Akshat Saini

Python Developer

Saptang Labs Pvt. Ltd.•  February 2024 - Present•  Chennai

Developed secure RESTful APIs with Flask and Flask-RESTful, integrating MongoDB for efficient data management and S3 bucket integration, to optimize data storage and retrieval processes. Utilized Celery for task queuing and Redis/RabbitMQ for asynchronous communication in distributed systems. Extensive experience working within cyber security environments, focusing on threat detection, prevention, and response.

Python Develper

ACL DIgital•  April 2023 - November 2023•  Gurugram

Client – Reliance Industries Limited, Gurgaon Developed and maintained backend components for web applications using Python, Flask and Django. Implemented 100+ RESTful APIs and solved many bugs, ensuring high performance and responsiveness of applications. Worked on task automation and scheduling using Apache Airflow, streamlining workflow processes. Product: Jio Web Apps (Python, Flask, PostgreSQL) Enhanced user management and customer management and implementing local & AD Authentication with JWT token for enhanced security. Implemented effective login session management for users to ensure a seamless and secure user experience. Efficiently migrated user accounts and profiles in two Flask applications with minimal disruption. Product: GCC (Python, Django, Oracle, MySQL, Airflow) Designed and implemented a virtual machine metering system and pdf report generation as attachment. Managed data migration, user migration between two applications ensuring the smooth transfer of databases while maintaining data integrity and consistency. Developed CRON jobs with varied schedule intervals using Apache Airflow Dag and enhancing monitoring capabilities by displaying logs in Airflow logs.

Software Engineer

Automaton AI Infosystem Pvt. Ltd.•  April 2020 - March 2023

Designed and implemented backend functionality for web applications using Flask, FastAPI and ensuring rapid development and deployment. Implemented Docker containers for app deployment & improving scalability and ease of maintenance. Product – ADVIT (Python, Flask, FastAPI, MongoDB) Improved the functionality for viewing marked images in the classification system. Generated counts of annotated objects, processed frames, and total frames, categorized by object, dataset and project. Implemented user subscription functionality. Project: Intrusion Detection (Flask, MongoDB) Implemented peak hour and peak day functionality for counting people captured by cameras. Login and Registration functionality added for users using JWT token & OTP Authentication. Validated cameras and user details, and implemented email functionality for users.