Vedika Gupta

Product Manager

Bengaluru, Karnataka, India11 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Led product for Aquata’s Data & AI Platform.
Built high-volume data ingestion pipelines.
Drove platform adoption contributing to 20%+ revenue impact.

Stackforce AI infers this person is a Fintech Product Manager specializing in AI and data infrastructure.

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Skills

Core Skills

Product ManagementAi Platform & Llm SystemsData Infrastructure

Other Skills

AI Product ManagementAPI Design & Developer ExperienceData Governance & Metadata ManagementData Infrastructure & Engineering ConceptsData PlatformsData Product ManagementETL & harmonizationExperimentation / A/B TestingGenerative AI / LLMsMachine Learning ProductsModel Context Protocol (MCP)Multi-tenant architecturePlatform StrategyProduct AnalyticsProduct Discovery & Customer Development

About

I’m a Technical Product Manager focused on 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 (MCP), 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

Experience

Arcesium

3 roles

Product Lead

May 2022 – Dec 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India

Product Manager

Promoted

Nov 2020 – Present · 5 yrs 4 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 ManagementData Product ManagementAI Product ManagementGenerative AI / LLMsModel Context Protocol (MCP)Product Analytics+15

Technical Lead

Nov 2020 – May 2022 · 1 yr 6 mos · Bengaluru, Karnataka, India

Sprinklr

Senior SDET

Aug 2018 – Oct 2020 · 2 yrs 2 mos · Bengaluru Area, 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.