Skip to content
View rehan243's full-sized avatar
🎯
Focusing
🎯
Focusing
155 followers · 612 following

Block or report rehan243

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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

divider

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

divider

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

divider

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

divider

github stats

GitHub followers   profile views

contribution activity

contribution activity graph

my github contributions eating themselves

contribution snake

divider

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.

Multi Agent Llm Financial Trading Framework, AI engineering article by Rehan Malik

Multi Agent Llm Financial Trading Framework
2026-07-10

 Clear Topic Name, AI engineering article by Rehan Malik

Clear Topic Name
2026-07-09
Clear Topic Name, AI engineering article by Rehan Malik

Clear Topic Name
2026-07-08

 Fine Tuning And Serving Tiny Llms 1B Parameters, AI engineering article by Rehan Malik

Fine Tuning And Serving Tiny Llms 1B Parameters
2026-07-07

📚 View all articles ->

recent activity

💬 Commented on [Bug] FastSentenceTransformer silently degrades Qwen3-Embedd in unslothai/unsloth (2026-07-10)

💬 Commented on [Flaky test shards::local_shard::optimizer_config_update_tes](https://github.com/qdrant/qdrant) in qdrant/qdrant` (2026-07-10)

💬 Commented on bug: Output token count wrong when completion_tokens_details in langfuse/langfuse (2026-07-10)

💬 Commented on [BUG][Kernel] UC createTable sends bare data-type JSON for c in delta-io/delta (2026-07-10)

💬 Commented on SemanticSegmentationLoss returns NaN when the whole batch is in ultralytics/ultralytics (2026-07-10)

⭐ Starred nankingjing/PoseMamba (2026-07-10)

💬 Commented on prefect flow_engine failed to set status on handle_success s in PrefectHQ/prefect (2026-07-09)

💬 Commented on Expert-granularity CPU offload for quantized MoE: 30B-A3B QL in axolotl-ai-cloud/axolotl (2026-07-09)

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.

🔬 Multi-Agent LLM Financial Trading Framework.

🔬

🔬 clear topic name

🔬 Fine-Tuning and Serving Tiny LLMs (<1B Parameters) for Cost-Efficient Inference

🔬 Retrieval-Augmented Generation (RAG) at Scale in Enterprise LLM Applications

🔬 Graph RAG and Knowledge Graphs for LLMs

code snippets

📌 Real-Time Feature Store Client, Production Pattern (Python) (2026-07-10)

📌 Structured Output Validator for JSON Schema, Production Pattern (Python) (2026-07-09)

📌 Multi-Provider LLM Router with Fallback, Production Pattern (Python) (2026-07-09)

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

divider

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

connect on linkedin   follow on github

Pinned Loading

  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