Mumbai, India — Open to UAE Relocation

Aishwariy Baheti

AVP — Credit Risk Automation & AI Engineering

8+ years building enterprise-grade automation, data engineering, and ML/AI systems across financial services and industrial domains. Bridging rigorous risk governance with cutting-edge AI deployment.

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About

Who I Am

I'm an AVP-level technologist specialising in credit risk automation and AI engineering at Morgan Stanley (Mumbai). My work sits at the intersection of rigorous financial governance and modern engineering — translating complex regulatory requirements into robust, production-ready systems.

Over eight years I've designed and delivered stress-testing pipelines, market-data ingestion platforms, and ML-powered forecasting models across banking (Morgan Stanley) and energy (BPCL). I've spoken at the AFPM Summit 2024 in the USA and hold an MBA from IIM Indore alongside a B.Tech in Computer Science from NIT Bhopal.

I bridge the gap between business stakeholders and engineering teams — equally comfortable writing a Python data-validation framework, designing a REST API, fine-tuning a RAG pipeline, or presenting risk insights to senior leadership.

Currently based in Mumbai; actively exploring opportunities in the UAE financial-services and technology sector.

8+
Years Experience
4
Companies
40%
Manual Processing Reduced at MS
35%
AI Accuracy Uplift at BPCL

Skills

Technical Expertise

A breadth of capabilities spanning risk quantification, AI/ML engineering, data infrastructure, and enterprise cloud.

Credit Risk & Governance

  • Credit Risk Automation
  • Stress Testing
  • Regulatory Reporting
  • Model Validation
  • A/B Testing
  • Data Governance

AI / LLM

  • OpenAI APIs
  • LangChain
  • RAG
  • Prompt Engineering

Machine Learning

  • Scikit-learn
  • TensorFlow
  • PyTorch
  • XGBoost

Data Engineering

  • Python
  • SQL
  • Apache Spark
  • Hadoop
  • ETL Pipelines

Cloud & DevOps

  • AWS
  • Azure
  • REST APIs
  • Microservices
  • CI/CD
  • Git

Languages

  • Python
  • R
  • SQL
  • Java
  • C#

Business Intelligence

  • Power BI
  • Tableau

Experience

Career Timeline

A decade of progressive impact across financial services and energy.

  1. AVP, Credit Risk

    Current

    Morgan Stanley

    2025 — Present

    Mumbai

    • Leads a 2-person automation team accountable for credit-risk pipeline reliability and capacity.
    • Built stress-testing pipelines (Python / SQL) reducing manual processing by -40%
    • Optimised headcount requirements, delivering 3 FTE
    • Architected a REST API market-data ingestion platform powering Funds Monitoring early-warning risk indicators.
    • Built governance-aligned data validation and transformation frameworks for regulatory submissions.

  2. Manager, Digital Solutions

    BPCL

    2024 — 2025

    Mumbai

    • Developed ML models for demand and operational forecasting, improving predictive accuracy by +30%
    • Engineered enterprise-grade ETL pipelines integrating heterogeneous data sources at scale.
    • Built LLM RAG knowledge-management systems, lifting chatbot response accuracy by +35%
    • Defined the enterprise AI/ML deployment framework adopted across business units.
    • Represented BPCL's digital transformation journey at AFPM Summit 2024 (Houston, USA).

  3. Assistant Manager, Digital Solutions

    BPCL

    2020 — 2024

    Kochi & Mumbai

    • Delivered predictive maintenance analytics for critical refinery assets, reducing unplanned downtime.
    • Productionised ML models via REST APIs integrated with ERP/MES systems.
    • Implemented A/B testing frameworks to validate model performance in production environments.
    • Created executive dashboards in Power BI and Tableau, consumed by C-suite stakeholders.

  4. Engineer, Information Systems

    BPCL

    2017 — 2020

    Kochi

    • Developed enterprise web applications maintaining 99%+
    • Built and maintained data infrastructure covering ingestion, storage, and governance compliance.
    • Collaborated with cross-functional teams to deliver projects on schedule and within scope.

Projects

Selected Work

From multi-agent AI systems to enterprise data platforms — projects built to solve real problems at scale.

Multi-Agent AI Video Generation Pipeline

Orchestrates 10 specialised AI agents to fully automate end-to-end video creation — from script generation and voice synthesis to B-roll selection and final assembly.

  • Architecture: n8n workflow orchestration + FastAPI agent server
  • Storage: PostgreSQL (state), Redis (caching/queues)
  • Voice synthesis via Kokoro TTS; B-roll sourced from Pexels API
  • Deployed on Oracle Cloud OCI Always Free ARM compute
  • Agents: script, keyword, image, voice, BGM, assembly, and more
PythonFastAPIn8nPostgreSQLRedisTTSMulti-Agent SystemsOCI
View on GitHub

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Education & Certifications

Academic Background

Degrees

  • Master of Business Administration (MBA)

    Indian Institute of Management Indore (IIM Indore)

    Class of 2025

  • B.Tech, Computer Science & Engineering

    National Institute of Technology Bhopal (NIT Bhopal)

    Class of 2017

Certifications

  • Machine Learning & Deep Learning

    CEP, IIT Bombay

  • Microsoft Azure Data Factory

    Microsoft

Contact

Let's Connect

Open to senior engineering and AI leadership roles — especially in financial services, fintech, or regulated environments. Based in Mumbai; open to UAE relocation.

Send an email
aishwariybaheti@gmail.comLinkedInGitHub