Vetted Nginx Professionals

“Cloud/SRE-style engineer at TDS supporting revenue-critical transportation SaaS platforms on AWS/GCP with Kubernetes. Has hands-on experience leading high-impact production work including DDoS mitigation, zero-downtime MSSQL→PostgreSQL migration using CDC, and building secure GitHub Actions + ArgoCD delivery pipelines and Terraform-based GKE infrastructure.”

Danny Beck

Screened ReferencesStrong rec.

Executive Technology Leader (CTO/Head of Engineering) specializing in platform rebuilds, AI, and Web3

California, USA11y exp

“Startup leader with 15+ years of experience, including lead engineer and founding CTO roles across 5 companies from pre-seed to Series A. Actively develops personal venture ideas by creating product specs/SLAs/business plans and engaging in investor pitch sessions and incubators, with a strong focus on early product-market fit via validated learning and data-driven pivots.”

Naveen Chokkakula

Screened References

Senior Golang Engineer specializing in distributed systems and cloud-native microservices

Texas, USA5y exp

“Software engineer with experience at UWorld and Infosys, focused on full-stack product delivery and backend reliability. Stands out for owning analytics/onboarding experiences end-to-end while also building resilient distributed systems, reusable service primitives, and safe multi-tenant configuration guardrails.”

“Full-stack engineer who built an email/SMS marketing platform from the ground up using PHP (Yii2/Laravel) and JS (jQuery/Vue components), including campaign reporting, A/B testing, and extensive ESP/SMS integrations (Mailgun/Mailjet/Twilio plus AWS SES/SNS). Notably scaled the system for very large contact ingestion by migrating from MySQL to ClickHouse and implemented reliability measures like retries, logging, and rate limiting.”

“Backend-focused Python engineer who owned high-traffic internal services end-to-end (FastAPI/Django) including REST/GraphQL APIs, PostgreSQL optimization, async task processing via SQS, and full CI/CD. Strong Kubernetes-on-EKS and GitOps (ArgoCD + Helm) experience, plus Kafka real-time streaming work and phased cloud-to-on-prem migration support.”

Andrew Park

Screened

Mid-Level Software Engineer specializing in QA automation and full-stack web development

Los Angeles, CA7y exp

“Automation and customer-facing technical specialist with experience at QA Wolf and Kalmar, taking Playwright E2E testing from prototype scripts into CI-gated production pipelines (80%+ automated coverage). Also trained both software teams and industrial operations audiences (Fleet View for automated straddle carriers) and partnered with sales/customer teams to translate technical results (e.g., Siemens PLC updates, QA ROI) into adoption and faster closes.”

“Full-stack engineer with hands-on ownership of a production expense management platform built on Next.js, NestJS, PostgreSQL, and MongoDB. Stands out for solving real production scale issues—optimizing 2M+ record query performance, redesigning cross-database sync with an outbox/event-driven approach, and cutting API latency from 2-3 seconds to under 300 ms.”

“Backend-focused TypeScript/Node.js engineer who owned a production microservice for transactional workflows in a React + microservices platform, integrating REST and Kafka event processing. Emphasizes operability and correctness (idempotency keys, exponential backoff retries, DLQs, centralized logging/metrics/alerts) plus strong API DX via versioning and Swagger/OpenAPI with improved error contracts based on developer feedback.”

Muhammad Waqas Ashraf

Screened

Senior Full-Stack Engineer specializing in AI, cloud infrastructure, and DevOps

Lahore, Pakistan7y exp

“Frontend engineer focused on building and scaling data-heavy, real-time dashboards with React/Next.js/TypeScript. Emphasizes performance and reliability at scale through modular architecture, centralized state (Zustand/Redux), strict API contracts, automated testing, and production monitoring (Grafana/CloudWatch), and has experience shipping quickly with feature-flagged rollouts and rapid iteration from user feedback.”

Kingsley Torlowei

Screened

Senior Software Engineer specializing in AI systems and data platforms

Remote8y exp

“Built and productionized LLM agents that ingest multi-source workplace data (Slack, meetings, calendars, PM tools) to extract entities (tasks/decisions/risks/initiatives) and generate customer insights like risk alerts, deadline-miss prediction with evidence, and workload overload detection. Also architected a graph-DB-backed multi-step agent using LangChain + Pydantic with async queue/worker execution and LLM-as-judge evaluation plus human review loops.”

Raghava Sammeta

Screened

Mid-level Full-Stack Engineer specializing in cloud, microservices, and AI systems

Atlanta, GA4y exp

“Built and owned Destination Together, a collaborative travel platform, end-to-end across frontend, backend, data, infrastructure, and payments. Stands out for combining React/Node microservices, PostgreSQL concurrency design, real-time messaging, Dockerized deployment, and Gemini-powered route-aware travel suggestions in a single product.”

“Full-stack engineer with recent hands-on work across scientific data infrastructure and enterprise analytics. Notably drove a Crossref-to-DataCite DOI migration at CUAHSI, owning metadata mapping, Django integration, ROR funder handling, and safe production rollout, and has contributed broadly to HydroShare, a research data platform used by thousands of researchers.”

“Computer science-oriented builder developing an iOS receipt-splitting app for real users (roommates), focusing on login security, receipt history storage, and future web access for broader usability. Demonstrates a practical, customer-facing mindset with structured integration/debugging practices (Dockerized environments, incremental testing, rollback strategy) and prior experience in communication-heavy retail/bakery roles.”

Vishesh Kumar

Screened

Intern Software & AI Engineer specializing in distributed systems and LLM applications

Palo Alto, CA1y exp

“Stony Brook Fall 2024 capstone contributor who built a ROS2-based warehouse mobile robot prototype, owning perception and SLAM integration end-to-end. Strong in real-time robotics optimization on Jetson Orin (TensorRT/CUDA, ROS2 tracing/Nsight) and in distributed ROS2 communications (DDS discovery/QoS, MAVLink-to-ROS2 bridging), with a full simulation/testing/deployment toolchain (Gazebo, CI tests, Docker/K3s).”

Purva Chakravarti

Screened

Senior Full-Stack Software Engineer specializing in scalable web apps, cloud, and blockchain/AI

Chino, California11y exp

“Full-stack engineer with strong production ownership across React/TypeScript, Node.js, and AWS (EC2/ECS/RDS/CloudWatch), including CI/CD, observability, and incident response. Delivered a secure RBAC workflow module end-to-end and achieved measurable gains (~30–40% latency reduction, ~50% error reduction) that lowered infra/ops costs. Comfortable in high-ambiguity startup environments—shipped a payment module within 2 days of joining with no documentation.”

“Full-stack product engineer who has built AI-assisted CRM and agent workflows in Project SARA and operational systems like payroll for a staffing platform. Stands out for combining React/TypeScript, Django/Postgres, real-time systems, and LLM orchestration with strong product instincts—delivering measurable gains in response time, conversion, and engineering leverage.”

“Serial entrepreneur with capital-raising experience across three startups, now building an early-stage online BBQ meat store targeting a Goldbelly launch by July. Previously operated a BBQ restaurant in Texas and has direct Goldbelly experience, giving him practical insight into e-commerce food operations, seasonal demand swings, and social-driven sales.”

“Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.”

“Backend/data engineer with hands-on production experience building a real-time notification API on Flask/Celery/Postgres and scaling it on AWS with Docker, Redis queuing, and SQLAlchemy query optimization. Also delivered AWS serverless deployments (Lambda) using Terraform + GitHub Actions and built AWS Glue ETL pipelines from S3 to Redshift with CloudWatch monitoring and DataBrew data quality checks.”