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Hemanth Savasere

Staff Software Engineer & Generative AI SME | Technical Innovator| Java | Python | LLMs, MCP, RAG & Agentic AI | Kafka | Microservices | Distributed Systems | React

Bengaluru

8+ years of work experience

Visa
Jan 20251 yr 8 mosPresent

Bengaluru, Karnataka, India

- Serving as Kafka Subject Matter Expert (Schema Registry, REST Proxy, Connect, MirrorMaker) and a partner in architecture forums, collaborating with diverse stakeholders to translate application team needs into effective, tailored technical designs and solutions - Filed two trademarks on GenAI/LLM solutions for UI test-case generation and Graph-RAG + Database Augmented data migration - Shipped tools/libs that streamlined app onboarding to Kafka—reducing onboarding time by 25%—and improved developer experience via an MCP Kafka control-plane adopted by 45 teams, cutting ad-hoc TTA from 8 to 2 min, MTTR −67%, and privileged tickets −78% through RBAC, approvals, and immutable audits - Drove IBM MQ to Kafka migration; standardized schemas/Connect/replication and built fault-tolerant Kafka library with DLQ processing, feature toggle-based quick recovery, and Flume DB persistence during outages, cutting operational costs –48% and integration lead time by 52% - Managed vulnerability remediation workflow for PCI-DSS compliance using Checkmarx and Nexus IQ findings, coordinating fixes for 280+ security issues and reducing resolution time from 30 to 18 days while mentoring 4 engineers
Visa
May 20213 yrs 8 mosDec 2024

Hybrid

-Architected and delivered backward-compatible Avro schema evolution (BACKWARD_TRANSITIVE) for FIDO2/WebAuthn payloads via Confluent Schema Registry with active-active multi-DC schema replication and automated contract tests across multi-version clients and CTAP variants, enabling zero-downtime deploys -Shipped mixed-authenticator rollout; achieved 31% device-bound, synced passkeys, improving login UX while meeting security standards across diverse clients - Shipped FIDO2/WebAuthn passkey registration across iOS, Android, and web; scaled to 0.2M+ enrollments/day at p95 85 ms, driving 78% flow completion and 62% successful enrollments
Google
Oct 20173 yrs 6 mosMar 2021

Bengaluru, Karnataka, India

- Played a key role in code refactoring, migration, and enhancements within the Google Cloud environment, specifically for the Google G-Suite product, ensuring efficient and updated software solutions - Engineered the development of a product, scaling multiple non-core modules and designing user-friendly integration endpoints, which facilitated seamless integration into the core engine for Google Workspace - Developed and demonstrated multiple Proof of Concepts (POCs) for the Industrial Research Team, applying innovative Machine Learning and Artificial Intelligence technologies to new applications - Orchestrated the deployment of applications using Microservices architecture; integrated continuous integration/continuous deployment (CI/CD) pipelines and tools such as Docker, Maven, Git, significantly improving deployment efficiency

Hemanth’s AI Stack

claude code
claude code
claude
claude
github copilot
github copilot
opencode
opencode
perplexity
perplexity
hermesagent
hermesagent

Education

PES University

Bachelor of Engineering, Information Science

PES University

20134 yrs2017
University of Colorado Boulder

Master of Science - MS, Computer Science

University of Colorado Boulder

20232 yrs2025

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Headline

Staff Software Engineer & Generative AI SME | Technical Innovator| Java | Python | LLMs, MCP, RAG & Agentic AI | Kafka | Microservices | Distributed Systems | React

