$ check chat-availability

└─ status: not running here

└─ reason: this browser doesn't ship chrome's on-device gemini nano (or you're on mobile, where it also doesn't ship)

└─ fix: open suneer.dev in chrome 138+ on desktop. the chat lives on your machine, not mine — your laptop does the thinking, i just supply the cv.

└─ on chrome desktop? paste these into the address bar, set both to enabled, restart:

suneer pallitharammal mukkolakal

senior ai platform engineer ·· agentic ai ·· ai platform

Building production systems at the intersection of AI, Data, and Cloud - primarily in financial services and international development. Currently leading agentic AI and Platform engineering at the World Bank Group.

key achievements

  • Designed an infrastructure automation framework selected for presentation at HashiConf 2025 as a featured speaker; adopted across multiple platform teams.
  • Created IFC's first enterprise AI platform for ESG risk assessment, expanding risk coverage by 10x and accelerating analyst review cycles by 5x.
  • Published peer-reviewed paper at EMNLP 2022 on a transformer-based approach for Structured Text-Based Sentiment Analysis.
  • Creator of AIDevEx, a free Azure DevOps extension bringing AI-assisted code review and automation into CI/CD pipelines.
  • Architected WBG's internal VSCode extension for AI-assisted product development, centralizing Agent management, Skill libraries, and Prompt catalogs via governed Git.
  • Fine-tuned BERT model recognized in Global Top 100 AI Innovations (IRCAI–UNESCO, 2021).

experience

› World Bank Group · Washington, DC

Lead AI Platform Engineer — Data & Apps Aug 2021 – Present
  • Applied agentic automation (Claude Code, CrewAI, LangGraph) to accelerate implementation workflows and reduce repetitive engineering work across platform teams.
  • Architected an internal VSCode extension for AI-assisted product development with centrally governed Agent, Skill, and Prompt catalogs via Git, plus WBG-specific PR review and User-Story-to-Implementation flows.
  • Engineered self-service platform capabilities supporting 300+ data and AI workloads — Kubernetes/Terraform provisioning reduced from days to minutes.
  • Built the WBG Treasury Data Platform on Azure (Data Lake, Databricks, Azure SQL) for enterprise-scale ingestion, transformation, and analytics.
  • Established secure DevSecOps pipelines (SAST, DAST, container scanning, SCA), reducing release cycle times by 30%.

› International Finance Corporation (IFC) · Washington, DC

Lead Machine Learning Engineer Oct 2017 – Sep 2021
  • Built IFC's first enterprise-scale AI/ML platform for ESG risk assessment — improved risk-assessment speed by 5x and expanded document coverage by 10x.
  • Architected large-scale data infrastructure on Azure Databricks, Data Lake, and Azure SQL for analytics and ML model serving.
  • Integrated transformer models (BERT, RoBERTa) for text classification and named-entity recognition across emerging-market filings.
  • Designed MLOps pipelines on Azure for model development, deployment, monitoring, and retraining.
  • Published peer-reviewed paper at EMNLP 2022 on a transformers-based approach for structured text-based sentiment analysis.

› International Finance Corporation (IFC) · Washington, DC

Senior Software Development Engineer Dec 2013 – Sep 2017
  • Led development of IFC's Investment Portal — a daily-use application for investment officers — using cloud and microservice architectures.
  • Designed end-to-end application architecture focused on scalability, fault tolerance, and performance for investment management systems.
  • Introduced CI/CD pipelines, reducing release lead times and improving deployment reliability.
  • Engineered World Bank enterprise applications across Operations, Knowledge, and Search domains.

› Bank of America · Charlotte, NC

Big Data — Hadoop Consultant Oct 2012 – Dec 2013
  • Implemented the bank's first Hadoop cluster and built the CFO Risk platform for Dodd-Frank compliance, processing multi-terabyte regulatory datasets.
  • Achieved 20x improvement in data processing times via Spark-based ETL replacing legacy Netezza processes.
  • Developed a 500 TB Data Lake managing millions of transactional records across multiple Lines of Business.

› Tata Consultancy Services · India

Information Technology Analyst Apr 2007 – Sep 2012
  • Delivered Java-based solutions for financial services enterprise clients over 5+ years, focusing on modular design, middleware integration, and Agile delivery across multiple projects.

technical skills

agentic ai & llm engineering
Pi, CrewAI, LangGraph, MCP, A2A Protocol, OpenAI Agents SDK, Agentic RAG, Agent Guardrails & Evaluation, AWS Bedrock, AWS AgentCore, Azure AI, LangChain, Vector DB, Prompt Engineering, Claude Code, Codex, OpenCode
machine learning & data science
SageMaker, BERT, RoBERTa, Transformer Models, MLOps Pipelines, Drift Detection, Feature Engineering, Explainable AI
platform & cloud architecture
Azure, AWS, GCP, Terraform, Ansible, Kubernetes, Helm, Docker, ArgoCD, Kustomize, CRDs
data engineering
Databricks, PySpark, Azure Data Factory, Data Lake, Apache Spark, Kafka, Hadoop, MapReduce, MongoDB
devsecops & observability
GitHub, Azure DevOps, Jenkins, Aqua, Prisma, Prometheus, Grafana, Splunk, CloudWatch
languages & frameworks
Python, TypeScript, NodeJS, Java, ReactJS, NextJS
cloud security
Zero Trust, OAuth 2.0, Azure AD, AWS IAM, Prisma CSPM

proof of work

  1. 2025
    HashiConf 2025 — Featured Speaker

    Infrastructure Automation Framework

  2. 2022
    EMNLP 2022

    Transformers-based Approach for Structured Text-Based Sentiment Analysis

  3. 2021
    IRCAI–UNESCO Global Top 100 AI Innovations

    Fine-tuned BERT for ESG text analysis

  4. AIDevEx (Creator)

    Free Azure DevOps extension for AI-assisted development workflows

education

  • Product Management for Engineers · Cornell University
  • Bachelor of Technology, Electronics & Communication Engineering · University of Calicut

certifications

AWS Certified Solutions Architect · Microsoft Certified Professional · SAFe Certified Architect