AI engineering
Applied experience across voice, language, retrieval and agentic systems.
About Jalpa
Production AI requires more than a good model.
Jalpa is an AI engineering and implementation company. We help teams move from a credible use case to a reliable system that fits their existing product and operations.
Our focus
Systems that work beyond the demonstration.
Jalpa focuses on production systems, not experimentation alone. That means designing for evaluation, failure handling, integration, security, observability and the people responsible for the workflow.
Engagements are led by experienced technical professionals who work collaboratively with internal product, engineering and operational teams. The goal is a clear implementation—not an inflated layer of process around it.
Jalpa operates as a product of Rasadhara AI Labs Pvt Ltd.
Software engineering
Architecture, APIs, integrations, deployment and observability around the model.
Workflow understanding
Attention to the people, decisions and constraints that determine whether a system works in practice.
Engineering Leadership
Abhishek Singh Kushwah
Co-Founder & CTO at Mehfil.ai · AI Architect at Jalpa
Top Rated Upwork ($40K+)90% Job Success1,130+ Hours Billed10+ Years in AI/ML
Over the past 10 years, Abhishek has taken AI products from frontend to deployed infrastructure, driving direct revenue and massive operational cost savings. He currently serves as Co-Founder & CTO of Mehfil.ai (India's Character OS & Creator Studio) and leads engineering delivery at Jalpa.
- Saved $15,000+/mo in operational costs by deploying sub-800ms real-time voice agents.
- Scaled Jolii AI to 1,000+ users via advanced LangChain video pipelines.
- Architected core AI infrastructure securing a $9M Pre-Series A round (SproutsAI).
- Handled 1,000,000+ requests/day across 11 Indian languages as Technical Lead (NLU) for Reliance Jio (JioTV, JioMart).
- Shipped governance layers securing multi-agent AI for U.S. Department of State trials.
How we collaborate
Senior technical partnership, connected to your team.
We can lead a focused validation, deliver an implementation or extend an internal engineering team with specialised AI capability. In each case, decisions, trade-offs and system behaviour remain visible to the people who will own the result.