Vetted Sprint Planning Professionals

“Product/growth/operations generalist who specializes in diagnosing messy funnels and building data-driven systems to fix them across very different environments, including legal AI, healthcare analytics, and professional sports. She has hands-on experience prototyping AI workflows, deploying structured intake and lead-qualification systems, and delivering measurable gains in conversion, engagement, and operational speed.”

“Frontend engineer with hands-on experience leading architecture and quality practices across Angular and React/TypeScript products, including dynamic UI generation driven by backend configuration. Strong in building reusable design systems/component libraries and enforcing quality at scale via CI/CD SonarQube gates and comprehensive unit testing, with close collaboration alongside UX teams using Figma.”

“React performance-focused engineer who contributed performance patches back to an open-source context+reducer state helper after profiling and fixing excessive re-renders in an enterprise project management platform at Easley Dunn Productions. Also built an end-to-end LLM-driven pipeline at Prime Healthcare to normalize millions of supply-chain records, reducing defects by 80% and saving 160+ hours/month.”

“Backend engineer with Citi Bank experience building and operating a Python/Flask Personal Finance Manager platform at 1M+ transactions/month. Strong in secure API design, database performance tuning (PostgreSQL/Azure SQL), and production reliability (92%+ test coverage, load testing, monitoring). Also integrated an NLP expense-tagging microservice with caching, background workers, autoscaling, and multi-tenant isolation via RLS and tenant-aware JWT.”

Raviteja Kambhampati

Screened

Mid-level Full-Stack Java Developer specializing in cloud-native microservices and React

San Francisco, CA5y exp

“Full-stack engineer who has owned customer-facing analytics and dashboard products end-to-end using TypeScript/React with Spring Boot microservices. Strong in scaling and stabilizing distributed systems (RabbitMQ, DLQs/retries, observability with correlation IDs) and in building internal tooling that consolidates ELK/CloudWatch signals to speed up support and operations; reported ~30% performance improvement on a recent dashboard.”

Shruthi Nandakumar

Screened

Mid-level Full-Stack Developer specializing in FinTech and cloud-native microservices

St. Louis, MO5y exp

“Backend/AI engineer who owned a high-scale Java/Spring Boot microservice for a financial application (millions of requests/day) and led major reliability/performance fixes (including ORM/query and PostgreSQL tuning) achieving ~60% latency reduction. Also shipped application-layer LLM features for ops teams (summarization + tool-calling) with strong guardrails (PII redaction, validation, audit/feedback) and designed a state-driven agent workflow with retries, circuit breakers, and human escalation.”

Neda Bokhari

Screened

Entry-level AI product and data professional specializing in workflow automation

San Francisco, CA1y exp

“Early-stage go-to-market candidate at Retroshift who has owned outreach across users, investors, and prospective clients in a zero-to-one environment. They’ve helped onboard 20+ alpha users and pushed the company into 3+ accelerator interview processes, showing strong traction-building ability through scrappy, multi-channel outbound.”

“Senior technology leader who has served as the top tech executive at a venture-backed SaaS company and is motivated by the pressure and complexity of early-stage environments. Also co-founded an ecommerce business with his wife, giving him both operator and hands-on entrepreneurial experience.”

“AI/LLM-focused builder with internship experience at Curated, where they owned a voice AI support deployment end-to-end and built a RAG-based internal knowledge assistant. They pair practical production instincts with measurable outcomes, including a 30% reduction in human-handled support tickets, a 20-point NPS improvement, and a 40% reduction in manual document search across five teams.”

“Healthcare analytics candidate with hands-on experience turning messy claims and clinical data into validated SQL/Python pipelines and Power BI dashboards. They have delivered measurable impact in revenue cycle operations, including 15-18% improvement in reimbursement accuracy and 40-45% reduction in manual reporting effort.”

“Backend engineer in healthcare data systems who has owned production pipelines end-to-end, from ingesting patient and claims data to serving it through secure APIs. Brings a strong mix of Python, SQL, microservices, cloud deployment, and data reliability practices, with measurable performance gains and experience building resilient integrations with external data sources.”

“Built an employee payroll and leave management system end to end at Northwest Missouri State University, owning stakeholder discovery, UI design, frontend implementation, backend APIs, and payroll business logic. Also has experience modernizing legacy transaction processing with an incremental migration approach from COBOL-based batch systems to Spring Boot services.”

“Front-end engineer with experience building sophisticated logistics analytics dashboards for Delta Air Lines operations teams, handling real-time shipment and transportation data across millions of records. Stands out for combining React/TypeScript architecture, browser-level performance debugging, and usability improvements for demanding operational users.”

“Backend-leaning full-stack engineer with production experience building TypeScript/React features and owning microservices in regulated financial and insurance environments. Stands out for hands-on work in fraud/AML systems, PostgreSQL performance tuning, and reliability improvements using Redis caching, replicas, circuit breakers, and load-focused architecture decisions.”

Kal Yimer

Screened

Mid-level Java Application Engineer specializing in FinTech backend systems

Silver Spring, MD3y exp

“Banking-focused software engineer with hands-on experience modernizing legacy systems and building internal full-stack applications using Java, Spring Boot, React, SQL, and MongoDB. Stands out for reliability-minded engineering in financial environments, including a scheduling system that handled Daylight Saving Time correctly, reduced manual work, and protected downstream processing.”