Headline

Product Manager | Data & AI Platform

About

I’m a Product Manager focused on Data Platform, ML Infrastructure, and AI Systems — building the core layers that help engineering and ML teams ship faster, safer, and at scale. Currently at Arcesium, I lead product for Aquata’s Data & AI Platform, owning initiatives across multi-model orchestration, multi-tenant architecture, high-volume data ingestion, and LLM/Agent system integrations. 🧩 What I specialize in Platform & Infra PM: Routing layers, auth, multi-tenant scaling, autoscaling AI Platform & LLM Systems: Orchestration, agent frameworks, evals, retrieval workflows Data Infrastructure: ETL & harmonization at 10M+ records/day scale Developer Experience: SDKs, API UX, CI/CD, integration tooling Technical problem-solving: translating complex infra challenges into clear, shippable products 🚀 Key Impact Built Aquata’s MCP Server — multi-model orchestration with tools, routing, and extensible components for enterprise LLM workloads Designed & scaled ingestion pipelines powering millions of daily records across diverse financial datasets Drove platform adoption + PLG motion, contributing to 20%+ revenue impact Delivered secure, reliable platform primitives with clear SLAs in partnership with engineering, ML, and infra teams

Location

Bengaluru

AI stack

claude code

claude

gemini

hugging face

lovable

ChatGPT

Work experience

Product Manager at Arcesium, Nov 2020 - Present · 5 yrs 10 mos, Bengaluru, Karnataka, India, I lead product for Arcesium's Data Platform, driving the roadmap for platform infrastructure, multi-model orchestration (MCP), high-scale data ingestion, and GenAI-powered workflows used by investment management teams across global clients. 🚀 Key Impact & Responsibilities • Owned the roadmap for Aquata’s MCP Server Spearheaded Aquata’s multi-model orchestration layer, enabling LLMs, agents, and tools to securely interact with customer data. Delivered: – unified API for LLM/Agent workflows – multi-tenant routing, auth, and extensibility – 2× faster contextual insights for end users • Built & scaled high-volume ingestion pipelines Partnered with data engineering to scale ETL pipelines ingesting 10M+ records/day, enabling faster onboarding and higher data quality. • Shipped GenAI assistants & contextual AI workflows Collaborated with ML teams to design, evaluate, and integrate GenAI assistants into Aquata; improved time-to-insight by 50% for investment workflows. • Delivered data intelligence & discovery features Introduced LLM-powered semantic search, schema intelligence, and metadata enrichment to improve discoverability and governance across datasets. • Drove platform adoption and PLG initiatives Defined self-serve activation flows, reduced onboarding friction, and increased user adoption by 20% through product-led growth strategies. • Improved core platform metrics Worked across engineering, ML, infra, and go-to-market to improve activation, retention, data freshness, and customer time-to-value.

Product Lead at Arcesium, May 2022 - Dec 2023 · 1 yr 8 mos, Bengaluru, Karnataka, India

Technical Lead at Arcesium, Nov 2020 - May 2022 · 1 yr 7 mos, Bengaluru, Karnataka, India

Senior SDET at Sprinklr, Aug 2018 - Oct 2020 · 2 yrs 3 mos, Bengaluru, Karnataka, India, Contributed to Sprinklr’s enterprise advertising systems by automating multi-channel ad workflows. - Partnered with PM and data teams to improve reliability and telemetry for scaled campaigns. - Developed test automation and validation frameworks to accelerate release speed.

Senior SDET at Treebo Hotels, Apr 2018 - Jul 2018 · 4 mos, Bangalore, India

Senior System Engineer at Siemens Technology India, Feb 2017 - Apr 2018 · 1 yr 3 mos

Software Engineering Analyst at Accenture, Sep 2014 - Jan 2017 · 2 yrs 5 mos, Bengaluru, Karnataka, India

Public links

github: https://github.com/vedika2609

medium: https://medium.com/@vedika26gupta