Prarthana Poojara
AI Engineer @ LTM
About
I build AI systems that work in production — not just demos. As an AI Engineer at Microsoft (via LTIMindtree), I design and deploy RAG-based architectures, agentic pipelines, and enterprise chatbot solutions on Azure Cloud. My work has supported migrations for Fortune 500 companies including 7-Eleven, Exelon, and Westcon, across industries like energy, retail, and government. My core focus areas: → Retrieval-Augmented Generation (RAG): hybrid retrieval, reranking, dense + sparse fusion → Agentic AI: multi-agent orchestration using AutoGen and agentic frameworks → Azure AI ecosystem: OpenAI, AI Search, CosmosDB, Neo4j integrations → LLMOps: deployment, evaluation, and observability for scalable LLM systems I approach AI engineering with a systems mindset — I care about latency, failure modes, and what happens when things break at scale. Beyond my day job, I actively build and write: • Technical blog on GraphRAG, vector databases, and LLM system design (7,000+ internal reads at LTIMindtree) • Regular speaker on Azure AI and agentic frameworks (500+ attendees per session) 📌 Azure AI-102 certified | MSc Computer Science, Syracuse University 📌 Open to connecting with engineers, researchers, and teams pushing the frontier of applied AI.
India
Bengaluru
Information Technology & Services
Retrieval-Augmented Generation (RAG), Large Language Model Operations (LLMOps), Large Language Models (LLM), Agentic AI Development, Prompt Engineering, Vector Databases, System Design, Pinecone.io, Neo4j, autogen, Machine Learning, Neural Networks, Vector databases, Natural Language Processing (NLP), Database Management System (DBMS), Git, Image Segmentation, Convolutional Neural Networks (CNN), Data Visualization, Computer Science
Experience
AI Engineer
LTM
Bengaluru
AI Engineer (Vendor at Microsoft via LTIMindtree) Deployed customized RAG-based AI accelerators (GPT RAG, Agentic RAG, ZTA RAG) for enterprise chatbot migration to Azure Cloud, enabling seamless transitions for Fortune 500 companies including 7-Eleven, Exelon, Westcon, Government of Yukon, etc. based on specific business use cases. Supported the Microsoft Customer Accelerate Factory by optimizing chatbot architecture, improving deployment efficiency across 10+ large-scale implementations. Earned Azure AI-102 certification, validating proficiency in deploying AI solutions on Azure.
Associate Data Scientist
LTM
Bengaluru
Expanded database capabilities of internal chatbot Cognisight by integrating Neo4j and CosmosDB, improving information retrieval speed by 30%; leveraged Azure OpenAI for prompt engineering, fine-tuning, and validation in a 15+ member team. Delivered technical Azure consulting to Capricorn Bank (South Africa), streamlining cloud-based architecture support as part of the Azure CoE. Engineered an optimization solution for REV (Automobile Company), reducing material waste by 18%, directly improving production efficiency. Designed and published a GraphRAG PoC and authored a technical blog, garnering 7,000+ internal reads across global LTIMindtree offices and receiving cross-departmental recognition. Led 3+ company-wide tech talks on Azure functionalities and agentic frameworks (AutoGen), engaging 500+ attendees per session, significantly elevating internal AI knowledge sharing. Developed backend systems for NewsInfoBot (internal accelerator) and Crew360 (financial chatbot), later adopted in a PoC for Citizens Bank (US). Built a backend solution for an HR tool, Resume Search App, streamlining interview processes for internal/external hiring, impacting 100,000+ applicants across India.
Data Science Intern
LTM
Bengaluru
• Implemented vector databases to optimize data storage and retrieval, resulting in a 20 percent reduction in query response time. • Authored a comprehensive white paper detailing applications and benefits of knowledge graphs as a service, was later leveraged for knowledge dissemination within organization and as a resource for clients. • Boosted Data Insights by 10 percent as compared to baseline models by Performing Image Similarity Searches for Graph Classification. Enhancement facilitated quicker identification of key data patterns within dashboards, aiding in data-driven decision-making.
ADCS and Payload Intern
Transcend Satellite Technology
Bengaluru, Karnataka, India
• Selected as a part of ITCA 75 Student Satellite Program initiated by Government of India. • Researched for over 10 CubeSat components and ideas for operations after launch. • Interacted and collaborated with over 3+ overseas clients to gather satellite components and system requirements.
Education
Syracuse University
Computer Science
Coursework: Design and Analysis of Algorithms Introduction to Data Science Operating Systems Computer Architecture Object Oriented Design Structured Programming and Formal Methods Introduction to Machine Learning Artificial Neural Networks Database Management System Internet of Things
B. M. S. College of Engineering
Aerospace Engineering
Introduction to C Programming Introduction to AI -- elective course Advanced Aerodynamics Thermodynamics Fluid Mechanics Solid Mechanics Aircraft Systems, Avionics and Instrumentation Materials For Aerospace Engineering
Prarthana Poojara's Contact Information
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