Vetted MongoDB Professionals

“Full-stack engineer with production experience building a legal-tech SaaS onboarding/invitation system end-to-end using Remix/React/TypeScript, Node, Prisma/Postgres, and transactional email (Resend). Emphasizes reliability and operability (idempotent actions, state-machine workflows, layered validation, migrations, logging/metrics/tracing) and has deployed both on AWS (ECS/Fargate, RDS, CloudWatch, SQS) and Dockerized infrastructure (DigitalOcean + Nginx + TLS/Cloudflare).”

“Full-stack engineer who shipped and owned a production Document Chat feature built with Next.js App Router/TypeScript and a Node/Express RAG backend, including JWT-secured route handlers and streaming responses. Demonstrated strong post-launch ownership by improving latency (~30%) via MongoDB indexing/query optimization and reducing AI costs through caching, backed by profiling with React Profiler and Chrome DevTools.”

“Built and shipped a production LLM-powered incident response agent for a microservices platform, automating alert triage and safe remediation recommendations with strong guardrails (RAG grounding, structured JSON outputs, rule-based validation, and human-in-the-loop). Implemented state-machine orchestration (Redis/Kafka), comprehensive eval/monitoring, and an error categorization pipeline that cut hallucination errors ~40% and reduced MTTR ~30%.”

Harshit Sanas

Screened

Mid-level Frontend Engineer specializing in React and Next.js

Mumbai, India4y exp

“Frontend engineer with healthcare product experience who led end-to-end delivery of therapist-facing dashboards and clinical workflows in React + TypeScript, including real-time data and multi-role complexity. Emphasizes scalable feature-based architecture, strong domain typing (discriminated unions/domain layer), and performance techniques (scoped state, selector subscriptions, virtualization) alongside disciplined rollout practices (feature flags, QA, monitoring).”

Vinicius Leite

Screened

Staff/Lead Game Engineer specializing in gameplay systems and VR

Los Angeles, USA22y exp

“Unity gameplay programmer with hands-on multiplayer networking experience (Photon Fusion, Mirror, SmartFox, Unity networking), including client-side prediction and rollback to smooth networked movement under lag/packet loss. Recently improved a fast-paced 2D platformer’s feel by adding momentum/velocity “gears,” validated through internal cohorts and volunteer/friends-and-family playtests. Comfortable in both startup and large-company environments and currently seeking a high-impact, intensive project.”

Shreya Sivakumar

Screened

Mid-level Machine Learning & Generative AI Engineer specializing in AI agents and LLM workflows

4y exp

“Customer-facing AppSec/solutions engineer with experience securing cloud-native AI/LLM deployments on Azure and Kubernetes. Led threat modeling and production hardening (Key Vault secrets migration, least-privilege IAM, rate limiting, structured logging/monitoring, LLM guardrails) and has supported retail search/catalog platforms using Elasticsearch, including performance triage and rollout playbooks that improved customer trust and enabled engagement expansion.”

Vishnu Priyan Sellam Shanmugavel

Screened

Mid-Level Applied AI Engineer specializing in LLM services, RAG, and OCR/NLP extraction

Arlington, VA4y exp

“Backend/platform engineer who built and evolved a large-scale healthcare document processing system (OCR + LLM orchestration) in Python/FastAPI on Google Cloud (Cloud Run, GCS, Firestore), processing ~1.5M files per batch and tens of millions overall. Emphasizes reliability and operational safety via deterministic IDs, idempotent state machines, strong observability, and self-healing reconciliation, plus disciplined migrations using dual-run validation and incremental rollouts.”

Nischit Patel

Screened

Mid-level Software Development Engineer specializing in Python, APIs, and AWS

NC, US5y exp

“Backend engineer with experience modernizing legacy systems and building modular Python/Flask services, including a REST-to-GraphQL migration for an e-commerce platform that improved API response time by 45%. Strong in performance and scalability work across PostgreSQL/SQLAlchemy (indexing, JSONB, N+1 fixes, connection pooling) and high-throughput systems (Celery + Redis), plus integrating ML microservices with TorchServe, Kafka streaming, feature stores, and Prometheus/Grafana monitoring.”

Pallavi Deshmukh

Screened

Mid-level Full-Stack Software Engineer specializing in React, Node.js, and Android media SDKs

USA5y exp

“Backend/data engineer who built an end-to-end real-time stock analytics platform: ingesting multi-source market data via Kafka/APIs, transforming it into dashboard metrics (e.g., Bollinger Bands), and storing in BigQuery/MySQL. Strong DevOps/GitOps experience deploying Python/Node microservices on Kubernetes with Docker/Helm, CI/CD (GitHub Actions/Jenkins), and ArgoCD, plus hands-on troubleshooting and migration work.”

Ajay Kudapa

Screened

Mid-level Software Engineer specializing in Healthcare IT and Web3

4y exp

“Software engineer with experience spanning healthcare middleware (patient records + insurance integration) and an AI fantasy football product built with React/TypeScript, Firebase, API gateways, and pandas-based data pipelines. Has hands-on microservices scaling experience (latency mitigation, async migration, state-based redesign) and built an internal feature-toggle dashboard that improved demo efficiency and sales outcomes.”

