Chilukala Sreenivas

• Currently working on the development of FastTrade99, a technology platform designed to support systematic and disciplined trading using automated strategy execution and portfolio management frameworks. • AI-powered technical hiring automation platform for enterprises and staffing firms • B2C job matchmaking engine with intelligent resume-JD mapping and self-interviewing • Generative AI-driven lead generation product for social media & influencer-based campaigns With over a decade of hands-on experience AI technology development, I blend deep domain expertise with cutting-edge Generative AI frameworks like LLMs, LangChain, RAG, and custom GPT/Gemini pipelines, Agentic AI

Involved in building GenAI Use Case, GenAI Solution, RFP, RFQ's for multiple clients like Verizon, Uniliver, Nestle, Disney, UsNews, Omiya, Ford, Calix, Common Spirit, Dollar General, Natwest, PapaJones, Deutch Bank, Likewise. Very strong experience in Google Cloud Platform(BigQuery,Cloud functionas, run, GKE,DataProc, BigLake, Bigtable, Composer, Airflow, Generative AI technology with Life Sciences, HR, Fintech, Health Care. Ability to architect & build any solution till deployment.

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 pipe lines with Nifi, kafka. Worked in Google Cloud platform to build and migrate from on-premise to Google Cloud

Building data lake with hadoop databases like hive,hdfs,redis Prepared data extraction pipe lines with Kafka and Spark stream engine from nifi solution. Prepared complete project architecture in bigdata analytics and data science environment. Integrated nifi solution data with PySpark frame work to do analytics. Building data lake with hadoop databases like hive,hdfs,cassandra,mongodb Built data ingestion and extraction with opencv ,kafka and spark for video streams Prepared complete project architecture in bigdata analytics and data science environment.

Build POC on BigData Analytics with Hadoop,Spark,Scala,Python Implemented automated data pipelines, improving the efficiency of data collection and processing.

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.

Resourceful in conducting training programs based on Big Data; creating presentations & trainings on big-data project and optimizing technical knowledge and operational efficiencies of the organization Recognized for collaborating with key stakeholders to identify learning needs, conduct needs assessments, produce actionable strategic plans, develop customized learning solutions (IT) and facilitate training presentations Profound working knowledge on latest concepts related to Big Data Technologies: Hadoop – Modules, HDFS - Hadoop Distributed File System, PIG, HIVE, HBASE, SQOOP, OOZIEE, FLUME, Kafka, Spark and Scala, R –Language Confident in managing customer centric operations & ensured customer satisfaction by achieving delivery & service quality norms Expertise in preparing POC for Big data projects Working for startup companies in building Big data skills like Spark/Scala, Hadoop, R, Python, Machine Learning Key Result Areas: · Spearheading application development, system maintenance, providing production support (Online and Batch) · Leading a team ranging with 3 to 40 members · Successfully completed 10 POC's on Hadoop, Spark/Scala · Successfully managing 10 people Big data team

Facilitated project planning and scheduling, high level estimation, resource planning, project level scheduling & tracking, change management Coordinated with support groups, created and communicated Metrics Reporting, Metrics Analysis and so on Imparted Process Training, Mentoring of entry level programmers Improved end-user satisfaction through consistent delivery of high-quality technical support and training.

Planned and scheduled project, high level estimation, resource planning, project level scheduling & tracking. Change management, and coordination with support groups, process training, metrics reporting, metrics analysis

Analyzed, gathered requirements, designed (HLD, LLD), coded and tested Production support : Online and Batch process, Maintenance Online- Receiving abend calls and Tickets from all the problems via Clarify Software from End Users or Customers(Internal and External) and finding out the route cause then rectifying the problem Monitored the Jobs in CA7-Scheduler and receives call from Production Monitor when job abends, then identify and resolving the problem then restarting from abend step and necessary precautions have been taken care while restarting the job Wrote socket programming to interface with the web applications Client meetings (usually call conferencing), reviewed tasks developed by team members Technical discussions with the Onsite COE Leader (Center of Excellence)