Mustakim Shaikh

01 — About

Who I Am

Generative AI Engineer from Chandigarh, India — passionate about turning cutting-edge research into real-world AI systems.

I specialise in LLM-based applications, building everything from RAG pipelines and multi-agent orchestration systems to local inference setups with Ollama & llama.cpp. I'm deeply curious about the evolving AI landscape — whether it's MCP, autonomous agents, or the latest open-source models, I explore every new development with hands-on experimentation.

Under deadlines and production pressure I stay calm, iterate fast, and ship quality systems. My MCA background with a 8.02 CGPA gave me strong CS fundamentals; three years of engineering experience taught me how to build things that last.

LLM Engineer RAG Architect Multi-Agent Systems Handles Pressure ✓ Fast Learner ✓ Open Source

02 — Skills

Technical Arsenal

🤖

GenAI & LLMs

Large Language Models RAG Pipelines Prompt Engineering Multi-Agent Systems Ollama / llama.cpp TinyLlama / Mistral / Qwen vLLM Agentic Workflows

⚙️

Frameworks & Libraries

LangChain HuggingFace Transformers FastAPI Flask spaCy Celery Next.js / React LlamaIndex

🧠

ML & NLP

Transformers Semantic Search Vector Embeddings TF-IDF / Cosine Similarity NLP Pipelines Named Entity Recognition Fine-tuning (LoRA/QLoRA) Knowledge Graphs

🗄️

Databases & Data

PostgreSQL MongoDB Redis SQLite Qdrant (Vector DB) ChromaDB Pinecone SQLAlchemy

☁️

Cloud & DevOps

AWS (EC2, S3, Lambda) Docker Git / GitHub CI Linux MLflow Weights & Biases Nginx WebSockets

🌐

AI Platforms

HuggingFace Hub Kaggle OpenAI API Anthropic Claude API Colab / Jupyter Model Context Protocol Three.js / GSAP Streamlit

03 — Experience

Work History

AI & Machine Learning Engineer

Vikash Tech Solution · Remote

Jun 2025 – Present

Built LLM-powered document processing systems handling 5K+ documents/month, reducing manual analysis by ~50%.
Developed RAG pipelines improving retrieval accuracy by ~25% across internal knowledge bases.
Designed FastAPI services serving 300+ daily AI queries with avg latency <400ms.
Implemented local LLM inference with Ollama & llama.cpp, cutting external API costs by ~30%.
Architected multi-agent workflows for automated content review and classification.

LangChainFastAPIRAGOllamallama.cppSQLAlchemy

Software & Data Engineer

Siddharth Carbon Chemicals Ltd · Remote

Apr 2024 – Jun 2025

Built analytics processing 30K+ production records/day to monitor manufacturing performance.
Automated data pipelines reducing manual reporting by ~40%.
Created operational dashboards identifying production inefficiencies proactively.
Automated ERP workflows including inventory tracking and cross-team reporting modules.

PythonPostgreSQLETL PipelinesERPDashboards

Associate Software Engineer

RhythmFlows Solutions Pvt. Ltd. · Pune

Aug 2022 – Mar 2024

Developed backend APIs and automation modules for ERP and financial workflow systems.
Improved database query performance through optimized SQL logic and indexing strategies.
Built internal automation tools reducing data-processing time significantly.
Supported deployment, debugging, and performance optimization of production services.

PythonFlaskSQLREST APIsAutomation

04 — Projects

Featured Projects

AgencyOS autonomous AI marketing agency dashboard

View on GitHub ↗

01

🏢 AgencyOS

Fully autonomous AI-powered marketing agency. 9 specialized LLM agents (Strategist, Writer, Approver, Risk Officer, Finance Controller…) collaborate via a 5-level authority governance engine with full audit trail. Built a 3D Metaverse office with Three.js + GSAP and live WebSocket dashboard. Local-only LLMs — zero OpenAI cost.

9 AI AgentsLocal LLMs (No API Cost)3D Office (Three.js)RAG IntegrationAuthority Engine

PythonFastAPILangChainThree.jsGSAPSQLiteWebSocket

View on GitHub ↗

02

📄 PageTutor AI

Enterprise-grade PDF → complete learning experience. AI summaries, flashcards, quizzes, auto PowerPoint, 10+ language TTS narration, video lectures, and Chat-with-PDF RAG Q&A. Enterprise architecture: vLLM + Celery + Qdrant + Next.js SSR.

RAG Q&A10+ Languages TTSAuto PPT + Video

FastAPINext.jsvLLMQdrantCeleryRedis

View on GitHub ↗

03

🛡️ Incident Platform

Senior-level end-to-end incident management system. Python AI analysis engine, Java Spring Boot REST API, React UI — all containerized. Human-in-the-loop approvals, clean microservice boundaries, defensive automation.

Human-in-LoopMicroservicesDockerized

PythonJava Spring BootReactDocker

View on GitHub ↗

04

🎯 SkillMatch AI

AI resume–job matching platform. NLP (spaCy + TF-IDF) + advanced DSA (Skill Trie O(k), Skill Graph DAG with topological sort). Detects skill gaps and generates dependency-ordered learning roadmaps. Full-stack: React 18 + FastAPI + Docker.

NLP MatchingSkill Trie + Graph DAGLearning Roadmap

PythonspaCyReact 18MongoDBDocker

05 — Certifications & Learning

Continuous Learning

GenAI

Introduction to Generative AI

GenAI fundamentals, model architectures, use cases, and ethical considerations

AI Foundations

LLM

Large Language Models & Prompt Engineering

Chain-of-thought, few-shot, self-consistency, and advanced steering techniques

LLMsPrompting

🤗

HuggingFace Transformers & NLP Fundamentals

Transformer architectures, fine-tuning pipelines, tokenizers, and model hub

TransformersNLP

RAG

RAG & Vector Database Engineering

Building retrievers, chunking strategies, embedding models, reranking, Qdrant/ChromaDB

RAGVectorDB

Spec

Generative AI Engineering Specialization

End-to-end GenAI product engineering, deployment patterns, and scaling strategies

GenAI Engineering

Safe

Responsible AI & AI Safety Concepts

Bias, fairness, alignment, hallucination mitigation, and governance frameworks

AI SafetyEthics

MCP

Model Context Protocol (MCP)

MCP architecture, tool use, structured agent communication protocols

AgentsMCP

MLOps

MLOps & Model Deployment Fundamentals

MLflow, experiment tracking, model versioning, CI/CD for ML, Docker-based serving

MLflowCI/CD

DS

Data Structures & Algorithms for AI

Tries, Graphs, DAG traversal, topological sort, embeddings DSA — applied in AI systems

DSAApplied AI

06 — Contact

Let's Build
Something Great

I'm actively looking for AI Engineer / LLM Engineer roles. If you're building something ambitious with AI — I'd love to be part of it. Ready to relocate or work remotely.

📧

Emailmustakim.shaikh.prof@gmail.com

📱

Phone+91 9359768168

💼

LinkedInmustakim-sh

🐙

GitHubMustakimShaikh01

🤗

HuggingFaceProfile ↗

📊

KaggleNotebooks ↗