Turning ambiguous problems into shipped AI products.
I sit at the intersection of engineering, strategy, and customer outcomes — translating fuzzy business needs into AI-first platforms that ship. Over the last 5+ years I've led LLM integrations, RAG pipelines, agentic workflows, and API-driven systems for Fortune 500 ops teams, always prototyping fast and iterating with real users. I'm currently co-inventing a patent-pending 5-layer multi-agent AI platform with my CTO, hold an M.Eng in Engineering Management from Cornell (3.88 GPA, full merit scholarship), and am pursuing a DBA at Westcliff focused on corporate strategy.
What I do offline.
Traveling fuels my curiosity — new landscapes, cultures, and perspectives that keep me thinking like a beginner.
Explore the work.
Real workflows, real nodes.
These automations run in production inside the Global Trade Platform — cron jobs, Jira and Freshservice syncs, and a RAG-powered BRD scanner. Each shows its actual node pipeline.
Website Watcher
● LIVEMonitors website health across GTP client environments. Add URLs, crawl every linked page, detect down pages and broken links. Runs on a scheduled cron and surfaces reports with flagged links for the delivery team.
Open live app ↗DPS Enhancement Pulse
● LIVEPipeline pulse for DPS enhancements built for leadership. Pulls tickets from Jira and Freshservice from Jan 2025 onward, computes backlog health, monthly flow, and release-train mapping, with searchable ticket catalogs.
Open live app ↗LW Diagnostics
● LIVESelf-serve device diagnostics web app that runs an in-browser health check across battery, network, sensors, and storage. Generates a shareable report agents attach to claims — cutting back-and-forth on no-fault-found returns.
Open live app ↗Product Request Status (Intake)
● LIVEA single portal to look up product intake requests — status, timing, linked Jira updates, and stakeholder comments in one place. Replaces scattered email threads and manual Jira checks for request submitters.
Open live app ↗Start with the failure mode
Most PMs ask 'what should the AI do?' I ask 'what happens when it's wrong?' In regulated domains like insurance and healthcare, wrong answers are compliance violations, not bad UX. Designing guardrails IS the product work.
Trust is the product
In regulated environments, adoption flips the moment a human stays in control. My Traceability agent only took off once I added the sign-off loop. Agents do the heavy lifting; people make the call with a visible audit trail.
Prototype to persuade
A working demo beats any deck. I use Lovable, v0, and Claude tooling to turn abstract LLM orchestration into interactive products — which is how I've secured executive sponsorship for AI-first initiatives.
The mental models I ship with.
Battle-tested PM patterns from regulated-domain AI work. Each one earned its spot by surviving production.
What teams I've shipped with say.
I never had any doubt you would lead the team to a successful solution. Now let's test and test and test in live through the customer's eyes. THANKS — I appreciate everything you have done on this project.
Nikhar, thank you very much for the kind words. It gives me immense pleasure to see you grow and blossom as a top-notch product manager. Best wishes — you have a bright future ahead.
Rock and roll!!! You did a magnificent job! Onward and upward 💪
I'm especially grateful to Nikhar Jain, who took on this program from day one and steered it through to launch with positivity, persistence, and leadership. She's demonstrated what sets Likewize apart — our ability to deliver at scale, innovate around the customer journey, and raise the bar in our industry.
Congratulations! You have worked so hard and have done an amazing job of navigating this. We are lucky to have you!!
Appreciate your comments and after all the work you've supported us on — keep delivering for us locally and the firm as a whole!
You have been amazing again Nikhar — looking forward to celebrating next week ❤️
Foundations & toolkit.
Westcliff University
Cornell University
Mody University
The questions you're actually asking.
Straight answers — fit, depth, timing, logistics.
Let's build something
that actually ships.
Open to AI Product Manager roles at ambitious companies.
nj222@cornell.edu · +1 (607) 595-8222 · Irving, TX