Sreenivasulu Chilukala

Resourceful Solution Architect with 20+ years of experience.

Solution-focused professional with rich background in architecting,Developing and deploying innovative solutions tailored to meet specific client needs with Generative AI Technologies. Known for collaborative approach and results-driven mindset, consistently delivering high-quality outcomes. Trusted for adaptability and deep proficiency in Database Migrations,Cloud computing,AI/ML,Generative AI and enterprise architecture.

• Key role in analyzing& reviewing business, functional and high-level technical requirements for Salesforce.com and OSB project
• Excellent track record of innovative problem solving in Big data projects
• Trackunit/Nifi, Trachunit/Incus5, Sr. Data Analyst/Sr. Hadoop Developer/Architect in Spark, Python, Nifi, Opencv, Kafka, Docker, Kubernetes, 09/23/21 to Present, Build Nifi solution to ingestion data from different API’s like client, group, trip, unit, zone, category and post data in database after transformations of data. Leading the entire project right from architecture, development and deployment in production., Building data ingestion pipelines with Nifi, Kafka for different data sources like enterprise app, RDBMS, etc., Building data lake with Hadoop databases like Hive, HDFS, Redis., Prepared data extraction pipelines with Kafka and Spark stream engine from Nifi solution., Prepared complete project architecture in big data analytics and data science environment., Build multiple processor groups to deal with multiple customers with tokens., Integrated Nifi solution data with PySpark framework to do analytics., Developed most of code from scratch level to deployment.
• Smart Video AI/Tandu, NBK/Incus5, Sr. Data Analyst/Sr. Hadoop Developer/Architect in Spark, Python, Nifi, Opencv, Kafka, Docker, Kubernetes, 04/01/19 to 09/22/19, Design new architecture for existing product which is developed in Node.js, .NET, Vue.js, Angular, MySQL, etc. Rewritten entire project right from architecture to deployment in GCP Cloud with tools like Nifi, Kafka, Spark, Hadoop., This project consists of 6 use cases on artificial intelligence: Face recognition, Object comparison, VIP identification, Camera tampering, Fraud detection.
• Smart Office, USA - Lenovo, Lead Data Scientist in Spark, Python, Machine Learning, Analyze large datasets to provide strategic solution., Perform data extractions of different data types like Devices, Locations, Brightness, Volume, Battery., Predicting human attitude towards using devices like laptop and mobile., Importing and exporting data into HDFS and Hive using Sqoop., Involved in creating S3 buckets to store data from different files.
• Future – Products PF MS I, US - Lowes, Lead Data Scientist in R-Language, Spark, Scala, Python, Machine Learning, AWS, Analyze large datasets to provide strategic solution., Perform analysis on products/customer data and predict the purchase patterns., Assist in developing internal tools for data analysis., Performing Data mining, Data cleansing and summary statistics., Predicting future purchases of the person is going to spend amount or not., Trained and Tested the model to classify the products and customers using Decision Tree algorithm., Importing and exporting data into HDFS and Hive using Sqoop.

Smart Office – LCE:

• This project is to predict human attitude while working with different devices like lap top and mobile. Present task is to extract all JSON files data of different devices/volume/brightness/battery/location and build feature for machine learning algorithms to run data models like recommendation, prediction. Skill Set : AWS S3, Spark, Python, Flume, HDFS,
• CIGNA – Connecticut General Life Insurance Company is one of the largest healthcare providers in the United States, providing managed medical, dental care products, group indemnity health insurance and related services. CIGNA Healthcare(CHC) is the largest line of business within CIGNA.
• Proclaim is the sole claim processing system for CIGNA’s PPO and Indemnity products. PROCLAIM allows CIGNA Healthcare to improve customer and provider services, alleviate internal inconsistencies, and position for the e-Commerce revolution. The system includes a high degree of automation in the claim load and benefit calculation processes, resulting in high auto-adjudication rates.
• Regence plans to consolidate and migrate its Claims and Membership systems from Legacy to Client Server environment across four states Washington, Utah, Oregon and Idaho. This approach to consolidate the existing system will help Regence in maintaining a common set of applications across the four plans and will also help Regence to have a common data repository
• Order Shipping and Billing System (OSB) is a Maintenance and Development project developed by GE for processing the orders received from the customers. The objective is to reduce the turnaround time between the time of placing the order and time of supplying the finished goods.
• This Project is to develop the Voucher Processing System in Mainframes Environment, which will replace the existing paper voucher processing system. The purpose of this project is to develop a state-of-art Voucher System for usage by different customers, employees and their dependents for lunch, or at supermarkets, gas stations. The Voucher System is also to cater to award employees performance rewards.
• Consisted of mainly 3 databases such as Engine, Vehicle, Cargo. Each database consists of several modules and each module consists of on-line and Batch programs. Developed programs in Production Planning and Bill of materials

• PMP, Hyderabad, Astrowix
• Six Sigma, Hyderabad, GE
• Critical Human Skills for Project Leadership, Hyderabad, GE
• Customer management, Hyderabad, GE
• SDLC, Hyderabad, GE
• Cards Domain, Hyderabad, Kanbay
• Leadership Skills, Hyderabad, GE
• Big Data Technologies Training in Hadoop, SPARK/SCALA, R, Python, Hyderabad, GE
• GenAI Technologies, Hyderabad, GE