Wahiduzzaman Suva, applied AI engineer in Dhaka, Bangladesh

    Wahiduzzaman Suva

    Applied AI Engineer

    I build production AI systems such as agent runtimes, document intelligence pipelines, and retrieval infrastructure. Alongside engineering, I conduct research in brain-computer interfaces and quantum machine learning.

    Dhaka, Bangladesh (GMT+6) wahedshuvo36@gmail.com

    Journey

    Logo of Odin, where Wahiduzzaman Suva builds financial reporting tooling
    2025 - now

    Joined Odin, which has supported financial data processing for the US commercial real-estate market since 2013: loan origination underwriting and acquisition analysis for investment banks, REITs, and private owners. I build the tooling behind that reporting: a model plans a task, calls tools that read from and write directly into the analysts' live Excel workbooks, verifies its output against the source documents, and re-runs the fields it got wrong. Underneath sits a per-page extraction cascade (pdfplumber, Camelot lattice and stream, Tesseract OCR) covering PDF, Word, and scanned files, scored to keep the best result per page. Everything runs on client hardware, because bank documents can't leave the machine.

    Logo of Prodigy AI, the brain-computer interface research group Wahiduzzaman Suva opened with friends from AIUB
    2024

    Opened Prodigy AI with a group of friends from AIUB, a non-profit research organization exploring neuroscience and AI: brain-computer interfaces, cognitive computing, and neuroimaging analysis. Open-source projects for collaboration, private research for focused studies.

    Logo of Byteverse, the IT solutions company Wahiduzzaman Suva started in Dhaka
    2023

    Started Byteverse, an IT solutions company working across AI development, software, cloud, fintech, and data analytics. By early 2025 we had delivered 30+ projects for clients across the US, UK, Australia, and India, growing from two founders to a full team. I work on Chatsby, our customer-support AI product: the agent runtime, retrieval over Qdrant, realtime chat, and the deployment stack (FastAPI, Redis, Nginx, GitHub Actions). Along the way I did contract backend work for client products: a WhatsApp marketing agent, an outbound calling pipeline, comment and DM automation, and a course platform on AdonisJS. Also proud of aipedia.blog and sspark.

    Logo of American International University-Bangladesh, where Wahiduzzaman Suva completed his BSc in Computer Science and Engineering
    2022 - 2025

    BSc in Computer Science and Engineering at AIUB, finishing with a 3.97 CGPA. Started the MSc there in 2025.

    Logo of Saint Petersburg State University, where Wahiduzzaman Suva studied before returning to Bangladesh
    2020 - 2022

    Left for Saint Petersburg State University intending a software engineering degree; earned TORFL B1 Russian along the way, then discontinued and came home, putting the Russian to work as a Russian-Bangla interpreter at the Rooppur Nuclear Power Plant.

    Writing

    News

    • Jan 2026Paper on equivariant quantum clustering published in Physica Scripta. linkView post on LinkedIn
    • 2026VC-DATNet, a dual-attention transformer for cross-dataset inner-speech decoding, is under review.
    • 2025Started MSc in Computer Science at AIUB.
    • Nov 2025Book chapter on federated learning in healthcare published (Springer SCI vol. 1216). link
    • Oct 2025Recognized as Rising Star Performer 2025 at ODIN Outsourcing. Md Wahiduzzaman Suva receiving the Rising Star Performer 2025 award at ODIN Outsourcing in Dhaka
    • Sep 2025Chatsby, the customer-support AI product we build at Byteverse, launched. View post on LinkedIn
    • May 2025Presented our EEG transformer research at AIUB. linkWahiduzzaman Suva's team beside their EEG transformer research poster at AIUB
    • Mar 2025Quantum graph neural network paper published in IEEE Transactions on Artificial Intelligence. linkView post on LinkedIn
    • Feb 2025Joined Odin.
    • 2024Opened Prodigy AI, a non-profit research group working on brain-computer interfaces. link
    • 2024First paper published, in Metaversalize. link
    • 2024Organized the national round of TechnoXian Bangladesh, a robotics competition. Wahiduzzaman Suva with fellow organizers and robots at the TechnoXian Bangladesh 2024 national round
    • Apr 2024Presented Coder's Space, our developer dashboard, at AIUB CS Fest. linkWahiduzzaman Suva's team presenting Coder's Space at AIUB CS Fest 2024Coder's Space developer dashboard interfaceDemonstrating the project to judges at AIUB CS Fest 2024Judges reviewing submissions at AIUB CS Fest 2024Project showcase session at AIUB CS Fest 2024
    • Jun 2023Joined Byteverse.

