A decade of building, from an education company and cross-border manufacturing to the AI infrastructure being built now at Avos AI.
AI Infrastructure
Present
An operating system for trillions of AI agents, building the context, memory, encryption, and control plane that lets autonomous agents connect, coordinate, and be trusted across today's infrastructure.
avoslab.comFounder · Operations
Oct 2017 to Present
Avos LTD
Started from a single room in Bangladesh and scaled into a $100K+ business in five years, exporting to five countries: operations, manufacturing, hiring, and supply chain at speed.
Watch the manufacturing filmFounder · First venture
Founded at 17, exited 2016
Exponential Academic Care
A first company, started at seventeen, that served 500+ customers before a successful exit in 2016.
Selected engineering and machine-learning projects, from AI agents and deep learning to data pipelines and analytics. Each links to its GitHub repository and, where available, a paper or write-up.
Peer-reviewed reviews on supercapacitor electrode materials for energy storage, produced inside an applied R&D lab of seven, plus a pending machine-learning patent for industrial prediction. Every publication links to its source.
Journal of Energy Storage · 2023 · Vol. 73
SM Sultan Mahmud Rahat*, Khan Md Zubaed Hasan*, Md Mahmudul Hassan Mondol*, Abul K Mallik
A comprehensive review of carbon nanotube (CNT)-based metal oxide nanocomposites for supercapacitors, examining how incorporating different metal oxides (MXene, transition metals, double and ternary metals) improves electrochemical performance including specific capacitance, energy density, and power density. While these nanocomposites achieve high power density, they exhibit the low energy density characteristic of pseudocapacitance, so the review discusses current challenges, future prospects, and directions for upcoming research.
Energy Storage (Wiley) · 2022 · Vol. 5
Uchhwas Banik*, MD Tanvir Uddin Malik*, SM Sultan Mahmud Rahat*, Abul K Mallik
A review of ruthenium-based supercapacitors for energy storage, analyzing their types, metal/non-metal/polymer doping, and ruthenium oxides and reduced oxides. Ruthenium is widely used as a direct electroactive material or conducting agent thanks to its rapid reversible redox processes, multiple valence states, and environmental adaptability. The paper summarizes the morphologies and structures of Ru-composite studies, reviews characterization methods, and identifies performance gains from hybrid capacitors that offer higher capacitance than conventional electric double-layer and pseudo-capacitors.
Journal of Energy Storage · 2021 · Vol. 44
Mohammad Nazmus Sakib*, Saifuddin Ahmed*, SM Sultan Mahmud Rahat*, Sanzeeda Baig Shuchi
A review of recent advances in manganese-based supercapacitors (primarily MnOx and MnS), highlighting their value as cost-efficient, environmentally friendly energy-storage devices with simple fabrication. The authors analyze synthesis methods (hydrothermal, precipitation, CVD, electrodeposition), surface modifications, and doping strategies with carbon materials, polymers, and metals that enhance performance through increased active surface area and improved faradaic reactions.
Materials Today Communications · 2021 · Vol. 28
Md Tanvir Uddin Malik*, Aditya Sarker*, SM Sultan Mahmud Rahat*, Sanzeeda Baig Shuchi
A comparative review of graphene, graphene oxide (GO), and reduced graphene oxide (rGO) based supercapacitors, analyzing how metal doping, polymer incorporation, and oxide composites enhance electrochemical performance such as specific capacitance and energy density. Although supercapacitors offer higher power density than batteries, they are limited by low energy density and capacity retention, so the paper compares synthesis methods and approaches to identify the most suitable strategies for optimal performance.
Journal of Energy Storage · 2021 · Vol. 42
Humayara Naj Heme*, Md Shah Nuruddin Alif*, SM Sultan Mahmud Rahat*, Sanzeeda Baig Shuchi
A review of polyaniline (PANI) composites for high-capacity energy storage, surveying over 170 articles on PANI-based supercapacitor electrode design, synthesis, mechanisms, and applications. The authors show that doping PANI with metals, carbon nanotubes, graphene, and activated carbon addresses pure PANI's limitations (low conductivity, small surface area, poor mechanical properties), yielding high-performance supercapacitors with faster ion transport, high durability, improved retention, and high specific capacitance.
Patent (pending) · Ref. DPDT 12FEB9B1 (Bangladesh)
SM Sultan Mahmud Rahat*, Sydul Islam*, Md. Humayun Kabir Khan*, Abu Bakar Abdul Hamid
A fuzzy inference system that predicts grams per square meter (GSM), lengthwise shrinkage, and widthwise shrinkage for 12-gauge flatbed knitted sweater fabrics, replacing costly, time-consuming trial-and-error. Using input variables such as yarn count, twist per inch (TPI), and stitch length, the model provides a precise, data-driven prognostic tool for large-scale industrial textile manufacturing.
* Denotes co-first author. Titles link to the published article on the publisher's site.