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poojitha paladuguPP
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poojitha paladugu

@poojithapaladugu

AI/ML engineer building production LLM, multimodal AI, and document intelligence systems

India
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What I'm looking for

I'm looking for a high-ownership AI/ML engineering role building production AI systems with LLMs, computer vision, and multimodal AI. I enjoy fast-paced startup environments, solving challenging problems, and shipping products with real user impact. I'm interested in generative AI, document intelligence, and AI-powered applications, and prefer building over maintenance.

AI/ML Engineer with 4+ years of experience building production AI systems across LLMs, computer vision, and document intelligence. Experienced in developing end-to-end solutions for financial and legal document processing, combining OCR, document layout analysis, table extraction, multimodal AI, and large language models. Skilled in deploying scalable AI pipelines using Gemini, Azure OpenAI, AWS Bedrock, and modern vision-language models, with expertise spanning model evaluation, prompt optimization, AWS deployment, and production-grade machine learning systems. Passionate about building reliable AI products that solve complex real-world business problems.

Experience

Work history, roles, and key accomplishments

AL
Current

AI/ML Engineer

Alphastream

Jun 2023 - Present (3 years 1 month)

Owned end-to-end production delivery of LLM pipelines for extracting structured data from credit agreements and legal documents, achieving 92%+ accuracy through prompt optimization reducing 30% manual effort. Built and deployed agentic RAG workflows with LangChain/LangGraph, Vespa vector search, and MCP integrations, and deployed vision/document layout models on AWS using Docker and Kubernetes.

AL

ML Engineer Intern

Alphastream

Jun 2022 - Jun 2023 (1 year)

Built scalable ETL pipelines to collect and process 3,500+ ESG company reports weekly for ML training datasets. Benchmarked vision-language models for document Q&A and implemented document classification and table extraction approaches using LayoutLMv3, DocFormer, Vision Transformers, Siamese Networks, and MAML.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Information Technology, Nagpur logoIN

Indian Institute of Information Technology, Nagpur

Bachelor of Technology, Computer Science Engineering

2019 - 2023

Grade: CGPA: 8.53

Activities and societies: Sports club, Cultural committee head

B.Tech in Computer Science Engineering (CGPA: 8.53) with coursework in machine learning, deep learning, Artificial Intelligence, computer vision, and natural language processing.

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