Prabhakar Sudha
AI Engineer | Senior Data Engineer | Cloud Infrastructure | LLMs & Agentic Automation | AWS | GCP | Databricks
- Role
- IT Analyst at Tata Consultancy Services
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Prabhakar Sudha
AI & Senior Data Engineer with 5 years of experience in cloud infrastructure services, large-scale data engineering, and AI-driven automation. Specialized in Large Language Models (LLMs), Retrieval- Augmented Generation (RAG), and agentic automation frameworks to build intelligent, enterprise-grade solutions. Proven expertise in designing and deploying scalable cloud-native applications on AWS, Azure, and GCP, integrating data pipelines, LLMs, and automation workflows. Strong background in PySpark, SQL, and Kafka for data engineering, combined with DevOps/MLOps practices (Docker, Kubernetes, Terraform, MLflow) for secure and cost-optimized deployments. Recognized for delivering AI copilots, multi-agent assistants, and cloud automation solutions that improve efficiency, reduce costs, and enable data-driven decision-making.
Experience
IT Analyst
Dec 2024 — Present · Bengaluru, IN
Architected and deployed AI-powered solutions leveraging Large Language Models (LLMs), LangChain, and RAG pipelines to automate knowledge retrieval and enhance enterprise data workflows. Designed and implemented agentic automation pipelines for job monitoring, ETL Developed an AI Copilot for Data Warehouse teams integrating multi-agent workflows, contextual summarization, feedback capture, and live agent fallback. Built secure, cost-optimized, and scalable cloud-native applications on AWS (Bedrock, Lambda, API Gateway, DynamoDB, MSK, S3, Glue, Athena). Automated Athena table creation for diverse schema text files in S3 using Glue crawlers and Python, streamlining reporting processes. Engineered PySpark and SQL Server pipelines for large-scale financial data ingestion (MT940 files), ensuring accuracy and compliance. Collaborated with cross-functional teams to implement MLOps pipelines with Docker, Kubernetes, Terraform, MLflow, cutting deployment time from days to hours. Supported multi-language AI solutions using Amazon Translate & Comprehend, enabling adoption across 5+ regions.
Education
Vignana bharathi junior college
intermediate , MPC
2014 — 2016
Prakasam Engineering college
Bachelor's degree, Electrical, Electronics and Communications Engineering
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