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rehan243/README.md

waving hand animation    Typing SVG — AI Engineer, RAG, LLM, Agents

GitHub followers  LinkedIn — Rehan Malik AI Engineer  Kaggle — Machine Learning  profile visitors

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About Me — AI/ML Engineer | Generative AI | LLM Systems

i'm an AI/ML engineer based in the US, currently building production AI systems at Reallytics.ai and Verticiti. most of my work revolves around getting large language models to do useful things in production — not toy demos, actual systems handling real traffic.

before this, i spent years at Afiniti and Cloud Kinetics doing the grunt work of making ML models reliable at scale. fraud detection, voice analytics, enterprise search — the kind of stuff that breaks at 3am and you have to fix.

what keeps me going: that moment when an AI agent you built actually solves a problem you didn't explicitly program it for. still hits different every time.

right now i'm deep into:

  • multi-agent systems that coordinate without falling apart
  • RAG pipelines that actually find what you're looking for
  • writing daily about what i learn — AI Engineering Notes
 developer coding animation — AI engineer at work

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Featured Projects — AI Agents, RAG, LLM Fine-Tuning  rocket

Agentic AI Workflows — Production AI Agents
8 specialized AI agents with LangChain + OpenAI function calling. multi-agent orchestration with planning loops and guardrails. the project i'm most excited about.

RAG Enterprise Search — Retrieval-Augmented Generation
production retrieval pipeline over 2TB+ data. LangChain, FAISS, ChromaDB, cross-encoder re-ranking. deployed on AWS SageMaker.

Voice AI Platform — Real-Time Speech AI
real-time voice infrastructure handling 500+ concurrent calls. WebSockets, Apache Kafka, gRPC with CUDA. speech-to-text, sentiment analysis.

LLM Fine-Tuning (LoRA/QLoRA) — Parameter-Efficient Fine-Tuning
fine-tuning LLaMA-2 and Mistral with LoRA/QLoRA/PEFT. 40% cost reduction vs hosted APIs. vLLM serving on SageMaker.

RLHF LLM Optimization — Reinforcement Learning from Human Feedback
full RLHF pipeline — supervised fine-tuning, reward modeling, PPO with KL constraints. 68% win rate, 96% safety compliance.

Sentinel Fraud Detection — Explainable AI
ensemble XGBoost + Isolation Forest with 650+ engineered features. SHAP explainability, UMAP clustering, GenAI reports via Amazon Bedrock.

view all repositories

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Tech Stack — Python, PyTorch, LangChain, AWS, Docker

i'm not going to pretend i use everything equally. here's what i actually reach for day-to-day:

tech stack icons — Python PyTorch TensorFlow Docker AWS GCP FastAPI Kafka Redis PostgreSQL MongoDB Git Linux VS Code

the full picture (click to expand)
daily drivers Python, PyTorch, FastAPI, Docker, Git, VS Code
LLM & GenAI LangChain, LlamaIndex, HuggingFace Transformers, vLLM, PEFT/LoRA/QLoRA
vector & data FAISS, ChromaDB, Pinecone, PostgreSQL, MongoDB, Redis, Kafka, Elasticsearch
cloud & MLOps AWS (SageMaker, Bedrock, Lambda, ECS), GCP Vertex AI, Azure OpenAI
ML frameworks TensorFlow, scikit-learn, XGBoost, LightGBM, ONNX
infrastructure Kubernetes, Terraform, GitHub Actions, MLflow, Weights & Biases

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GitHub Stats

i commit a lot. sometimes it's good code, sometimes it's "fix: typo in typo fix".

Rehan Malik GitHub stats GitHub contribution streak

top programming languages — Python

GitHub Trophies

GitHub profile trophies

Contribution Activity Graph

GitHub contribution activity graph

Contribution Snake Animation

GitHub contribution snake animation

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Latest AI Research Articles

i publish research notes daily — not polished papers, just honest writeups of what i'm learning and building. think of it as a public lab notebook for generative AI, LLM fine-tuning, RAG, and agentic systems.

