AI Engineer at TCS Digital Labs building voice AI systems, enterprise automation, and large-scale AI orchestration platforms across government and enterprise environments.
AI models are powerful, but models alone do not solve enterprise complexity. I design AI systems built to operate within strict boundary controls, dynamic integration environments, and real-world compliance criteria.
My experience at TCS Digital Labs centers on moving models beyond simple demos into production-grade infrastructure. I construct resilient validation loops, clean programmatic parser fallback structures, and robust telemetry mappings to guarantee security and performance.
From SIP carrier configurations in dynamic voice call centers to multi-agent state machines, I establish systems that balance model autonomy with deterministic human-in-the-loop audit checkpoints.
* Curated production architectures representing real-world deliverables.
Legacy government voice channels suffered from high latency, hallucination vulnerability, and severe spikes in call volumes, causing critical operational strain.
Processes 1,000+ voice streams concurrently at sub-120ms execution speeds with zero hallucinations recorded.
Non-technical business divisions struggled to construct and run secure, stateful multi-agent pipelines, creating custom development bottlenecks.
Reduced custom LLM agent setup time from three weeks to under 12 minutes across 4 business divisions.
Supplier document onboarding relied on manual transcription of highly unstructured, inconsistent spreadsheets, yielding an 8% error rate.
Achieved 99.4% parsing accuracy while boosting daily document processing capacity by 12x.
Predicting and allocating labor schedules for 1,000+ caterers across shifting airline timetables resulted in labor imbalances and costly overages.
Automated 3-6 month forecasts and cut schedule adjustment times down to under 2 minutes.
Generating, translating, and dispersing verified corporate podcasts, blogs, and insights to 15,000+ employees required manual media cycles.
Successfully drove daily adoption rates to over 15K active employees, increasing digital interaction metrics by 88%.
Forecasting long-term hiring demands was highly reactive, relying on lagging indicators that caused severe peak-season staffing bottlenecks.
Reduced overhead costs by 14% while ensuring 100% capacity matching during high-demand logistics cycles.
How I design and implement reliable intelligence layers inside production environments.
Intelligent routing mechanisms that monitor LLM output metrics (confidence indexes, semantic drift, guardrail hits) and execute clean handoffs to manual operators before errors propagate.
Every LLM output undergoes multi-stage structural validation. Unstructured output is parsed deterministically against strict JSON/TypeScript schemas with bounded recovery loops.
Complete data lineage tracking, prompt versioning systems, and audit logging layers to guarantee compliance, security, and traceability inside corporate environments.
Engineering systems with high fault-tolerance, dynamic fallback models, distributed queue structures, and comprehensive metric telemetry mapping every node.
Designing agents that operate with stateful memory, bounded decision loops, and standard API integrations to execute real work, rather than just basic chats.
Connecting models directly to core transactional infrastructure like ServiceNow, SAP, Azure DevOps, and WhatsApp to ensure direct product-level utility.
Building systems is only half the mandate. I drive corporate education, speak on engineering best practices, and lead internal tech symposia to empower core developer divisions.
Owns end-to-end design of client-facing enterprise AI orchestrations. Formed the internal AI Delivery Community covering over 50 software engineers. Leads solutioning, pre-sales architecture, and technical pitches for AWS voice integrations, serverless document parsing pipelines, and predictive aviation workforce schedulers.
Initiated the internal AI innovation and learning center. Mentors junior engineers on dynamic prompt engineering, LangGraph architectures, and multi-model agent systems. Organized cross-division hackathons and spearheaded the flagship Decode technical symposium.
Built and scaled patient reception and support channels from scratch. Managed communication systems routing over 1,000 daily inquiries via WhatsApp Business and phone interfaces, and optimized regional SEO and campaign reach.
Contributed to front-end and back-end integration modules of a cloud healthcare communication platform.
I am always open to exploring enterprise-grade solutions architecture opportunities, workflow orchestrations, or voice systems integrations. Let's establish secure pipelines.