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M M Farhad
Verified Expert in Engineering
Full-stack Engineer and Developer
Fort Worth, TX, United States
Toptal member since July 7, 2025
Bio
M M is a full-stack engineer with 7+ years of experience building Python tools like scripts, data pipelines, and AWS integrations. He specializes in Django, including DRF APIs, PostgreSQL schemas, migrations, and OWASP security. M M uses FastAPI with async endpoints, Pydantic validation, OpenAPI docs, and pytest for microservices. Skilled in creating Angular apps, he implements features like lazy modules, RxJS state, Reactive forms, Material Tailwind styling, and unit/E2E tests for front ends.
Portfolio
GeoComm
C#, Python, Django, FastAPI, Angular, React, TypeScript...
South Dakota State University
Python, Django, React, Angular, TensorFlow, Artificial Intelligence (AI)...
Microsoft
React, Django, TypeScript
Experience
- Software - 10 years
- APIs - 8 years
- Django - 8 years
- Amazon Web Services (AWS) - 5 years
- React - 5 years
- TypeScript - 5 years
- Angular - 4 years
- FastAPI - 4 years
Preferred Environment
Windows, MacOS, Linux
The most amazing...
...thing I've developed is a safety and security application with geospatial data to provide indoor safety for educational institutes.
Work Experience
Web Developer
2022 - PRESENT
GeoComm
- Developed a safety application that serves over a hundred thousand customers.
- Designed and implemented modern, accessible UI components with MUI, HTML, and CSS, contributing to a 25% increase in user satisfaction scores.
- Built an interactive, natural‑language chatbot using Hugging Face’s DialoGPT, integrated via FastAPI, allowing field teams to query building layouts (“Where’s the nearest ADA exit?”) with 92% intent‑recognition accuracy.
- Engineered and integrated RESTful APIs using Python (FastAPI and Django), reducing response latency by 45% and improving system throughput.
- Built and maintained database schemas using PostgreSQL and DynamoDB, optimizing queries and indexes to reduce query execution time by 35%.
- Led a proof‑of‑concept for natural‑language querying of building layouts: fine‑tuned a BERT model on facility‑management dialogue, integrated it into the Angular front end, and cut manual search times by 40%.
- Designed and deployed a geospatial machine‑learning pipeline on AWS (S3, SageMaker, Lambda, API Gateway) that ingests indoor map data and predicts high‑occupancy zones to optimize public‑safety staffing levels.
- Contributed to full-stack system architecture, collaborating with stakeholders to design a robust, scalable, and maintainable platform.
- Built a TensorFlow-based convolutional neural network to automatically detect and classify interior hazards (e.g., fire extinguishers, exit signs, obstacles) from building floor‑plan imagery, achieving 92% accuracy in pilot tests.
- Managed AWS infrastructure, including EC2, S3, and RDS, to improve system reliability and reduce operational costs by 30%.
Technologies: C#, Python, Django, FastAPI, Angular, React, TypeScript, Artificial Intelligence (AI)
Imaging Engineer
2021 - 2022
South Dakota State University
- Developed and optimized full-stack web applications using Python (Django), React, and Angular, improving overall system responsiveness and achieving a 25% faster page load speed.
- Built and integrated interactive, user-focused front-end features with React, Angular, and MUI, driving a 30% increase in customer engagement and enhancing UX across platforms.
- Designed and maintained scalable RESTful APIs using Django and Go, improving back-end performance and reducing API response time by 40%.
- Implemented robust database solutions using PostgreSQL and DynamoDB, optimizing complex queries and improving data retrieval speed by 50%.
- Built a serverless geospatial inference service on AWS (Lambda, S3, Step Functions) that ingests Sentinel‑2 tiles, applies on‑the‑fly CNN inference, and writes predictions to GeoTIFF—processing 2 TB/week with under 3 sec/tile latency.
- Fine‑tuned a ResNet‑based transfer‑learning model on SAR backscatter data to predict soil moisture, reducing mean absolute error by 15% versus traditional regression methods.
- Managed and optimized cloud infrastructure using AWS (EC2, Lambda, S3, and DynamoDB) and Google Cloud SDK, reducing costs by 30% while ensuring system reliability and scalability.
