POOJA MAAN
Bengaluru
Summary
AI Engineer with 5+ years of experience building production-grade GenAI and AIOps systems, including LLM-based RAG pipelines, intelligent agents, and autonomous decision workflows. Strong expertise in end-to-end AI system design, optimization, and enterprise deployment.
Overview
6
6
years of professional experience
1
1
Certification
Work History
AI Engineer
IBM
07.2025 - Current
- Built enterprise GenAI agent for unified semantic search and real-time answers across internal data sources using Auto-RAG. Designed end-to-end ingestion pipeline, including semantic chunking, embeddings, and indexing with Milvus and FastAPI; deployed on IBM Code Engine.
- Architected AI-assisted autonomous operations platform that transforms raw network alerts into context-aware decisions and closed-loop remediation actions using event-driven microservices, intelligent enrichment, and decision workflows similar to RAG-style retrieval and inference.
- Designed and delivered production AI systems across GenAI (RAG/LLMs) and autonomous operations (AIOps).
AI/ML Engineer (Customer Experience Engineer)
Cisco Systems
08.2020 - 07.2025
- Designed GenAI assistants using LLMs, LangChain, and RAG pipelines, improving support insights and boosting customer satisfaction by 20%.
- Built and deployed ML and NLP models for issue classification, feedback prediction, and ticket routing, reducing manual resolution time by 30–40%.
- Delivered end-to-end ML pipelines (data prep → model → API → cloud deployment via FastAPI/GCP) to meet engineering and product requirements.
- Mentored team members and collaborated cross-functionally on GenAI integration and ethical AI use, fostering knowledge sharing and scalable deployment practices.
Customer Experience Intern
Cisco Systems
01.2020 - 06.2020
- Automated configuration validation for Cisco CUBE environments, enhancing reliability through Python scripting and REST-based data checks.
- Achieved CCNA and DevNet Associate certifications, demonstrating commitment to professional development during internship.
Education
M.Tech - Data Analytics
National Institute of Technology, Tiruchirappalli
Tamil Nadu, India06-2020
B.Tech - Information Technology
Guru Gobind Singh Indraprastha University
Delhi, India06-2018
Skills
- Programming Languages: Python, SQL, C, JavaScript
- ML&AI: Scikit-learn, PyTorch, SpaCy, TensorFlow, Keras, XGBoost, OpenCV
- NLP & GenAI: NLTK, HuggingFace, Transformers, LangChain, LLMs, Prompt Engineering, RAG, LOK, Agentic AI, Agents, LangGraph, FAISS, Pinecone
- MLOps & Deployment: FastAPI, Streamlit, Docker, Git, MLflow, REST APIs, Kubernetes
- CI/CD Data & Analytics: Pandas, NumPy, Feature Engineering, Power BI, NoSQL
- Cloud Platforms: GCP, AWS
- Other Tools: Neo4j, Postman, Jupyter, VS Code
PROJECTS
Intelligent Customer Support Chatbot: Developed a Streamlit based chatbot using LangChain and large language models to simulate real customer interactions, improving engineer training efficiency by 30%. Created a RAG application with vector DB and GPT-4 for the LLM call. Integrated Sentence Transformers for real-time similarity analysis and dynamic conversation management. This enabled the creation of realistic training scenarios, helping new engineers improve their response accuracy and customer handling skills.,
Generative AI-Driven Customer Insights Platform: Developed a feedback analysis tool using FastAPI, React, and LangChain for prompt engineering, integrating Large Language Model (LLMs) to generate actionable insights from customer feedback, reducing manual analysis time by 40%. Designed a dynamic frontend to display AI-driven recommendations and issue analysis, empowering leaders with real-time insights, improving customer satisfaction by 20%, and deploying the solution to the cloud for scalability and seamless access.,
High Propensity Account Identification for POS Attachment: Performed data preprocessing and feature engineering to identify high propensity accounts for Point of Sale (POS) attachment, focusing on accounts with strong conversion potential but no current POS. Applied machine learning models to predict the likelihood of POS attachment, optimizing targeting strategies and driving a significant increase in POS attachment rates.
RESEARCH & PUBLICATIONS
Identification of Online Auction Bidding Robots Using Machine Learning: International Conference on Evolutionary Computing and Mobile Sustainable Networks 2020. Selected as Lecture Notes on Data Engineering and Communications Technologies and as a chapter in book Evolutionary Computing and Mobile Sustainable Network.
Certification
- Cisco Certified Network Associate (CCNA)
- Cisco Certified Network Professional - Collaboration (CCNP)
- Cisco Certified DevNet Associate
Languages
English
Advanced (C1)
C1
Hindi
Native
Native
Timeline
AI Engineer
IBM
07.2025 - Current
AI/ML Engineer (Customer Experience Engineer)
Cisco Systems
08.2020 - 07.2025
Customer Experience Intern
Cisco Systems
01.2020 - 06.2020
M.Tech - Data Analytics
National Institute of Technology, Tiruchirappalli
B.Tech - Information Technology
Guru Gobind Singh Indraprastha University