Akash Borana

Akash Borana Asas Twin Tower, Doha, Qatar https://smartalgorithms.in ƒ -, - #-§ github.com/Akash521 ï linkedin.com/in/akashborana Summery Senior Engineer with 7+ years of experience in developing scalable AI applications for security and logistics. Expertise in building solutions on Linux/Unix platforms across cloud and on-premise environments. Proficient in real-time video analytics, system optimization, and automation. Seeking a Lead Engineer role to drive impactful software development and innovative solutions. Technical Skills Languages: Python, JavaScript, HTML5, CSS3, ReactJS, NodeJS, Shell Scripting Frameworks & Libraries: OpenCV, YoloV5, FastAPI, Flask, D3.js, Hybrid Mobile Frameworks Audio/Video Technologies: FFmpeg, CVAT, Barco Encoder, Video Management SDKs (Milestone, Genetec, Hanwha, SSM) Streaming Protocols: RTSP, RTMP, HLS, WebRTC Containerization & Orchestration: Docker, Docker Registry, Kubernetes (K8s), GlusterFS DevOps & CI/CD: Jenkins, Ansible, Terraform, Apache2, Nginx Cloud Platforms: AWS (EC2, S3, VPC, CloudWatch), Azure, Google Could Platform Databases: MongoDB, MySQL Version Control Tools: GitHub, GitLab Messaging & Streaming: RabbitMQ, Kafka, MQTT. Authentication & Security: JWT-based Auth, TLS 1.2/1.3, VPN-based Access Control Monitoring & Logging: Graylog, Prometheus, Elasticsearch, Logstash, Kibana Testing & Load Simulation: Locust(Load Testing), PyTest (Unit Testing), Postman (API Testing), Manual Testing, CI-based Test Automation (Jenkins) Visualization & Mapping: OpenStreetMap, Kibana, SVG-based Graphing Other Tools: JIRA, Trello, Reverse Proxy Architectures, SSH Automation, Machine Learning Model Deployment Experience Senior Software Engineer - S4-Salam Technology, (Doha - Qatar) Aug 2023 – Present Achieved real-time video feed analysis through a Media Gateway and Analytics Platform with the Ministry of Interior, QATAR, improving security response times by 20% • Architected a real-time media processing solution , reducing latency by 30% , improving video stream analysis and enhancing security operations • Worked closely with Barzan Holding, QATAR to reduce latency in post-analytics processing of real-time video streams, improving the accuracy of analytics alerts. • Coordinated with teams to define milestones and deliver security solutions on time, achieving successful deployments and increased client satisfaction. • Developed and maintained monitoring and logging frameworks using Grafana and Prometheus, achieving 99.9% system uptime • Spearheaded DevOps automation efforts, reducing deployment times by 50% through CI/CD pipelines and infrastructure automation Senior Software Engineer - Pivotchain Solution - (Dubai - UAE, Pune - INDIA) July 2017 – Aug 2023 • • • • • • Managed software development for the Dubai Aviation Engineering Project (DAEP), DUBAI and led the design and deployment of Apron AI , optimizing aircraft stand operations and reducing turnaround times by 5% Led end-to-end development of Raven AI , an AI-powered security solution that reduced ATM incident response times by 50% across a network of over 1000 ATMs Collaborated with cross-functional teams to deliver scalable, secure software systems, integrating analytics Delivered highly reliable security systems with 99.9% uptime , ensuring continuous, uninterrupted monitoring of national security assets Deliver pre- and post-sales support by understanding customer requirements, providing development updates, and gathering feedback to identify opportunities for feature enhancements. Projects Quest Media Gateway - Real-Time Video Streaming & Analytics Platform Designed and developed an on-premise, real-time video streaming and analytics solution for enterprise-level surveillance. The system integrates with multiple Video Management Systems (Milestone, Genetec, Hanwha, Dahua) via their SDKs to retrieve live video feeds. These feeds are processed and transcoded into RTSP streams using containerized FFMPEG services. Data is published through Mosquitto (MQTT) for scalable media distribution. A microservices-based API layer manages communication between modules, enabling real-time analytics such as intrusion detection, loitering, and identifying Persons of Interest. The architecture supports centralized logging and monitoring, ensuring secure and efficient video data handling in on-premise environments. Technologies used:. Python, Kubernetes (K8s), Docker, RTSP, HLS, WEBRTC, FFMPEG, MQTT (Mosquitto), RESTful APIs, VMS SDKs (Milestone, Genetec, Hanwha, Dahua), Graylog, Prometheus, MongoDB, MySQL, Redis, Centralized Logging, Real-time Video Analytics. QUEST Share - Secure Cloud-Based Video Sharing Platform Developed and deployed QUEST Share, a cloud-based platform designed to securely share live and recorded video streams from sensitive environments such as control rooms. The platform enables authorized users to access video content remotely via modern web browsers—without requiring any additional plugins or software. It incorporates robust security protocols including username/password authentication, TLS 1.2/1.3 encryption, and optional end-to-end stream protection via a dedicated VPN. This ensures secure distribution of critical video data, extending situational awareness beyond physical control centers. QUEST Share supports flexible access management and time-bound sharing, allowing operators to grant temporary viewing rights to designated recipients—anytime, anywhere. Technologies used:. Python, Docker, RTSP, HLS, WEBRTC, FFMPEG, MQTT (Mosquitto), RESTful APIs, MongoDB, MySQL, Raven AI – ATM Surveillance and Alerting System Designed and deployed an intelligent, fully automated surveillance system aimed at enhancing security across a network of ATMs in metropolitan areas. The solution continuously monitors real-time video feeds to detect a wide range of unusual activities such as intrusion, loitering, single-person occupancy, suspicious behavior, robbery, vandalism, arson, and the presence of unauthorized objects or individuals. A highly responsive alerting mechanism was implemented to ensure immediate notification to relevant security personnel, enabling swift intervention. The platform played a crucial role in strengthening safety protocols and reducing incident response times, offering a scalable and adaptable solution for urban security environments. Implemented cloud-native solutions using Docker and Kubernetes, which enabled the system to handle a significant increase in data points (over 50,000 per day) with high availability and zero downtime. This project resulted in a 30% increase in operational efficiency and reduced fuel wastage by 20% by optimizing delivery routes and reducing unauthorized stops. Technologies used: Python, NodeJS, FFmpeg, Docker, Jenkins, Kubernetes Orchestration, Fast Reverse Proxy Apron AI – Aircraft Stand Monitoring System Spearheaded the design and implementation of an intelligent video analytics system to automate monitoring of aircraft stand operations at a major Middle Eastern airport. The platform identifies and flags abnormal or unauthorized activities in real time, improving situational awareness and improving ground safety. A dynamic alert mechanism was built to immediately inform relevant stakeholders, enabling rapid response and adherence to safety protocols. The solution contributed to a measurable 5% improvement in aircraft turnaround times, driving higher operational efficiency and increased revenue for the airport. The system was designed for high scalability, performance under heavy loads, and seamless integration with existing airport operations workflows. Technologies used: HTML5, CSS3, JQuery, Python, ReactJS, FFmpeg, Jenkins, Yolov5, Custom AI Model, GlusterFS, Kubernetes Orchestration, Locust Education Symbiosis International University Master of Science in Computer Application Jai Narayan Vyas University Bachelor of Computer Applications July 2015 – May 2017 Pune, Maharashtra, (INDIA) July 2012 – May 2015 Jodhpur, Rajasthan- (INDIA)