Lead Systems Architect & Head of Agentic AI at Jeeva AI
Building production-grade AI agents, LLM-powered systems, and cloud microservices that solve real-world enterprise challenges. 5+ years shipping distributed systems at scale.
Agentic AILLM PipelinesRAG SystemsAWS / GCPKubernetesPython · Go · TypeScript
I’m a Software Engineer and AI expert with 5+ years of experience specializing in agentic AI systems, LLM-powered applications, RAG pipelines, and cloud-based microservices across AWS and GCP. Currently serving as Lead Systems Architect and Head of Agentic AI at Jeeva AI in San Francisco, where I lead the design and execution of next-generation AI-driven systems.
My work sits at the intersection of AI and distributed systems - I architect autonomous agents that solve real-world financial and enterprise challenges. From designing real-time voice AI platforms with sub-second latency to shipping production ML pipelines, I care deeply about systems that are both intelligent and reliable.
Passionate about autonomous AI, multi-agent orchestration, and developer tooling. When I'm not architecting systems, I'm building side projects like Wisperly and AutoStack.
5+ years building distributed systems, cloud microservices, and AI-powered applications across the US and India.
Jeeva AIJune 2024 - Present
Lead Systems Architect
San Francisco, CA
Designed and deployed scalable backend services using Node.js, C#, and Go, integrating AI-driven components (LLMs, automation workflows) to improve system intelligence, while increasing engineering efficiency by 25%+.
Built and maintained CI/CD pipelines (AWS CodePipeline) and implemented IaC (CloudFormation, Terraform), reducing deployment time by 40% and improving release reliability across cloud environments.
Led development of cloud-native microservices on AWS & Azure, incorporating AI-powered automation and decision systems, achieving 99.9% availability and improving cross-team productivity through streamlined workflows.
Jeeva AIFeb 2023 - May 2024
AI Applications Engineer
San Francisco, CA
Spearheaded initiatives to improve system reliability through fault-tolerant designs and enhanced cloud microservices architecture.
Enhanced operational efficiency by implementing high-scale distributed systems and optimizing cloud microservices for performance.
Leveraged database architecture expertise to optimize queries and transactions for both relational (MySQL) and non-relational (MongoDB) databases.
ScriptChain Health LLC.June 2022 - August 2022
Software Engineer Intern (ML)
San Francisco, CA · Medication Recommendation & Readmission Model
Designed and developed a Graph Attention Neural Network (GNN) for medication recommendation, achieving 83% model accuracy.
Implemented Federated Learning models with the NV Flare library, ensuring secure, privacy-preserving distributed model training.
Deployed models on AWS SageMaker, optimizing training pipelines for large datasets hosted in Amazon RDS.
Path India Ltd.July 2019 - July 2021
Software Engineer (Data)
Mhow, India
Designed and deployed scalable backend systems and microservices handling 1M+ daily transactions across toll collection and smart mobility platforms, ensuring 99.9% uptime and low-latency processing.
Built and optimized data pipelines processing large-scale infrastructure and geospatial data, enabling real-time traffic analytics and improving operational decision-making efficiency by 30%.
Developed internal dashboards and automated workflows, reducing manual processes by 40% and accelerating reporting and compliance integrations with government systems.
// 03. projects
What I'm Building
Production-grade AI systems and developer tools - from real-time voice agents to autonomous software platforms.
A production-grade real-time Voice AI Agent platform enabling low-latency, bidirectional voice conversations at scale. Features a full-stack streaming pipeline handling audio ingestion, speech recognition, language reasoning, and speech synthesis with sub-second response times.
Includes a custom ASR pipeline with fine-tuned transformer-based speech models (Whisper-like), multilingual support, dynamic batching, and a multi-agent LLM orchestration layer with contextual memory and tool-calling.
An autonomous development platform that leverages agentic AI workflows to streamline the software engineering lifecycle. Built to explore how AI agents can handle complex, multi-step software tasks with minimal human intervention.
Integrates event-driven architectures with intelligent agent orchestration, enabling teams to automate repetitive development workflows and focus on higher-level problem-solving.
AI-powered, context-aware sales intelligence platform for modern GTM teams. Built agentic search that understands intent and enriches prospecting workflows autonomously - a key product shipped at Jeeva AI.
Sales IntelligenceAgentic AIRAGGoNode.js
// 04. press
In the News
Featured in publications covering agentic AI, enterprise sales technology, and autonomous intelligence systems. Recognized as a thought leader building the next frontier of AI-powered applications.
TechBullion
The Future Belongs to Agentic AI: A Candid Conversation with Anubhav Sharma, Head of Agentic AI at Jeeva AI
