I’m Sriranjan Reddy Chilukuri, an AI/ML Engineer with over 13 years of experience delivering data-driven, scalable AI solutions across multiple industries. I design and deployed AI models, NLP systems, and GenAI-enabled applications that help organizations automate complex workflows and derive actionable insights. I enjoy turning ambitious ideas into production-ready systems, collaborating with cross-functional teams to deliver measurable outcomes. My work spans cloud-based ML pipelines, MLOps, risk-aware AI, and ethical AI practices. I stay curious about cutting-edge AI advancements and strive to implement governance, security, and fairness considerations while keeping the user experience at the forefront of every solution.

Sriranjan Reddy Chilukuri

I’m Sriranjan Reddy Chilukuri, an AI/ML Engineer with over 13 years of experience delivering data-driven, scalable AI solutions across multiple industries. I design and deployed AI models, NLP systems, and GenAI-enabled applications that help organizations automate complex workflows and derive actionable insights. I enjoy turning ambitious ideas into production-ready systems, collaborating with cross-functional teams to deliver measurable outcomes. My work spans cloud-based ML pipelines, MLOps, risk-aware AI, and ethical AI practices. I stay curious about cutting-edge AI advancements and strive to implement governance, security, and fairness considerations while keeping the user experience at the forefront of every solution.

Available to hire

I’m Sriranjan Reddy Chilukuri, an AI/ML Engineer with over 13 years of experience delivering data-driven, scalable AI solutions across multiple industries. I design and deployed AI models, NLP systems, and GenAI-enabled applications that help organizations automate complex workflows and derive actionable insights. I enjoy turning ambitious ideas into production-ready systems, collaborating with cross-functional teams to deliver measurable outcomes.

My work spans cloud-based ML pipelines, MLOps, risk-aware AI, and ethical AI practices. I stay curious about cutting-edge AI advancements and strive to implement governance, security, and fairness considerations while keeping the user experience at the forefront of every solution.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Work Experience

AI/ML Engineer at Apple
April 1, 2025 - Present
Architected and deployed a production-grade RAG- and agent-based troubleshooting assistant for Cloud SRE, integrating with Google Chat/Slack via Python, Vertex AI, and LangGraph. Built multi-source ingestion and embedding pipelines from internal knowledge bases, incident notes, Stack Overflow, and transcripts; enhanced ETL with LLM-powered summarization; designed a multi-agent architecture (Manager, Analyzer, Executor, RAG) with MCP-based diagnostic tools to inspect runtime state. Implemented an Analyzer–Executor decision loop to isolate root causes and grounded responses with live evidence and enterprise runbooks. Created a persistent conversation memory layer with Firestore and validated the system with a 100-question golden dataset, achieving 96% answer accuracy. Deployed using Docker/Kubernetes with CI/CD, and led UAT and security validation with platform teams.
AI/ML Engineer at American Intercontinental University
June 1, 2024 - April 1, 2025
Led migration from Dialogflow CX to a Retrieval-Augmented Generation (RAG) based architecture for student support chat. Built an end-to-end multi-source RAG pipeline integrating structured FAQ data, unstructured policy documents, and live website content. Implemented dynamic retrieval routing (FAQ, documents, website) and a conversation-aware follow-up system with a classifier and query rewriter to maintain context and improve retrieval quality. Grounding controls reduced hallucinations and ensured source attribution. Delivered a Streamlit UI for rapid prototyping with source citations and session memory backed by Redis, plus structured logging for debugging and evaluation.
AI/ML Engineer at ICICI Bank
October 1, 2021 - May 1, 2024
Worked on data collection, preprocessing, and exploratory data analysis for the iDigiPay project. Built predictive models (logistic regression, random forests) to identify at-risk customers and forecast churn with 93% accuracy. Developed a customer segmentation strategy that improved targeting effectiveness by ~20%, contributed to a ~19% churn reduction and ~10% increase in customer acquisition, and conducted A/B tests to optimize marketing campaigns. Created interactive Tableau dashboards to visualize KPIs and presented results to senior management.
Python Developer at Voya Financial
September 1, 2020 - October 1, 2021
Built scalable backend services using Python, Flask, and REST APIs; designed data models with MySQL, MongoDB, and SQLAlchemy; implemented asynchronous workflows with Celery and Redis; containerized applications with Docker and deployed on AWS. Strengthened security with OAuth 2.0 and RBAC; automated CI/CD with Jenkins; implemented monitoring, logging, and production troubleshooting. Contributed to agile processes and ensured reliable production-grade delivery.
Python Developer at John Hancock
October 1, 2019 - September 1, 2020
PMACS and VPAS platform modernization: governed Git repos, built Django-based web platforms, and delivered REST APIs with RBAC. Created responsive frontend components, ensured high-traffic reliability, and supported production operations on Linux/Apache. Implemented PostgreSQL data modeling and optimized queries; participated in unit testing, SDLC governance, and agile practices with Jira/Confluence.
Python Developer at Prudential Life Insurance Company Limited
June 1, 2016 - October 1, 2019
Digital Insurance Platform development and cloud modernization: built scalable backend services with Python/Flask and REST APIs for microservices. Designed relational and NoSQL data solutions (Azure MySQL, Cosmos DB, SQLAlchemy). Containerized apps with Docker and deployed on Azure VMs; maintained Azure DevOps CI/CD pipelines; implemented OAuth 2.0 and Entra ID for secure access; used Azure Monitor and Log Analytics for monitoring and troubleshooting.
Business Analyst at Aviva
June 1, 2012 - May 1, 2016
Supported insurance business transformation initiatives with requirements gathering, process analysis, stakeholder coordination, and testing support. Prepared BRS, functional specifications, and workflow diagrams; conducted impact analyses, gap analyses, and current/future-state assessments. Acted as liaison among stakeholders, QA, and development teams; supported UAT and ensured traceability across documents and deliverables.

Education

B.Tech (Electronics & Communication) at Jawaharlal Nehru Technological University
January 1, 2008 - January 1, 2012
MBA (Finance & Marketing) at Osmania University
January 1, 2014 - January 1, 2016

Qualifications

IBM Generative AI Applications
January 11, 2030 - May 13, 2026
LangGraph - Develop LLM powered AI agents
January 11, 2030 - May 13, 2026
Applied Machine Learning in Python
January 11, 2030 - May 13, 2026
Build AI Apps with ChatGPT, Dall-E and GPT-4
January 11, 2030 - May 13, 2026
Databases and SQL for Data Science with Python
January 11, 2030 - May 13, 2026
Data Science and Machine Learning
January 11, 2030 - May 13, 2026
Exploratory Data Analysis for Machine Learning
January 11, 2030 - May 13, 2026
Getting Started with Generative AI APIs
January 11, 2030 - May 13, 2026
Basic Statistics
January 11, 2030 - May 13, 2026
Prompt Engineering for ChatGPT
January 11, 2030 - May 13, 2026

Industry Experience

Software & Internet, Financial Services, Education, Professional Services, Media & Entertainment