Streaming Model Inference For Real Time Applicatio

Streaming Model Inference For Real Time Applicatio
2026-04-24

 Fine Tuned Llms For Enterprise Retrieval Augmented

Fine Tuned Llms For Enterprise Retrieval Augmented
2026-04-24
Explainable Ai Xai For Trustworthy Models

Explainable Ai Xai For Trustworthy Models
2026-04-23

 Edge Ai For Real Time Inference

Edge Ai For Real Time Inference
2026-04-23

📚 View all articles →

Recent Open-Source Activity

📝 Opened issue [Feature] Automatic LoRA rank recommendation based on datase in axolotl-ai-cloud/axolotl (2026-04-24)

💬 Commented on Integrate SAM3-LiteText to Ultralytics in ultralytics/ultralytics (2026-04-24)

💬 Commented on Crazy Logging I want to shut it down in NVIDIA-NeMo/NeMo (2026-04-24)

💬 Commented on Regression in 1.1.7 (#7498): Second regenerate from latest c in langchain-ai/langgraph (2026-04-24)

💬 Commented on Issue with the custom nodes. in modal-labs/modal-examples (2026-04-24)

💬 Commented on [Model Request] Support Gemma4 in mlc-ai/mlc-llm (2026-04-24)

💬 Commented on AuxiliaryTrainingWrapper.forward requires positional x, br in huggingface/peft (2026-04-24)

💬 Commented on Error: Gemini 3 Pro - Unknown error in continuedev/continue (2026-04-24)

Currently Researching  globe animation

topics discovered daily by a multi-model AI research engine (GPT-4.1, Grok-3, DeepSeek R1, Llama-4)

🔬 Efficient Model Serving with Quantization and Distillation

🔬 Streaming Model Inference for Real-Time Applications

🔬 Fine-Tuned LLMs for Enterprise Retrieval-Augmented Generation (RAG)

🔬 Synthetic Data Generation for ML Training

🔬 Explainable AI (XAI) for Trustworthy Models

🔬 Edge AI for Real-Time Inference

Code Snippets & Gists

📌 Async Retry Pattern with Exponential Backoff — Production Pattern (Python) (2026-04-24)

📌 Async Retry Pattern with Exponential Backoff — Production Pattern (Python) (2026-04-24)

📌 RAG Relevance Scorer using Cross-Encoder — Production Pattern (Python) (2026-04-23)

🤖 Profile auto-updated on 2026-04-24 19:03 UTC

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if you made it this far, you should probably just say hi

connect on LinkedIn   follow on GitHub

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  1. Voice-AI-Platform Voice-AI-Platform Public

    Real-time voice AI infrastructure — 500+ concurrent calls, WebSockets, Apache Kafka, gRPC/C++ with CUDA. Speech-to-text, sentiment analysis, sales insights.

    Python

  2. Agentic-AI-Workflows Agentic-AI-Workflows Public

    Production AI Agents for enterprise automation — 8+ specialized agents using LangChain, OpenAI function calling, and FastAPI. Multi-agent orchestration, tool use, planning loops, guardrails.

  3. BiiView-Object-Detection BiiView-Object-Detection Public

    Real-time object detection with Meta AI Segment Anything Model (SAM) — 90% accuracy across 11M+ images and 1.1B+ segmentation masks.

  4. Digital-People-Platform Digital-People-Platform Public

    Hyper-realistic talking avatars — SadTalker lip-sync + Microsoft SpeechT5 TTS + OpenAI conversational AI. 70% realism improvement.

  5. LLM-Fine-Tuning-LoRA LLM-Fine-Tuning-LoRA Public

    Fine-tuning LLaMA-2, Mistral with LoRA, QLoRA, PEFT — 40% cost reduction vs hosted APIs. VLLM serving with CUDA optimization on AWS SageMaker.

    Python

  6. RAG-Enterprise-Search RAG-Enterprise-Search Public

    Production RAG pipeline — enterprise knowledge retrieval across 2TB+ data using LangChain, FAISS, ChromaDB, PG-Vector with cross-encoder re-ranking. Deployed on AWS SageMaker.

    Python