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Click here or scroll down to respond to this candidate Candidate's Name
Tampa, Florida, United States
EMAIL AVAILABLE PHONE NUMBER AVAILABLE
LINKEDIN LINK AVAILABLE
Professional Summary
Results-driven Software Developer with 17 years of expertise in building and optimizing scalable web applications using
ReactJS, NodeJS, and JavaScript. Proven track record in designing and implementing asynchronous I/O solutions, with
strong hands-on experience in AWS services (EC2, S3, RDS) and infrastructure as code using Terraform and
CloudFormation. Proficient in containerization and orchestration with Docker and Kubernetes, ensuring seamless
deployment and scalability. Skilled in developing microservices, RESTful APIs, and GraphQL solutions. Adept at
integrating CI/CD pipelines, driving continuous integration and delivery with tools like GitHub Actions and Harness.
Passionate about delivering high-quality code, improving application performance, and contributing to Agile team
success..
Achievements & Publications
Certifications:
o SCJD (Sun Certified Java Developer)
Technical Skills
Frontend: HTML5, CSS, ReactJS ( Lazy Loading, Code Splitting, TanStack Queries), JavaScript (ES6+), TypeScript,
Micro Frontends
Backend: NodeJS, ExpressJS, Typescript, GraphQL, JavaScript Async I/O, REST APIs
Databases: Redis, MongoDB, PostgreSQL
Testing: Jest
DevOps & CI/CD: Docker, Kubernetes, GitHub Actions
Cloud Platforms: AWS(Cloudformation,Terraform)
Project Management & Agile: Jira, Scrum
Version Control: Git, GitHub
Frontend Optimization Techniques: Lazy Loading, Code Splitting, Minification, Compression
Build Tools: Webpack
ETL Tools : ELK ( Elasticsearch, Logstash, Kibana )
Monitoring : Datadog
Professional Experience
Paramount/Pluto TV December 2021-September 2024
Software Engineer
Project #1 : SMT (Stream Monitoring Tool)
Technologies: React, TanStack queries, TypeScript, Jest, Kubernetes, Harness
Purpose: Developed a React-based UI to visualize user viewing sessions for AdOps and Product Managers, enhancing
the debugging process for ad-related issues.
Developed and optimized a React-based application to monitor streaming data, resulting in a 25% reduction in
average bug resolution time.
Implemented unit testing using Jest and React Testing Library, achieving 95% test coverage and improving code
reliability.
Deployed the application to Kubernetes clusters using Harness, enhancing deployment efficiency by 30%.
Project #2 : Migration of Revenue Services to KVETCH Stack
Technologies: Node.js, Typescript, Docker, Kubernetes, Terraform, Vault, Harness
Purpose: Transitioned Pluto's revenue services from AWS ECS to a Kubernetes-based environment to enhance
scalability and manage secrets efficiently.
Designed and implemented Helm charts and Terraform definitions, reducing infrastructure setup time by
40%.
Collaborated with DevOps engineers to deploy 12 services in non-production environments, leading to a
20% reduction in deployment errors.
Analyzed and troubleshooted service logs using Datadog, identifying and resolving critical issues within 24
hours.
Project #3 : AdPod Service
Technologies: Node.js, TypeScript, Harness, Kubernetes
Purpose: AdPod service (created in Node Js) interacts with AdRequester to get the ADS JSON which needs to be send
to stitcher component which then finally sends it to the webplayer to play the content with the ADS
Bug Fixes.
Automated deployment pipelines using Harness, decreasing manual deployment time by 30%.
Performed rigorous unit testing to ensure 99% functionality before production release.
Project #4 : AdRequester Service (Nodejs & Typescript)
Technologies: Node.js, TypeScript, Jest, Harness
Purpose: AdRequester service is a critical piece of software in Pluto TV revenue service which interacts directly with Ad
Provider (FreeWheel)
Bug Fixes in interactions with FreeWheel.
Automated deployment pipelines using Harness, decreasing manual deployment time by 30%.
Performed rigorous unit testing to ensure 99% functionality before production release.
Resolved critical bugs in interactions with FreeWheel, resulting in a 15% improvement in ad request
reliability.
Project #5 : Vast error code service.
Technologies: Golang,Harness,Kubernetes
Purpose: Created a service to fire VAST error beacons to improve feedback between AdTech and AdOps.
Collaborated with teams for requirement clarification, reducing development time by 30%.
Creation of the design document,
Improved error-tracking accuracy by 20%, providing more reliable data to AdOps for decision-making.
Nielsen Nov 2014- October 2021
Software Engineer
Project #1 : Device Mapping Automation
Technologies: NodeJS
Purpose: Automated the manual process of mapping devices to MAC addresses in households using algorithmic
analysis.
Developed an algorithmic solution, reducing manual effort by 40% and increasing accuracy by 25%.
Led design and coding, reducing processing time by 15%
Project #2 : Implementing NIT (Nano Installation Tool) companion app on react native
Technologies: React Native, TanStack queries
Purpose: Created a companion app for Nielsen's custom hardware, allowing seamless configuration and management
through React Native
Reduced configuration time by 30% by developing the app with React Native.
Optimized performance, reducing load times by 20%.
Integrated app with backend services
Project #3 : Implementing a finder feature and hot/cold feature on custom wearable devices.
Technologies: Android, RSSI Slope
Purpose: Developed features in an Android companion app to locate custom wearable devices using a "hot/cold"
signal strength indicator.
Implemented a finder feature, enabling the wearable device to beep on command, reducing device location time
by 40%.
Developed a hot/cold feature using RSSI Slope, providing a visual signal strength indicator for more precise
device tracking.
Created design documents, clarified requirements, and tested features to ensure seamless user experience.
