Vetted Jira Professionals

“Chief of Staff / PMO leader at CAIS who built a firm-wide product & technology roadmap and delivery governance from the ground up, partnering directly with the executive committee to define OKRs and prioritization. Led cross-functional GTM readiness tracking and delivered major platform modernization (monolith to microservices) plus trade lifecycle automation in the alternative assets/independent financial advisor space, while also instituting financial discipline and vendor negotiations that saved millions.”

Padmaja Tyada

Screened ReferencesStrong rec.

Executive engineering leader specializing in cloud, AI, and FinTech platforms

San Jose, CA25y exp

“Engineering leader with experience scaling teams from 25 to 60+ and delivering both enterprise platform modernization and AI-native product innovation. At Experian, he led an AWS transformation of a high-volume credit platform serving 250M+ consumers, achieving 10x performance gains and 30% cost reduction; at Channel Core, he built AI-powered creator tools using OpenAI and RAG that improved adoption and personalized outreach outcomes.”

“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”

“Senior product manager with deep fintech and AI product experience across Vanguard and Seeking Alpha. Most notably led Vanguard's first shipped AI product—an ML-powered portfolio optimization web app for financial advisors—from Python prototype to production, while also building internal model validation systems and later redesigning PM training adopted across the organization.”

michael avrahamov

Screened

Executive engineering leader specializing in AI-first SaaS and cloud platforms

San Francisco Bay Area, CA22y exp

“Senior engineering executive who operated as an org-level CTO at both ServiceNow and Oracle, leading global teams up to 150 engineers and driving cloud-native, multi-tenant platform architecture. Particularly strong in observability, streaming systems, and security, with experience delivering large-scale systems ingesting data from millions of agents while building high-performing, high-DORA engineering organizations.”

“ML/LLM engineer who built and shipped an LLM-powered internal knowledge assistant at Meta, focusing on production-grade RAG to reduce hallucinations and improve trust. Deep experience with scaling and serving (FSDP/DeepSpeed/LoRA, Triton, Kubernetes autoscaling) and reliability practices (Airflow retraining, MLflow versioning, monitoring with rollback), including sub-100ms latency and ~35% GPU memory reduction.”

Vernon Quan

Screened

Senior Full-Stack Software Engineer specializing in TypeScript, React, and Node.js

Menlo Park, CA7y exp

“Meta engineer who owned a heavily used internal goals/performance management feature end-to-end, driving major responsiveness improvements by restructuring frontend data loading and adding backend caching (Memcached), cache warmups, and query/index tuning. Strong focus on production quality: observability, error monitoring, and improving test coverage to prevent regressions during peak review cycles.”

“Early-career full-stack engineer with internship experience at Bloomberg and Capital One, shipping both data-heavy product features and AI-powered internal tools. Stands out for owning end-to-end user-facing systems, from spreadsheet-to-dashboard automation that cut workflows from hours to seconds to a BERT-based support chatbot that improved reliability by ~25%.”

“Frontend engineer focused on sophisticated, high-performance browser UIs for internal operations teams. They have owned real-time monitoring and transaction-tracking interfaces, combining deep browser performance knowledge with user-centered workflow design to deliver sub-second responsiveness, 60 FPS rendering, and a 30% improvement in task completion speed.”

“Backend/data engineer with production experience at Uber building a near real-time driver rewards service on AWS (FastAPI, PostgreSQL, Redis) with strong reliability and concurrency controls. Also delivered AWS Lambda/ECS containerized deployments with GitHub Actions CI/CD and cost governance, built AWS Glue ETL with schema-evolution handling, and drove a ~10x SQL performance improvement while owning incident response via CloudWatch.”

“Engineering/tech leader with experience spanning major platforms (mentions Microsoft and AWS) and leading ML-driven product architecture (ranking systems). Describes driving a shift to a layered, API-standardized service architecture (including vector database components) that materially increased delivery speed (weeks to hours) while improving scalability and security, and emphasizes rigorous execution reviews (QDR/OKRs) plus transparent remote-team operating rhythms.”

