Rajiv Srivastava

About Rajiv Srivastava

Principal Consultant & Architect with 21+ years leading enterprise application modernization and cloud‑native SaaS platforms across banking/financial services. I architect and deliver GenAI, multi‑agent analytics with a focus on determinism, schema governance, security, and performance. Most recently, I designed a GraphRAG‑based HRMS analytics engine that converts natural HR questions into accurate, secure, deterministic Power BI DAX. Using LangGraph orchestration, Python/FastAPI, Elasticsearch 8.x (BM25+vector+rERanker), Parquet schema governance, and a tiered LLM strategy (GPT‑4o‑mini + o1 Codex), I improved query accuracy from ~50% to 95–100%, and reduced latency from ~20s to ~2s, while minimizing token cost and hallucination risk through a deterministic‑first design.Previously, I architected multi‑tenant SaaS control planes for global financial institutions—modernizing on‑prem workloads to Azure; implementing secure onboarding, tenant lifecycle, RBAC/conditional access, schema‑level data isolation, regional deployments, and BCP/DR to meet compliance, data sovereignty, and operational resilience. I also delivered agentic knowledge chatbots to accelerate onboarding and reduce support load.People Management & Executive Leadership (5+ yrs): I’ve built and scaled high‑performing engineering teams, mentoring 50+ engineers and tech leads; establishing talent pipelines, succession planning, and OKR‑based execution. I founded Centers of Excellence (COEs) and modernization accelerators with reusable IP that standardized delivery and sped innovation. Outcomes include 65% faster release lead times, 40% reduction in Sev‑1 incidents, and 22% infrastructure cost optimization. I champion engineering governance (ADR, BDD/TDD, design reviews), measurable KPIs, and observability with OpenTelemetry to ensure predictable delivery, platform resilience, and sustainable innovation.I partner with product and business leaders on solution design, PoCs, RFPs, and architecture reviews, translating intent into scalable, secure, cost‑optimized platforms—ready for Director, Head of Engineering, or CTO tracks.Founder: 1.http://cloudificationzone.com – a cloud blog portal sharing insights on API design, microservices, and cloud-native architectures.2. Speaker: GIDS 2024 @ IISc Bangalore – Enhancing AI with Edge Computing for Affordable Performance, tech blogger.

Experience

1. Principal Consultant Architect

   Microsoft

   May 2025 — Present · Bengaluru, IN

   As a Principal Consultant/Architect — Microsoft Cloud & AI1. HRMS GenAI – Deterministic DAX (Present)I architect and lead a multi‑agent HR analytics engine that turns natural HR questions into secure, deterministic Power BI DAX. I enforce schema correctness via GraphRAG Parquet (entities/edges/metadata), run parallel Fast/Smart paths with confidence gating, and apply validation‑first guardrails.Stack: LangGraph, Python/FastAPI, Elasticsearch 8.x (BM25 + vector + reranker), MiniLM, OpenTelemetry, GPT‑4o‑mini + o1‑Codex.Responsibilities: query preprocessing; hybrid intent routing; synonym mapping (user terms with DDL); template selection; tiered DAX generation (deterministic slots -> LLM‑assisted slots -> Codex review -> constrained dynamic); SQL/DAX injection & PII checks; syntax/performance guardrails; telemetry & governance.Impact: latency ~20s to ~2s; accuracy 50% to 95%; minimized tokens through deterministic first design.2. Cloud‑native SaaS Control Plane - Global Financial Institution (Past)I designed and delivered a multi‑tenant Azure control plane for secure onboarding, provisioning, lifecycle management, and modernization of on‑prem workloads.Stack: Java/Spring Boot REST, PostgreSQL, Docker/AKS, Azure Entra ID.I implemented RBAC, conditional access, schema‑level data isolation, regional deployments, and BCP/DR. I built an agentic knowledge chatbot (GPT‑4o, LangChain/LangGraph, GraphRAG, Elasticsearch) to accelerate onboarding and reduce support load.Outcomes: compliant global onboarding, tenant segregation, resilience, CI/CD hardening/SDKs, and observability with OpenTelemetry.

Education

• Bangalore University

  MCA, Computer Application

  2001 — 2004

• Indian Institute of Science (IISc)

  PG Level Advanced Certification Programme in Computational Data Science, AI/ML GenAI

• Caltech

  Postgraduate Degree (PGP) - California Institute of Technology, Cloud Computing

  2021 — 2022

Skills

• Websphere
• Jms
• Struts
• Java
• Behavior-Driven Development (Bdd)
• Software Development
• Design Patterns
• Mysql
• Jdbc
• Spring
• Firebase
• Oracle Sql
• Jsp
• Splunk
• Eclipse
• Javabeans
• Web Services
• Mapreduce
• Couchdb
• Maven
• Uml
• Jboss Application Server
• Servlets
• Core Java
• Apache
• Soa
• Xml
• Rest
• Redis
• Enterprise Architecture
• Sdlc
• Xslt
• Tortoise Svn
• Databases
• Elasticsearch
• Weblogic
• Tomcat
• Java Enterprise Architecture
• Jetty
• Springboot