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Iftekhar Rafi

Resume

Machine learning engineer building software and data systems.

My strongest work is in applied machine learning and software systems: financial software, NLP pipelines, anomaly detection, and the infrastructure needed to make model output usable.

I also bring embedded systems and product engineering experience, which keeps my approach grounded in reliability, clear interfaces, and real-world constraints.

800+

source files across Fyndel's active construction-finance platform

95%

KSA extraction accuracy on Milton

99.99%

intrusion detection accuracy on the cybersecurity project

Skills

Machine Learning & AI

PyTorchscikit-learnTensorFlow / KerasTransformers (Hugging Face)spaCyAnomaly Detection

Programming Languages

PythonC / C++TypeScript / JavaScriptSQL

Data & Analytics

PandasNumPyMatplotlib / SeabornFeature EngineeringSupabase / PostgreSQLDrizzle ORM

Web & APIs

FastAPIDjango / DRFReact / Next.jsNode.jsTanStack QueryZodQuickBooks APIAstro / Tailwind CSSRESTful APIs

Embedded & Hardware

Embedded CFreeRTOSATmega328PSPI / I2C / UARTSolidWorksRapid PrototypingTest Equipment

Platforms & Workflow

Git / GitHubDockerLinux / UnixJupyter Notebooks / ColabVS CodeJira / ConfluenceVite / Uvicorn

AI product and machine learning projects

These projects show the work I want to keep doing: ML-powered products, model behavior, data quality, evaluation, and the software around the result.

AI-Powered Construction Fintech PlatformNov 2025 - Present

Fyndel Construction Financial Intelligence Platform

Co-Founder and Product Engineer

  • Built an 800+ file strict TypeScript product surface spanning auth, dashboards, WIP reporting, entity workflows, integrations, imports, risk, and forecasting.
  • Designed RLS-backed organization isolation, role-based permissions, audit-friendly financial schemas, and workbook intelligence pipelines for customer, project, billing, cost, and accounting evidence.
  • Built predictive ML workflows for cost-to-complete forecasting, profit-fade detection, project risk scoring, revenue leakage signals, and over/under-billing analysis using time-series forecasting, anomaly detection, probabilistic simulation, and model-serving services.
Next.js 16TypeScriptSupabasePostgreSQLDrizzle ORMTanStack Query
Open project details
NLP / Applied ML PlatformMulti-month development cycle

Milton Training Needs Analysis Platform

ML Engineer and Full-Stack Developer

  • Reached 95% accuracy in KSA extraction from technical documents.
  • Reduced analysis time from weeks to minutes through automated extraction and scoring.
  • Kept individual document analysis responsive with sub-second API performance.
PythonFastAPIDockerPyTorchspaCyscikit-learn
Open project details
Aviation ML SystemExtended multi-phase development

Aircraft Health Monitoring System with Machine Learning

Machine Learning Engineer

  • Reported 95%+ anomaly detection accuracy across diverse flight conditions.
  • Designed for real-time processing across 100+ sensor channels.
  • Combined low false-positive alerting with visualization for maintenance-oriented review.
PythonDjangoDjango REST FrameworkPyTorchscikit-learnPandas
Open project details
Security ML PipelineComprehensive multi-phase project

Cybersecurity Network Intrusion Detection Using Machine Learning

Machine Learning Engineer

  • Achieved 99.99% detection accuracy with both Random Forest and DNN models.
  • Reduced manual monitoring requirements by more than 80% through automated classification.
  • Handled more than 1 million labeled network records with 80+ features.
Pythonscikit-learnKerasTensorFlowPandasNumPy
Open project details

Experience

Nov 2025 - Present / Halifax, NS / Remote

Founder and Product Engineer

Fyndel

  • Co-founded Fyndel, an AI-powered construction financial intelligence platform for WIP reporting, forecasting, workbook imports, accounting integrations, and multi-tenant financial workflows.
  • Architected and built the product with Next.js, TypeScript, Supabase/PostgreSQL, Drizzle ORM, row-level security, role-based access control, dashboards, and audit-oriented financial data models.
  • Built ML pipelines over project, cost, billing, labor, workbook, and accounting data to generate financial forecasts, profit-fade warnings, cash-flow risk signals, and executive insights.
  • Developed Python and FastAPI compute services for ML inference, Monte Carlo simulation, feature generation, model evaluation, workbook intelligence, and tenant-scoped financial insight delivery.
Next.jsTypeScriptSupabasePostgreSQLDrizzle ORMFastAPIPythonQuickBooks API

Oct 2021 - Apr 2023 / Halifax, NS

Makerspace Coordinator

Dalhousie University (Emera IdeaHub)

  • Advised students on more than 100 engineering projects, spanning mechanical, electrical, and software implementation work.
  • Managed, maintained, and trained users on 25+ pieces of advanced equipment including 3D printers, CNC mills, and laser cutters.
  • Applied workflow changes that improved lab efficiency by approximately 30%.
  • Supported faculty and external collaborators on prototyping and research-driven builds.
3D PrintingCNC MachiningLaser CuttingSolidWorksElectronics Prototyping

Academic engineering projects

Oct 2020 - Present / Halifax, NS

Core Software Developer

Dalhousie Space Systems Lab (LORIS)

  • Developing embedded C software for the satellite's onboard computer using FreeRTOS.
  • Engineered a custom file system module for satellite data storage and management.
  • Designed and implemented communication protocols (SPI, I2C, UART) for key subsystems.
  • Authored and presented bi-weekly progress reports on software development milestones.
CFreeRTOSEmbedded SystemsSatellite CommsGitJira

Jan 2022 - Apr 2022 / Halifax, NS

Electrical Team Member

Dalhousie Engineering Design II

  • Programmed an ATmega328P microcontroller in C for seawater electrical fault detection.
  • Designed internal mechanical components in SolidWorks and prototyped enclosures through 3D printing.
  • Developed and integrated an ultrasonic sensor-based module for fluid contamination detection.
  • Co-authored a comprehensive 40-page technical design report that received a grade of A.
CATmega328PMicrochip StudioSolidWorks3D PrintingSensors

Education and credentials

Sep 2020 - Jun 2026 (expected)

BEng Electrical Engineering, Computer Option

Dalhousie University

  • Completed degree requirements in fall 2025 and graduating in June 2026.
  • Relevant coursework includes data structures and algorithms, embedded systems, digital logic, signals and systems, and software development methodologies.
  • Additional credential: Diploma of Engineering (Dalhousie University).
  • Secretary for the Dalhousie IEEE Power and Energy Society, helping organize 5+ technical events.
  • Authored a 40-page technical report for the subsea pod project and delivered ongoing progress reporting for LORIS.

Diploma of Engineering

Dalhousie University

Emergency First Aid & CPR/AED Level C

Canadian Red Cross