Hi, I'm Divya Guruswamy, an AI Software Engineer with extensive experience building, optimizing, and deploying cutting-edge generative AI, deep learning, and machine learning solutions for enterprise applications. I have a proven track record across multi-agent GenAI architectures, computer vision, and NLP, and I love turning complex data problems into practical, scalable systems. In my recent roles, I have led cross-functional teams to deliver high-impact features, designed end-to-end data extraction pipelines and no-code automation platforms, and built AI-driven email triage and retrieval systems that improve processing speed and operational capacity. I enjoy mentoring teams, shipping production-grade solutions with robust testing and CI/CD, and continuously exploring new approaches to deploy AI at scale.

Divya Guruswamy

Hi, I'm Divya Guruswamy, an AI Software Engineer with extensive experience building, optimizing, and deploying cutting-edge generative AI, deep learning, and machine learning solutions for enterprise applications. I have a proven track record across multi-agent GenAI architectures, computer vision, and NLP, and I love turning complex data problems into practical, scalable systems. In my recent roles, I have led cross-functional teams to deliver high-impact features, designed end-to-end data extraction pipelines and no-code automation platforms, and built AI-driven email triage and retrieval systems that improve processing speed and operational capacity. I enjoy mentoring teams, shipping production-grade solutions with robust testing and CI/CD, and continuously exploring new approaches to deploy AI at scale.

Available to hire

Hi, I’m Divya Guruswamy, an AI Software Engineer with extensive experience building, optimizing, and deploying cutting-edge generative AI, deep learning, and machine learning solutions for enterprise applications. I have a proven track record across multi-agent GenAI architectures, computer vision, and NLP, and I love turning complex data problems into practical, scalable systems.

In my recent roles, I have led cross-functional teams to deliver high-impact features, designed end-to-end data extraction pipelines and no-code automation platforms, and built AI-driven email triage and retrieval systems that improve processing speed and operational capacity. I enjoy mentoring teams, shipping production-grade solutions with robust testing and CI/CD, and continuously exploring new approaches to deploy AI at scale.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Lead Software Developer at Deel EOR Private Limited (UpQuAI Solutions AG)
January 1, 2024 - Present
Led a cross-functional team of full-stack and data engineers to deliver high-impact enterprise features aligned with business growth goals. Architected an end-to-end Intelligent Data Extraction System for automated invoice processing, integrating a contextual keyword-and-reasoning model to identify and categorize invoiced line items for payout processing. Optimized the data-extraction and classification pipeline to process multi-page documents in under 60 seconds, reducing customer processing time by 87%. Designed an Enterprise Workflow Automation Platform featuring a no-code workflow builder, user-action recorder, and agent deployment application, enabling parallel AI agents for claim management and contract tasks, accelerating processing times and scaling capacity by 6x. Built an AI-driven email triage and retrieval platform capable of classifying, routing, and drafting context-aware responses, with a chat interface to search across historical emails.
Deep Learning Engineer at Conxai
June 1, 2022 - December 1, 2023
Developed a Tree-based hierarchical LSTM for advanced video reasoning and activity recognition in high-risk construction environments. Implemented a dynamic model-building and weight-loading pipeline enabling real-time configurability via a no-code platform. Trained and optimized Graph Neural Networks (GNN) and seq2seq LSTM models to perform robust multi-object ReID and cross-camera tracking, driving a 15% increase in operational model performance. Built a deep neural network for structural image relation detection using TorchScript, reducing latency by 10% and decreasing developer onboarding time by 42%.
Product Engineer – Data Science at Euphonious Innovations Private Limited
January 1, 2021 - June 1, 2022
Fine-tuned industry-standard Detectron2, CascadeTabNet, and TableNet models on targeted customer datasets to accurately isolate regions of interest within complex, unstructured enterprise documents. Designed an end-to-end tabular data extraction pipeline featuring intelligent column header identification and dynamic column separation boundaries. Implemented a robust evaluation framework leveraging ROUGE-L and BLEU scores to benchmark and monitor the structural accuracy and textual quality of extracted tabular data. Trained a multi-class Naïve Bayes classifier enhanced with domain-specific word embeddings for the efficient classification and automated clustering of technical word aliases.

Education

MS in Electrical Engineering and Information Technology at ETH Zurich
January 1, 2018 - January 1, 2020
BE in Electronics and Communication at BMS College of Engineering
January 1, 2014 - January 1, 2018

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Media & Entertainment

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
See more

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