Available to hire
I am Sriranjan Reddy Chilukuri, an AI/ML Engineer with over 13 years of experience spanning AI development, data analysis, and data engineering. I specialize in leveraging AI, ML, NLP, and Generative AI to deliver scalable, impactful solutions across diverse industries. I have hands-on experience with large language models and agent-based AI systems, focusing on production-ready deployments that drive digital transformation and business value.
My technical toolkit includes RAG architectures, LangChain and LangGraph-based agents, cloud platforms (GCP, AWS, Azure), and robust MLOps practices. I program primarily in Python, using TensorFlow, PyTorch, and scikit-learn, and I work with data pipelines, feature engineering, and model monitoring. I am committed to ethical AI, risk management, and building transparent, auditable AI systems that align with enterprise governance and security standards.
Skills
Experience Level
Language
English
Advanced
Work Experience
AI/ML Engineer at Apple
April 1, 2025 - PresentArchitected 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, 2025Led 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, 2024Worked 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, 2021Built 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, 2020PMACS 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, 2019Digital 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, 2016Supported 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, 2012MBA (Finance & Marketing) at Osmania University
January 1, 2014 - January 1, 2016B. Tech (Electronics & Communication) at Jawaharlal Nehru Technological University
January 1, 2008 - January 1, 2012MBA (Finance & Marketing) at Osmania University
January 1, 2014 - January 1, 2016Qualifications
IBM Generative AI Applications
January 11, 2030 - May 13, 2026LangGraph - Develop LLM powered AI agents
January 11, 2030 - May 13, 2026Applied Machine Learning in Python
January 11, 2030 - May 13, 2026Build AI Apps with ChatGPT, Dall-E and GPT-4
January 11, 2030 - May 13, 2026Databases and SQL for Data Science with Python
January 11, 2030 - May 13, 2026Data Science and Machine Learning
January 11, 2030 - May 13, 2026Exploratory Data Analysis for Machine Learning
January 11, 2030 - May 13, 2026Getting Started with Generative AI APIs
January 11, 2030 - May 13, 2026Basic Statistics
January 11, 2030 - May 13, 2026Prompt Engineering for ChatGPT
January 11, 2030 - May 13, 2026IBM Generative AI Applications
January 11, 2030 - May 27, 2026LangGraph - Develop LLM powered AI agents
January 11, 2030 - May 27, 2026Applied Machine Learning in Python
January 11, 2030 - May 27, 2026Build AI Apps with ChatGPT, Dall-E and GPT-4
January 11, 2030 - May 27, 2026Databases and SQL for Data Science with Python
January 11, 2030 - May 27, 2026Data Science and Machine Learning
January 11, 2030 - May 27, 2026Exploratory Data Analysis for Machine Learning
January 11, 2030 - May 27, 2026Getting Started with Generative AI APIs
January 11, 2030 - May 27, 2026Basic Statistics
January 11, 2030 - May 27, 2026Prompt Engineering for ChatGPT
January 11, 2030 - May 27, 2026Industry Experience
Software & Internet, Financial Services, Education, Professional Services, Media & Entertainment
Skills
Experience Level
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