About

Staff Software Engineer with 8 years of experience, strong analytical and problem-solving skills, and a deep understanding of data structures and algorithms. Proven track record of designing, developing, and deploying complex, scalable software solutions across diverse web applications and products, emphasizing reliability, performance, and scalability. Led end-to-end processes from designing, developing, deploying, testing, and maintaining high-volume data systems, distributed cloud-native architectures, and event-driven microservices, effectively serving sectors including B2B, B2C, finance, retail, and search technologies. My role consistently involves collaborating cross-functionally, ensuring the alignment of technology solutions with business objectives with Having Strong analytical and problem-solving abilities, deep understanding of data structures and algorithms. I am passionate about leveraging cutting-edge Generative AI and Machine Learning technologies to develop impactful industrial Proof of Concepts (POCs), demonstrating innovation and driving technological advancement within organizations. In my capacity as a technical leader, I've successfully built, managed, and mentored high-performing engineering teams, cultivating a culture focused on problem-solving, continuous learning, and technological excellence. Technical Expertise: Languages: Java, Python, Go, JavaScript, , SQL Frameworks: Spring, Spring Boot, Hibernate, FastAPI, React, Redux, Spring AI, LangChain, LangGraph Architecture: MVC, Microservices, Event-driven Architecture Generative AI : MCP, Agentic AI, LLM, MCP, RAG, Graph RAG, Prompt Engineering, Harness Engineering DevOps & Tools: Docker, Kubernetes, Jenkins (CI/CD), Linux Cloud & DevOps: Extensive hands-on experience with Amazon AWS services including Lambda, Kinesis, ElastiCache, DynamoDB, Elasticsearch, S3, SQS, SNS, API Gateway, EKS, ECS, EBS, EC2; proficient with Docker and Kubernetes for containerization and orchestration

Location

Bengaluru

AI stack

claude code

claude

github copilot

opencode

perplexity

hermesagent

Work experience

Staff Software Engineer at Visa, Jan 2025 - Present · 1 yr 8 mos, Bengaluru, Karnataka, India, - Serving as Kafka Subject Matter Expert (Schema Registry, REST Proxy, Connect, MirrorMaker) and a partner in architecture forums, collaborating with diverse stakeholders to translate application team needs into effective, tailored technical designs and solutions - Filed two trademarks on GenAI/LLM solutions for UI test-case generation and Graph-RAG + Database Augmented data migration - Shipped tools/libs that streamlined app onboarding to Kafka—reducing onboarding time by 25%—and improved developer experience via an MCP Kafka control-plane adopted by 45 teams, cutting ad-hoc TTA from 8 to 2 min, MTTR −67%, and privileged tickets −78% through RBAC, approvals, and immutable audits - Drove IBM MQ to Kafka migration; standardized schemas/Connect/replication and built fault-tolerant Kafka library with DLQ processing, feature toggle-based quick recovery, and Flume DB persistence during outages, cutting operational costs –48% and integration lead time by 52% - Managed vulnerability remediation workflow for PCI-DSS compliance using Checkmarx and Nexus IQ findings, coordinating fixes for 280+ security issues and reducing resolution time from 30 to 18 days while mentoring 4 engineers

Senior Software Engineer at Visa, May 2021 - Dec 2024 · 3 yrs 8 mos, Hybrid, -Architected and delivered backward-compatible Avro schema evolution (BACKWARD_TRANSITIVE) for FIDO2/WebAuthn payloads via Confluent Schema Registry with active-active multi-DC schema replication and automated contract tests across multi-version clients and CTAP variants, enabling zero-downtime deploys -Shipped mixed-authenticator rollout; achieved 31% device-bound, synced passkeys, improving login UX while meeting security standards across diverse clients - Shipped FIDO2/WebAuthn passkey registration across iOS, Android, and web; scaled to 0.2M+ enrollments/day at p95 85 ms, driving 78% flow completion and 62% successful enrollments

Software Engineer at Google, Oct 2017 - Mar 2021 · 3 yrs 6 mos, Bengaluru, Karnataka, India, - Played a key role in code refactoring, migration, and enhancements within the Google Cloud environment, specifically for the Google G-Suite product, ensuring efficient and updated software solutions - Engineered the development of a product, scaling multiple non-core modules and designing user-friendly integration endpoints, which facilitated seamless integration into the core engine for Google Workspace - Developed and demonstrated multiple Proof of Concepts (POCs) for the Industrial Research Team, applying innovative Machine Learning and Artificial Intelligence technologies to new applications - Orchestrated the deployment of applications using Microservices architecture; integrated continuous integration/continuous deployment (CI/CD) pipelines and tools such as Docker, Maven, Git, significantly improving deployment efficiency

Education

Bachelor of Engineering, Information Science, PES University

Master of Science - MS, Computer Science, University of Colorado Boulder

Public links

github: https://github.com/hemanthsavasere