donapati sumanth
@donapatisumanth
ML Engineer building production GenAI systems at scale — from serverless inference pipelines to enterprise video/image generation workflows
What I'm looking for
I'm a Machine Learning Engineer with 3.5+ years specializing in production GenAI systems for image and video generation. At Segmind, I led infrastructure work that cut GPU costs by 90% while scaling to 250+ models serving 50K+ daily requests. I also developed revenue-critical workflows (faceswap, virtual tryon, comic generation) contributing ~30% of company revenue and served as solution architect for enterprise clients across verticals like NFT minting (500K+ requests), product photography, and e-commerce.
My technical focus includes serverless inference/training pipelines, model optimization (TensorRT), and full-stack ML deployment. Previously, I built medical imaging pipelines at Onward Health for cancer biomarker detection and automated cell counting. I enjoy the full spectrum from research prototyping to production systems and love working on problems that require both deep technical work and business impact thinking.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Segmind Inc
Sep 2023 - Present (2 years 5 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.
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.
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.
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.
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%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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