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Sugyani Manjari DashSD
Open to opportunities

Sugyani Manjari Dash

@sugyanimanjaridash

I build production-scale Generative AI, computer vision, and RAG systems for enterprise applications.

India
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What I'm looking for

I'm looking to build and deploy scalable AI solutions across Generative AI, LLMs, RAG, computer vision, and MLOps, with opportunities to own end-to-end systems and improve real-world enterprise outcomes.

At Neophyte Ambient Intelligence, I've deployed 25+ computer vision and Generative AI models for image classification, object detection, OCR, and automated content generation, improving accuracy and performance by up to 30%.

I've built enterprise RAG chatbots with Azure AI services, LangGraph, and LangSmith, reducing manual processing by 50%. I also designed 10+ scalable MCP servers for LLM, VLM, and OCR pipelines, reducing inference latency by 35% through load balancing, batch inference, health monitoring, and dynamic model loading.

I enjoy taking AI solutions end to end—from data preprocessing and feature engineering through model development, MLOps deployment, monitoring, and optimization. My work spans machine learning, deep learning, multimodal AI, vector databases, and automated workflows for scalable enterprise systems.

Experience

Work history, roles, and key accomplishments

NL
Current

Junior Data Scientist

Neophyte Ambient Intelligence Pvt. Ltd.

Jan 2025 - Present (1 year 7 months)

Researched, optimized, and deployed 25+ Computer Vision and Generative AI models, improving accuracy by up to 30%. Designed and deployed 10+ scalable MCP servers, reducing inference latency by 35%. Implemented 15+ ML/DL and GenAI solutions, increasing predictive accuracy by 20%. Built enterprise-grade GenAI chatbots with RAG, reducing manual processing by 50%. Streamlined MLOps workflows, accelera

Education

Degrees, certifications, and relevant coursework

Veer Surendra Sai University of Technology logoVT

Veer Surendra Sai University of Technology

Bachelor of Technology, Information Technology

2021 - 2025

Grade: 9.17 CGPA

Pursued Bachelor of Technology in Information Technology, achieving a CGPA of 9.17.

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