Vetted Dashboard Development Professionals

Bocheng Wan

Screened

Mid-level Software Engineer specializing in consumer robotics and machine learning

Sunnyvale, CA4y exp

“Developer with a structured AI-assisted coding workflow centered on algorithmic rigor, type-safe scaffolding, and spec-driven modular design. Used Claude Code to help build an Android SDK for IPC, quickly ramping up on AIDL and compressing delivery including unit tests from several weeks to two weeks.”

“Operations and GTM advisor for early-stage and scaling software companies who implements practical operating frameworks (RACI, OKRs) to translate founder vision into execution. Notable outcomes include cutting sales ramp time from 6–9 months to 3–4 months at OPSWAT through enablement programs and driving 124% of financial plan at Cradlepoint (2022) after cascading OKRs across the organization.”

“TA/Recruiting Operations leader who was the first in-house TA hire at Pyant Therapeutics, building the entire function and tech stack (Greenhouse, LinkedIn Recruiter, SeekOut, Gem, Ashby) from the ground up. Managed a 6-person team supporting all business units, redesigned workflows to cut time-to-fill ~50% for urgent clinical ops hiring, and led an EOR rollout that saved ~$1M in year one.”

“Talent Acquisition leader in professional services/consulting who has led national experienced hire and campus recruiting teams at scale (up to ~40 recruiters). Known for data-driven recruiting strategy—cut a campus school roster by ~60% based on ROI analysis, expanded virtual sourcing, and reduced spend—plus executive-facing workforce planning, talent model redesign, and interview process modernization (virtual, pre-recorded, psychometrics).”

“AI/LLM engineer with production experience at NVIDIA and Microsoft, including building a RAG-based enterprise knowledge assistant that improved accuracy by 42% and scaled to thousands of queries. Deep in inference optimization (TensorRT-LLM, Triton, quantization, speculative decoding) and MLOps/observability (Prometheus/Grafana, MLflow, LangSmith), plus orchestration with Kubeflow/Airflow across multi-cloud.”

“Full-desk recruiter who has owned end-to-end searches (example: Senior Business Intelligence Engineer) and operates in high-throughput environments with multiple shifting reqs. Differentiates through hands-on process unblocking (notably interview scheduling) and a metrics-driven approach—tracking inclined/conversion rates by stage to balance pipeline health and drive offers to close.”

Yuan-Hsuan Wen

Screened

Intern Software Engineer specializing in AI agents, RAG pipelines, and semiconductor systems

Taipei, Taiwan3y exp

“Built a web-based interface that connects an internal bug system to an LLM for initial debugging and issue classification, aiming to boost QA and software engineer efficiency while balancing latency and accuracy. Worked as a one-person project and managed constraints like limited hardware and difficulty extracting team debugging context, relying on manager communication and rapid modeling to validate direction.”

Neeraj Sadarjoshi

Screened

Director of BizOps & Strategy specializing in e-commerce delivery and operations scaling

San Bruno, CA13y exp

“Ops/strategy leader with 10+ years in analytics, operations, and strategy (MBA) who has launched and scaled on-demand/express delivery capabilities in large retail ecosystems. Led complex, cross-functional initiatives including a 30-minute white-label delivery pilot for an automotive parts client and express delivery expansion for Sam’s Club across 800+ locations, with strong emphasis on driver supply, incentives, and on-time performance.”

“Backend/infra-focused engineer with experience spanning Go-based MCP servers for an AI-assisted Kubernetes on-call diagnosis chatbot and a Python/Flask PagerDuty automation integration. Previously at Tesla, optimized high-volume battery test data in PostgreSQL using JSONB, partitioning, and a timestamp normalization pipeline; also built PyTorch PINN training workflows and achieved a 20x speedup via batch vectorization.”

Yevgeniy Sergunov

Screened

Principal Partnerships & Business Development leader specializing in AI alliances and SaaS growth

San Francisco, CA22y exp

“Candidate explicitly states they focus on SaaS and software (not hardware/GPU infrastructure) and withdrew their application due to the role’s hyperscaler/AI infrastructure focus and screening criteria.”

“Talent Acquisition/People Strategy leader who has managed a large recruiting organization (25 recruiters + 3 TA Managers) while staying hands-on with executive search. Known for enterprise-wide recruiting lifecycle standardization and for building workforce planning and DEI glidepath reporting that informs executive leadership decisions through data, dashboards, and forward-looking scenarios.”