Jaya Sriram Ganeshna
Product Engineer @Vassutech
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WORK HISTORY
Product Engineer @Vassutech
Markham, ON, CA
Vassure AI (AI-Native Enterprise Automation)• Architected an autonomous Multi-Agent System using the ReAct pattern and Model Context Protocol (MCP), enabling agents to execute complex planning sequences with 35% higher success rates than zero-shot prompting.• Engineered production-grade RAG pipelines with semantic chunking and hybrid search (keyword + vector), reducing hallucination rates by 60% and achieving sub-500ms retrieval latency for enterprise queries.• Led end-to-end engineering of the platform to automate 5 distinct enterprise workflows, reducing client manual processing time by 85%.Core Product Engineering & Distributed Systems• Titlegenius Expansion: Scaled platform to support launches across 24+ U.S. states, handling $50M in annualized transaction volume while maintaining 99.9% uptime.• DocVenture Architecture: Directed full lifecycle development of the document management system; designed an architecture capable of processing 100k+ documents per month with low-latency access.• Critical Migration: Orchestrated a high-risk migration of ledger data from R3 Corda to a Kubernetes/PostgreSQL stack, slashing query latency by ~90%(from 2.5s to <200ms) and reducing cloud costs by 40%.• Leadership: Mentored 3 junior engineers and implemented CI/CD coding standards that reduced code review cycle time by 50% and cut production bugs by 25%.
EDUCATION
GITAM Deemed University
Bachelor of Technology - BTech, Computer Science Engineering
Sri Chaitanya Junior College, Hydernagar
INTERMEDIATE, MPC
University of Waterloo
Masters of Engineering, Specialization in Software
Geetanjali Olympiad High School
High School(8-10), SSC
ABOUT JAYA SRIRAM GANESHNA
With 4+ years of product engineering experience, I build end-to-end systems—from UI pixel to database query, and now to the LLM inference layer. I specialize in shipping scalable full stack applications and architecting AI-native platforms that bridge the gap between stable, production-grade web systems and emerging agentic intelligence.My foundation is robust, high-traffic web architectures in regulated industries. I have delivered production-ready solutions with Next.js, Node.js, and GraphQL, including scaling the Titlegenius platform to support launches across 24+ U.S. states. I thrive on complex backend problems: for example, I led a high‑stakes migration of business‑critical data from an R3 Corda blockchain to a modern Node.js + PostgreSQL stack, optimizing query performance and preserving data integrity. Whether leading end‑to‑end development for DocVenture or tuning microservices on Azure, my focus is maintainable, performant, and user‑centric code.Currently, I am applying this engineering rigor to architect Vassure AI, moving beyond simple API wrappers toward true agentic systems. I design multi‑agent workflows (ReAct/MCP) that can plan and execute tasks autonomously, and build advanced RAG pipelines using vector databases for semantic retrieval and graph databases for relational context—aimed at high accuracy and low hallucination in enterprise environments.I am actively seeking roles where this hybrid experience is valuable—either as a Senior Full Stack Engineer building scalable products, or as an AI Engineer pushing the boundaries of autonomous systems and intelligent tooling.Technical toolkit Full Stack & Web: Next.js, React.js, Node.js, GraphQL, TypeScript, JavaScript, Material UI. Backend & Data: PostgreSQL, MongoDB (aggregations), Redis, Microservices, System Design 🤖 AI & ML: Agentic workflows (ReAct, MCP), RAG, Vector DBs (Qdrant), Graph DBs (Neo4j), LLMs Cloud & DevOps: Azure, Kubernetes, Docker, CI/CDLet’s build something scalable. Portfolio: https://jaya-sriram-ganeshna-portfolio.vercel.app/ GitHub: https://github.com/Jai2899
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