    Projects

    Up-to-date code lives on my GitHub.

    Mobile interface of Chatsby, the AI customer support platform Wahiduzzaman Suva works on at Byteverse

    Chatsby is Byteverse's customer-support AI platform. I work on the agent layer, retrieval over Qdrant, and the realtime and deployment stack (FastAPI, Redis, Nginx). See the launch post.

    Homepage of Jasmyn AI, the WhatsApp marketing product whose outbound calling backend Wahiduzzaman Suva built

    Outbound Calling Assistant is a calling pipeline with lead scoring, live transfer to a human, voicemail detection with retry, and CRM writeback, built on the agent backend of a WhatsApp marketing product.

    Login screen of CEO Society, the course platform with a backend built by Wahiduzzaman Suva on AdonisJS

    CEO Society is a course platform whose backend I built: courses, cohorts, roles, and an in-product assistant that answers from course material.

    Channel selection screen of CommentZap, the Instagram and Messenger automation tool from Byteverse

    CommentZap automates comments and DMs on the Meta Graph and Messenger APIs: webhooks, rule-driven responses, token handling, rate-limit backoff.

    Scraper analytics dashboard of the lead acquisition engine Wahiduzzaman Suva built at Byteverse

    Acquisition Engine is Byteverse's lead acquisition engine: scraping with validation, running on Docker and Redis.

    Logos of the Financial Asset Suite micro-services Wahiduzzaman Suva builds at Odin: Cashflow AI, Rent Roll Analyst, BossPDF, Pexl, vision QC, and market analysis

    Financial Asset Suite is a suite of micro-services for financial reporting at Odin, working directly in Excel workbooks on client infrastructure: Cashflow AI (cashflow models), Rent Roll Analyst (rent roll standardization), BossPDF (document workflows), Pexl (table and field extraction from appraisals, bank statements, and utility bills with pdfplumber, Camelot, and Tesseract), a vision model for QC, and Market and Submarket analysis.

    Publications

    Md Abrar Jahin, Md. Akmol Masud, Md Wahiduzzaman Suva, M. F. Mridha, Nilanjan Dey

    Esm E Moula Chowdhury Abha, Md. Imtiaj Alam Sajin, Md Wahiduzzaman Suva, Shanjida Akter, Mushfiqur Rahman Abir, Md. Asgor Hossain Reaj, Jahir Ibna Rafiq

    Md Wahiduzzaman Suva, Md. Imtiaj Alam Sajin, Esm E Moula Chowdhury Abha, Mushfiqur Rahman Abir, Asif Zaman

    Also on Google Scholar

    Academic Projects

    VC-DATNet architecture diagram from Md Wahiduzzaman Suva's inner-speech decoding manuscript

    VC-DATNet: Inner-Speech Decoding. Variance-coupled dual-attention transformer for cross-dataset inner-speech decoding from EEG. Pairs a shared multi-scale temporal-spatial front-end with parallel mean and log-variance encoder streams of dual-attention transformer layers. Every number in the manuscript is reproducible from raw OpenNeuro data (ds003626, ds004196, ds006033).

    CB-SAFE: Post-Quantum Secure Aggregation for Federated Learning. Code-based (HQC) post-quantum secure-aggregation framework for federated learning. KEM-agnostic cluster-based secure aggregation with Bonawitz-style double masking, Shamir dropout recovery, and robust aggregation rules (trimmed mean, median, Multi-Krum) against poisoning attacks, evaluated on non-IID CIFAR-10 with 30 clients.

    Koala GPS tracklog movement visualization from Wahiduzzaman Suva's data analysis project

    Koala Tracklog Analysis. Analysis of koala movement patterns from GPS tracklog data. Preprocessed GPS tracklogs with Pandas and NumPy, visualized with Matplotlib, Seaborn, and Plotly, and applied Scikit-learn models to identify movement trends and behavioral patterns.

