Prem Moola

Prem Moola

Enterprise AI Platform Executive | CTO | AI, Data, and Platform Transformation

Ex-Goldman Sachs • BNY Mellon • Builder of Srasta.ai and Diggt Product Studio

About

I build enterprise AI platforms that help regulated and operationally complex organizations become more AI-native without giving up control, auditability, or platform discipline. My work sits at the intersection of AI infrastructure, data-platform modernization, cloud and developer platforms, and executive engineering leadership.

Over 20+ years, I have led platform transformation across Goldman Sachs, BNY Mellon, Alteon, and founder-led product environments, translating architecture decisions into measurable business outcomes such as 80% infrastructure cost reduction, 75% operational cost reduction, 40% reporting-cycle improvement, 70% faster time-to-insight, and 99.99% production uptime.

Recent highlights

  • Srasta.ai: Creating a governed enterprise AI platform for regulated environments, combining private inference, retrieval, model routing, controlled tool execution, and auditable memory and state management inside customer-controlled infrastructure.
  • Diggt Product Studio: Building and commercializing multiple live mobile-first SaaS products on a shared low-cost platform model, using reusable cloud, messaging, analytics, CRM, and subscription capabilities across the portfolio.
  • BNY Mellon: Directed Alternatives Data strategy and platform modernization across a $500B AUM asset-services estate spanning ~1,500 funds, six accounting systems, and ~2,000 operational users.
  • Alteon.io: Scaled engineering from 2 to 45, re-architected the platform into ~15 services managing ~800TB of data, reduced infrastructure costs by 80%, and maintained 99.99% uptime.
  • Goldman Sachs: Led trading analytics, regulatory-reporting, entitlement, and data-platform engineering across systems handling roughly 2TB of new data daily.

Specialties

Enterprise AI Platforms • AI and Data Transformation • Agentic Systems • LLM Infrastructure and RAG • Regulated Data Platforms • Cloud and Developer Platforms • Engineering Transformation • Enterprise Architecture

What I value

Building transparent, high-accountability engineering cultures and using AI to empower humans — not replace them.

Currently Exploring

  • Governed enterprise AI: Building Srasta.ai as a secure AI platform for regulated teams, combining private inference, retrieval, model routing, governed tooling, identity-aware access, and auditable execution patterns.
  • Enterprise intelligence layer: Designing evaluation loops that use routing accuracy, quality, latency, throughput, cost, and operator constraints to improve model behavior, retrieval quality, and governance outcomes.
  • Multi-product SaaS building: Scaling Diggt across SureLease, Shyftly, and Habit with shared authentication, notifications, analytics, CRM, deployments, subscriptions, and reusable operating patterns.
  • Regulated data modernization: Bringing together enterprise data strategy, AI-native workflows, audit-controlled reporting, and platform execution for complex financial and operational environments.

Building Velocity

A rolling view of hands-on building time across Srasta.ai, Diggt products, infrastructure, writing, and AI tooling.

Last 6 months

Tracked time

1204h 27m

Average week

44h 37m

across 27 active weeks

Best week

77h 20m

ending 2026-06-28

DecJanFebMarAprMayJun
MWF

Coding time, AI coding, browsing, and writing from WakaTime summaries.

Featured Projects

Srasta logo

Srasta

Gandiva Technologies

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Founder / CTO

Dec 2025 - Present

Self-hosted enterprise AI platform for private inference, retrieval, governed tools, identity-aware access, and operator workflows.

  • Set the core architecture invariant that customer documents, prompts, responses, audit records, identity data, and backups remain inside the customer's infrastructure perimeter
  • Architected OpenAI-compatible RAG/inference APIs with hybrid dense + BM25 Milvus retrieval, LiteLLM routing, vLLM GPU inference, and governed tool execution
  • Productized the Srasta Membrane as a governed memory/state boundary with branch/commit lifecycle, drift evaluation, lineage, and auditable rollback
  • Designed evaluation loops for routing accuracy, latency, quality, throughput, cost, hardware fit, and future fine-tuning priorities
Enterprise AIPrivate AIRAGGovernancePlatform Engineering
Shyftly logo

Shyftly

Diggt

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Founder & Builder

Aug 2025 - Present

Live workforce-management SaaS for small-business owners, managers, and employees across multi-store operations.

