AI hiring & career platform
HulChul
Product engineering across matching, job ingestion, the Raj career agent, analytics, and production operations.
Visit live product
AI product & platform engineering studio
Techly Assist partners with founders and innovation teams to turn ambiguity into reliable AI products and platforms—built for real users, designed to scale, and ready for production.
Selected work
AI hiring & career platform
Product engineering across matching, job ingestion, the Raj career agent, analytics, and production operations.
Visit live product
Evidence-led intelligence platform
Team contributions spanning product architecture, insight workflows, evidence review, platform reliability, and governed delivery.
Visit live product
AI education & coding environments
Platform delivery across interactive learning, browser-based coding, AI tutoring, releases, payments, and operations.
Visit live product
These are selected team and product contributions. Scope is stated carefully; private repositories, client data, and internal infrastructure stay private.
Capabilities
Strategy matters because code is expensive. Operations matter because launch day is only the beginning.
Useful AI experiences grounded in real workflows—from research and career agents to voice, retrieval, and evidence-aware systems.
Backend-heavy systems with clear domains, durable data, asynchronous work, and interfaces teams can keep extending.
Shipping is the midpoint. Releases are instrumented, monitored, documented, and improved with operational reality in view.
Delivery model
A compact, transparent process that reduces risk without turning momentum into meetings.
Align the product problem, user, evidence, success measures, and the smallest valuable release.
Design and build the interfaces, services, data flows, and AI behavior with quality gates from day one.
Ship, observe real use, strengthen reliability, and make the next decision from evidence—not theatre.
About Techly Assist
Founded by Rahul Jalan, Techly Assist brings product direction, architecture, implementation, cloud operations, and release discipline into one working relationship.
The pattern across the work is consistent: understand the real problem, build the smallest durable system, expose the evidence, and stay close enough to production to learn what matters next.
Have a hard product problem?
Share where the product is today, what is stuck, and what a useful first outcome would look like.
Start a project