1.0 // MONOJIT GOSWAMI
ARCHITECT
OF AGENTIC AI
Self-taught Backend Developer specializing in RAG based systems and high-performance Machine Learning pipelines.
2.0 // SYSTEM SPECS
Technical Capabilities & Core Architecture
Python
C
C++
JavaScript
TypeScript
SQL
MongoDBI am Monojit Goswami, a backend engineer driven by the potential of autonomous systems. My architecture philosophy focuses on efficiency, modularity, security, and scalability, building high-performance engines that bridge the gap between architectural stability and artificial intelligence.
I specialize in developing general-purpose, high-fidelity backend solutions and RAG-based agentic systems. By leveraging Vector databases and embedding models, I build context-aware applications that transform static data into actionable intelligence.
3.0 // ACTIVE MODULES
Explore Monojit's Projects & Innovations
Shiksha Saathi
A production-grade RAG-based SaaS chatbot providing 24x7 student support for college-specific academic information.
Campus Dost
A multi-tenant SaaS evolution of Shiksha Saathi, providing isolated RAG chatbot instances for multiple educational institutions.
Make-a-Chatbot
A fully client-side chatbot builder that lets users configure and export LLM chatbots using their own API keys without any backend involvement.
Codalyzer
An LLM-powered static code analysis tool that infers time and space complexity and suggests optimizations.
NEXUS
A terminal-style portfolio chatbot with a controlled roast persona and strict conversational constraints.
Certify
A frontend-only mass certificate generation tool with template mapping, advanced typography control, and parallelized client-side processing.
4.0 // NEXUS
Direct Neural Link to AI Core
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