Lead AI / ML Engineer
Production-Grade
Multi-Agent AI Systems
Designing and deploying LLM orchestration frameworks, deterministic validation pipelines, and enterprise-scale intelligent systems built for reliability.
Leading multi-agent system development at Virtusa. Delivered $12M+ in analytics-driven enterprise value.
Experience
Engineering enterprise AI systems built upon a foundation of analytics, business intelligence, and operational leadership.
Lead – AI/ML Engineer
Virtusa
Architecting a multi-agent AI value creation system for enterprise-scale decision intelligence.
- Designed collaborative LLM multi-agent orchestration
- Built LangGraph-based state execution pipelines
- Implemented deterministic validation guardrails
- Engineered evaluation frameworks for reliability & cost control
Senior Associate
alliantgroup
Led analytics-driven R&D tax intelligence engagements.
- $12M+ value identified via SQL-driven analysis
- 100+ audit-ready analytical reports
- Led 15-member cross-functional team
- 45% delivery efficiency improvement
Associate Editor
GlobalData
Produced data-driven intelligence across BFSI sectors.
- 100+ analytical industry reports
- Financial & regulatory data analysis
- Editorial collaboration across UK teams
Selling Partner Support Associate
Amazon
Optimized merchant operations in high-volume environments.
- 70+ merchants supported daily
- 12% sales uplift contribution
- Root-cause process improvement initiatives
M+
Value Identified (USD)
+
Analytical Reports Delivered
+
Team Members Led
%
Efficiency Improvement
Strategic AI Partnership
Helping enterprises design, deploy, and scale intelligent systems aligned with measurable business outcomes.
AI Architecture & System Design
Enterprise-grade multi-agent systems engineered for scale, reliability, and measurable ROI.
- Multi-agent orchestration frameworks
- LangGraph execution pipelines
- Guardrails & LLM evaluation systems
- Cost and latency optimization
- Deployment & production strategy
Intelligent Automation & Decision Systems
Transform internal workflows into AI-powered decision engines.
- Internal AI copilots
- Research & knowledge agents
- Text-to-SQL intelligence systems
- Executive dashboards
- Automation pipelines
AI Roadmap & Capability Building
Strategic guidance to move from experimentation to operational AI maturity.
- AI opportunity assessment
- ROI & cost modeling
- Governance & risk frameworks
- Tool & vendor selection
- Capability build strategy
Engagement Models
Advisory & Strategy
Executive-level AI advisory, architecture reviews, and roadmap design.
Hourly or retainer-based engagement
Project-Based Systems
Fixed-scope AI system builds, automation pipelines, and LLM integrations.
Defined scope, measurable delivery milestones
Strategic AI Partnership
Long-term collaboration for continuous AI capability development.
Ongoing system evolution & business KPI alignment
AI transformation requires more than models — it requires systems, governance, and measurable business alignment.
Initiate a Strategic ConversationAI Zubin (In Development)
A voice-enabled, persona-trained AI system capable of explaining my work, architecture decisions, and AI strategies — in real-time.
Future Capabilities
- • Voice input & output (TTS/STT)
- • Persona-trained LLM
- • Multi-agent reasoning system
- • Real-time decision explanations
- • Lip-synced animated avatar
Latest Insights
Enterprise AI systems are shifting from linear pipelines to collaborative multi-agent architectures.
Let’s Build Intelligent Systems
If your organization is exploring AI transformation, automation systems, or multi-agent architectures — let’s discuss how to architect it properly.