Salman Saifi

Designed and developed scalable web applications using Python and Django. Built and maintained RESTful APIs with Flask, FastAPI, and DRF for core business workflows. Integrated external APIs and worked with MSSQL, MongoDB, and Neo4j for large-scale data management. Developed a fraud detection system leveraging Python, Kafka, Pandas, NumPy, MongoDB, Neo4j, and MSSQL, detecting anomalies across multi-year datasets. Implemented caching with Memcached, reducing API response times by 40%. Built PySpark microservices for multi-table dataset processing, scheduled via Airflow, storing results in AWS Athena. Developed a reverse image search AI application using Flask, OpenCV, DeepFace, and Qdrant Vector Database for facial recognition and similarity matching. Deployed containerized applications using Docker and AWS Fargate for scalable production environments. Applied symmetric, asymmetric, and hybrid encryption techniques to secure sensitive data.

Developed secure Flask-based REST APIs integrated with MySQL. Integrated microservices for eKYC (Digi Locker, OKYC) and CKYC in customer onboarding flows. Enhanced CRM systems for better customer data management and interaction tracking. Optimized queries and resources to improve system performance. Built a PDF generation API using Flask, wkhtmltopdf, PyPDF2, ReportLab, and MySQL for automated loan agreements. Designed data cleaning and aggregation microservices for CSV processing and storage in MySQL. Applied encryption techniques to Flask APIs for secure data exchange. Managed a CRM platform using HTML, CSS, JavaScript, jQuery, and PHP, implementing customer verification and role-based access control.