Founder-led · AWS · Azure · GCP

Modernize the cloud you have.
Know your data. Ship AI with purpose.
Secure by design, without risk.

TalentPros Hub is a boutique consultancy that plans, migrates, and operates enterprise-grade cloud, data, and GenAI platforms — paired with cybersecurity and compliance guardrails so transformation doesn't break what you've built.

20+ yrs
Global IT leadership
$100M+
Programs led by founders
5
Regulated industries
01 — Services

End-to-end capability, delivered as one team.

Five integrated practices that cover the lifecycle of cloud and AI transformation — from strategy through steady-state operations.

Cloud Modernization

Discovery, landing zones, migration factories, and infrastructure engineering on AWS, Azure, and GCP.

  • Cloud strategy & advisory
  • App & database migration (RDS, Snowball)
  • IaC, DevOps, SRE foundations
  • FinOps & cost optimization

Data & AI Engineering

Production-grade data platforms and AI/ML systems — from lakehouse to RAG-powered knowledge applications.

  • Lakehouse on Snowflake / Databricks
  • GenAI, RAG & LLMOps pipelines
  • MLOps, feature stores, governance
  • BI & AI-powered insight delivery

Cybersecurity & Compliance

Risk reduction baked into every cloud and AI engagement — not bolted on at the end.

  • Security architecture review
  • Compliance validation: SOC 2, HIPAA, PCI
  • DevSecOps & cloud posture management
  • Risk mitigation playbooks

Managed Services & Global PODs

Scalable POD-based delivery — owned outcomes, predictable economics, and 24/7 coverage.

  • Cloud & data managed operations
  • Subcontracted global delivery PODs
  • SRE, observability & on-call
  • Continuous optimization & FinOps

Training & Enablement

Equip your teams to own what we build — cloud, data, AI, and security fluency that lasts.

  • Role-based curricula (eng, ops, security)
  • Hands-on labs & workshops
  • AWS / Azure / GCP certification prep
  • Internal champion programs

AI-Ready Data Ecosystems

A single source of truth that's safe for AI — governed lakehouse, curated data products, and Agentic RAG with guardrails.

  • Lakehouse: Snowflake, Databricks, Delta
  • dbt & Airflow · Bronze / Silver / Gold
  • Vector pipelines & multimodal readiness
  • Agentic RAG, LangChain, guardrails
02 — AI Ecosystem

AI-Ready Data Ecosystem & Agentic RAG.

A single source of truth feeding governed analytics, multimodal AI, and production Agentic RAG — with the guardrails, anomaly detection, and lineage that make enterprise AI deployable.

Sources
DBOperational databases
SaaSSaaS applications
StreamStreaming events
FilesFiles & logs
Ingest
Batch ingestion
Fivetran · ADF · Glue
Streaming ingestion
Kafka · Kinesis · Event Hub
Lakehouse
S3 / ADLSCloud Data Lake
DatabricksSpark & Delta Lake
SnowflakeGoverned Analytics
dbt / AirflowTransform & Orchestrate
Bronze · raw Silver · cleansed Gold · business data products
Governance & Security
RBACEncryptionAudit & lineageHIPAA / GDPR / PCIData contractsAnomaly detection
AI / RAG
EmbeddingsVector pipelines & multimodal
Vector DBApproved-source retrieval
Bedrock / LLMModel gateway
LangChain / LangGraphAgentic orchestration
Production Agentic RAG flow
  1. 1QueryAccess & policy gate
  2. 2Router / PlannerTool selection
  3. 3RetrieverApproved sources only
  4. 4Generator (LLM)Grounded answer
  5. 5ValidatorGroundedness · schema
  6. 6Action / ToolPermissioned, auditable
Guardrails & risk controls
Prompt-injection defense PII redaction Groundedness checks Policy & schema validation Tool permissions Hallucination prevention Audit trails Human escalation
Outcomes
AI / MLProduction models & copilots
BISelf-service analytics
APIsData sharing & products
AutomationAgentic workflows
Foundation

Single source of truth

Governed lakehouse with curated business data products on Snowflake, Databricks, and Delta — ingested via Fivetran, ADF, Glue, Kafka, and Kinesis, modeled with dbt and Airflow.

  • Bronze / Silver / Gold medallion
  • Data contracts & quality SLAs
  • Lineage, catalog, RBAC, encryption
  • Self-service BI & data sharing APIs
AI Readiness

Multimodal & vector readiness

Feature, embedding, and multimodal pipelines that turn governed data into AI-grade context — wired into your vector store and model gateway of choice.

  • Feature stores & embedding pipelines
  • Multimodal data prep (text, image, doc)
  • Vector DB integration & sync
  • Bedrock / OpenAI / open-source LLMs
Agentic RAG

Production-grade guardrails

LangChain / LangGraph orchestration with approved-source retrieval, validation, and policy gates — designed so the agent can act without acting unsafely.

