Sachin Jain
I shape products, design systems, and turn AI into usable experiences.
Technical Product Manager building AI-native products and scalable systems.
A career shaped by systems, and product judgment.
Building across engineering, delivery, and product thinking.
Exploring AI Capabilities and How They Fit into Building Products
Hands-on work across retrieval, agents, and workflows to understand what AI can do and how it can be applied in real product experiences.
What I’ve used
What I’ve learned
What I doing next
From system thinking to product execution
The next scene moves from how I operate to what I build.
A collection of work, ideas, and experiments
Building to understand, evaluate, and apply ideas in real-world contexts.
Testing ideas against real use, beyond theoretical potential.
Rangbheeni
A brand and storytelling website for an NGO that upcycles pre-loved clothes into new products, supports livelihoods for marginalized women, and connects craft with climate-conscious impact.
Opportunity
The challenge was to create a website that represented more than products alone. It needed to communicate the NGO’s deeper purpose clearly: upcycling pre-loved clothing, creating dignified work for marginalized women, and linking that work to a broader climate-positive impact story.
Approach
The website introduces the NGO’s mission, showcases its work and products through a fabric-inspired visual language, and guides visitors toward learning more, engaging with the organization, and submitting information through simple integrated form flows.
Highlight
Translated the NGO’s mission into a fabric-led digital identity and interaction system.
Balanced storytelling, social credibility, and lightweight delivery for a small organization.
Used low-cost tooling and hosting decisions to keep the solution practical and maintainable.
Reflection
This project reinforced that good technical decisions are not only about capability, but also about fit. For mission-driven organizations, clarity, affordability, and maintainability can matter more than heavier infrastructure. The work also showed how motion and interface texture can strengthen trust when they are grounded in the organization’s real identity.
Prep Room
Prep Room is an AI-powered interview preparation system designed to help users build clear, structured, and credible answers through guided workflows rather than one-off responses.
Opportunity
Interview preparation is usually fragmented across notes, documents, and generic chat threads. That makes answers harder to refine and harder to reuse.
Approach
Users work through answers, save stronger material, and build a structured base of moments and playbooks that can be reused across interview scenarios.
Highlight
Refines interview answers through iterative coaching instead of one-shot generation.
Captures career moments and reusable answer material in one evolving system.
Reduces context switching between notes, chat, and preparation documents.
Reflection
The product became a good test of how AI feels when it is embedded into a workflow instead of acting like a single detached chat box. Contract-based communication improves reliability between agents
Immersive Yatra
AI-powered road trip planner for building detailed multi-day travel plans with structure, flexibility, and practical routing in mind.
Opportunity
The challenge was to create something that organize routes, timing, and stops into a single flow but leave room for personalization.
Approach
User shares the trip intent and system shall transform it into structured, multi-day planning with more useful pacing, organization, and itinerary detail but still leave a room for user's own customization.
Highlight
Transforms rough travel intent into structured day-by-day planning.
Balances route flow, trip pacing, and richer itinerary detail.
Built as a usable AI product experience, not just a prompt wrapper.
Reflection
AI outputs improve when the prompt aligns with intent rather than over-specifying behavior. Too much constraint reduces usefulness, while the right level of openness improves outcomes.
Personal Research Agent
A focused research assistant designed to synthesize insights across selected papers and material
Opportunity
Research material is scattered across multiple papers and it is time-consuming to extract and connect key insights.
Approach
Documents are processed and stored in a FAISS vector database. Relevant sections are identified based on the user query. Retrieved content is processed to generate clear, grounded outputs
Highlight
Supports retrieval, ranking, and synthesis over private source material.
Designed around deeper research workflows rather than simple Q&A.
Represents a stronger AI-systems layer in the portfolio.
Reflection
Chunking strategy and token usage must be balanced — too little context reduces quality, while too much increases cost without better results.
Rangbheeni
A brand and storytelling website for an NGO that upcycles pre-loved clothes into new products, supports livelihoods for marginalized women, and connects craft with climate-conscious impact.
Skills, systems, and tools in my stack.
This section combines how you think with what you use, so it grows naturally as your work evolves.
A continuous view of learning
What I’m learning, in practice and in motion. A mix of certifications, ongoing study, and papers that shape how I think and build.
Certifications
Learning Themes
Read Archive
Open for the next build
See Something, Say Something.
Explore my work, or reach out to connect...
Code, experiments, and public repositories.
Professional profile and career history.
Writing, notes, and thought pieces.
Problem-solving and coding practice.
Direct contact.
Let’s turn ideas into product.
Open to conversations around product, systems, and AI-driven applications.