
Sudhanshu Passi
@sudhanshupassi
I build low-latency AI platforms, RAG pipelines, and real-time product backends from concept to scale.
What I'm looking for
I've built production-grade AI platforms across e-commerce, HR tech, and consumer AI at Embedia Independent AI Ventures, taking products from concept to market as a Lead AI Architect.
I engineered multi-agent AI backends, real-time APIs, PostgreSQL RAG pipelines, and streaming voice interfaces that delivered under-200ms conversational responses and sub-500ms voice latency. I also improved demand forecast accuracy by 50% through neural-network-powered data systems and automated market research and catalog creation with autonomous multimodal AI agents.
Previously at Vue.ai, I led the migration of 60+ AI-related microservices to Kubernetes and re-architected core data ingestion to reduce response times below 200ms. At Locale.ai, I built a high-throughput geospatial ingestion pipeline processing 5,000+ requests per second and helped launch a logistics analysis platform from scratch.
At CoWrks, I built core authentication, booking, social, and messaging services, delivered investor-facing AI/ML prototypes, and pioneered CI/CD automation for 20+ microservices. I enjoy bridging deep technical execution with user-centric product design while mentoring engineers into independent owners.
Experience
Work history, roles, and key accomplishments
• Delivered <200ms conversational AI responses by engineering a multi-agent backend with a real-time API, dynamic orchestrator, and PostgreSQL RAG pipeline.
• Achieved seamless sub-500ms voice latencies by architecting real-time streaming interfaces using open-source voice models and ElevenLabs for an automated HR interviewing platform.
• Increased demand forecast accuracy by 50% by engineering
• Enhanced reliability and uptime for a high-volume enterprise production environment by leading a migration of 60+ AI-related microservices to Kubernetes.
• Cut response times to <200ms and significantly increased platform flexibility by re-architecting the core data ingestion service for the platform.
• Enabled clients to build real-time geolocation dashboards of any city by architecting and building a logistics analysis platform from scratch in close collaboration with product and design.
• Processed 5,000+ req/sec from raw data into queryable geospatial data by building a high-throughput ingestion pipeline as the core data backbone.
• Uncovered critical insights like supply bottlenecks and
• Supported a tech team scaling from 8 to 60 by architecting and building keystone services (authentication, booking, social network, messaging).
• Secured a successful fundraising round by delivering investor-facing AI/ML prototypes (facial recognition, CCTV analysis) presented by the CTO.
• Boosted developer velocity and stability by pioneering the company’s first CI/CD pipeline (Jenkins), aut
Education
Degrees, certifications, and relevant coursework
Amrita Vishwa Vidyapeetham
Bachelor's degree, Computer Science and Engineering
2013 - 2017
Bachelor's degree in Computer Science and Engineering from Amrita Vishwa Vidyapeetham, Bangalore, from 2013 to 2017.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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