Vetted Cross-Functional Collaboration Professionals

Pavan Devulapalle

Screened ReferencesModerate rec.

Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development

Seattle, WA3y exp

“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”

“GTM and growth operator with experience spanning Dell enterprise technology and the startup ecosystem, combining strategy with hands-on execution. Particularly strong in ecosystem-led growth, thought leadership-driven pipeline generation, and trust-based selling, with outcomes including management of a $375M portfolio and support for 200+ founders tied to $55M in client funding and revenue impact.”

Poorna Pedapudi

Screened

Mid-Level Software Engineer specializing in distributed backend systems and cloud-native microservices

Seattle, WA5y exp

“Software engineer focused on data platforms and applied LLM systems: built an internal data quality monitoring layer to catch silent data drift and iterated post-launch after finding ~30% false-positive alerts, reducing noise via dynamic baselines and improved structured logging. Also shipped a production RAG-based internal knowledge assistant over Jira/Confluence with citations, confidence-based fallbacks, and nightly automated evals to prevent regressions.”

“Senior engineering leader in healthcare AI who combines org scaling with deep hands-on architecture work. At DriveHealth.ai, they helped evolve isolated workflows into a production-grade intelligent platform, standardizing a shared RAG+DCE architecture while leading teams of 50+ across engineering, AI, platform, QA, and DevOps.”

Damanick Dantes

Screened

Director-level investment strategist specializing in multi-asset and global macro portfolios

New York, NY12y exp

“Investor-operator with 10 years spanning asset management, financial media, product strategy, and advisory work. Unusually combines portfolio management and institutional client skills with content/revenue growth experience, plus hands-on governance leadership that helped a financially stressed organization restructure, pass bylaw changes, complete an audit, and return to profitability. At Bloomberg, also drove an AI-aligned product pivot that helped retain clients and generate about $6M in revenue.”

“Backend/full-stack engineer (5+ years) with Shopify experience integrating LLM/RAG workflows into production APIs. Owned a Python TensorFlow Serving inference pipeline connected to Java microservices via gRPC, optimizing tail latency at ~10k concurrent load and improving retrieval relevance with embedding and evaluation work. Strong Kubernetes/EKS + GitOps/CI/CD background, including monolith-to-microservices migrations and event-driven streaming patterns.”

“Engineering/technology leader from Ticketmaster who drove a domain-driven modernization strategy for legacy commerce platforms while launching new revenue features (add-on sales like merch/parking/hotels). Rebuilt and scaled teams post-COVID by reorganizing around business domains and implementing federated architecture governance, including a distributed-saga-based order orchestration approach that improved resilience and enabled partial-order success.”

“Cross-functional marketing/media operations leader with experience orchestrating multi-agency, full-funnel ways-of-working for a large P&G client. Built a client Power BI performance dashboard with an offshore AI team to eliminate manual data stitching and enable near real-time reporting, and regularly drives on-time/on-budget delivery through RACIs, Gantt-based ownership, and centralized status tracking.”

Ruby Tugade

Screened

Executive Business Development & Strategic Account Leader in Enterprise Tech, Media, and Healthcare

15y exp

“Enterprise BD/sales professional spanning agencies and emerging tech (Indigo Slate, Modus Agency, HTC Vive) with strength in building repeatable outbound and GTM playbooks. Has closed $40K–$200K Fortune 500 deals for experiential/digital marketing programs and is comfortable navigating security/procurement/legal while aligning cross-functional teams to deliver ROI-tied solutions.”

Arnell Dandridge

Screened

Director of Talent Acquisition & People Operations specializing in global hiring and HR systems

Remote9y exp

“Global recruiting leader at a startup who manages up to 20 recruiters worldwide while personally owning executive searches. Known for fast, high-impact hiring (e.g., EVP Customer Success filled in ~21 days) and for building practical, low-cost recruiting operations improvements—contract-to-hire strategy with CFO, global scheduling governance with CEO support, and HRBP-led onboarding engagement to prevent post-offer drop-off.”

Shuju Sun

Screened

Mid-Level Software Engineer specializing in real-time data pipelines and ML deployment

PA, USA4y exp

“Ticketmaster data engineer who built CDC-driven Kafka pipelines feeding Snowflake for analytics and data science teams. Hands-on in production operations—scaled Kafka during sudden playoff-driven transaction spikes and improved monitoring for preemptive scaling. Known for using small-batch experiments and quantitative metrics to align stakeholders and drive cost-saving architecture changes (e.g., buffering to reduce AWS Lambda invocation frequency).”

“Sole engineer on a large-scale authentication migration moving 350+ tenants from password-based auth to OAuth 2.0 client credentials, delivering zero downtime, full adoption, and no support tickets. Also has early hands-on experience with agentic LLM proof-of-concepts and has built structured workflow tooling to reduce ambiguity in customer-to-engineering handoffs.”

“Fleet and enterprise seller with experience at Tesla and Lucid, specializing in creating demand for EV solutions in low-inbound markets. Stands out for closing consultative, multi-stakeholder fleet deals by combining pilot programs, technical education, and outcome-driven messaging— including a 20-unit, ~$3M police department deal that helped them exceed quota.”