// SYSTEMS ENGINEERING & AGENTIC ARCHITECTURES BoardroomIQ API: Deployed
Arihant Kumar Jain
Senior Engineer specializing in Agentic AI and Distributed Systems at Scale
Production Systems
Live AI Product
// About
About Me
I build systems where performance is the product, with API latencies measured in milliseconds, onboarding workflows compressed from weeks to minutes, and intelligent pipelines that automate complex financial operations. I specialize in designing and optimizing high-performance Multi-Agent Workflows, RAG pipelines, and aggregated database networks that synthesize multi-repository codebases, complex architectures, and distributed system logs.
My current chapter is at Morgan Stanley via Wissen Technology, where I lead the engineering of multi-level agent workflows and multi-repo knowledge aggregation systems to perform automated recon break analysis at institutional scale. By integrating heterogeneous data sources, these systems compress high-overhead operations from 2 weeks down to mere minutes.
Beyond enterprise finance, I built BoardroomIQ AI solo and end-to-end, creating a live, multi-agent strategy simulator with multi-persona boardroom arenas (CFO, Bear, Bull, Activist), deep RAG-based context parsing, and dynamic performance skill tracking. This hands-on experience in building, scaling, and reducing the complexity and overhead of multi-agent systems is what I bring to Forward Deployed Engineer roles.
Experience
7+ Years
Production Systems
Education
B.Tech CSE
SRM University
Current
Wissen Technology
Morgan Stanley
Shipped
BoardroomIQ AI
Live product
// Experience
Work Experience
JUN 2025 to PRESENT
Wissen Technology · Morgan Stanley
Senior Software Engineer
- Architected and built an Agentic Flow Accelerator Platform leveraging multi-agent orchestration, workflow automation, and context-aware decisions to automate end-to-end market onboarding (agent accounts, depositories, legal entities, trade scoping), dynamically generating PRs and Liquibase migration scripts and reducing onboarding time from 3 weeks → ~10 minutes (~99% efficiency gain)
- Developed an AI-powered Agentic Reconciliation Intelligence System utilizing multi-agent orchestration, cross-system context engineering, and retrieval-augmented analysis (aggregating logs, databases, and knowledge graphs of distributed repositories across mainframe & cloud), enabling automated break detection, root-cause analysis, and business insight generation, reducing trade reconciliation effort from weeks → minutes
- Designed and implemented a global market scoping platform to migrate from agent-account & legal-entity based rules to a market-driven architecture, significantly reducing rule explosion and simplifying onboarding across regions
- Designed highly available settlement systems across Asia markets using distributed architecture, ensuring fault tolerance, data consistency, and scalability across various financial flows processing millions of trades daily
APR 2022 to JUN 2025
TCS · Ericsson
Systems Engineer
- Redesigned degraded legacy microservices by implementing high-performance cache-aside and event-driven data ingestion, reducing p99 latency by 99% (from 12s → 40ms) while maintaining strict transactional consistency across distributed databases (MongoDB + Kafka)
- Designed high-throughput event-driven architecture using Kafka with partitioning and horizontal scaling to enable asynchronous processing
- Developed non-blocking asynchronous APIs and led migration to highly available, fault-tolerant microservices
- Implemented secure Azure AD authentication and system resilience patterns (circuit breaker, retry, bulkhead)
JAN 2019 to MAR 2022
HighRadius Technologies
Growth Path: Intern → Associate SDE → TC → Technical Consultant
- Drove automation from 20% → 80% via configurable rule-engine framework
- Built BAI2/MT940 high-volume payment file processing pipeline
- Mentored 10+ engineers, established observability framework
// Skills
Technical Skills
Architecture
AI & Agentic
Languages & Frameworks
Data & Messaging
Cloud & DevOps
Practices
// Projects
Projects
// SOLO-BUILT AI PRODUCT
BoardroomIQ AI
The AI strategy gym. It features 34 real MBA cases as live AI dialogues with Professor Mode, a multi-persona Boardroom Arena (CFO, Bear, Bull, Activist), and a Crisis Room simulator. Skill tracking is integrated across 8 dimensions, built solo end-to-end with Claude and agentic development workflows.
// DISTRIBUTED FINANCIAL INFRASTRUCTURE
Treasury Infrastructure Platform
High-throughput financial ledger and visibility system built with Spring Boot. It features distributed transactional integrity, region-aware data synchronization, automated ledger reconciliation pipelines, and secure auditing patterns to manage high-volume transaction flows safely.
// Contact
Get In Touch
Open to Principal Engineer and Forward Deployed Engineer opportunities. Reach out via email or LinkedIn.
