Available for opportunities
Sazzad Hossain Adib
AI Engineer & Researcher
AI Research Engineer at Robot Bulls and Research Assistant at MILAB, North South University — building real-time conversational AI systems and publishing research on efficient AI.
01 · Experience
Where I work
Shipping AI in industry while pushing research forward in the lab.
- Mar 2026 – Present
AI Research Engineer
Robot Bulls
Researching and developing a real-time Talking Head system — a conversational AI with a live, responsive face that lets users hold natural, face-to-face voice conversations with AI.
- Researching and building a real-time Talking Head system for live, face-to-face AI conversations
- Designing low-latency streaming pipelines for natural, real-time speech-to-speech interaction
- Integrating conversational LLMs with synchronized facial animation for a responsive AI avatar
PythonReal-Time StreamingLLMsSpeech-to-TextText-to-SpeechWebRTCComputer Vision - Apr 2025 – Present
Research Assistant
MILAB, North South University
Dhaka, Bangladesh
Conducting applied AI/ML research spanning efficient LLM deployment and real-time video understanding — co-authored Z-Pruner (IEEE AICCSA 2025) and developed TimeClipAI, a real-time action localization framework.
- Co-authoring Z-Pruner, a post-training LLM pruning method published at IEEE AICCSA 2025
- Developing TimeClipAI, a real-time temporal action localization framework with state-of-the-art benchmark results
- Implementing and benchmarking deep learning models in PyTorch
PyTorchTransformersLLM PruningTemporal Action LocalizationComputer VisionHuggingFace
02 · Projects
Featured work
Production AI applications and research frameworks — from voice-driven medical assistants to real-time video understanding.
AI & LLM
FeaturedAI Doctor Assistant
Voice-powered medical consultation platform with AI-driven healthcare assistance
- LLM-based symptom analysis for natural doctor-patient conversations
- Real-time speech understanding with VAPI Voice Assistant + OpenRouter AI
- Automatic medical report generation (symptoms, prescriptions, advice, summary)
Machine Learning
FeaturedTimeClipAI: Real-Time Action Classification
Framework for online temporal action localization using Anchor Transformers
- Real-time action classification and time segmentation in videos
- Support for EGTEA, EPIC-Kitchen 100, THUMOS'14, CricShot10 datasets
- Pre-trained I3D features for efficient training/testing
AI & LLM
FeaturedDeshiPlate AI: Bangladeshi Food Recognition
AI-powered food recognition system specialized in traditional Bangladeshi cuisine with nutrition assistance
- AI-powered recognition of 33 traditional Bangladeshi dishes
- Custom-curated dataset of Bangladeshi cuisine for model training
- NextViT deep learning architecture achieving 89.76% accuracy
03 · Research
Published research
Peer-reviewed work on making large language models cheaper to deploy.
Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining
Md. Samiul Basir Bhuiyan, Md. Sazzad Hossain Adib, Mohammed Aman Bhuiyan, Muhammad Rafsan Kabir, Moshiur Farazi, Shafin Rahman, Nabeel Mohammed
This paper introduces Z-Pruner, a novel post-training pruning technique for Large Language Models that achieves significant efficiency improvements without requiring retraining. Our method addresses the computational challenges of deploying LLMs by strategically removing redundant parameters while maintaining model performance. Extensive experiments demonstrate that Z-Pruner can reduce model size and inference time substantially while preserving the quality of generated outputs.
04 · Skills
Technical toolkit
A stack that spans research prototyping and production engineering.
Languages & Frameworks
Machine Learning & AI
Data & Visualization
Database & DevOps
Tools & Productivity
Get in touch
Let's build something together
I'm open to AI engineering roles, research collaborations, and PhD opportunities — particularly around efficient LLM deployment and production AI systems.