Bengaluru, Karnataka, India
Technical Lead | AI-Native Systems & Distributed Architectures I am a Lead Engineer with 10 years of experience specializing in the architecture, design, and delivery of high-scale software solutions. My expertise lies at the intersection of traditional enterprise stability (Java, Angular) and the next generation of intelligence (LLM Agentic Orchestration, Generative AI). Currently, as a Technical Lead at Google, I lead the development of AI-native feedback ecosystems, focusing on LLM fine-tuning and the orchestration of autonomous agents to transform raw data into actionable product insights. Throughout my career at Google, Capgemini Engineering, and Deloitte, I have bridged the gap between complex business requirements and robust engineering execution. I have a proven track record of leading cross-functional teams of up to 50 engineers across global locations to deliver high-concurrency platforms that drive market penetration. Core Technical Strength: AI & Intelligence: LLM Fine-tuning, Agentic Workflows, LangChain, and Predictive ML. Architecture: Microservices, Event-driven (Kafka), Distributed Systems, and OLAP layers. Full-Stack & Backend: Expert-level Java, Spring Boot, and Angular. Cloud & Scale: Deep experience in GCP, AWS, and Azure; Kubernetes, Terraform, and CI/CD. Domain Expertise: Financial Services, Insurance (Guidewire), and Big Data. Key Career Milestones: Performance Optimization: Designed event-driven architectures that reduced system latency by 40%. Cost Leadership: Engineered cloud-native migration strategies that achieved annual savings of over $725K. Team Leadership: Mentored 20+ senior engineers and governed delivery for large-scale, 50-person global engineering organizations. I am passionate about building "Zero-to-One" platforms and modernizing legacy ecosystems through AI-first principles and observability uplift.
Leading a cross-functional team of 20+ engineers to build and maintain enterprise web applications using Java, JS and Internal Google Tools. • Spearheading Generative AI (Gen AI) initiatives, developing AI/ML Proof of Concepts (PoCs) to automate workflows and drive data-driven insights. • Improving system reliability by integrating OpenTelemetry (OTEL) across Java services, enabling real-time monitoring and error tracking via Time Series Databases (TSDB). • Architecting data ingestion pipelines to connect distributed internal tools, reducing data latency and improving analytics for product stakeholders. • Modernizing legacy web interfaces using JavaScript, significantly improving user experience (UX) and application performance. • Conducting strict code reviews and driving quality improvement programs across the Application and Network stack to ensure 99.9% uptime.
Accelerated data retrieval speeds by 15% across core internal platforms by architecting a scalable API strategy, Feature Enhancement, and optimizing F1 queries on Google’s distributed stack. Conducting architecture and CL reviews to enforce Google Technical excellence and engineering standards. Collaborate with Product Managers and TPMs to align roadmaps, foster high-performing team environments through active mentorship and clear, empathetic expectation-setting for Google products.
In my current role, I specialize in Software Development, Project Planning and Management, Technical Oversight, and Risk Management. I track project schedules and progress, ensuring that projects are completed on time and within budget. ● Technical Oversight: I review technical designs and guide the development process. ● Cross-Functional Team Coordination: I collaborate with product managers, designers, developers, and QA engineers to align goals, resolve conflicts, and handle issues. ● Stakeholder Management: I act as the primary contact for stakeholders, gather and prioritize requirements, and provide regular project updates. ● Quality Assurance: I oversee testing plans to ensure products meet quality standards, achieving a 98% defect-free release rate and meeting 100% of project requirements. ● Performance Monitoring and Reporting: I am proficient in project management methodologies such as Agile, Scrum, and Kanban. Key Competencies: ● Software Engineering: Lead Team of Software engineer to build top of class Software product ● Risk Management: Identified and documented at least five potential risks related to project scope, schedule, or resources within the first month, and developed mitigation strategies, managing these risks effectively throughout the project's duration. ● Project Planning and Management: Developed detailed project plans with scope, timelines, resources, and milestones; managed schedules, tracked progress, and ensured projects were completed on time and within budget. This resulted in a 95% on-time completion rate and a 10% reduction in budget overruns. ● Stakeholder & Vendor Management: Communicated technical information to non-technical stakeholders and vendors effectively.
Managed delivery for migration projects , ensuring on-time deployment and achieving a 10% reduction in budget overruns. Identified risks within the first month and developed mitigation strategies, resulting in a 10% reduction in budget overruns. Facilitated Agile ceremonies and utilized Jira/Confluence for project tracking.
● Microservices and Development: Developed a microservices strategy for product development, leading to a 30% increase in system scalability. Trained 15+ developers, enhancing implementation efficiency by 25%. ● Product Analysis: Analyzed an insurance product losing $70,000 annually due to operational issues, implemented corrective measures, resulting in a 5% reduction in losses over six months. ● Strategic Project Planning and Supervision: ● Managed 5+ tech projects, organized progress reports, and managed risks, resulting in a 95% on-time delivery rate. ● Handled multiple projects simultaneously, led Agile/Scrum teams to complete 90% of sprints on time. ● Prepared and updated project schedules, set milestones, and tracked progress, resolving 90% of blockers. ● Implemented a customer feedback loop, improving customer satisfaction scores by 40%. ● Contributed to agile development and delivery of high-impact products, ensuring alignment with strategic business goals.
● Designed and implemented scalable engineering solutions using Java and Python, optimizing data platform performance. ● Developed RESTful APIs, web services, and microservices to support strategic product initiatives. ● Led the development of a payment processing feature, increasing transaction volume by 20%. ● Worked on enhancing user experience and implementing customer-centric solutions. ● Integrated AI/ML capabilities to improve operational efficiency and product quality. ● Led the development of an internal tool that improved process efficiency by 30% and reduced operational costs by 20%.