Anubhav Gupta
AI & Analytics | Agentic AI & Generative AI Innovator | Fraud Prevention & Governance | Building Scalable, Trustworthy AI Systems | Data & Cloud Leader
- Role
- Sr Engineering Manager - Analytics Da at Gupshup
- Location
- Gurugram, HR, IN
- LinkedIn followers
- 500 followers
About Anubhav Gupta
With over 18 years of experience in the product and services industry, I currently lead…
Experience
Sr Engineering Manager - Analytics Da
Mar 2025 — Present
Gupshup Conversational AI Cloud | Virtual Assistants & Smart Campaigns- Led cross-functional delivery (AI/ML, Data Engg, DevOps) for multi-channel assistants and campaigns; owned roadmap, OKRs, SLOs, budgets, and stakeholder governance. Established data & model governance: RBAC/IAM, PII redaction, encryption, lineage, prompt/model/dataset versioning, change-control with canary rollouts and rollback policy. Built dialogue orchestration APIs (NLP, entity resolution, fallback/guardrails) and observability (metrics, traces, structured logs) with CloudWatch/Datadog for error budgets & incident response.Key Results:+30% customer engagement;+25% campaign ROI; 99.9% service uptime within defined SLOs; governance audits passed with zero critical findings.Gupshup Conversational AI Cloud | Agentic AI Orchestration Platform- Designed and scaled an Agentic AI layer (Persona/Content/Engagement/Compliance agents) as microservices on EKS; owned hiring/mentoring, sprint governance, and cost controls. Implemented RAG + hybrid retrieval (Pinecone + reranking) with strict safety & compliance: policy filters, content moderation, prompt/response audit trails, DPIA-style reviews, and GDPR/DND controls. Instituted ML governance & evaluation: model/prompt registries, gated releases, offline/online evals (quality, drift, bias), TrueLens-backed dashboards, and SLIs/SLOs for latency & quality. Optimized inference (distilled/quantized LLMs, KV-cache, batching) and progressive delivery (Helm/ArgoCD, canary + feature flags) with auto-scale policies tied to SLO error budgets.Key Results:+40% personalization accuracy, −45% latency, −30% infra cost; continuous compliance with auditable lineage across data, prompts, and models.
Education
Kurukshetra University
Bachelor of Technology (B.Tech.), Computer Science
2003 — 2007
Texas McCombs School of Business
Postgraduate, Artificial Intelligence and Machine Learning
2020 — 2021
Bal Vikas School, Panipat
High School, Mathematics
2001 — 2003
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