Project #4 : Controlling custom hardware using Alexa Skill and Nodejs
Technologies: Node.js, Alexa SDK, MQTT, AWS
Purpose: Controlled custom Nielsen hardware using voice commands through Alexa.
Designed an MQTT-based communication layer, enabling real-time control.
Enhanced user interaction, reducing response time by 25%.
Refined user commands, increasing accuracy by 15%.
Project #5 : MQCP (MQTT Communication Protocol)
Technologies: Node.js, AWS, MQTT, ELK Stack
Purpose: Replaced the HTTP layer with MQTT to process data from wearable devices.
Redesigned the communication protocol, increasing throughput by 30%.
Implemented monitoring with ELK Stack, providing real-time insights.
Deployed the solution to AWS, ensuring 100% uptime.
.
Project #6 : Norway Implementation of iCDP
Technologies: Nodejs
Purpose : Create a media codes interface with the team external to CDP. This data was then to be used within the main
CDP application
Developed and integrated media codes interface, improving data processing efficiency by 20%.
Led the design of REST APIs for data integration, resulting in a 30% reduction in manual data mapping errors.
Project #7 : iCDP deployment on Cloud
Technologies: AWS, CloudFormation, Nodejs
Purpose: Deployed the existing International CDP (Collection & Data Processing) system to AWS, transitioning from
on-premise infrastructure to a scalable cloud environment.
Created and optimized CloudFormation YAML scripts, reducing cloud setup time by 25%.
Managed the end-to-end deployment process, achieving a 20% reduction in infrastructure costs.
Tested deployment scripts for error-free execution, ensuring 100% reliability.
Conducted post-deployment testing and resolved bugs, achieving smooth production launches.
Project #8
Mobile People Meter Android Application
Technologies: Node.js, Android SDK
Purpose: Developed an Android application to manage user interactions with the Mobile People Meter, providing
configuration and monitoring capabilities.
Requirement clarification.
Developed a backend service in Node.js, reducing communication latency by 15%.
Deployed the backend services to AWS, ensuring 99.9% availability
Developed android application.
Unit testing and bug fixing.
Project #9 : ID3 Monitoring
Technologies: Node.js, AngularJS, ELK Stack (Elasticsearch, Logstash, Kibana)
Purpose: Monitored HLS streams to ensure proper ID3 and audio data tracking for client media.
Set up and optimized an ELK stack for real-time data monitoring, improving response time for alerts by 20%.
Developed an AngularJS dashboard for visualizing stream data, enhancing data accessibility for clients.
Project #10 : Logs Analysis using ELK stack
Technologies: Node.js, ELK Stack (Elasticsearch, Logstash, Kibana)
Purpose: Analyzed logs from Node.js applications to provide actionable insights and improve performance.
Developed and optimized Logstash pipelines, reducing log analysis time by 25%.
Created custom Kibana dashboards for visual analysis, allowing real-time monitoring and quick incident
resolution.
Implemented data indexing strategies in Elasticsearch, improving search performance by 20%.
Integrated the ELK stack with Node.js applications, achieving seamless data flow and enhancing debugging
capabilities.
Aricent(India) Jun 2007-Dec 2014
Software Engineer
Project #1 : ZD Remote
Technologies: iOS, Android, Java, Swift, REST APIs
Purpose: Developed a mobile solution allowing network controllers to configure WLANs and access points remotely
through an iOS and Android app.
Designed the architecture of the iOS and Android applications, improving user experience by providing a
streamlined interface.
Developed core business logic and UI components using storyboards in iOS, reducing UI development time by
20%.
Collaborated with backend engineers to integrate REST APIs, ensuring smooth data exchange between mobile
apps and network controllers.
Achieved a 30% increase in user engagement by enabling remote configuration features, eliminating the need for
bulky laptops.
Project #2 : Smart Wireless Installation and Provisioning Engine
Technologies: IOS
Purpose: Created an app to register and manage Ruckus Access Points (APs) remotely, simplifying the deployment and
maintenance of wireless networks.
Developed a user-friendly IOS app for scanning and registering APs, reducing setup time by 40%.
Implemented performance testing features, allowing users to monitor and optimize AP performance remotely.
Project #3 : CNN Money
Technologies: Android, REST APIs
Purpose: Developed the CNN Money mobile app for smartphones and tablets, providing users with real-time business
news and financial market data.
Designed the app architecture for Android, ensuring a seamless user experience across different screen sizes.
Developed and optimized the news feed, reducing data loading times by 20% for real-time market updates.
Implemented offline article viewing, increasing user engagement by 15% for users in areas with limited
connectivity.
Incorporated ad and analytics events using FreeWheel ADS and Bango Analytics, providing insights into user
behavior.
Project #4 : Test Automaton Framework
Technologies: Java, Apache POI, JUnit
Purpose: Proprietary automation framework was developed which could parse/traverse java class files and show the
abridged data in form of a csv file. This framework was developed in Java. The csv file would display all information about
a class file upto the atomic level of a variable. Methods, methods types, classes, classes type and all modifiers present on
classes, variables, methods etc were enumerated so that developers can have a difference b/w class files over 2 builds
Requirement Gathering.
Creation of High Level and Low Level document.
Coding and bug fixing
Project #5 : WAP Portal
It s a WAP portal, which the user can access on his/her mobile device and can be used to purchase/download items from
the App Store. Many more features which are being provided by the portal are Searching for items on portal, sending
recommendation of items to friends, rating items which have been already purchased/downloaded by users and checking
the items which user has already purchased under My Purchases section. A very large no of Symbian, android devices
are supported by the WAP portal. In a way it resembles OVI store present on Symbian and Android App Store.
Coding and bug fixing
Education
Guru Gobind Singh Indraprastha University
Bachelor of Technology - BTech, Information Technology
2003 - 2007
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