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Ankush Surana

@ankushsurana1

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AI/ML Engineer specializing in Generative AI and Deep Learning.

India

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What I'm looking for

I seek a collaborative environment that fosters innovation, where I can leverage my AI/ML skills to solve complex problems and contribute to impactful projects.

I am an AI/ML Engineer with a strong foundation in Generative AI, Large Language Models, and Deep Learning. My expertise extends to Computer Vision, Statistical Learning, and MLOps workflows. I have a proven track record in algorithm design and developing robust, enterprise-scale ML models using technologies such as Python, TensorFlow, and PyTorch.

During my tenure as an AI Engineer Intern at Uptiq AI, I engineered LLM-powered AI agents for financial workflows, fine-tuning domain-specific LLMs and building scalable backend modules. My experience at SRG Technology as an Associate Software Engineer allowed me to develop high-performance C++ modules, significantly enhancing data processing speeds and reducing material waste in manufacturing workflows.

Experience

Work history, roles, and key accomplishments

Associate Software Engineer

SRG Technology

Jul 2022 - Jun 2023 (11 months)

Developed and maintained high-performance C++ modules for AUTOCAD-based laser cutting software, contributing to backend automation and real-time data integration in manufacturing workflows.

Integrated Vulkan API into core C++ modules using optimization techniques and system design principles to optimize laser-cutting workflows.

C++ Programming C++

AI Engineer Intern

Uptiq AI

Jan 2025 - Present (1 year 5 months)

Engineered LLM-powered AI agents for financial workflows on Uptiq’s No-Code/Low-Code platform, utilizing RAG pipelines, verticalized workflows, and domain-specific integrations to enable intelligent, scenario-based automation. Fine-tuned 5+ domain-specific LLMs on OpenAI platforms structured datasets; built scalable Python backend modules, React UI components, and RESTful APIs to support real-time

LLM Python React RESTful APIs Agentic AI Backend Development UI Components Automation

Education

Degrees, certifications, and relevant coursework

IMED, Bharati Vidyapeeth University

MCA, Computer Application

Grade: 9.16 CGPA

Completed a Master of Computer Applications, focusing on advanced topics in computer science. Achieved a strong academic record with a CGPA of 9.16.

Lucky Institute of Professional Studies

BCA, Computer Application

Grade: 9 CGPA

Earned a Bachelor of Computer Applications, building foundational knowledge in computer science. Maintained a high academic standing with a CGPA of 9.