AI Generalist · Bengaluru, India

Visualizing intelligence, and shipping it.

I'm Syed Shahid Nazeer, an AI Generalist working across Generative AI, LLMs, RAG systems and data science. I build the model, the product around it, and the story that makes it land.

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Syed Shahid Nazeer

AI Generalist · Bengaluru

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I'm an AI Generalist at Rapyder Cloud Solutions, based in Bengaluru. My work sits at the join between the model and the product around it — generative AI, retrieval-augmented systems, NLP and the data science that grounds all of it — carried from a working prototype to something people actually use.

5Shipped projects

3Core focus areas

13+Tools & stacks

Generative AI · NLP · Data Science

The stack behind the work.

From prompt design to production pipelines.

Core focus

Data & reporting

Web & delivery

AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB :: LangChain

SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB :: LangChain :: Transformers :: Semantic Search :: Fine-Tuning :: Embeddings :: Haystack :: Streamlit :: AWS

Vector DB :: LangChain :: Transformers :: Semantic Search :: Fine-Tuning :: Embeddings :: Haystack :: Streamlit :: AWS :: TF-IDF :: Feature Engineering :: Time-Series :: Hugging Face :: PyTorch :: Tokenization :: Context Window

Streamlit :: AWS :: TF-IDF :: Feature Engineering :: Time-Series :: Hugging Face :: PyTorch :: Tokenization :: Context Window :: Chain-of-Thought :: Zero-Shot :: Knowledge Graphs :: AI Governance :: Conversational AI :: Text Classification :: AI Engineer

Tokenization :: Context Window :: Chain-of-Thought :: Zero-Shot :: Knowledge Graphs :: AI Governance :: Conversational AI :: Text Classification :: AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM

Text Classification :: AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB

GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB :: LangChain :: Transformers :: Semantic Search :: Fine-Tuning :: Embeddings :: Haystack :: Streamlit

Multi-Agent :: Vector DB :: LangChain :: Transformers :: Semantic Search :: Fine-Tuning :: Embeddings :: Haystack :: Streamlit :: AWS :: TF-IDF :: Feature Engineering :: Time-Series :: Hugging Face :: PyTorch :: Tokenization

Haystack :: Streamlit :: AWS :: TF-IDF :: Feature Engineering :: Time-Series :: Hugging Face :: PyTorch :: Tokenization :: Context Window :: Chain-of-Thought :: Zero-Shot :: Knowledge Graphs :: AI Governance :: Conversational AI :: Text Classification

PyTorch :: Tokenization :: Context Window :: Chain-of-Thought :: Zero-Shot :: Knowledge Graphs :: AI Governance :: Conversational AI :: Text Classification :: AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI

Conversational AI :: Text Classification :: AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent

Text Classification :: AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB

AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB :: LangChain

Text Classification :: AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB

Conversational AI :: Text Classification :: AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent

Text Classification :: AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB

AI Engineer :: LLM :: NLP :: ML :: DL :: RAG :: GenAI :: SmolLM :: Prompt Engineering :: Agentic AI :: Gemini :: BERT :: MLOps :: Multi-Agent :: Vector DB :: LangChain

Grounded & governed.

AI Generalist

Answers traced back to their sources, not invented.

My Projects

CivicCheck.aiAn NGO governance and compliance advisor built on Streamlit and Google Gemini. A single multi-expert agent reasons as six specialists at once — chartered accountant, business strategist, NGO operations lead, voluntary-sector SME, non-profit consultant and social-sector analyst — grounded in the Income Tax Act 2025 and FCRA Rules 2025. Consultations export as styled PDFs.

The Lost CloudVerseA 2D side-scrolling platformer built from scratch for Rapyder. Three worlds map real infrastructure pain to level design — an AWS cost-and-compliance wasteland, an Azure performance city with throttling zones, and a GCP data labyrinth — before a boss fight against the Multi-Cloud Chaos Titan.

Rapyder Swipe OpsA swipe-to-answer cloud myth-busting quiz — right for true, left for false, with keyboard and button fallbacks for accessibility. No build step, no dependencies. Every card carries a why-it-matters explainer and its own call to action, covering Lambda concurrency limits, S3 lifecycle tiering and premature microservices.

Oil Price PredictionTime-series forecasting of crude oil prices, taking raw market data through cleaning, feature engineering and seasonal decomposition before comparing statistical and machine-learning forecasters. Delivered as an interactive app so the horizon and model can be changed on the fly.

Fake News DetectionAn NLP classifier that separates genuine reporting from fabricated articles. Combines classical TF-IDF baselines with fine-tuned transformer embeddings, and reports precision and recall rather than raw accuracy — the distinction that matters when false positives carry a reputational cost.

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Who is Syed Shahid Nazeer?

Syed Shahid Nazeer is an AI Generalist based in Bengaluru, India, working at Rapyder Cloud Solutions. He builds generative AI, retrieval-augmented generation (RAG), natural language processing (NLP) and data science systems, and carries them from a working prototype to a product people use.

What does an AI Generalist like Syed Shahid Nazeer work on?

He works across the whole AI product: prompt and model design, retrieval pipelines that ground answers in source documents, the data science underneath, and the application around it. His focus areas are Generative AI, NLP and Data Science.

What projects has Syed Shahid Nazeer built?

His projects include CivicCheck.ai, an NGO compliance advisor built on Google Gemini; The Lost CloudVerse, a Phaser game for Rapyder; Rapyder Swipe Ops, an AWS myth-busting quiz; an oil price forecasting app; and a fake news detection classifier using BERT and TF-IDF.

Which technologies does Syed Shahid Nazeer use?

Python, MySQL, Power BI and Excel for data work; JavaScript, TypeScript, React, Next.js, Node.js and Docker for products; and Google Gemini, LangChain, Haystack, BERT, Transformers, vector databases and Streamlit for AI systems.

Is Syed Shahid Nazeer available for work?

Yes. He is open to roles, freelance projects and collaborations in applied AI.

How can I contact Syed Shahid Nazeer?

Email him at shahidnazeerds@gmail.com, message him on LinkedIn at linkedin.com/in/shahidnazeersyed, or use the contact form on his portfolio. His code is on GitHub at github.com/Syedshahidnazeer.