SiddharthKK
AI Engineering
Tech Lead
Full-stack
MLE
Based in
Bengaluru
Building for
enterprise scale
How I work
End-to-end
AI-native
Outcome-led
Systems
I architect and ship—from agent workflows to production inference.
Teams
I lead ML, platform, and DevOps engineers as one delivery team.
Outcomes
I connect architecture to adoption, reliability, and business impact.
Technical depth
Agentic delivery systems
Reusable skills and multi-agent workflows spanning EDA, planning, implementation, testing, review, delivery, and evals.
Skills · Goal-driven harnesses · Evaluation loopsFull-lifecycle ownership
Problem framing, data exploration, experimentation, evaluation, APIs, analytics, and production operation—owned as one system.
Data · Models · Platforms · ProductOptimisation & serving
Efficient inference paths, resilient model services, and capacity validation under production load.
Kubernetes · Triton · LitServe · Kafka/SQS · k6/LocustMultilingual intelligence
ASR, TTS, diarization, speech-to-NLP/NLU, and LLM evaluation for multilingual, production-grade AI experiences.
Speech · NLP/NLU · LLM evaluationExperience
Hands-on across product, architecture, models, and delivery.
RingCentral
2021—PresentMachine Learning Engineer III
Technical lead for AI engineering and ACE.
Machine Learning Engineer II
Speech, NLP, inference, and analytics platforms.
Dheeyantra Research Labs
2019—2021Research Engineer
Multilingual speech and conversational AI research.