
- 🤖 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
classSayakMitraMajumder:
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.
Specialized in:LLM APIsRAG PipelinesVector DBs (Qdrant)REST API DesignPrompt Engineering
A modular multi-agent AI platform delivering personalized career preparation, code intelligence, and adaptive learning workflows through orchestrated AI pipelines.
🏗️ Architecture & Backend
| 🤖 AI Orchestration
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| Platform | Focus Areas | Profile |
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| 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.