    Clustering plot of koala movement patterns from GPS tracklog data
    Equivariant Quantum Clustering framework pipeline from Md Wahiduzzaman Suva's Physica Scripta paper

    Equivariant Quantum Clustering (EQC). p4m equivariant 8-qubit quantum clustering framework behind the Physica Scripta paper. Reference implementation for A symmetry-aware equivariant quantum clustering approach for enhanced unsupervised learning (Physica Scripta 101(2) 026007, 2026, DOI 10.1088/1402-4896/ae2dd7). On MNIST it reaches silhouette 0.557 and 76.3% accuracy; on Quark-Gluon, 0.512 and 74.8% against 0.183 and 58.4% for K-Means.

    p4m equivariant quantum circuit from Md Wahiduzzaman Suva's Physica Scripta paperCluster assignments produced by the quantum kernel in the EQC framework
    FaceNet 128-dimensional face embedding scatter plot from Wahiduzzaman Suva's face recognition project at AIUB

    Face Recognition with FaceNet and MTCNN. Face recognition using FaceNet embeddings and MTCNN detection. Maps face images into a 128-dimensional embedding space where distances correspond to face similarity, with MTCNN for detection.

    Directed NetworkX graph of Conti ransomware email connections from Wahiduzzaman Suva's leak analysis

    Sentiment Analysis on Conti Ransomware Leaks. Sentiment analysis of the leaked Conti ransomware chats to uncover trends and emotional tone. Cleaned and structured the leaked data with Pandas, classified message sentiment with VADER, explored relationships between actors with NetworkX, and visualized findings with Matplotlib and Seaborn.

    Screens of the Mars rover control application built by Wahiduzzaman Suva for the AIUB Robotic Crew

    Space Rover Application. Control and telemetry application for the AIUB Robotics Crew Mars rover. Real-time sensor data integration and processing with onboard image analysis for rover operations.

    Rover control dashboard wireframe designed by Md Wahiduzzaman Suva for the AIUB Robotics Crew rover applicationMap view wireframe of the rover control applicationRover to ground station communication sequence diagram
    Scatter plot matrix of the UCI HCV dataset from Md Wahiduzzaman Suva's Metaversalize paper

    dataviz: Statistical Visualization in R. R workflows behind the Metaversalize paper on advanced visualization for statistical data analysis. Demonstrates the paper's methods on the UCI HCV dataset (Metaversalize 1(4), pp 225-239, 2024, DOI 10.22105/metaverse.v1i1.36).

    Correlation heatmap of HCV blood markersAlluvial plot linking sex and diagnosis category in the HCV dataset
    Entity relationship diagram of the LIFT ride sharing database schema

    LIFT Ride Sharing Database. Relational schema for a mixed-fleet ride sharing service. A single vehicle table with an owner_type discriminator covers company and driver owned fleets, and payouts settle in batches. Tested on SQLite.

    Skills

    AI & LLM
    LangChainOpenAI APIAnthropic APIPyTorchQdrantPython
    Backend
    FastAPINestJSAdonisJSExpressLaravelTypeScript
    Data & Infrastructure
    DockerLinuxNginxRedisPostgreSQLGitHub Actions
    Frontend
    ReactNext.jsViteTailwind CSS

    Activities

    BCI ResearcherProdigy AI2024 - Present

    Research group working on brain-computer interfaces. EEG decoding work: Brain-Controller and VC-DATNet.

    InterpreterTrest Rossem, Rooppur NPPJun 2021 - Feb 2022

    Facilitated effective communication with government officials and the HR department. Prepared documentation for work permits, legalization, and visas for foreign employees. Attended multi-party meetings as a Russian-Bangla interpreter.

    Wahiduzzaman Suva at the Rooppur Nuclear Power Plant construction site, where he worked as a Russian-Bangla interpreterWahiduzzaman Suva at his desk in the Rosatom Trest RosSEM office at Rooppur NPP
    Science Team, Mars Rover CrewAIUB Robotic Crew (ARC)Oct 2023 - Present

    Designed the rover's science module (2023-24) and work on soil analysis, biochemical testing, and scientific payload development for the University Rover Challenge, alongside sensor data processing in Python and OpenCV.

    3D render of the Mars rover science box module Wahiduzzaman Suva designed with the AIUB Robotic Crew for University Rover Challenge 2024
    Science box module designed as part of University Rover Challenge 2024

    Misc

    Contact

    © 2026 Wahiduzzaman Suva · wshuv-o.github.io