Vetted Sprint Planning Professionals

“Built end-to-end financial workflow platforms at Citi spanning React frontends, Spring Boot microservices, Kafka, Redis, and Oracle. Particularly compelling for teams needing someone who can modernize legacy systems into real-time architectures—the candidate cites a 48x throughput improvement from a batch-to-Kafka modernization effort.”

Briant Trainer

Screened

Principal cloud consultant specializing in ERP, public sector, and enterprise implementations

California, USA25y exp

“Senior cloud/functional consultant with deep experience implementing Oracle and Infor solutions for large public-sector clients, especially permitting, licensing, and EAM-related workflows. Stands out for owning full lifecycle delivery, translating highly regulated requirements into complex configured workflows, and running large-scale UAT/test management across multi-module enterprise programs.”

“Product leader with experience at Catbird and Ipsy, especially strong in e-commerce, personalization, and operational AI. Stands out for combining direct customer immersion with rigorous scoping and stakeholder alignment—launching a new personalization experience in 10 weeks with 100% ROI in 4 weeks, and later driving AI automation that cut merchandising workload by 30%.”

“Seasoned enterprise program/project leader with 12+ years delivering complex technology initiatives in highly regulated federal, healthcare, and financial services environments. Stands out for managing portfolios of 6-7 concurrent modernization and operational transformation efforts, with strong governance, executive communication, and cross-functional coordination across engineering, security, and operations.”

“Frontend engineering leader who owned the modernization of Everlane's large-scale e-commerce experience, migrating from a legacy stack to Next.js/Apollo/Cloudflare Workers while keeping a business-critical site running for nearly 1 million daily users. Stands out for combining architecture, browser performance, and conversion-focused execution—measuring success through Core Web Vitals, funnel improvements, and developer velocity.”

“Product leader with experience building a patented demand chain management application inspired by 7-Eleven Japan’s inventory practices and piloting it with strong results: lower inventory, fewer out-of-stocks and waste, and higher sales. Has also shipped early AI features in edtech, including student chat moderation, and brings a notably human-centered perspective on AI’s role alongside tutors rather than as a full replacement.”

“Engineering executive and former CTO with a rare blend of enterprise healthcare AI leadership and consumer AI product building for neurodiverse users. Led Adoreal’s U.S. expansion, scaled a multidisciplinary org by about 60%, modernized platform architecture with Kubernetes and CI/CD, and consistently ties engineering and AI decisions to trust, onboarding efficiency, and revenue outcomes.”

“Backend engineer who built a Logistics-as-a-Service platform in Go, proactively refactoring a monolithic REST service into gRPC microservices to improve performance and maintainability. Led a 3-person team with disciplined code reviews, Dockerized DB migrations, and a canary-style rollout (5% traffic) monitored for latency and failures; also implemented JWT/OAuth2 RBAC and production-minded edge-case handling in an ordering system.”

“CTO/enterprise architect who stays hands-on in code while leading strategy, stakeholder alignment, and team scaling. At Eastridge, established product and technology vision/roadmap, built product engineering/strategy functions, and helped launch products into global markets; most recently led GenAI product design including tech selection, infrastructure, scalability, and observability.”

“Backend engineer focused on Python/FastAPI microservices, with hands-on experience deploying to AWS (EKS/ECR) via Jenkins and GitOps-style workflows using ArgoCD. Has built and stabilized real-time Kafka payment-event streaming pipelines and improved production performance under peak load through Redis caching, SQL optimization, and robust retry/DLQ patterns. Also supported phased migrations from on-prem environments to AWS with gradual traffic shifting and monitoring.”

“Engineering leader/player-coach who led a high-stakes 0→1 in-house usage-based billing/rating platform to replace a third-party system, saving millions and protecting 30M+ in revenue. Deep experience in event-driven microservices on AWS (Lambda/SQS/DynamoDB), billing correctness, migrations, and incident response, while scaling teams through hiring, coaching, and lightweight execution processes.”

Bhumika Shah

Screened

Mid-level Product Manager specializing in data-driven product strategy and analytics

TX, USA3y exp

“Procurement/sourcing professional with hands-on experience selecting and rolling out an analytics dashboard vendor end-to-end—using stakeholder discovery, POCs, and a scoring matrix—then negotiating a ~26% cost reduction and waiving implementation fees. Also demonstrates strong trade compliance instincts by catching and correcting an incorrect tariff code that would have increased duties ~18%, and uses structured milestone/risk tracking (RAG) to keep OTD and approvals on track.”

“Backend/data engineer with experience at Citi and Elevance Health, building end-to-end pipelines and data services in regulated, high-volume environments. They combine Python, SQL, .NET, Azure Functions, and strong observability/reliability patterns to improve processing speed, reduce manual effort, and maintain high uptime across financial and healthcare data platforms.”

