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Vetted Microservices Architecture Professionals
Pre-screened and vetted.
Shashank Sathola
Mid-level Python Backend Developer specializing in cloud-native microservices and AI/ML platforms
“Backend/AI engineer who built a production GPU-backed real-time inference API at Nvidia and debugged burst-induced tail latency, cutting P95 by ~29% through dynamic batching and backpressure. Also shipped an end-to-end RAG + agentic operational diagnostics assistant with strict tool controls, evidence citation, confidence gating, and strong production guardrails, plus demonstrated hands-on Postgres optimization (900ms to 40–60ms).”
Pankaj Goyal
Director-level Engineering Leader specializing in FinTech, IAM, and AI/ML platforms
“Player-coach backend leader at PostLo who led a major backend architecture upgrade to enable AI-driven features by separating transactional systems from AI workloads (vector embeddings/image validation) and adding async processing for heavy jobs. Also owned production reliability improvements (query/index optimization, workload isolation, monitoring and load testing) and translated an ambiguous retention goal into a shipped cashback rewards feature with auditable transactions.”
Mid-level Full-Stack Developer specializing in Java/Spring Boot microservices and React on AWS
Junior Software Development Engineer specializing in AWS cloud and distributed systems
Senior AI/ML Software Engineer specializing in LLMs, NLP, and scalable ML platforms
Senior Full-Stack Software Engineer specializing in cloud platforms and AI data systems
Senior Backend/Platform Engineer specializing in Python, Kubernetes, and data streaming
Mid-level Data Engineer specializing in AI/ML and cloud data platforms
Senior Software Engineer specializing in scalable backend microservices and cloud platforms
Senior Full-Stack Engineer specializing in AI/GenAI and cloud-native platforms
Mid-level Full-Stack Python Developer specializing in cloud-native platforms and payments
Executive Enterprise Technology Transformation Leader specializing in cloud, platforms, and operations
Staff Machine Learning Engineer specializing in LLMs and cloud-native AI platforms
Senior Software Engineer specializing in AI/ML, search, and scalable cloud platforms
Mid AI/ML Engineer specializing in LLMs, RAG, and multimodal systems
Anirudha Deo
Senior Engineering Manager specializing in cloud-native e-commerce and payments platforms
“Senior Engineering Manager with large-scale platform/API ownership at eBay, leading a globally distributed team and redesigning Order public APIs used by external developer ecosystems at ~800M requests/day, delivering 84% performance gains and reducing compute by ~300 VMs. Also led Google CRES ETL migration work on GCP, creating reusable Python libraries to standardize configuration across 10 integrations and improve developer productivity.”
Christopher Kanten
Senior Backend Engineer specializing in Node.js, Java, and regulated SaaS platforms
“Built a production LLM-powered root cause analysis agent for supply chain alerts that helped operations managers avoid manual dashboard investigation. Demonstrates unusually strong depth in agent reliability, orchestration, and observability, with concrete production practices like hallucination blocking, shadow testing on 500 cases, and data-driven improvements that raised user agreement to 94% while cutting GPT-4 usage by 60%.”
Christopher Chu
Senior Backend Engineer specializing in distributed systems and cloud microservices
“Backend/data engineer with experience at Nike building high-volume order orchestration and validation APIs using FastAPI microservices on AWS EKS with Kafka, Redis, and Postgres. Strong in production reliability (timeouts/retries/idempotency), GitOps (Argo CD) + Terraform deployments, and data pipelines (AWS Glue/S3), with hands-on incident ownership and legacy modernization into API-driven services.”
Akhil Maram
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Shant Mardigian
Executive Engineering Leader specializing in scalable streaming, media supply chain, and AI operations
“Tech executive with Disney experience who has repeatedly scaled and restructured engineering organizations (from 4 to 30 and up to 100+), using OKRs/KPIs to drive business-aligned roadmaps. Hands-on with architecture and platform strategy, including adopting MongoDB Atlas to centralize transactional data and building shared core services (security/permissions, auditing, compliance) to increase product velocity across distributed teams.”
Jim Reifsnyder-Smith
Executive Technology Leader and Senior Software Engineer specializing in SaaS platforms
“Engineering/product leader with repeated experience defining roadmaps and delivering platform migrations across SaaS and enterprise contexts. Scaled an education system from two districts to 2M+ students statewide, and led an Elasticsearch-based architecture for an internal Disney product serving ~100K employees. Known for rigorous execution (RAID/OKRs/sprints), strong stakeholder communication (weekly AI summaries), and empowering teams via end-to-end ownership and customer-connected development.”
Lee Williams
Executive Product & Technology Leader specializing in SaaS, mobile platforms, and IoT
“Seasoned business leader with decades of leadership experience (including Fortune 50/500) and prior Silicon Valley startup exposure, now pursuing entrepreneurship. Building “Datascension,” a gamified, story/episode-based career coaching platform that includes hands-on tasks (e.g., SQL queries, Python scripts) plus a participation-based credit/currency system and certification/badging, informed by feedback from recruiters and coaching/recruiting firms.”