About
Python Backend Developer with 3+ years of experience designing and deploying scalable backend systems, REST APIs, and microservices using Django, Django REST Framework (DRF), and FastAPI. Proven track record building production-grade CRM, HRMS, hospital management, e-commerce, and AI-integrated call auditing platforms. Skilled in PostgreSQL/MySQL database design, query optimization, JWT/RBAC authentication, WebSocket-based real-time communication, unit testing, debugging, Git-based version control, and AWS cloud deployment.
Skills & Expertise (37)
Work Experience
Python Backend Developer
ECPL
May 2024 - Present
Architected and deployed scalable REST APIs and backend microservices using Django and FastAPI, supporting 5+ concurrent enterprise-level applications. Designed complex relational schemas in PostgreSQL/MySQL and optimized query performance through data structure–driven indexing. Engineered RBAC and JWT authentication systems securing API endpoints across multi-role enterprise platforms, applying OOPs principles (inheritance and encapsulation) to customize DRF permission and authentication classes. Developed real-time applications using WebSocket and Daphne, enabling live data synchronization for CRM dashboards and call auditing tools. Integrated OpenAI and Gemini APIs to build AI-powered call auditing, transcription, and chatbot features for sales training platforms. Deployed production systems on AWS (EC2, S3) using Nginx, Gunicorn, and Supervisor; implemented automated process monitoring and scaling. Debugged and resolved production issues across distributed services through systematic root-cause analysis and structured logging, minimizing downtime. Collaborated with cross-functional teams (frontend, QA, product) across full SDLC from design to production deployment.
Python Developer
INFOLKS
Nov 2022 - Dec 2023
Improved machine learning model accuracy by 40% through advanced data preprocessing, cleaning, and annotation quality assurance workflows. Reduced false positives by 25% and annotation errors by 25% by designing optimized QA protocols for ML training datasets. Developed Python automation tools using Tkinter and object-oriented design, reducing manual image annotation overhead by 50% and streamlining internal workflows. Engineered an employee time-tracking application that improved workforce management accuracy by 40% and reduced reporting discrepancies. Managed AWS S3 for secure storage, retrieval, and integration of large-scale data assets across production environments. Delivered technical training sessions on software engineering, OOPs fundamentals, and backend development best practices to 100+ students.
Education
Master of Computer Applications (MCA) - Alagappa University
- 2023 · Afghanistan
Bachelor of Science – Computer Science (BSc) - Calicut University
- 2019 · Afghanistan
Certifications
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Skills (37)
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