Kiran Varanasi

Data Architect & Engineering Leader with a proven track record in designing, building, and optimizing highly scalable and resilient data platforms, data lakes, and real-time data pipelines. Expertise in processing, transforming, and analyzing high-velocity, high-volume IIoT sensor data for operational intelligence and predictive analytics.

A strong advocate for leveraging advanced AI/ML models to extract actionable insights, drive process optimization (e.g., in industrial settings like copper mining), and achieve significant business outcomes. Skilled in architecting cloud-native data solutions (AWS, Azure, GCP), implementing infrastructure-as-code, and championing DevOps practices for data operations. Adept at building and leading high-performing data engineering teams, fostering a culture of continuous improvement, and delivering robust, cost-effective data solutions that empower data scientists and analysts.

• Visual Content management platform, Built a platform for visual content management from a variety of social media platform instagram, facebook and tiktok to help brands product quality content (User generated content) with creators., Automate human decision-making with GPT models, Help brands to generate quality content with generative AI at scale, Built a strong team to scale platform with low-cost cloud computation with multi-cloud architecture, Redefine the path to extract influencers/creators using Natural Language(NLP) and image search, Drive influencer marketing platform at scale to help brands improve their business, Responsible for design, develop and delivering cipio products with CI/CD, POC on managed airflow using Kubernetes and scaling up application services
• Machine learning platform, Analyzing hidden patterns inside data helps to take critical business decisions and drive business to grow using machine learning algorithms. Built a platform to automate data science pipelines at scale using Spark, and Dask distributed systems with in-house workflow engine to built workflows., Built Data Lake for external data sources (SQLServer, MYSQL, Oracle and Postgres) with pluggable connector support using Spark, Integrated Dask distributed computation engine for scaling machine learning algorithms, Built model repository which allows to track machine learning model performance and support multiple varieties of model (scikit-learn, tensorflow, keras, pytorch and spark), Involved in scaling various in-built machine learning solutions like Anomaly detection and Patient NO Show use cases, Involved in providing solutions to handle velocity, variety and veracity of data
• Slot Data Systems, Slot Data System in casino captures revenue of slot machine and helps casino employees to analyse the game performance of slots on floor. Slot Data System provides player promotions and points allows players to bind to the game on Slot machine. Slot Data System on casino floor employees provides features to authenticate employee process jackpots, tickets and electronic transfer of funds from system to slot. The product eases casino operations and auditors to audit the revenues and submit reports for taxation accurately., Improved performance of transactions in the product by 30%, Design and implementation of enhancements in accounting module, Voucher, Soft count and Hard count (where casino finance team analyzes slot performance and audit reports), Identified bottlenecks in product performance and provided solutions, Involved in integrating Alert Grid module to reporting engine, Memory growth analysis and performance testing, Involved in Unit and Integration Testing
• Single Sign On or Profit Enhancement Center, The product solves the problem of invoice dispute analysis in telecom sector billing providing B-2-B application. The product processes invoices generated from different external systems in CABS, SECABS, EDI, AEBS, OBM, MTS, and SASKTEL format (Images/PDFS/csv files). Invoices will go through Extract, Transform and load data to a database for analyzing invoice data further which goes through invoice assignment (portfolio management), Audit, Dispute identification, reconciliation, allocation and payment processes. Invoices with disputes undergoes a review by the auditor in the product which results in an AP Feed file and the file will be transmitted automatically to the Accounts Payable system for payment. Single sign-on application allows users to securely login (HTTPS) and access to all the web products of the organization. Single sign on product allows accessing all customers to access Audits & Analytics, Capture and Business Objects products from Razorsight website., Involved in Requirements and analysis and implemented OBM, MTS and SASKTEL file formats, Involved in implementation phase CABS and SECABS formats, Involved in Design & Implementation Dispute package module, migration of storage from XML to database and integration of module with Audit and Analytics product, Involved in Unit Testing and Integration Testing
• ProKosha, ProKosha is a software product that addresses all phases of a Business Process Management life cycle. The product suite helps build process management life cycle workflow to define business process model, process deployment and execution, monitor business process and maintenance. The product is built on Business process execution language (BPEL) which helps to automate business process definitions. The process execution engine is named as Providha., Involved in Providha (Business process execution engine) Module adding features like process failure handling, Designed workflow for Order Management and rediff website for order processing, Involved in Design & Implementation, Involved in Unit Testing, Involved in Integration Testing
• Order Management System & Inventory Tracking, Order Management System automates business in the servicing sector and helps to track jobs that are subjected to heavy machines/motors. Provides tracking of enquiries, orders placed, work orders (Job estimation, Job assignment, quality tests) created to accomplish a job and generates invoice based on the material consumption. Inventory tracking to analyze stock availability and deficit. Helps to analyze parts required in advance to accomplish the work orders received. Order Management System also helps integrate and manage different business units available remotely in an organization., Involved in Requirements analysis, Involved in Design & Implementation, Involved in Unit Testing, Involved in Integration Testing

• Father's Name: V.V. Ramana Murthy
• Date of Birth: 03/29/1984
• Gender: Male
• Nationality: Indian
• Marital Status: Married
• Religion: Hindu

• Leadership award for driving product ideas in quicktime and delivering results in quick time
• Award-solving complex problem cardinality in elastic search using range trees
• Award winner in State of the Union of Razorsight Private Limited for excellent performance