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AkhileshSR/README.md

GitHub Streak

👋 Akhilesh Singh | Director, AI Transformation

Sovereign AI Advocate | Global FinTaxTech Leader | 20+ Years Enterprise Experience

"I build AI that runs enterprise operations across 54 countries, not only slide decks."

📍 India | 📧 Akhilesh.digital@Outlook.com | 🔗 LinkedIn | 📦 GitHub


🎯 What Makes This Profile Different

  • Hands-on AI Builder: I personally architect production AI systems, not just lead strategy
  • Enterprise Scale: Systems I've architected support a Multi-million $+ transaction footprint across 54 jurisdictions
  • CFO-Level Impact: My AI systems save millions annually, recognized with CFO 100 Award (2023-2025)
  • Sovereign AI Advocate: In-region, sovereign LLM deployment as a governance principle
  • Global Delivery: Directed onsite programs across USA, UK, Australia, Singapore, Canada, delivery focused

🏢 Office / Production Stack

The toolset actually running behind enterprise systems at LDC, Azure-native, chosen for data residency and enterprise governance.

Layer Tools
Orchestration & Agents Semantic Kernel · Azure AI Foundry · AutoGen (single- & multi-agent)
LLMs Azure OpenAI Service, GPT-4o, o1 (in-region / sovereign deployment)
Retrieval Azure AI Search (vector index) · Azure OpenAI text-embedding-3-large
Evaluation & Tracing Prompt Flow
Data & Analytics MS Fabric · Databricks · Snowflake · SQL (MS SQL Server, Oracle PL/SQL)
ERP Integration SAP S/4HANA · ONESOURCE · OneStream · D365 F&O

These are the tools behind the RAG compliance pipeline, invoice anomaly detection model, and legal document automation engine described on my CV, same systems, same names, no translation needed between the two.


🧪 Personal Test Bed / POC Lab

A lighter-weight stack I use for demos and personal experimentation, not the enterprise toolset above, and not presented as such.

30+ agentic AI use cases built across this Test Bed, a mix of single-agent workflows and multi-agent orchestrations, several of which were piloted or rolled out to production at LDC. The 4 repos below are representative examples, not the full set.

Agent Purpose Stack
🔍 last30days-skill Multi-source research aggregation (Reddit, X, YouTube, HN) LangGraph orchestration
🧠 llm-council-skill2 Multi-LLM deliberation for hallucination reduction Claude 3.5 Sonnet, Gemini 1.5 Pro, Phi-3
⚡ gstack Prompt methodology experiments Claude Code CLI
🛡️ AgentFS Auditable AI filesystem, verifiable audit trails for agent decisions Python + SQLite

RAG pipeline (Test Bed): FAISS + Sentence-Transformers (open-source embeddings), the lightweight counterpart to the Azure AI Search + Azure OpenAI embeddings used in production.

Demo-scope only, built to validate patterns and technical feasibility before proposing them for enterprise use, not run on enterprise infrastructure.


🗂️ Agentic AI Portfolio: Problem Areas

A few samples from the 50+ agentic AI use cases in my Test Bed, several of these were piloted or rolled out to production at LDC. Sorted by value-creation potential (my own qualitative assessment of business impact, not a per-agent production or ROI claim).

Agent Category Problem it addresses Value-Creation Potential
Financial Reconciliation Investigation Finance Tracing and explaining mismatches between ledgers/accounts that would otherwise need manual line-by-line investigation High
Journal-Entry Audit Finance Reviewing journal entries for anomalies or policy violations before period close High
Regulatory Report-Drafting Compliance Assembling first-draft regulatory filings from underlying transaction data High
Financial-Crime False-Positive Reduction Compliance Cutting the volume of flagged transactions that turn out to be legitimate, so investigators focus on real risk High
Procure-to-Pay Procurement Automating the invoice-to-payment cycle end to end High
Invoice Exception & 3-Way-Match Procurement Catching mismatches between purchase order, goods receipt, and invoice before payment High
Supply-Chain Forecasting & Transshipment Supply Chain Forecasting demand and flagging optimal transshipment points across a logistics network High
Spec-to-Build Developer ERP Turning a written functional spec into a first-pass code/configuration build Medium
Release/Regression-Testing Delivery Running and triaging regression test suites ahead of a release Medium
Change-Management/Change-Ticket Delivery Drafting and routing change tickets through approval workflows Medium
Knowledge-Capture Operations Turning project artifacts/conversations into reusable documented knowledge Medium
Alert Correlation & Noise-Reduction Operations Grouping related monitoring alerts into one incident instead of many duplicate pages Medium
Ticket Triage & Auto-Resolution Operations Classifying incoming support tickets and auto-resolving the common/repetitive ones Medium
Recruitment Screening HR Screening incoming candidate applications against role requirements Medium
HR Onboarding & Associate-Allocation HR Coordinating new-hire onboarding tasks and initial team/project allocation Medium
Access-Provisioning Request Workforce Handling system-access requests and routing them for approval Medium
Carrier-Rate Comparison Logistics Comparing freight carrier rates/routes to surface the lowest-cost option Medium
Shipment Tracking & Exception Logistics Monitoring shipments in transit and flagging exceptions (delays, damage, misroutes) Medium

(IT & Infrastructure and Commercial & Customer categories exist in the broader portfolio but are left off this table for now.)


📊 Enterprise Impact Snapshot

System Impact Scale
Tax Resolution Agent (RAG) 65% research time reduction 54 countries
Invoice Fraud Detection (Naive Bayes) 95% accuracy in production Global commodity transactions
VAT Compliance Automation 80%+ straight-through processing Europe & Brazil
Cloud FinOps Optimization $2M annual savings Azure / AWS / GCP
AI Governance Framework ISO 42001 compliant 54 jurisdictions

🏆 Recognitions

  • CFO 100 Award (2023-2025): Digital Transformation Excellence at Louis Dreyfus Company
  • Most Valued Person - MVP (2024): Exceptional leadership at LDC India
  • KPMG Encore Team & Kudos (2016-2017): Digital Innovation & Enterprise Solutioning
  • Deputy CEO Appreciation (2016): Strategic transformation impact at KPMG
  • NIIT Award of Excellence (2001): 300%+ productivity gain via automation

💼 Enterprise Leadership

  • Global Scale: Deployed systems across 54 countries, managing $10M+ budgets
  • Team Leadership: Built 120+ FTE teams; established GCC from greenfield (50+ engineers in 90 days)
  • CXO Relationships: Trusted advisor to 200+ CXOs; reported directly to Global CFO at LDC
  • Certifications: ISO 42001 Lead Implementer | CAISO | CAIO | AB 731 AI Transformation Leader (2026) | PMP | PRINCE2 | Six Sigma Green Belt
  • (Prior, expired: Microsoft Azure Certification, Enterprise SQL Certification, early cloud/data credentials)

🎯 How to Collaborate

I'm available for Senior Leadership Roles in:

  • AI Transformation Director / VP
  • Chief AI Officer / Head of AI
  • Global Digital Transformation Lead
  • GCC / Capability Centre Head

Available to join within 10/15 days.

📧 Akhilesh.digital@Outlook.com
🔗 LinkedIn | 📦 GitHub


"I don't build slide decks. I build systems that run enterprises."

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