- Improved application security and maintainability by managing secure remote access via SSH and enforcing best cloud and server configuration practices.
- Led performance optimization efforts across the stack, resulting in a 40% improvement in load times and a 20% decrease in bounce rates on production apps.
- Collaborated cross-functionally with product, design, and DevOps teams to ensure seamless front- and back-end systems integration, driving full-stack development from concept to deployment.
Technologies: Python, Django, React, Angular, TensorFlow, Artificial Intelligence (AI), Machine Learning
Software Development Engineer
2021 - 2021
Microsoft
- Developed and maintained scalable full-stack applications using React (TypeScript) on the front end and Python, Django, and .NET on the back end, ensuring high performance and reliability.
- Built responsive UI components in React using MUI and TailwindCSS, improving usability and cross-device accessibility across enterprise dashboards.
- Converted legacy UI patterns into modular, maintainable components, enhancing code reusability and reducing front-end bugs by 35%.
- Developed RESTful APIs with Django and .NET Web API, supporting complex business logic and improving service maintainability.
- Containerized applications using Docker and deployed them via Azure App Services, improving scalability and reducing environment-related issues in staging and production.
- Implemented CI/CD pipelines using Azure DevOps, streamlining the release process and reducing manual deployment errors by 40%.
- Integrated Azure cloud services such as Azure Blob Storage, Azure SQL Database, and Cosmos DB, enabling seamless data management and improving availability.
- Performed schema design and optimization for Azure SQL and PostgreSQL databases, reducing query latency and improving data integrity across services.
- Headed end-to-end performance audits, identifying API endpoints and UI rendering bottlenecks, leading to an overall 30% performance boost.
- Enhanced code quality and stability by introducing unit and integration tests using pytest and React Testing Library, reducing regression issues.
Technologies: React, Django, TypeScript
Geospatial Software Developer
2018 - 2021
Advanced Remote Sensing
- Developed and optimized back-end services using Python Django by building and maintaining 30+ RESTful APIs, improving system performance by 20%.
- Architected and maintained scalable applications utilizing AWS DynamoDB as the NoSQL database, reducing query execution time by 40%.
- Implemented AWS EC2 instances with autoscaling for application hosting, ensuring 99.9% uptime and high availability.
- Designed and deployed microservices using Kubernetes and Docker, reducing deployment time by 50% and improving system scalability.
- Developed and maintained front-end features using Angular, enhancing UI responsiveness and improving user experience.
- Refactored and optimized front- and back-end communication, reducing API response times by 40% through better request handling.
- Spearheaded database performance optimizations in PostgreSQL, improving query retrieval speeds by 50% and reducing system load.
- Automated CI/CD pipelines using AWS CodePipeline and GitHub Actions, accelerating deployment cycles by 35%.
- Collaborated with the product team to gather requirements, ensuring back-end solutions aligned with business needs.
- Maintained high code quality by conducting peer code reviews, enforcing best practices, and using Git for version control.
Technologies: Django, AWS NLB
Experience
Safety and Security App for Schools
Developed a safety and security system for school systems. The system utilizes detailed indoor building layouts and an advanced mobile application capable of detecting vulnerabilities swiftly to mitigate potential risks and minimize damages post-security incidents.
Education
2016 - 2018
Master's Degree in Electrical Engineering
South Dakota State University - Brookings, South Dakota, USA
2009 - 2013
Bachelor's Degree in Electrical Engineering
Khulna University of Engineering and Technology - Khulna, Bangladesh
Certifications
SEPTEMBER 2023 - PRESENT
AWS Certified Solutions Architect - Associate
AWS
JULY 2022 - PRESENT
AWS Certified Developer - Associate
AWS
APRIL 2022 - PRESENT
AWS Certified Cloud Practitioner
AWS
Skills
Libraries/APIs
React, TensorFlow
Languages
Python, TypeScript, C++, C, C#
Frameworks
Django, Angular
Platforms
Windows, MacOS, Linux, Amazon Web Services (AWS), AWS NLB
Other
Software, APIs, FastAPI, Cloud, Artificial Intelligence (AI), Machine Learning
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