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BENCH+ PROFILE

Aruzhan

AI Product / Transformation Lead
AI product delivery for speech analytics, LLM orchestration, RAG, evaluation pipelines, and analytics platforms

Hands-on AI product and solution lead with a product analytics background, combining roadmap ownership, AI architecture, implementation oversight, and production delivery for speech-analytics and post-call analytics systems.

BEST-FIT USE CASE

Best fit for AI product initiatives that need a lead who can translate business needs into an MVP, define acceptance criteria, coordinate cross-functional delivery, and guide implementation of LLM, RAG, ASR, evaluation, and analytics workflows.

Not the primary fit: Less aligned with roles focused only on pure model research, mobile development, frontend-only implementation, or infrastructure-only platform ownership.

EVIDENCE HIGHLIGHTS

What supports the assessment

01

Owned roadmap, acceptance criteria, UI/UX prototypes, product-market fit validation, and client onboarding for a production speech-analytics platform.

02

Designed end-to-end AI solution architecture covering agent orchestration, retrieval, data architecture, asynchronous workflows, and service integration.

03

Built evaluation and guardrail workflows using PII stripping, LLM-as-judge hallucination scoring, and latency tracking before release decisions.

04

Benchmarked embedding and chunking approaches against a curated evaluation dataset, tracking retrieval quality and latency.

05

Evaluated and integrated multiple ASR engines for a speech-to-text call-processing layer.

06

Designed and optimized Python ETL pipelines across SQL and NoSQL databases for large post-call analytics datasets.

07

Built and scaled BI and NLP analytics capabilities, including tokenization, lemmatization, and dashboard integration.

08

Earlier analytics work covered funnel analysis, customer segmentation, purchase-pattern analysis, insight frameworks, and reporting automation.