Saahil Pandya

Product Manager

Ahmedabad, Gujarat, India1 yr 10 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in architecting AI-driven SaaS solutions.
Led development of multi-agent AI platforms.
Reduced documentation time by 70% with innovative workflows.

Stackforce AI infers this person is a SaaS-focused AI architect with expertise in backend systems and product development.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Ai AgentsNlpProduct Planning

Other Skills

AI Agent ArchitectureAgno FrameworkCustom tool integrationVector DatabasesRAGSentiment analysisText summarizationWorkflow automationReact.jsGenerative AIAmazon Web Services (AWS)IT Service ManagementPyTorchPandas (Software)NumPy

About

Passionate about building at the intersection of product and artificial intelligence. In my role at Motadata, I have the unique opportunity to own our AI vertical. My work focuses on the end-to-end architecture and development of next-generation AI features for our B2B SaaS platform. This has included architecting "AI Studio," a multi-agent platform, and engineering "Knowledge Collections," a state-of-the-art RAG system to provide contextual knowledge to our AI agents. I thrive on solving complex engineering challenges and turning ambitious AI concepts into production-ready realities. Key Technologies: ▸ AI Agent Architecture, RAG, Vector Databases, NLP ▸ Python, Java, Spring, Django ▸ React, HTMX, Django Channels, Redis

Experience

Motadata

2 roles

Associate Product Analyst

Jun 2024 – Present · 1 yr 10 mos · Ahmedabad · On-site

Acted as the sole technical owner and Single Point of Contact (SPOC) for all AI engineering, driving strategy from concept to production for the Motadata ServiceOps platform.
Architected, designed, and led the development of "AI Studio," a multi-agent AI platform for ITSM, leveraging the Agno Framework for AI agent orchestration and custom tool integration.
Owned the complete project lifecycle for "AI Studio," from initial POC and system design to feature engineering and commercial licensing strategy.
Engineered "Knowledge Collections," a state-of-the-art RAG system built on a vector database to provide contextual, private knowledge to AI agents.
Deployed the "AI Text Intelligence" suite, integrating NLP models for sentiment analysis, text summarization, solution generation, and response correction.
Developed Numina, an internal multi-AI agent workflow that ingests product context to autonomously generate high-quality PRDs and user stories, reducing documentation time by 70%.

Artificial Intelligence (AI)AI Agents

Product Analyst Intern

Jan 2024 – May 2024 · 4 mos · Ahmedabad · On-site

Conducted technical analysis of competing ITSM platforms to identify feature gaps, translating findings into actionable feature roadmaps.
Created mock workflows and engineering prototypes to validate and demonstrate new automation features prior to development.

Artificial Intelligence (AI)Product Planning