterprise AI chatbot using LLM + RAG architecture, Python REST APIs, Docker workflows, and reusable backend service design.

  • 40% manual query reduction
  • 30% response relevance improvement
  • 60% setup time reduction
  • Integrated with 2+ frontend applications
Problem
BFSI onboarding and support workflows need accurate, context-aware responses while reducing repetitive manual query handling.
Approach
Built around Python REST APIs, LLM orchestration, retrieval-augmented generation, reusable backend architecture, and deployment-friendly Docker/Linux workflows.
PythonREST APIsLLMRAGDockerLinuxGit
cat case-study.md