The Principal Architect
Transforming Generative AI from experimental research into ISO-compliant enterprise infrastructure.
I am a Product Engineer at Tata Consultancy Services and an AWS Certified AI Practitioner. I specialize in the ‘Last Mile’ of AI—engineering custom Large Language Models (LLMs) that are secure, cost-efficient, and aligned with NIST AI Risk Management Frameworks.
Real value lies in training and fine-tuning custom architectures—Llama, Gemma, Qwen—not just wrapping APIs. I build from the model layer up, ensuring every parameter serves a business objective.
AI without safety is liability. I implement ISO/IEC 42001 standards to harden models against prompt injection and data leakage, ensuring compliance from day one.
Reducing inference latency by 30% through advanced batching and caching strategies. Production AI must be fast, reliable, and cost-effective at scale.
Technical Briefs from the Field
RegionGPT
Assessment & Support System
AI-Assisted Legal Doc Gen
Intrusion Detection System
Smart Bowling Machine
Product Engineer — Generative AI
Architecting secure LLM pipelines and leading AI Governance initiatives for enterprise-scale deployments.
AI Solutions Architect
Designed and delivered end-to-end ML lifecycles across EdTech, Healthcare, Legal Tech, and Cybersecurity verticals—building RAG pipelines, LLM-integrated platforms, and cloud-native deployments on AWS and Cloudflare for diverse client portfolios, before joining TCS full-time.
Research Fellow (SDE Intern)
Reproducible ML pipelines and Dockerized training environments for academic research infrastructure.
The Standards That Define My Practice
+ Cloud Practitioner
2026Cloud Infrastructure
2025Leadership & Strategy
GraduateCo-Creator
CertifiedProfessional Data Analytics
2024Enterprise Networking
Certified