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Divesh KashyapDK
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Divesh Kashyap

@diveshkashyap

Software Development Engineer building scalable AI pipelines and performant web experiences.

United Kingdom
Message

What I'm looking for

I’m looking to build and ship production-grade AI systems—multimodal generation, scalable microservices, and responsive UIs—where I can lead technical design, optimize performance/CI-CD, and collaborate to deliver measurable impact.

I’m a Software Development Engineer focused on shipping production-grade AI systems, especially multimodal workflows. At Nannie AI, I integrated Vertex AI and Gemini to automate video and image generation, cutting content production time by 40% and enabling coherent AI-generated videos up to 2.5 minutes.

I design scalable backend services and data pipelines with an emphasis on reliability and performance. I built asynchronous processing with Redis and Celery (reducing duplicate AI executions by 40%), added caching to reduce redundant API calls by 30%, and reworked Kafka streams to cut processing latency by 70% while improving event-driven reliability.

I also care deeply about operational excellence and user experience. I improved availability with logging/metrics/alerting, streamlined CI/CD (doubling deployment speed), and kept UIs responsive using React Query and list virtualization for datasets beyond 10,000 records—while delivering measurable engagement gains from analysis of 50+ videos each month.

Experience

Work history, roles, and key accomplishments

NA
Current

Software Development Engineer

Nannie AI

Jan 2025 - Present (1 year 5 months)

Integrated Vertex AI and Gemini into a multimodal workflow for automated video and image generation, cutting content production time by 40%. Designed a video orchestration framework and implemented Redis/Celery async processing with caching and WebSockets, reducing duplicate executions by 40%, redundant API calls by 30%, and failures by 10%.

MT

Software Development Engineer

Mountblue Technologies

Oct 2023 - Dec 2024 (1 year 2 months)

Engineered 25+ scalable REST APIs in Django using optimized ORM queries and efficient database operations. Reworked Kafka data streams to reduce processing latency by 70%, introduced Redis caching for 100K+ daily requests (150ms faster, 40% less DB load), and built distributed Scrapy pipelines processing 10M+ restaurant records.

Education

Degrees, certifications, and relevant coursework

Lovely Professional University logoLU

Lovely Professional University

B.Tech in Computer Science, Computer Science

2020 - 2024

Completed a B.Tech in Computer Science at Lovely Professional University from 2020 to 2024.

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