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ReversibleWizard/README.md
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Building backends that think & systems that scale.

  • 🤖   Architecting LLM-powered applications with RAG pipelines and vector search
  • ⚙️   Backend engineering with Python, Flask, Django & REST APIs
  • 🧩   Consistent DSA practice — Arrays, Trees, Graphs, Dynamic Programming
  • 🌱   Currently deepening expertise in DevOps & Cloud Infrastructure
  • 💼   Open to full-time roles & internships — Sayakmitra16@gmail.com

〔 About Me 〕

class SayakMitraMajumder:
    role        = "AI Engineer · Backend Developer · Systems Builder"
    university  = "KIIT University — B.Tech, CSE (Communication Engineering)"
    focus       = ["LLM Applications", "RAG Pipelines", "Scalable Backend Systems"]
    building    = "AI-powered applications at the intersection of NLP and engineering"
    interests   = ["FinTech", "Product-Based Companies", "Distributed Systems"]
    languages   = ["Python", "Java", "JavaScript", "C++", "SQL"]

I architect backend systems powered by AI — from RAG-based retrieval pipelines to REST APIs built for production scale. My work sits at the intersection of Language Models, system design, and clean backend engineering.

〔 Tech Stack 〕

My Skills

Specialized in: LLM APIs   RAG Pipelines   Vector DBs (Qdrant)   REST API Design   Prompt Engineering

〔 Featured Projects 〕

🚀 Student's Corner — AI-Powered Career & Learning Platform   [ Flagship ]

A modular multi-agent AI platform delivering personalized career preparation, code intelligence, and adaptive learning workflows through orchestrated AI pipelines.

🏗️ Architecture & Backend

  • Engineered a modular FastAPI backend with a shared database/repository layer powering multiple independent AI agents from a single service layer
  • Integrated Spring Boot middleware handling authentication, resume parsing, and backend request orchestration between frontend and AI services
  • Designed persistent session architecture with MongoDB-backed pipeline and state storage, including interrupted-session recovery and graceful resumption

🤖 AI Orchestration

  • Built a unified platform integrating three specialized agents: AI Interviewer, Code Reviewer, and Adaptive Roadmap Generator — each operating as an isolated, stateful pipeline
  • Implemented multi-model orchestration across OpenAI, Anthropic (Claude), and ElevenLabs APIs, routing to the appropriate model per agent's task profile
  • Engineered a graph-based roadmap generation pipeline with dynamic node updates, progress tracking, and version restoration support

🤖 AI Portfolio Maker

LLM-powered backend that auto-generates personal portfolio sites

  • Prompt-engineered generation pipeline with context-aware LLM calls
  • RAG architecture using vector embeddings for personalized content retrieval
  • REST API layer with structured output parsing and template rendering

Python Flask LLM APIs Qdrant RAG

🎓 Intelligent Tutoring System

AI-driven adaptive learning platform with performance analytics

  • Adaptive assessment engine that adjusts difficulty based on learner response patterns
  • Real-time feedback pipeline integrated into a multi-subject student dashboard
  • Modular backend architecture designed for extensibility across content domains

Python AI/ML REST APIs Backend

🎬 Movie Recommendation System

Content-based recommendation engine using feature similarity

  • TF-IDF vectorization and cosine similarity for accurate content matching
  • Efficient pandas-based data pipeline processing 5,000+ movie records
  • Clean inference interface designed for API integration

Python Pandas NumPy Scikit-learn

🏦 Bank Management System

Role-based backend banking application with full CRUD operations

  • Enforces role-based access control across customer and admin tiers
  • Transaction integrity maintained with relational schema and constraint validation
  • Structured Java OOP design with clean separation of service and data layers

Java SQL OOP RBAC

〔 Problem Solving 〕

Platform Focus Areas Profile
LeetCode Arrays · HashMaps · Stacks · Queues · Trees · Graphs ReversibleWizard

Consistent practice in data structures and algorithms with emphasis on time/space complexity optimization and clean problem decomposition.

  GitHub Stats Overview
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〔 Certifications 〕

 

Open to Backend / AI Engineering roles · Full-time · Internships · Collaborations


 



Building systems that think. Architecting backends that scale.

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  1. Intelligent-Tutoring-System Intelligent-Tutoring-System Public

    JavaScript

  2. Task-Manager Task-Manager Public

    Keploy API Fellowship tasks

    Python

  3. Bank-Management-System Bank-Management-System Public

    Python

  4. Libraray-Management-System Libraray-Management-System Public

    Python

  5. Movie-Recommender-System Movie-Recommender-System Public

    Python

  6. CareerAgent CareerAgent Public

    TypeScript 1