Open to opportunities

donapati sumanth

@donapatisumanth

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Machine Learning Engineer specializing in AI model deployment and optimization.

India

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, where I can apply my skills in machine learning and AI to solve real-world problems while continuing to grow professionally.

I am a Machine Learning Engineer with hands-on experience in training, deploying, and maintaining AI models at scale. My expertise lies in bridging cutting-edge research with practical, production-ready solutions. I am passionate about building impactful systems and continuously evolving with the latest advancements in generative and applied AI.

At Segmind Inc, I build and deploy generative AI workflows to address real-world industry use cases, developing serverless APIs for inference of generative models. My previous role at Onward Health involved creating a production-grade segmentation model for breast cancer detection and optimizing models for clinical trials. I thrive on collaboration, working closely with clients to deliver custom AI solutions tailored to their needs.

My academic background in Mechanical Engineering, combined with my practical experience, equips me with a unique perspective on problem-solving in the tech space. I am committed to leveraging my skills to contribute to innovative projects that make a difference.

Experience

Work history, roles, and key accomplishments

Current

Machine Learning Engineer

Current

Segmind Inc

Sep 2023 - Present (1 year 10 months)

Built and deployed generative AI workflows to address real-world industry use cases. Developed and maintained serverless APIs for inference of generative models and training pipelines for models like Flux and SDXL.

Generative AI Serverless Diffusion Models Technical Support

Machine Learning Engineer

Onward Health

Jun 2022 - Aug 2023 (1 year 2 months)

Built a production-grade segmentation model to detect PD-L1 expression in breast cancer WSIs. Developed a blood cell counting pipeline using object detection and instance segmentation.

Segmentation Object Detection

Machine Learning Research Intern

Onward Health

Jan 2022 - Jun 2022 (5 months)

Prototyped a CNN-based tumor heatmap model (89% accuracy) and visualized tumor regions on Whole Slide Images to assist pathologists in early diagnostics. Curated training data for PD-L1 segmentation by extracting tumor regions from large histopathology WSIs.

CNN Tumor Heatmap Data Curation

Data Science Intern

Sophos Knowledge Services

Nov 2021 - Jan 2022 (2 months)

Explored ML approaches for cost prediction in the project Machining Price Estimation using Blueprints. Wrote eight technical blogs on data science topics for the company’s knowledge platform.

Machine Learning Cost Estimation Technical Blogging Data Science Kaggle

Education

Degrees, certifications, and relevant coursework

ICFAI University

B.Tech, Mechanical Engineering

Grade: 9.4/10

Studied Mechanical Engineering, gaining a strong foundation in engineering principles and problem-solving. Achieved a high academic standing with a CGPA of 9.4/10.

Toppers Junior College

Intermediate, General Studies

Grade: 95.1%

Completed intermediate education at Toppers Junior College, focusing on core subjects and achieving a strong academic performance. Graduated with a percentage of 95.1%.