Headline

Principal AI Architect | Generative AI, Cloud, Data Platforms | Enterprise AI Transformation

About

I bring a powerful blend of expertise across Big Data Engineering, Predictive AI/ML, and Generative AI, architecting intelligent systems that fuel enterprise-wide digital transformation, scalability, and operational excellence. I’ve led the design and implementation of GenAI PoCs using tools like Azure OpenAI, Microsoft AutoGen, LlamaIndex, and Semantic Kernel to build intelligent, context-aware enterprise applications. I’m a strategic problem solver who thrives at the intersection of technology and business outcomes—designing end-to-end solutions that turn complex challenges into scalable, future-ready systems. I have a proven record of transforming legacy platforms, unlocking data value, and accelerating AI adoption with measurable impact. 🎯 Core Strengths 🔹AI & GenAI Engineering: Built scalable generative AI solutions with LLMs on Azure and Kubernetes 🔹Data Engineering & Analytics: Engineered scalable real-time and batch data pipelines for actionable insights 🔹Cloud-Native & DevOps Delivery: Led cloud-native deployments and CI/CD on Azure and AWS with Terraform and Kubernetes. 👩‍💻I’m passionate about: 🔹Solving business-critical problems through AI, data, and automation 🔹Building secure, scalable AI ecosystems aligned with long-term business strategy 🔹Mentoring engineering teams and fostering a culture of technical excellence 🔹Staying hands-on with emerging technologies and turning ideas into value

Location

Bengaluru

AI stack

codex

github copilot

openai

AutoGen

OpenAI Agents SDK

Semantic Kernel

Work experience

Principal Engineer at Johnson Controls, May 2023 - Feb 2025 · 1 yr 10 mos, Bengaluru, Karnataka, India, Key Contributions as Principal Engineer – R&D Architecture Team 1. Led architectural R&D to optimize Spark–Snowflake integration by leveraging Snowpark to minimize data round trips between compute clusters and Snowflake, improving connection efficiency by 20% and eliminating 30% of pipeline inefficiencies; developed a reusable PoC adopted by development teams to standardize high-performance data integration patterns. 2. Drove infrastructure benchmarking and cost-performance analysis as part of the R&D architecture team, evaluating Azure environments and comparing Cloudera vs. Redpanda clusters; delivered architecture recommendations to development teams that enabled scalable, low-latency systems and improved operational efficiency. 3. Architected a seamless migration strategy to decouple Cloudera’s open-source KSQL from its core platform and re-integrate it with Redpanda. Enabled zero-downtime platform transition, improving system reliability and reducing operational overhead for development teams managing real-time data pipelines. 4. Designed, architected, and delivered a GenAI-powered PoC using Azure OpenAI (GPT-4, Codex), Microsoft AutoGen, LlamaIndex, and Semantic Kernel to build a RAG-based chat assistant; enabled real-time multi-source Q&A across Confluence, SharePoint, Jira, logs, and runbooks using vector search, re-ranking, and cosine similarity—streamlining SRE workflows and accelerating incident response. 5. Designed and implemented a GenAI-powered PoC to support Azure Kubernetes deployments using Terraform, leveraging Microsoft AutoGen and Semantic Kernel. Utilized agentic AI with multiple autonomous agents to analyze tools deployed in the cluster and generate a comprehensive go/no-go report—helping prevent service breakdowns by validating readiness and configuration integrity before production rollout.

Senior Technologist at Infosys, Oct 2021 - May 2023 · 1 yr 8 mos, 1. Led daily discussions with Product Owners to perform impact analysis for feature enhancements, translating business requirements into scalable technical designs. Ensured feature functionality aligned with business goals through thorough design validation and stakeholder collaboration. 2. Designed, developed, and deployed PaaS platform components using Spark and Scala, integrating a diverse tech stack including Kafka, AWS (S3, SageMaker), ACI, Kubernetes, Docker, Snowflake, Airflow, Deequ, Splunk, and Python to supercharge machine learning workflows. Elevated data processing capabilities, driving efficiency and accuracy in real-time analytics. 3. Conducted root cause analysis of production issues, provided actionable solutions, and mentored team members through technical guidance and code reviews. Fostered a collaborative environment by working closely with teams and customers to align deliverables with business expectations and ensure high-quality outcomes.

Technical Leader II at Legato Health Technologies, Jan 2020 - Oct 2021 · 1 yr 10 mos, Bengaluru, Karnataka, India, 1. Architected and implemented a high-performance real-time data processing engine using Spark Streaming and Scala, reducing data load time by 50% and increasing processing efficiency by 40%; streamlined ingestion to Data Lake and table publication for near real-time analytics. 2. Developed scalable data pipelines and migrated legacy systems to AWS, integrating technologies such as Kafka, MongoDB, Hive, Hadoop (Cloudera), S3, EC2, Lambda, and RDS; ensured data integrity, optimized performance, and seamless cloud integration. 3. Led CI/CD automation initiatives using Bitbucket branching strategies, Control-M, and Kubernetes for deployment orchestration; improved deployment reliability and supported production readiness with real-time monitoring and automated rollouts. 4. Provided strategic technical leadership and mentoring, collaborating closely with stakeholders and cross-functional teams to align solutions with business goals; conducted in-depth code reviews and coached junior developers to enhance team performance and delivery quality.

Senior Professional Application Designer at DXC Technology, Oct 2018 - Jan 2020 · 1 yr 4 mos, Bengaluru, Karnataka, India, DXC Technology & KPIT (HP, HPE & Contract to hire to DXC) 1. Engineered and optimized scalable data pipelines and ETL frameworks using Spark, Scala, Python, Talend, Hadoop (Hortonworks), Hive, Kafka, Sqoop, Flume, HP Vertica, SQL Server 2008, and Azure; accelerated data processing efficiency by 30% and ensured high-performance data ingestion from structured and semi-structured sources. 2. Led end-to-end solution implementation in Agile environments, collaborating with cross-functional teams and stakeholders to design, develop, and deploy data-driven applications. Ensured data accuracy and system reliability through Qlik Sense-based validation and proactive issue resolution. 3. Developed modular, reusable components and business functionalities using ASP.NET, C#, ADO.NET, JavaScript, jQuery, Shell Scripting, and Python—enhancing performance and enabling hierarchical data object retrieval across enterprise applications. 4. Managed full lifecycle of application development projects, from planning and coding to deployment and debugging. Delivered high-quality, production-ready code within tight deadlines, while improving performance through LINQ queries, WCF services, and MSBI ETL package validation. 5. Provided strong technical leadership through code reviews, hands-on mentoring, and pair programming; coached junior developers to improve competencies and drove team-wide adoption of best practices—ensuring delivery aligned with technical roadmaps and company goals.

Technical Leader at KPIT, Oct 2015 - Oct 2018 · 3 yrs 1 mo, Bengaluru Area, India, Deployed at client location HPE

Senior Software Engineer at KPIT, Aug 2013 - Sep 2015 · 2 yrs 2 mos

Education

Master of Science - MS, Machine Learning and AI, Liverpool John Moores University

Executive Post Graduate Programme in Machine Learning and Artificial Intelligence, Generative AI, International Institute of Information Technology Bangalore

Public links

github: https://github.com/sreevidyamcsr