Vetted Firebase Professionals

“Backend engineer with hands-on experience building Python/Flask microservices using PostgreSQL/SQLAlchemy, JWT auth, Docker, and GitHub Actions CI/CD. Strong in performance and scalability work—migrated heavy processing to Celery/Redis, tuned queries with EXPLAIN ANALYZE and indexing, and delivered 50%+ API latency reduction. Also integrates AI workflows (OpenAI APIs) with batching/caching/fallbacks and has implemented multi-tenant data isolation patterns.”

Bharti Prasad

Screened

Executive growth and marketing leader specializing in consumer internet and gaming

Austin, TX15y exp

“Growth and GTM leader with end-to-end P&L ownership across e-commerce and real-money gaming, including scaling a fantasy sports product to the #4 player in its category and managing a 10M-user business. Particularly notable for launching a Tongits app in the Philippines remotely from India using self-directed market research, then doubling retention in 3 months and scaling it to #5 in the country.”

“Full-stack engineer with AWS Skill Builder experience building internal content-management and search workflows in TypeScript across React and Node.js. They drove a shift from keyword to semantic search using OpenSearch and Bedrock Titan Embeddings, delivering a 5x reduction in discovery time while also improving production reliability and observability for large-scale content workflows.”

“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”

Yeshwanth Sai Pala

Screened

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

Remote, USA4y exp

“Stripe engineer who shipped an end-to-end merchant fraud insights dashboard, spanning Spring Boot/Kafka risk-scoring services and a React+TypeScript UI. Focused on low-latency, high-volume transaction processing and production operations on AWS (EKS/CloudWatch), including handling a real traffic-spike latency incident via query optimization, indexing, and rate limiting.”

“Series C (Sigma Computing) full-stack engineer/intern who shipped production features across React/TypeScript and GraphQL, including a Recents/workbook activity reliability improvement that handled unsaved “exploration” events via deterministic backend updates. Emphasizes production quality through Jest/Cypress coverage and feature-flagged staged rollouts, and is recognized for UX-focused improvements (fast, accurate filtering at scale) and proactive cross-functional ownership.”

“Seed-stage startup engineer owning features end-to-end across full-stack development, DevOps, rollout, and post-launch maintenance. Built data ingestion and evaluation workflows for an LLM data-quality platform using Next.js, MongoDB, Postgres, and GCP Pub/Sub, with a strong focus on reliability, caching, and pragmatic performance improvements.”

Chris Du

Screened

Intern Full-Stack Software Engineer specializing in web apps and AI systems

Mountain View, CA0y exp

“Product/UX designer who builds end-to-end systems across both consumer wellness and industrial/technical domains. Designed BloomPath (mental-wellness platform for therapists and young professionals) using research-driven, emotionally safe interaction patterns, and also simplified a Bosch autonomous parking vision-language mapping pipeline into a developer-facing real-time UI with layered debug tooling. Comfortable collaborating deeply with engineers and contributing in React/JS.”

Sagnik Mazumder

Screened

Executive ML/AI Founder specializing in agentic analytics and data infrastructure

10y exp

“Founder of Photosphere Labs (agentic AI for ecommerce data synthesis/analysis) who worked directly with customers to scope, build, demo, and iterate LLM-based solutions, including an AI chat product for brand owners. Previously at Block, built and explained a nuanced causal inference/propensity model tied to Square POS integrations, translating model specs and outputs into business impact for varied client contexts.”

“Full-stack product engineer who built a semantic word game end-to-end across web and mobile, including a custom ML-based scoring pipeline that replaced an expensive third-party API. Also has experience shipping real-time social learning features at BU Spark, with strong instincts around product ownership, UX polish, and pragmatic infrastructure choices.”