Vetted Scrum Professionals

“Consulting-style leader (McKinsey context) driving data- and AI-enabled transformations across healthcare, QSR, retail, and services. Has built AI-powered analytics tools for marketing ideation, led agile operating models with client-side counterparts and external coaches, and navigated highly sensitive competitive retail engagements by isolating teams and delegating pricing work to avoid conflicts.”

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.”

Gayatri Puwar Mahendroo

Screened ReferencesStrong rec.

Director-level Product Leader specializing in AI, platforms, and B2B SaaS

San Francisco, CA19y exp

“Senior product leader with 15+ years spanning FAANG-scale platforms and early-stage startups, from Skype’s bot framework at 300M MAU to AI-native enterprise products in fintech, banking, and data center operations. Particularly strong in human-centered AI, trust and transparency UX, and turning ambiguous 0-1 opportunities into shipped MVPs that win pilots, awards, and business traction—including a GenAI observability platform that earned a Google Accelerator award and later led to acquisition.”

“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.”

Kyle Kim-Hays

Screened

Executive marketing and product leader specializing in SaaS, media, telecom, and AI

New York City, NY24y exp

“Senior product leader with experience spanning Microsoft Windows core OS and Softomotive/Microsoft RPA products, including a major WinAutomation repositioning that reportedly grew ARR from under $500K to over $300M. Brings an unusual mix of AI product strategy, deep UX judgment, large-scale cross-functional leadership, and financially rigorous roadmap decision-making, plus a personal commitment to education through adjunct teaching.”

Gowtham Sai Reddy Maddireddy

Screened

Mid Software Engineer specializing in AI platforms and backend systems

USA3y exp

“Built and shipped AI-powered enterprise search and workflow automation features end to end across React/TypeScript, FastAPI, PostgreSQL, and OpenAI/LangChain. Demonstrates practical production experience with RAG, FAISS, monitoring, and human-in-the-loop safeguards, with reported gains of 35% faster response times and 50% higher automation efficiency.”

“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.”

“Entrepreneurial healthcare operator currently serving as investor, co-founder, and COO of Mednevo, a startup combining AI with physician oversight rather than replacing doctors. Brings experience from 8 startups, prior capital raising, and a practical approach to healthcare AI trust, including doctor-controlled AI shutoff, HIPAA-minded compliance, and physician validation of LLM outputs.”

“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.”

Chang Qian

Screened

Senior Backend/Infrastructure Engineer specializing in large-scale integrity and content systems

Menlo Park, CA10y exp

“Backend/platform engineer who built Bilibili’s "Avalon" content moderation platform from a vague CEO mandate into a company-wide service (Go, gRPC, Kafka), including on-call, metrics, transparency tools, and multi-site resiliency work. More recently at Meta, scaled a high-traffic mistake-prevention platform by introducing capacity levers (prefiltering, caching, log sampling, fanout limits) and navigating org-wide constraints, including debugging a rule-engine threading bottleneck.”

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.”

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.”