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Divyanshu Kumar UserDU
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Divyanshu Kumar User

@divyanshukumaruser

Backend and full-stack SDE building cloud-native event-driven systems and production ML/LLM pipelines at scale.

India
Message

What I'm looking for

I’m looking to build scalable, event-driven cloud systems and ship production LLM/ML pipelines end-to-end. I want a fast-moving team where I can own architecture, optimize reliability and cost, and turn experiments into dependable software.

I’m a backend and full-stack Software Development Engineer building production-grade, event-driven, cloud-native systems at scale, currently at Anakin (YC-backed). I’ve been a Meta × Hugging Face hackathon finalist (top 1.5% of 52k), and I trained multi-agent RL systems with GRPO.

At Anakin, I designed a cloud-based proxy management platform across AWS/GCP and third-party providers, improving performance and cost through ML-based proxy classification and auto-scaling. I also engineered AWS services handling 5M+ daily requests at 99.9% uptime and built high-throughput vendor pipelines delivering structured results to S3.

Earlier, as an ML intern at Rainforest.zone, I integrated IDM-VTON with Stable Diffusion and built FastAPI serving APIs that cut inference latency by 38%, plus semantic search via vector embeddings. I’m comfortable owning the full stack and shipping LLM-integrated pipelines, from first principles to production reliability.

Experience

Work history, roles, and key accomplishments

AN
Current

Software Development Engineer 1

Anakin

Sep 2025 - Present (9 months)

Designed and implemented a cloud-based, event-driven proxy management platform across AWS/GCP, using ML-based proxy classification to reduce operational overhead. Built event-driven AWS services handling 5M+ daily requests at 99.9% uptime, improving vendor discovery by 40% in high-volume regions and supporting 800k+ vendor processing with reliable orchestration to S3.

RA

Machine Learning Intern

Rainforest.zone

May 2024 - Jul 2024 (2 months)

Integrated IDM-VTON with Stable Diffusion to automate virtual try-on imagery generation across 5,000+ garment SKUs, eliminating manual photography for production catalogues. Developed and optimized FastAPI model-serving APIs, reducing average inference latency by 38%, and implemented semantic search using vector embeddings and cosine similarity to improve retrieval accuracy.

Education

Degrees, certifications, and relevant coursework

Indian Institute of Technology Delhi logoID

Indian Institute of Technology Delhi

Bachelor of Technology (B.Tech), Production and Industrial Engineering

2021 - 2025

Pursued a B.Tech in Production and Industrial Engineering at IIT Delhi from 2021 to 2025.

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