“Entrepreneur building a luxury rental car company startup with capital already raised, though undisclosed. Demonstrates a thoughtful founder mindset centered on vision, growth trajectory, due diligence, and market penetration, and is actively building connections in the VC/accelerator ecosystem.”

Sergio Nunez

Screened

Senior Unity Engineer specializing in XR, mobile, and AI avatar experiences

Los Angeles, CA9y exp

“Unity/C# game engineer from Genies who built the avatar wearable customization system for Silver Studio and supported AI companion features through client-side LLM integrations. Stands out for combining clean architecture, analytics-driven product thinking, and practical optimization work across latency, AI cost controls, and mobile performance.”

Edward Diehl

Screened

Senior Technical Project Manager specializing in data, systems, and FinTech delivery

Morristown, NJ12y exp

“Enterprise implementation and modernization leader with 10+ years across JP Morgan, StoneX, and Majesco, delivering complex B2B/SaaS programs in highly regulated insurance and financial services environments. Has progressed from project coordination into full program ownership, managing $5M+ initiatives and portfolios of 4-6 concurrent enterprise implementations with executive-facing governance.”

Lyndsey Reed

Screened

Mid-level Product Manager specializing in AI, FinTech, and EdTech

Remote9y exp

“Product and technology leader with a nontraditional path from hands-on software development into director-level leadership across fintech and edtech. They have built products since 2016, led 0-to-1 fintech product work, managed a 14-person team, and combine AI/ML exposure with operational experience in department design, training systems, and stakeholder-driven roadmap execution.”

“Biopharma R&D product leader with 6-8 years building enterprise data, analytics, and AI products for drug discovery and biologics research. Notably led a multi-site biosample discovery platform that became an enterprise-wide capability at Bristol Myers Squibb and also drove an AI-powered scientific insight platform using RAG/LLM approaches to reduce time-to-insight for researchers.”

“Backend engineer at Goldman Sachs who deployed internal LLM-powered utilities to summarize operational logs/tickets, with a strong emphasis on data sensitivity and reliability. Built deterministic workflows with template-based prompts, confidence checks, and rule-based fallbacks, and used monitoring plus failure-rate metrics to tune performance; also has hands-on Temporal orchestration experience for resilient async backend jobs.”

“Software engineer with hands-on experience improving performance and reliability in financial workflows (settlements/loan processing), spanning React/TypeScript and Angular frontends plus Spring Boot microservices. Has delivered measurable latency improvements using PostgreSQL optimization and Redis caching, and has operated Kafka-based systems at scale with idempotent processing and backoff/retry strategies while iterating internal ops tooling with support/finance teams.”

“Built and owned major parts of a real-time distributed AI fraud-detection pipeline (ingestion, inference microservice integration, and automated action layer), optimizing latency and observability and reducing false positives by ~35%. Understands ROS/ROS2 concepts (nodes/topics/services) and planned hands-on ramp-up via ROS2 pub/sub exercises and Gazebo simulation, but has not worked on physical robots or ROS in production.”

Subbu Paravatareddy

Screened

Engineering Leader specializing in cloud modernization and AI/ML integration

Emeryville, CA21y exp

“Player-coach engineering leader focused on buyer/distribution product lines, building scalable purchasing/planning frameworks and modernizing workflows. Drove performance and reliability improvements via queue-based async architectures, external API redundancy, and CI/CD automation, and has led production incident response (cache-related) with follow-up playbooks and monitoring. Experienced in high-growth/startup environments, combining hands-on delivery with mentoring, 1:1s, and performance coaching.”

Jhansi Bendi

Screened

Senior Software Engineer specializing in cloud-native microservices and event-driven systems

Antioch, CA18y exp

“Senior engineer/tech lead with 18+ years building large-scale distributed applications, specializing in performance and reliability improvements. Recently owned multiple apps on an email personalization team, shipping major optimizations (including a push-update feature and audience-count architecture redesign) that reportedly lifted system performance from ~50% to ~99% while also leading code standards, reviews, and mentoring.”

Sri Harshitha Yannam

Screened

Junior Software Engineer specializing in AI/ML and cloud platforms

Austin, TX2y exp

“LLM/agent engineer who shipped a production "Memory Assistant" at HydroX AI, building a LangChain/LlamaIndex RAG memory pipeline on ChromaDB/FAISS with robust fallbacks (BERT/BART), prompt-injection mitigation, and 99.9% uptime monitoring. Also built a multi-step customer support agent using Rasa + OpenAI Assistants API with structured tool calling, guardrails, and human-in-the-loop escalation, and has experience hardening agents against messy ERP data via Pydantic validation, idempotency, and transactional outbox patterns.”