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wolfsbane9513/README.md

[ OPERATOR_PROFILE ]: RAVI PRAKASH

SYSTEM_STATUS: OPERATIONAL /// LOCATION: BENGALURU, IN /// ROLE: STAFF_PRODUCTION_ENGINEER /// SPEC: AI/ML + LLM + AUTOMATION

// DESIGNATIONS: Staff Production Engineer | AI/ML Specialist | LLM & Automation Educator | Co-founder @ TransmuteLabs

LinkedIn | GitHub | Email | TransmuteLabs


[ SYSTEM_CORE ]

The Production AI Architect 12+ years engineering production-grade AI systems across FinTech, payments, fraud detection, and compliance at Morgan Stanley, Barclays, and Cognizant. Currently at ClearStreet (via Wissen Technologies), architecting RAG systems, LLM-powered pipelines, and real-time anomaly detection at scale. Also running cohort-based courses on n8n and make.com, and co-founded TransmuteLabs β€” an AI consulting practice.

INITIALIZING... LOADING_SKILL_MODULES... // "Build AI that ships, not just AI that demos."


[ OPERATOR_DETAILS ]

  • 🏦 DOMAIN_DEPTH: FinTech / Payments / Treasury / Fraud & Sanctions Screening / Regulatory Compliance
  • πŸ€– CURRENT_FOCUS: Production RAG Systems / Multi-Agent LLM Frameworks / AI Automation for Enterprise
  • πŸŽ“ CREDENTIALS: ISB β€” Advanced Management Programme in Business Analytics (2021) / MTech Software Engineering β€” BITS Pilani (2017)
  • 🀝 OPEN_TO: Consulting Engagements / AI Automation Projects / FinTech AI Collaborations via TransmuteLabs

[ ACTIVE_PROTOCOLS ]

  • πŸ” RAG_&_LLM_SYSTEMS: Production-grade Retrieval-Augmented Generation pipelines with hybrid search, reranking, and contextual memory β€” deployed at scale for financial document analysis, log intelligence, and semantic search.
  • ⚑ AI_AUTOMATION (n8n / make.com): End-to-end automation workflows connecting LLMs to business systems β€” lead scoring, document processing, alert routing, and zero-code AI pipelines. Actively teaching this.
  • πŸ›‘οΈ FINTECH_ML: Fraud detection and anomaly detection using LSTM, One-Class SVM, DBSCAN, Isolation Forests, and SARIMA for Swift Network transactions and payment processing at enterprise scale.
  • πŸ€– MULTI_AGENT_AI: Multi-agent orchestration using CrewAI, LangChain, and Model Context Protocol (MCP) β€” autonomous pipelines combining web search, tool calling, and structured LLM reasoning.

[ TECHNICAL_INVENTORY ]

LLM_&_AI VECTOR_DBS_&_SEARCH ML_/_DEEP_LEARNING
:blue_circle: LangChain 🟠 ChromaDB πŸ”΄ PyTorch
:blue_circle: LlamaIndex ⚫ Pinecone 🟠 TensorFlow
🟠 CrewAI :blue_circle: Azure AI Search 🟑 scikit-learn
🟣 GPT-4o 🟑 HuggingFace
🟠 Mistral
:blue_circle: Llama3
:blue_circle: DeepSeek-R1
AUTOMATION_&_NOCODE INFRA_&_CLOUD APP_/_UI
πŸ”΄ n8n ⚫ AWS πŸ”΄ Streamlit
🟣 make.com :blue_circle: Kubernetes 🟠 Gradio
🟠 Zapier ⚫ Apache Kafka 🟒 FastAPI
:blue_circle: Docker ⚫ Vercel
🟠 Argo Workflows
🟣 Datadog
LANGUAGE_CORE
:blue_circle: Python
:blue_circle: SQL
:blue_circle: R

[ CAREER_TIMELINE ]

2024 – PRESENT  >>>  STAFF PRODUCTION ENGINEER  @  ClearStreet (via Wissen)
                     // RAG systems, anomaly detection, Kafka/K8s pipelines

2021 – 2024     >>>  VICE PRESIDENT  @  Morgan Stanley
                     // Payments fraud ML, LSTM anomaly detection, RAG log analysis

2018 – 2020     >>>  BUSINESS ANALYST L4  @  Barclays
                     // NLP chatbot (BERT/RoBERTa), MLOps, led 15-member team

2012 – 2017     >>>  SENIOR SYSTEMS EXECUTIVE  @  Cognizant
                     // Data automation, APAC/EMEA reporting, reduced 3 FTE via automation

[ MISSION_LOG // HIGHLIGHTS ]

  • [ACHIEVED] 40% reduction in manual log analysis time via RAG + LLM system at Morgan Stanley (1M+ daily logs)
  • [ACHIEVED] 30% improvement in fraud detection via LSTM models on Swift Network transactions
  • [ACHIEVED] 30% efficiency gain in resource allocation via SARIMA forecasting + anomaly detection on Kubernetes
  • [ACHIEVED] 50% reduction in critical incidents via production AI-driven log intelligence system
  • [ACHIEVED] Built automation systems saving $180,000 annually at Cognizant by eliminating 3 FTE
  • [AWARDED] ISB Grass Roots Innovation β€” two consecutive quarters at Morgan Stanley

[ TEACHING_&_COMMUNITY ]

// KNOWLEDGE_TRANSFER_PROTOCOL

Running cohort-based automation courses teaching working professionals how to build AI-powered workflows with n8n and make.com β€” from zero-code automations to multi-agent LLM pipelines.

  • πŸŽ“ STUDENTS_TRAINED: 100+ professionals across cohorts
  • πŸ“„ COURSE_MODULES: Project Management Automation / Voice Agents / n8n Workflows / AI-powered Apps
  • πŸ”— Active on LinkedIn sharing automation tutorials and AI insights

[ TRANSMUTELABS ]

// VENTURE_MODULE: ACTIVE

Co-founded TransmuteLabs with Sruthi Vijayakumar (Lead Data Scientist, EY) β€” an AI consulting practice focused on:

  • Enterprise RAG & LLM systems for BFSI and FinTech companies
  • AI automation workflows (n8n, make.com, MCP) for mid-size businesses
  • Custom AI product development β€” from prototype to production

COMBINED_TEAM_XP: 21+ years AI/ML | Azure ML | AWS | FinTech Domain | Enterprise Delivery


[ CERTIFICATIONS_LOG ]

  • [CERT] Data Scientist Level 1 β€” Analytix Labs
  • [CERT] Python & Machine Learning β€” NPTEL IIT Madras & IIT Kharagpur
  • [CERT] Advanced Management Programme in Business Analytics β€” Indian School of Business (ISB)

[ PORTFOLIO_SITE ]

// FULL INTERACTIVE EXPERIENCE

>>> Launch Portfolio Site β€” Brutalist dark-themed portfolio with animated sections, scrolling marquee, and interactive tech stack.


[ SYSTEM_DIAGNOSTICS ]

Stats Langs

Streak


[ CONNECT_INTERFACE ]

// INITIATE_HANDSHAKE

  • πŸ€– AI automation & LLM engineering in production
  • 🏦 FinTech AI β€” fraud detection, payments intelligence, compliance ML
  • πŸ”§ Consulting engagements via TransmuteLabs
  • πŸŽ“ Collaboration on AI/automation courses or content

LinkedIn | Email | TransmuteLabs


Β© 2026 RAVI PRAKASH // BUILT WITH 12 YEARS OF PRODUCTION ML EXPERIENCE // BENGALURU, INDIA // END_OF_TRANSMISSION

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