“Senior product leader from PlayStation and Epic Games with rare experience scaling consumer gaming subscription and personalization platforms at massive scale. Led the PlayStation Plus evolution into a tiered live-service platform, driving growth from 30M to 40M subscribers and a 15% ARPU lift, while also bringing AI/ML personalization expertise from the Epic mobile store and Fortnite ecosystem.”

“Apple product leader with a rare mix of platform, commerce, UX, and AI workflow experience. They led the App Store Connect rebuild for 50,000+ developer partners, shipped high-impact pricing and payments improvements, and recently built Claude-powered investigation tooling that saves engineering time while preserving human judgment. Strong fit for human-centered AI roles where trust, measurable outcomes, and cross-functional execution matter.”

“Product leader with experience at Disney, Hallmark Media, and Storytelling Tech who has led both streaming and AI-powered content products. Notably shipped VERP, a generative AI "prompt-to-publish" video platform, and brings a clear human-centered AI philosophy focused on augmentation, trust, and fast user outcomes rather than full automation.”

“NVIDIA engineer who built and shipped a production LLM-powered enterprise knowledge system (summarization, transcription, and Q&A) that cut document retrieval time ~30%. Deep hands-on experience with RAG (FAISS/Pinecone), GPU-accelerated microservices on AWS, and reliability/safety practices (Guardrails AI, prompt A/B testing, canary releases) plus strong MLOps orchestration across Airflow, Step Functions, and Kubernetes GitOps.”

Sahitya Thota

Screened

Staff/Tech Lead Software Engineer specializing in identity, data platforms, and cloud systems

Fremont, CA20y exp

“Engineering leader/player-coach who built and owned end-to-end sales-facing data products, including a 360° advertiser insights platform and a sales AI agent for natural-language access to insights. Demonstrated strong architecture and reliability chops (event-driven redesign to eliminate Hive-query throttling; batching/caching to reduce fan-out) plus incident ownership around ads attribution consistency. Also has 0→1 experience building graph-based recommendation/matching systems with explainability and tight user feedback loops.”

RAMAKRISHNA JULURI

Screened

Executive Technology Leader (SVP/VP/CTO) specializing in cloud-native platforms and AI modernization

Seattle, WA28y exp

“Engineering leader with experience across MSCI (Index business), Microsoft Teams (callings/meetings), and MSN Weather. Has led business-aligned roadmaps, scaled orgs (including an ~80-person Teams org during COVID demand surge), and delivered Azure-based, multi-region architectures achieving ~2000 RPS and 99.9% availability with improved RTO/RPO.”

Martin Bom

Screened

Director-level Engineering Leader specializing in cloud services and large-scale delivery

Amsterdam, Netherlands31y exp

“Engineering leader with a hands-on developer background who has launched and scaled cloud services at AWS (CloudShell) while also leading AWS Cloud9. Built multi-year roadmaps and cross-org stakeholder alignment (product/marketing/mobile), and has a track record of scaling teams (3x growth) by implementing operational excellence, automated quality gates, and security champion programs; advocates serverless architectures to minimize maintenance and accelerate global expansion.”

“Backend/AI engineer currently at Stripe building Minions, an internal LLM-based developer agent that automates code generation, bug fixes, and PR creation. They combine strong production LLM architecture skills with reliability engineering, having improved routine PR merge times by ~40-45%, lowered post-merge bug rates by 12%, and previously built an invoice-processing pipeline that achieved 91% straight-through processing in a B2B payments context.”

“Senior product engineering and data architecture leader who has owned end-to-end solutions for enterprise analytics and legal search platforms, including work for Sony Pictures Entertainment and Accenture Legal. Combines executive-level architecture and team leadership with hands-on experimentation in modern AI systems, recently building a multimodal Hugging Face agent that significantly exceeded its benchmark score.”