AI Product & Automation Specialist
Siddhant Singh Rao
Engineering scalable AI systems that transform business operations.
AI Product & Automation Specialist
Engineering scalable AI systems that transform business operations.
Responsible AI & MLOps certified
Business × Engineering Alignment
Visualization & Strategic Insights
But is your technology structured to scale with it?
Most organizations struggle with:
I help companies architect intelligent systems — combining AI implementation, process automation, and product strategy to build scalable, secure, and future-ready operations.
From model validation to deployment, I specialize in practical MLOps and Responsible AI frameworks — not just experimentation.
Translating business opportunities into technical product requirements that engineering teams can execute efficiently.
Eliminating inefficiencies while ensuring systems remain scalable, auditable, and secure.
Bridging competitive analysis, market research, and engineering execution into unified product roadmaps.
Deploy AI systems responsibly and at scale.
Design intelligent systems that reduce operational overhead.
Align innovation with market opportunity.
Cognus TechnologyLeading AI research and product development for automation-focused initiatives.
Design and prototype AI agent workflows for business process automation — AI Calling Agent, AI Chatbot, AI Web App Testing Agent, AI SEO Agent.
Build and deploy LLM-powered systems on Google Cloud using Vertex AI, Cloud Run, and Cloud Functions, with monitoring and cost controls in place.
Research emerging AI capabilities (agent frameworks, RAG, MCP) and translate findings into structured product requirements engineering can execute.
Drive early-stage validation and experimentation to de-risk roadmap decisions before build commitments.
Google CloudHands-on specialization in:
Focused on deploying AI systems that are transparent, ethical, and production-ready.
TATADeveloped expertise in transforming complex datasets into actionable visual narratives.
Artificial Intelligence and ML
IIT Roorkee
Exploring governance frameworks that make production AI transparent and ethical.
Moving from notebook prototypes to robust, monitored production pipelines.
Structuring AI product roadmaps around real market signals and competitive gaps.
Building automated systems that scale gracefully without creating new bottlenecks.
Leveraging market data and competitor analysis to inform technology strategy.
Aligning product initiatives and technical capabilities with measurable business outcomes and scalable revenue generation.
I focus on structured deployment — model evaluation, governance, risk assessment, and scalable MLOps infrastructure — not just prototypes.
Yes. I specialize in translating business objectives into technical execution frameworks that engineering teams can implement clearly.
Yes. My background combines market research, competitive analysis, and technical requirement structuring — ensuring alignment across functions.
No. Early-stage companies benefit significantly when AI and automation are structured correctly from the beginning.
Let's design AI-driven solutions that are secure, measurable, and strategically aligned with your growth.