Akram Ali

Screened

Senior Full-Stack Developer specializing in Node.js/TypeScript, cloud, and data engineering

Chicago, United States10y exp

“Frontend/fullstack lead who inherited a messy psychological app with production issues, drove a rapid stabilization (2–3 weeks) and major performance/architecture overhaul (Redux Toolkit, memoization, caching, lazy loading, CDN offload to S3/CloudFront). Also owns delivery and infrastructure practices (multi-env, Docker, GitHub Actions CI/CD, AWS ECS + load balancing) and led a 1-week POC for an AI-powered trucking management system (app.neblo.ai).”

Tanvi Kulkarni

Screened

Intern Full-Stack Engineer specializing in Java, React, and cloud-native backend systems

Santa Clara, CA1y exp

“Frontend-focused engineer with startup experience (SmartPath, OPC AI) who owned and evolved an internal React/TypeScript component library treated like OSS—refactoring core form and API wrapper modules for stability, type safety, and smaller bundles. Comfortable diagnosing production issues via logs/API traces and shipping end-to-end fixes with tests and documentation, including internal workshops to drive adoption.”

Sviatoslav Boichuk

Screened

Executive CTO / Engineering Leader specializing in Full-Stack Architecture and Cloud Delivery

Ivano-Frankivsk region, Ukraine11y exp

“Founder building a hiring-focused startup who has engaged with venture investors but is prioritizing direct end-user traction through email marketing and other outreach before returning to raise a seed round. Has experience working with startups that have already raised seed funding and demonstrates a structured approach to market validation (customer conversations, landing pages) prior to heavy development.”

“Backend/AI engineer with deep healthcare experience building production Python microservices that turn raw clinical audio into structured notes and insights. They owned systems end-to-end across architecture, launch, monitoring, and incident response, with measurable impact including 40% lower operating costs, 22% better latency, and 99.9% uptime in a regulated environment.”

“Built an end-to-end agentic population health strategy copilot for healthcare leadership, turning broad chronic disease questions into structured, evidence-backed strategy briefs. Stands out for combining healthcare domain knowledge with production-grade GenAI implementation, including LangGraph orchestration, Databricks/MLflow deployment, human review, and quality gates focused on citations, metrics, risks, and safety.”

“Backend/AI engineer who built an enterprise RAG chatbot over 40,000+ technical documents, owning the system from ingestion and retrieval design through launch, optimization, and incident prevention. Stands out for treating LLM reliability as a data, retrieval, and observability problem—delivering 90%+ benchmark accuracy, ~50% fewer hallucinations, and major gains in lookup speed and latency.”

“Backend-focused engineer who built Codesdev V1.0 end-to-end, a cloud-native IDE with secure Docker-based code execution across 8 languages and a custom PostgreSQL JSONB virtual file system achieving 34ms retrieval. Stands out for pragmatic early-stage decision-making, hands-on ownership from architecture through incident resolution, and a strong focus on security and low-latency backend design.”

“Backend engineer who has led redesigns and migrations for a real-time logistics platform, improving scalability and resilience while managing eventual consistency tradeoffs. Demonstrates strong distributed-systems rigor (idempotency, transactions, async queues, monitoring) and builds secure, versioned FastAPI APIs with JWT/OAuth2, RBAC, and database row-level security.”

“Frontend engineer who led an internal React + TypeScript admin dashboard end-to-end, including a collaboratively owned component system and complex RBAC/permissions workflows. Emphasizes scalable architecture and correctness using React Query (mutations + query invalidation), centralized permission logic, and TypeScript for safe evolution, plus performance tuning for data-heavy tables and pragmatic MVP-driven delivery with gradual rollouts.”

“Frontend engineer with experience across university and product companies (University of Montreal, Dopely, Takhfifan), owning React/TypeScript features end-to-end. Notably built a mathematically complex, multi-mode color wheel UI for designers and led quality practices at scale via conventions, RTL testing, and code reviews for junior developers, plus performance and reusability improvements in existing codebases.”

“Frontend team lead who delivered an ArcMap React + TypeScript product end-to-end, emphasizing Atomic Design-based design systems, reusable component architecture, and performance optimizations (code-splitting/lazy loading, server-side fetching, webpack). Adopted React Query over Redux with centralized query-key management and coached the team on its usage while shipping quickly in a high-velocity environment.”

“Built and deployed production LLM applications including a natural-language-to-read-only-SQL system focused on ambiguity handling and query safety (schema whitelisting, intent validation, confidence checks, deterministic execution). Experienced with LangChain-based, modular agent orchestration and RAG document QA for large PDFs, with a metrics-driven testing/evaluation approach and cross-functional delivery with marketing on an AI content recommendation/search tool.”

“Frontend engineer in fintech who led a client onboarding platform end-to-end, building a scalable React/TypeScript architecture with Redux-driven multi-step verification workflows. Strong focus on quality at scale through UI automation/E2E testing and CI/CD (GitHub Actions + Docker), enabling faster releases (bi-weekly to daily) while staying stable despite evolving backend APIs.”