  • Prompt-injection & PII defenses
  • Groundedness & schema validation
  • Tool permissions & audit trails
  • Anomaly detection & human escalation
03 — Method

A repeatable path from idea to steady-state.

Discover · Design · Deliver · Optimize — each phase produces a concrete artifact and a clear next-decision for your team.

01

Discover

~ 2 weeks

Workload inventory, dependency mapping, risk & compliance baseline, and stakeholder alignment.

  • Cloud Assessment Report
  • Risk & compliance findings
  • Migration readiness scorecard
02

Design

~ 2 weeks

Target architecture, landing-zone design, data & AI blueprint, and phased roadmap with measurable outcomes.

  • Strategic Roadmap
  • Reference architectures
  • Business case & TCO model
03

Deliver

8 – 12 weeks

Infrastructure setup, application & database migration, data platform build-out, and AI enablement — secured by default.

  • Infrastructure & migration delivery
  • Data platform & AI enablement
  • Handover & team training
04

Optimize

Ongoing

Continuous improvement: cost, reliability, security posture, and AI/data quality — operated by PODs or your team.

  • FinOps & performance tuning
  • Security posture management
  • Roadmap iteration & reporting
04 — Industries

Built for regulated, high-stakes environments.

We focus where modernization is hardest — where downtime, compliance, and data sensitivity raise the bar on every decision.

Financial Services

Regulated workloads, real-time data, and zero-tolerance security postures.

Healthcare & Life Sciences

HIPAA-aligned cloud, clinical data, and AI for research & care delivery.

Public Sector

Secure modernization, FedRAMP-aware architectures, and citizen-data protection.

Retail & Manufacturing

Unified data, demand intelligence, and resilient global supply-chain platforms.

Global IT Providers

Subcontracted cloud, AI, data, and security delivery — extending your bench worldwide.

05 — Accelerators

Pre-built kits that compress weeks of work.

Opinionated starting points — battle-tested patterns, IaC modules, and playbooks that get you to outcomes faster without locking you in.

Discover

Cloud Readiness Kit

A packaged accelerator to assess, prioritize, and plan cloud adoption across infrastructure, applications, operations, and data platforms — from maturity baseline to executive business case.

Maturity assessmentWorkload inventoryTCO / ROIRoadmap
Build

GenAI LaunchPad

Secure reference architecture for enterprise GenAI — model gateway, prompt management, evaluation, and guardrails — on AWS Bedrock, Azure OpenAI, or GCP Vertex.

Model gatewayPrompt mgmtEval harness
Foundation

Lakehouse Blueprint

Opinionated Snowflake + Databricks medallion design with dbt models, Airflow orchestration, lineage, and data contracts — your single source of truth, ready for AI.

Bronze/Silver/Golddbt modelsLineage
Secure

Security & Compliance Validation

Automated control mapping for SOC 2, HIPAA, and PCI — with remediation playbooks tied to your cloud baseline.

Control mapGap reportRemediation plan
Deliver

Migration Factory & POD Model

Repeatable migration waves run by dedicated PODs — IaC modules, runbooks, cutover playbooks, and weekly KPI reporting.

Wave deliveryRunbooksKPI cadence
Agentic AI

Agentic RAG Reference Stack

Production-grade LangChain / LangGraph orchestration with approved-source retrieval, validator, policy gates, audit trails, and human-escalation paths.

GuardrailsGroundednessTool permissions
Risk

Anomaly Detection & Risk Mitigation

Detect and prevent data-quality drift, suspicious access, policy violations, hallucinations, and unsafe tool actions — with continuous monitoring and exception workflows.

Drift detectionPolicy alertsHallucination defense
Operate

Managed Cloud & Data Ops

24/7 POD-based operations for cloud, data platforms, and AI workloads — predictable economics, defined SLAs, continuous optimization.

24/7 SREFinOpsQuarterly reviews
06 — KnowledgeWave

The TalentPros Hub knowledge hub.

Curated videos, articles, webinars, playbooks, and training content for cloud, data, AI, and security practitioners. Forthcoming — subscribe to be notified when content lands.

Coming soon
Playbook

Building the AI-Ready Data Ecosystem

How operational databases, SaaS, streams, files, and logs become governed Bronze, Silver, and Gold data products for analytics, APIs, ML, and RAG.

Reference architecture · Snowflake · Databricks · dbt
Coming soon
Playbook

Production-Grade Agentic RAG Guardrails

A practical walkthrough of access gates, approved-source retrieval, validator layers, policy checks, audit events, and human escalation paths.

LangChain · LangGraph · validation · audit trails
Coming soon
Video series

Snowflake + Databricks Lakehouse Patterns

Design choices for using Snowflake governed analytics, Databricks Spark/Delta processing, dbt models, and Airflow orchestration together.

Hosted by Srini Rachapudi · medallion deep-dive
Coming soon
Article

From Data Lake to Governed LLM Context

Turning curated business data into retrieval-ready context with embeddings, metadata filters, vector stores, lineage, and confidentiality controls.

