Saurabh Singh
Full Stack & Generative AI Engineer
Crafting scalable MERN Stack & Next.js web applications, combined with robust Generative AI architectures, high-performance RAG Systems, autonomous AI Agents, and optimized Vector Databases using Python and TypeScript.
Featured Projects
A curated showcase of scalable web applications and intelligent Generative AI products.
Development Philosophy
Hover over any circle or the center star to explore my design and development philosophy.
MockMate - AI Mock Interview Platform
An AI Mock Interview platform with real-time audio transcripts, feedback, and scoring dashboards.
CrushGram - Social Media Application
A full-featured social platform inspired by Instagram and Twitter, incorporating real-time feeds and messaging.
HackHub - Hackathon Management App
Interactive application designed to streamline hackathon creation, team registrations, and evaluation criteria.
Skills & Expertise
A comprehensive toolkit for building modern digital solutions
Generative AI
Vector Databases
ML / AI Foundations
Frontend
Backend
Database
Cloud
DevOps
Generative AI
Generative AI Expertise
Deep technical capability in designing, evaluating, and deploying production-ready AI systems
RAG Architecture
End-to-end Retrieval-Augmented Generation systems integrating ingestion pipelines, semantic retrieval, and conversational synthesizers.
Embeddings & Vector Search
High-dimensional data mapping and query matching. Expertise in dense/sparse hybrid search and index configurations.
Chunking Strategies
Semantic data splitting to retain contextual integrity and optimize chunk relevance for downstream generation.
Agentic Workflows
State-driven AI architectures that utilize cyclic routing and conditional reasoning loops for autonomous task execution.
Tool & Function Calling
Teaching LLMs to interact with third-party APIs, web search engines, databases, and executing deterministic actions.
Prompt Engineering
Designing structured instructions, templates, and patterns to yield consistent, high-fidelity responses.
Evaluation & Monitoring
Systematic performance profiling, response validation, hallucination checking, and latency telemetry.
Work Experience
A history of building scalable web applications and intelligent systems
Website Content Planner & Developer
OSGC
- Planned, structured, and optimized dynamic website layouts and content architecture to maximize search visibility and content engagement.
- Developed full-stack web applications using React, Next.js, and Node.js/Express (MERN stack) for robust content management systems.
- Integrated Generative AI and prompt engineering workflows to automate SEO optimization, keyword tagging, and content summary generation.
- Configured database retrieval models and semantic search integrations utilizing vector databases for high-speed content indexing.
- Maintained version control (Git) and managed containerized cloud deployments (Docker, AWS) for continuous integration of website assets.
GitHub & OSS Contributions
Contribution Graph
About Me
I am a Full Stack & Generative AI Engineer specializing in the MERN stack, Next.js, and advanced LLM architectures. I bridge the gap between robust web development and state-of-the-art artificial intelligence by building production-ready AI applications, agentic workflows, and high-performance Retrieval-Augmented Generation (RAG) pipelines.
With hands-on experience integrating LLM APIs (OpenAI, Gemini, Anthropic), developing orchestrations with LangChain and LangGraph, and optimizing search indexes across vector databases (Pinecone, ChromaDB, LanceDB, FAISS), I design end-to-end intelligent systems. I combine full-stack engineering practices with MLOps awareness and containerized deployments to deliver scalable, secure, and recruiter-friendly solutions.
Certifications & Achievements
Let's Work Together
Have a project in mind? I'd love to hear about it and discuss how we can bring your ideas to life.
Get in Touch
I'm always open to discussing new opportunities, creative projects, or potential collaborations. Feel free to reach out through any of the channels below.