Vetted Jira Professionals

“Technology leader from Franklin Templeton who modernized wealth management tech by launching client-facing digital web/mobile experiences via a phased data-warehouse-to-real-time strategy, while aligning internal CRM visibility for front office teams. Scaled an engineering org from 15 to ~250 (15 teams) and drove a shift from waterfall to Agile with microservices/micro-frontends and Jira-based transparency to improve delivery velocity.”

Tolulope Akinlabi

Screened ReferencesStrong rec.

Mid-level Cyber & Cloud Security Analyst specializing in AI/ML and cloud risk

Lanham, MD6y exp

“Built a production AI security compliance assessment system using the OpenAI API that ingests company policy documents, performs RAG over embeddings stored in Supabase/FAISS, and generates executive-level gap and maturity reports mapped to NIST CSF, SOC 2, and PCI DSS. Also developed a multi-agent trading assistant orchestrated with LangChain, combining live market data (Yahoo/Polygon.io), sentiment/technical indicators, LSTM-based forecasting, and LLM-generated recommendations.”

“Google Health engineer who owned and shipped an AI-powered clinical insights dashboard and NLP clinical note extraction service end-to-end (React/Next.js frontend; Python/Node microservices on GKE; TensorFlow transformers; BigQuery analytics). Demonstrated strong production rigor (CI/CD, testing, observability, guardrails for sensitive data) and delivered measurable outcomes including 30% faster diagnostics, 40% less manual documentation, 15% higher adoption, and 25% lower ops costs.”

“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.”

“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.”

“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.”

“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.”

“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.”