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πŸ’« About Me:

πŸ‘‹ Hi, I'm Anand Raj
πŸŽ“ B.Tech Computer Science Engineering student building production-focused software across AI systems and full-stack applications.

πŸ’Ό I position myself as a Full Stack Developer, MERN Stack Developer, AI Engineer, and Machine Learning Engineer with hands-on project execution in:

  • React Developer + Node.js Developer workflows (role-based dashboards, task platforms, API-driven apps)
  • Python Developer workflows (FastAPI backends, ML pipelines, RAG systems)
  • NLP Engineer use-cases (semantic retrieval, text pipelines, AI evaluation flows)
  • System Design for secure and scalable applications
  • Strong foundations in Data Structures and Algorithms

πŸš€ Currently exploring:

  • Generative AI and secure enterprise RAG architectures
  • Advanced backend engineering and API reliability
  • Better product thinking for startup-grade software delivery

πŸ› οΈ Tech Stack: Python | JavaScript | TypeScript | SQL | React | Node.js | Express | FastAPI | MongoDB | FAISS | Machine Learning | Artificial Intelligence

πŸ“Œ Projects I enjoy building:

  • AI Interview Platforms
  • SaaS Dashboards
  • NLP & Sentiment Analysis Systems
  • Productivity, Security, and Safety Tech Solutions

🌱 I’m always learning, building, and contributing to open-source.
🀝 Open to internships, collaborations, and impactful product-building opportunities.
πŸ“« Reach me at: anand.ar1806@gmail.com

🌐 Socials:

Instagram LinkedIn email

πŸ’¬ Best way to reach me for opportunities: LinkedIn or Email.

πŸ’» Tech Stack:

HTML5 CSS3 TypeScript Windows Terminal Python PowerShell JavaScript NumPy React scikit-learn Selenium Pandas MongoDB Render NPM PNPM Next JS Vite Git GitHub MySQL Figma Canva Matplotlib Playwright Puppeteer FFmpeg Docker ESLint Prettier

Core engineering focus: Full-stack web apps, AI/ML systems, RAG pipelines, secure APIs, and recruiter-relevant product delivery.

πŸ“Š GitHub Stats:



✍️ Random Dev Quote

πŸ” Top Contributed Repo

πŸš€ Featured Projects

  • Enterprise-RAG-Intelligence β€” Secure enterprise RAG platform with RBAC enforcement, hybrid retrieval, explainability traces, audit logging, and Docker/Kubernetes deployment assets.
    Tech: FastAPI, Next.js, FAISS, Python, Docker, Prometheus/Grafana
  • GyaanSetu β€” AI-powered NCERT tutor built on RAG with semantic retrieval, evaluation pipelines, and full-stack delivery.
    Tech: FastAPI, React, FAISS, sentence-transformers, OpenRouter
  • SafeLink-AI β€” AI-powered malicious URL detection platform with ML-based feature extraction and real-time API scanning.
    Tech: Python, FastAPI, XGBoost, React
  • team-task-manager β€” Production-oriented MERN app with JWT auth, role-based workflows, project/task management, and analytics.
    Tech: React, Node.js, Express, MongoDB, Tailwind
  • saas-admin-dashboard (ClientSphere) β€” SaaS admin panel for client management, KPI tracking, and role-based access.
    Tech: React, Node.js, Express, MongoDB, Recharts
  • intrev-ai β€” AI interview simulator with question generation, speech transcription, and structured feedback dashboards.
    Tech: React, Node.js, MongoDB, Groq (LLaMA), AssemblyAI
  • backend-assignment β€” Concurrency-safe Go backend implementing rolling-window rate limiting and optimized catalog APIs.
    Tech: Go, Gorilla Mux, net/http, in-memory architecture

🧠 Skills Matrix

  • Backend Engineering: FastAPI, Express, REST API design, middleware, validation, auth, rate limiting
  • Frontend Engineering: React, Vite, Next.js, Tailwind CSS, dashboard UX
  • AI / ML / NLP: RAG, vector search, FAISS, embeddings, prompt workflows, model evaluation
  • Data & Analytics: Pandas, NumPy, Matplotlib, KPI analysis, business reporting
  • DevOps & Deployment: Docker, GitHub Actions, Render/Vercel-style deployment workflows, observability basics
  • Security-Oriented Development: RBAC, JWT auth, secure retrieval boundaries, audit logs

πŸ† Achievements & Milestones

  • Built and published multiple end-to-end AI + full-stack products across education, security, productivity, and SaaS domains
  • Implemented both startup-style MVPs and enterprise-style architecture patterns (RBAC, tracing, governance)
  • Demonstrated cross-language proficiency with active repositories in Python, JavaScript/TypeScript, and Go
  • Maintains an active public portfolio with 18 repositories spanning real-world product and systems engineering themes

🎯 Currently Building / Open to Work

  • Building stronger expertise in Generative AI, secure RAG, and scalable backend systems
  • Open to Software Engineering Internships, AI/ML Internships, and Full Stack Developer roles
  • Especially interested in product companies, fast-moving startups, and high-impact engineering teams

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