~ 12 min read · embeddings, vector DB, retrieval
Coming soon
Webinar

Cloud Readiness Kit: From Assessment to Executive Roadmap

A 7-week readiness flow covering discovery, maturity assessment, workload prioritization, TCO/ROI, migration roadmap, and business-case handoff.

Webinar · CRK · roadmap · business case
Coming soon
Article

Data Tag Flow for Trusted AI and Compliance

How classification tags, owners, lineage, PII/PHI flags, retention rules, and access policies travel from source systems to BI, APIs, and LLM retrieval.

Data governance · lineage · access policy · AI controls
Coming soon
Webinar

Anomaly Detection & Risk Mitigation for Enterprise AI

Patterns for catching data quality drift, suspicious access, unsafe tool actions, policy exceptions, and hallucination risk before they become business incidents.

Live 60 min session · drift, policy, hallucination
Coming soon
Training

DevSecOps Essentials for Cloud & AI Teams

Hands-on enablement for secure IaC, CI/CD controls, cloud baselines, AI workload guardrails, and operational readiness across AWS, Azure, and GCP.

4-week cohort · hands-on labs · AWS / Azure / GCP

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07 — About

A founder-led professional services firm built for enterprise modernization.

TalentPros Hub is a founder-led professional services company that combines cloud, data, and AI transformation with cybersecurity, compliance validation, and risk mitigation. Together, our founders have managed $100M+ in cloud, data, AI, and infrastructure transformation programs for Fortune 500 multinational companies and regulated organizations.

We engage senior architects and security leaders from day one and back them with disciplined global PODs — so transformation moves at executive speed without outrunning enterprise risk.

Srinivasa (Srini) Rachapudi
Founder · Architecture, Pre-Sales & Cloud / Data / AI Delivery

Srini is a business-aligned technology transformation leader with 20+ years of experience guiding enterprises through cloud modernization, data platform builds, and AI adoption. At TalentPros Hub he owns enterprise architecture, pre-sales strategy, and founder-led delivery — partnering with executive teams to turn cloud and AI ambition into shipped, governed outcomes.

His prior enterprise leadership includes $52M+ in cloud order-booking experience during his Wipro tenure. That track record informs TalentPros Hub’s go-to-market discipline, executive solutioning, and delivery governance as a startup professional services firm.

His practice spans cloud modernization across AWS, Azure, and GCP; data platform architecture on Snowflake, Databricks, and dbt; and production Agentic RAG with LangChain, vector pipelines, and guardrails — supported by DevSecOps and infrastructure-as-code practices.

Focus areas
  • Enterprise & cloud architecture
  • Pre-sales strategy & solutioning
  • Cloud modernization · AWS / Azure / GCP
  • Data platform architecture & AI-ready ecosystems
  • AI / GenAI / RAG delivery
  • DevSecOps & infrastructure as code
Credentials include PMP, AWS Solutions Architect, AWS DevOps Engineer Professional, Google Cloud Professional Cloud Architect, Microsoft Azure Administrator, ITIL 4, Scrum Master, and OneTrust Privacy (GDPR).
View LinkedIn profile
Prasad Patibanda
Founder · Cybersecurity & Risk Services

Prasad is a strategic program leader with 20+ years driving digital transformation, enterprise IT initiatives, and secure product delivery across healthcare, oil & gas, energy, defense, and retail. At TalentPros Hub he leads the cybersecurity and risk services practice — owning security architecture, compliance validation, and risk mitigation across every engagement.

His remit covers AI-powered GRC and continuous compliance, enterprise security architecture and KPIs for multi-cloud ecosystems, privacy and data governance with ServiceNow, OneTrust, and BigID, cybersecurity capability assessments, HITRUST/NIST alignment, OT/ICS security programs, healthcare cloud migration and data protection, and incident response programs.

Focus areas
  • Cybersecurity strategy & security architecture
  • Regulatory compliance & risk mitigation
  • GRC & continuous compliance platforms
  • Privacy & data governance · ServiceNow / OneTrust / BigID
  • HITRUST, NIST & OT/ICS security programs
  • Secure delivery & incident response
Industry experience across healthcare, oil & gas, energy, defense, and retail.
View LinkedIn profile

What we believe

Enterprise modernization works when senior leaders own the outcome and security is engineered in, not bolted on. We bring both founders into every engagement and back them with disciplined global PODs.

  • Multi-decade enterprise technology leadership across both founders
  • Cloud + data + AI architecture paired with security leadership
  • $100M+ cloud, data, AI & infrastructure programs managed by the founders
  • $52M+ cloud order-booking leadership from Srini’s prior Wipro experience
  • AI-ready data ecosystem & Agentic RAG experience
  • Scalable POD-based global delivery
  • Founder-led, customer-first engagement
08 — Contact

Let's plan your next move.

Tell us about your environment and objectives. We'll respond within one business day with a recommended path — whether that's a discovery sprint, a managed POD, or a focused security review.

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Prefer to book time now? Schedule directly with Srini on Calendly.

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