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rehan243/README.md

waving hand    Typing SVG

GitHub followers  LinkedIn  Kaggle  profile visitors

AI / ML Engineer  -  LLM Systems  -  RAG  -  Multi-Agent  -  RLHF  -  MLOps
building production AI that ships to real users, not demos

open to AI/ML roles and collaborations

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about me

i'm an AI/ML engineer. right now i'm building production AI systems at Reallytics.ai and Verticiti, mostly getting large language models to do useful things in the real world. not demos, actual systems with real users and real traffic.

before this i was at Afiniti and Cloud Kinetics for a few years. fraud detection, voice analytics, enterprise search. the kind of stuff that pages you at 3am when something breaks.

honestly what keeps me going is when an agent you built solves something you never explicitly told it to do. that feeling never gets old.

what i'm working on right now:

  • multi-agent systems that don't fall apart when you chain them
  • RAG pipelines that actually return relevant results
  • writing about what i learn every day, check it out here
 coding

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featured projects  rocket

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

RAG Enterprise Search
production-style retrieval pipeline: hybrid dense+sparse search with FAISS and BM25, cross-encoder re-ranking, built to scale on AWS SageMaker.

Voice AI Platform
real-time voice infrastructure built for high-concurrency calls. WebSockets, Kafka, VAD, streaming STT, with a from-scratch sentiment analysis component.

LLM Fine-Tuning LoRA
fine-tuning LLaMA and Mistral with LoRA/QLoRA/PEFT, a cost-efficient alternative to hosted APIs. includes the full training loop, data pipeline, merge + quantize scripts.

RLHF LLM Optimization
full RLHF pipeline: reward model with Bradley-Terry loss, PPO trainer with KL scheduling, DPO as an alternative, plus an eval harness and safety-compliance checks.

Sentinel Fraud Detection
ensemble XGBoost + neural net with a rich engineered feature set. Redis-backed real-time velocity scoring, SHAP explainability, Kafka alert routing.

view all repositories

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tech stack

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

tech stack

the full picture (click to expand)
daily drivers Python, PyTorch, FastAPI, Docker, Git, VS Code
LLM and GenAI LangChain, LlamaIndex, HuggingFace Transformers, vLLM, PEFT/LoRA/QLoRA
data and vector FAISS, ChromaDB, Pinecone, PostgreSQL, MongoDB, Redis, Kafka, Elasticsearch
cloud and 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

GitHub followers   profile views

contribution activity

contribution activity graph

my github contributions eating themselves

contribution snake

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recent writeups

i write about what i'm building and learning. nothing polished, more like notes to my future self that happen to be public.

Unified Fine Tuning Across Llms And Vision, AI engineering article by Rehan Malik

Unified Fine Tuning Across Llms And Vision
2026-07-23

 Superagents For Long Horizon Multi Tasking, AI engineering article by Rehan Malik

Superagents For Long Horizon Multi Tasking
2026-07-23
Clear Topic Name, AI engineering article by Rehan Malik

Clear Topic Name
2026-07-21

 Real Time Ai Inference Optimization, AI engineering article by Rehan Malik

Real Time Ai Inference Optimization
2026-07-20

📚 View all articles ->

recent activity

💬 Commented on Is each subset of the SA-1B dataset randomly shuffled, or do in facebookresearch/segment-anything (2026-07-23)

💬 Commented on issue connecting to Qwen models on chat.qwen.ai in QwenLM/Qwen (2026-07-23)

💬 Commented on When will the first NeMo Speech release after the repo split in NVIDIA-NeMo/Speech (2026-07-23)

💬 Commented on GPT Crawler cli Drop-in config in BuilderIO/gpt-crawler (2026-07-23)

💬 Commented on dspy.Image/dspy.Audio output-field parsing reads arbitrary l in stanfordnlp/dspy (2026-07-23)

💬 Commented on Running tasks cannot be opened as workflow in new tab in Comfy-Org/ComfyUI (2026-07-23)

⭐ Starred zenml-io/zenml (2026-07-23)

⭐ Starred microsoft/promptflow (2026-07-23)

what i'm reading lately

stuff i've been digging into recently. mostly papers, blog posts, and rabbit holes that kept me up too late.

🔬 Model Context Protocol (MCP) for Multi-Agent and Distributed AI Systems

🔬 Unified Fine-Tuning Across LLMs and Vision-Language Models (VLMs)

🔬 SuperAgents for Long-Horizon Multi-Tasking

🔬

🔬 AI Safety and Alignment Engineering

🔬 Real-Time AI Inference Optimization

code snippets

📌 Data Drift Detector using KS-Test, Production Pattern (Python) (2026-07-21)

📌 Vector Similarity Search with FAISS, Production Pattern (Python) (2026-07-20)

📌 Structured Output Validator for JSON Schema, Production Pattern (Python) (2026-07-19)

Profile auto-updated on 2026-07-07 10:12 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.

    Python

  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.

    Python

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

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

    Python

  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