  • Built workflows for manager delegation, employee onboarding, shift templates, claims/swaps, availability, and time-off approvals
  • Architected Flutter and AWS serverless delivery with Node.js/TypeScript Lambda, DynamoDB single-table + GSI access patterns, and S3 profile assets
  • Implemented EventBridge automation, SES/APNs/FCM notifications, Secrets Manager, Stripe/Apple billing, and product-lifecycle CRM sync
  • Preparing beta onboarding with a 100-location QSR owner using the shared Diggt infrastructure foundation
SaaSWorkforce ManagementFlutterAWS Serverless
SureLease logo

SureLease

Diggt

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Founder & Builder

Aug 2025 - Present

Live cross-market rental property management SaaS for US and India markets across owner, tenant, lease, rent, and payment workflows.

  • Built owner/tenant workflows across properties, units, lease/rent operations, onboarding, OTP authentication, subscriptions, notifications, and mobile/web delivery
  • Preparing beta onboarding for 11 property owners, including Indian and Caribbean property owners domiciled in the US
  • Focused roadmap on digital identity, KYC onboarding, and cross-border rent/payment operations
  • Architecting payments with Stripe, iOS, Android, India payment rails, and a Finternet-inspired cross-border payments roadmap
SaaSProperty ManagementPaymentsFlutter
Diggt Habit logo

Diggt Habit

Diggt

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Founder & Builder

Aug 2025 - Present

Live mobile-first habit and goals product for tracking, streaks, tasks, reminders, completion analytics, and weekly feedback.

  • Reached 61 users while supporting fast daily habit tracking with minimal network dependency
  • Architected local-first Flutter/SQLite flow where 99% of operations run on-device
  • Implemented encrypted per-user backup/restore, JWT auth/sync, and timezone-aware reminders
  • Added EventBridge/Lambda/SES weekly summaries, opt-in analytics, and Apple/Google subscription tracking
Mobile AppFlutterSQLiteSubscriptions
BNY Mellon Alternatives Data Platform logo

BNY Mellon Alternatives Data Platform

BNY Mellon

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Senior Director, Alternatives Data

Sep 2024 - Jul 2025

Alternatives data strategy and AI-native platform modernization across a $500B AUM asset-services data estate.

  • Led architecture and strategy for ~1,500 funds, six accounting systems, and ~2,000 product/client-facing operational users
  • Standardized ingestion into a unified schema and operating model, reducing custom-reporting cycle time by 40%
  • Introduced Eliza and MCP server workflows for governed data queries and report building, reducing time-to-insight by 70%
  • Designed audit-controlled reporting pipelines where every action and report change was captured for traceability
Data EngineeringAI PlatformsMCPAudit Controls
Alteon.io Cloud SaaS Platform logo

Alteon.io Cloud SaaS Platform

Third Summit / Alteon

Vice President of Engineering

2021 – 2024

Enterprise media SaaS platform serving professional creative workflows and major media organizations including CNN and Disney.

  • Scaled the globally distributed engineering organization from 2 to 45 while supporting ~3,000 platform users
  • Re-architected the initial MVP into ~15 microservices managing ~800TB of data and multi-region transcoding clusters
  • Reduced infrastructure costs by 80% by replacing external cloud transcoding with an in-house cloud-based transcoding service
  • Moved release operations from ad hoc delivery to structured, certified, well-tested biweekly releases
SaaSMediaDevOpsCloud
Goldman Sachs Trading & Regulatory Systems logo

Goldman Sachs Trading & Regulatory Systems

Goldman Sachs

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VP Engineering, Global Technology Strategy

2004 – 2017

Big-data and regulatory platforms for trading, risk, and compliance across global markets.

  • Managed a 46-node Sybase IQ cluster in multiplex mode with three live-live clusters for business and regional isolation
  • Supported platforms processing roughly 2TB of new data daily across trading analytics, regulatory reporting, warehouse, and entitlement workflows
  • Reduced MemSQL operational and support overhead by 75% over six months through workflow redesign, platform tooling, automation, and strats-team onboarding
  • Re-architected OTC derivatives regulatory reporting workflows for CFTC, SEC, ESMA, NSD, TK, and Korean requirements
FinTechBig DataRegulatoryEntitlements
GdLabNet logo

GdLabNet

FinTech

Builder

Algorithmic trading platform for backtested strategies in Indian and US markets.

  • Auto-trading based on backtested strategies and algos
  • Platform to write, test, and execute individual trading strategies
FinTechAlgorithmic TradingAutomation

Get In Touch

I'm always interested in connecting with fellow technologists, leaders, and innovators. Whether you're looking to collaborate, discuss industry trends, or explore opportunities, I'd love to hear from you.

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