Akash Borana - Senior Software Engineer,

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Network Power1000+ people

Roles

🔥80%

Startup Founder

✔️40%

💰20%

Investor & VC

Geos

🇮🇳40%

India

🇧🇷20%

Brazil

🇷🇺20%

Russia

Work Background

Pivotchain SolutionsSenior Software Engineer

Jul. 2021Pune, Maharashtra, IndiaRAVEN AI - Developed and deployed an end-to-end automated system that monitors the ATMs in metropolitan cities, Devised an alert-raising mechanism that buzzes during unusual activities ( Intrusion, One Atm One Person, Loitering, Suspicious Loitering, Fighting, Robbery, Vandalism, Arson, Explosion, Sleeping, Helmet, Mask, Weapon, Animal, Skimming)and increased the safety measures in the ATMs. -Worked on a reverse proxy to help you expose a local server behind a NAT or firewall to the Internet. TCP and UDP, as well as HTTP and HTTPS protocols, where requests can be forwarded to internal services by the domain name, and we assign a subdomain to the 1000 machines for accessing through the ssh, updates, and deployments all managed by ansible script. -Create and maintain fully automated CI/CD pipelines for code deployment using Jenkins and Ansible. -Create a secure docker private registry to store docker images for continuous product development. -Used GrayLog and Prometheus to monitor pod health logs and application level logs. -Played a key role in automating the deployment on GitHub, AWS, and Jenkins. -Wrote Ansible Playbooks with Python, SSH as the Wrapper to Manage Configurations of AWS Nodes and Test Playbooks on AWS instances using Python, and run Ansible Scripts to provision development servers. -Built and managed a centralized application logging stack using Graylog. -Experience with installation and configuration of Docker environment including Docker registry hub for managing different Docker images and deployment of applications inside the software containers. -Implemented network-attached shared filesystem for application using GlusterFS.

Pivotchain SolutionsFull Stack Developer

Dec. 2019 - Jun. 2022United Arab EmiratesApron AI - Developed from the ground up and deployed an end-to-end automated system that monitors all the aircraft stand operations for one of the busiest airports in the Middle East. Devised an alert-raising mechanism that buzzes during unusual activities and increased the safety measures in the aircraft stand thereby reducing accidental events. Optimized the turnaround time for each aircraft by 5% to achieve revenue growth for the airport. -Worked on streaming protocol RTMP, RTSP, HTTP, HTTPS, and HLS. -Setting Up RTMP Relay Server To Access On-Prem Camera Feed. -Setting up HLS live streaming server using FFmpeg + Nginx on Ubuntu. -Reducing latency of live streaming through the FFmpeg for browser. -Managed Docker orchestration and Docker containerization using Kubernetes. -Used OpenStreet maps docker image to see all CCTV in offline Map. -Create Gantt Chart for Apron operations by using Fusion Charts Library. -Integrated D3 for drawing Equipment Restriction Area in canvas for events for the apron. -Used Kibana For Apron Analytics Dashboard. -Developed and deployed Rest API in Flask. -Integrated Paho MQTT to get real-time events and alerts. -Use the open-source tool Locust for stress testing to optimize the resource allocated to each Pod in Kubernetes. -Managed on-premise instances and monitored their resource utilization. -Mentored web tech team to build logistic security web applications. -Managed a two-member team to develop a website.

Pivotchain SolutionsWeb Developer

Nov. 2017 - Nov. 2019Pune Area, IndiaLocation Analytics - Admin can add multiple stores in our application to add multiple offers for users who entered a 100mt radius(you can customize radius ) specified by longitude and latitude. Any user who has installed bank mobile application and enters within the radius of any of these stores, he will receive a offer notification and he can avail that offers with bank cards on stores. Realtime Traffic Analyzer – Where the user can add a live CCTV URL or upload a traffic video to get car count, pedestrians count, trucks count, etc visualize in graph and charts formats and visual charts. The user also has an option to draw a bounding box with the mouse clicks (SVG) on one of the image frames of the video to get the counts specific to that boundary. Customer 360 - Combined alternate data sources such as SMS, mobile apps, and geo-location to build credit scorecards, customer churn prediction, and customer segmentation using data of more than 1 million customers with accuracy.

Pivotchain SolutionsIntern

Jul. 2017 - Oct. 2017Viman Nagar,PuneCredit Underwriting (Web App) – A web application where the client can input the User_transactions.csv (comma-separated values file), then our custom-built machine learning model will analyze if he is applicable for a loan or not, and depending on the user data bank will know the user defaulter score.