Hi, this is S.M. Sakeef Sani

I am

Published Researcher • Award Winner • Startup Founder • Industry Professional • Creative Storyteller
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Research: Pioneering AI for Accessible Healthcare

Leveraging machine learning to democratize medical diagnostics in underserved regions. Focused on efficient, bias-aware AI for tropical diseases and skin lesions — building scalable tools from limited data to empower clinicians worldwide.

ML Healthcare Tropical Diseases

Efficient Antihallucinogenic AI for Tropical Medicine: A Probabilistic Framework for Differential Diagnosis

AAAI 2025 — Led development of mLabLLM (LLaMA 3.2 fine-tuned) for differential diagnosis (Dengue, Malaria, Chikungunya). Integrated Bayesian reasoning + LoRA + pruning to reach 82.8% Top-3 accuracy for low-cost clinical support.

AAAI 2025 LLM Bayesian

A Web-Based Mpox Skin Lesion Detection System Using State-of-the-Art Deep Learning Models Considering Racial Diversity

ScienceDirect 2025 — Built MSLD v2.0 dataset with diverse skin tones and benchmarked models (ResNet50 + transfer learning). Prototype web app for inclusive rapid screening.

Dataset Deep Learning Fairness

Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study

arXiv 2022 — Curated the initial MSLD dataset; evaluated pre-trained models (ResNet50), reaching ~82.96% accuracy distinguishing mpox from similar diseases.

arXiv Dataset

BUET Multi-Disease Heart Sound Dataset: A Comprehensive Auscultation Dataset

arXiv 2024 — Co-developed BMD-HS with 864 multi-label heart sound recordings for complex valvular disease detection, bridging auscultation and AI diagnostics.

Dataset Auscultation

Awards & Achievements

Recognition for disruptive innovation — global competitions & fellowships that highlight collaborative excellence and real-world impact in healthcare and engineering.

Awards Global

Johns Hopkins Healthcare Design Competition – Global Health Track (2024) — 2nd Place

Team FetoSynth (BUET) — Real-time acoustic fetal heart localization & monitoring system to improve prenatal care in low-resource settings.

Design Global Health

Johns Hopkins Healthcare Design Competition – Digital Health Track (2024) — 2nd Place

Team DengueDrops (BUET) — Smart IV fluid calculator for dengue patients to optimize fluid therapy and hospital management.

Digital Health Clinical

University Innovation Hub Programme (UIHP) — Winner

UIHP-funded agro-drone project (PakhiDrone BD) — precision farming & pesticide spraying adapted for Bangladesh's rural terrain; incubated into early-stage startup.

UIHP AgriTech

Professional Experience

From industry distribution strategy to lab research and founding startups — practical execution and operational impact across domains.

Industry Research Startup

British American Tobacco — Territory Officer (2025 - Present)

Managing a 420mn BDT annual distribution; developed satellite & geo-data model for rural 'Char' areas and built an automated shipment app for route-to-market efficiency.

BAT Logistics

mHealth Lab, BUET — Research Assistant

Built real-time data collector with Raspberry Pi attachments, contributed to medical LLM for differential diagnosis, and created 3D landmarks from sparse 2D video for low-compute imaging improvements.

mHealth Research

PakhiDrone BD — Founder & CMLO

UIHP-funded startup building agro-drones for precision farming and pesticide spraying, optimized for Bangladesh's rural terrain and smallholder needs.

Founder AgriTech

Animation & Filmmaking

Combining technical precision with creative storytelling — award-winning short films, VFX, and NFT work through a dedicated studio.

Animation VFX

Enigmatter Studio — Founder, Animator & Lead VFX

Founded studio for 3D animation, NFTs and VFX; produced award-winning short films and immersive visual narratives that blend engineering precision with artistic expression.

Studio VFX