Vetted REST API Professionals

“Backend/distributed-systems engineer with 9 years of Go experience, focused on financial-services platforms where performance, reliability, and regulatory auditability are critical. He has built low-latency market data infrastructure (p99 under 8ms) and optimized compliance/reporting systems used by finance and audit teams, combining strong systems design with practical production operations.”

“Student technologist building production-oriented AI products, including a college guidance chatbot for Track2College and a voice-based travel assistant. Strong hands-on experience with RAG systems, FastAPI backends, TypeScript frontends, retrieval evaluation, and tool-using LLM workflows, with a clear focus on grounded, reliable user experiences.”

“Built AI-powered products across both healthcare and financial services, including a privacy-conscious assistant for elderly health check-ins and a production RAG system for high-stakes financial document analysis. Stands out for combining full-stack engineering with strong LLM reliability practices—grounding, structured outputs, fallback handling, monitoring, and human-in-the-loop controls—while delivering measurable impact on accuracy, speed, and system performance.”

Alan Atrach

Screened

Junior Full-Stack Software Engineer specializing in SaaS web applications

Belleville, NJ5y exp

“Frontend-focused engineer who built core UI patterns for Poseidon, a construction operations platform covering bidding, dispatch, invoicing, inspections, and management. Stands out for combining product-minded UX decisions with deep browser performance work and strong TypeScript architecture, including reusable table systems, state-driven flows, and shared validation across a monorepo.”

“Built and owned an internal AI-powered knowledge assistant that centralized fragmented company knowledge across docs, tickets, and internal systems. They designed the backend, ingestion pipelines, vector search, RAG workflow, and APIs, then drove adoption through pilot testing and quality improvements—ultimately automating roughly 30% of support inquiries and cutting resolution time by about two hours per ticket.”

“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.”

“Unity gameplay engineer with experience shipping features for a multiplayer cricket title (RVG Cricket), including a high-impact replay system that records and replays full play sequences across all on-field entities. Also implemented Photon-based multiplayer and debugged host/client execution issues, and uses AI tools to speed up data enrichment workflows (e.g., generating/matching country ISO codes from JSON into ScriptableObjects).”

“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 developer who led the COC.ca (Canadian Opera Company) site end-to-end as the sole FE engineer on an AgilityCMS/.NET stack, owning master/page templates, modules, and quality. Emphasizes accessibility and responsive design, performing cross-browser/device testing with tools like JAWS, NVDA, Axe, Lighthouse, and Siteimprove; more recently built a Next.js/React/TypeScript video viewer with modal/video state management.”

“Frontend engineer (Zippia) who leads complex, form-heavy React + TypeScript workflows end-to-end, setting architecture conventions and improving performance at scale. Demonstrated strong production ownership by fixing a PDF migration issue and coordinating a recovery that regenerated PDFs for ~1700 impacted users while working closely with PM, design, QA, and a small founding team.”

“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.”

“Built and deployed a production AI-powered personalized learning platform (Django + FastAPI) featuring an LLM+RAG tutoring assistant and automated grading. Demonstrates strong applied LLM reliability engineering (structured JSON outputs with Pydantic validation, hallucination control via FAISS-based RAG thresholds and refusals) plus scalable async microservice design and Airflow-orchestrated ETL across AWS/GCP.”

“Backend-leaning full-stack developer (Java/Spring Boot, Angular, MySQL) who emphasizes rapid iteration with quality via clean code, validation, and API testing. Built a web application to help women connect directly with NGOs, focusing on an intuitive dashboard and user walkthroughs to support adoption, and designed flexible REST APIs to handle frequent requirement changes.”

“F2P mobile LiveOps/product specialist (iOS) who acted as a bridge between product, design, and data during the live phase—analyzing player behavior, identifying loop friction, and iterating on progression, rewards, and live events. Emphasizes trust-preserving monetization through incremental cohort rollouts and tight monitoring of retention, funnel, revenue, and player feedback signals.”

“Master’s capstone at Stevens: conceptualized and helped build a cross-platform assistive mobile app for visually impaired users with currency detection (ML), voice-driven AI chatbot (OpenRouter), and a guided navigation video-call feature using a shared room code. Personally implemented Firebase login/sign-in, facial-recognition login, video calling, chatbot integration, and led integration/testing across the full app.”

“Frontend-leaning engineer who shipped an end-to-end map-based discovery feature in a React Native mobile app, integrating location-based REST APIs with strong UX polish (loading/empty/error states) and cross-platform performance fixes. Also has experience building a Python backend with JWT auth and layered service structure, plus prior infrastructure work setting up centralized logging and monitoring.”

“Product-focused full-stack engineer with strong performance and reliability instincts: improved production page responsiveness by 15% via lazy loading and render optimization, and built a polished React+TypeScript filtering dashboard with URL-synced state for shareable views. Also designed and operated a Django REST backend with versioning, token auth, structured logging, and API tests, and has handled real production scaling issues through PostgreSQL query-plan analysis and indexing.”

Swapnil Sanjay Pawar

Screened

Junior Full-Stack Software Engineer specializing in GenAI and web platforms

Atlanta, GA2y exp

“AI/software engineer with hands-on experience deploying an LLM-powered quiz generation platform for students, integrating Python services with Gemini APIs plus frontend and database components. Emphasizes production-grade reliability through observability, schema validation, async processing, and performance tuning under high concurrency, and has collaborated with product/operators (e.g., at Colombo AI) to translate real-world constraints into scalable technical solutions.”

Ahmad Alomari

Screened

Senior Data Scientist & Machine Learning Engineer specializing in computer vision and production ML

Cleveland, OH7y exp

“PhD in computer engineering who has built production-oriented ML/NLP systems for space-weather prediction using Spark-based ETL on noisy satellite sensor logs. Strong in entity resolution and semantic search—fine-tuned E5 embeddings with contrastive learning and deployed to Pinecone, improving top-5 retrieval precision by 25%—and emphasizes scalable, observable pipelines with Airflow, Docker, and CI/CD.”

Ramya Jonnala

Screened

Principal/GenAI Engineer specializing in LLMs, RAG, and MLOps

Plano, TX9y exp

“Built a production AI-powered university marking system that automates question generation and grading from PDF course materials using a RAG pipeline (S3 + Pinecone) orchestrated with LangChain/LangGraph and deployed on AWS ECS via Docker/ECR and GitHub Actions CI/CD. Addressed a key real-world LLM challenge—grading consistency—by implementing rubric-based scoring, retrieval re-ranking, and standardized context summarization, validated against human instructors.”

ROHITH DAMARLA

Screened

Mid-level Backend Engineer specializing in high-scale systems and LLM pipelines

Syracuse, NY6y exp

“Open-source-focused TypeScript/JavaScript engineer who built a lightweight Node.js utility library to standardize LLM-agent message formatting, tool invocation, and safe schema-validated JSON outputs. Emphasizes composable abstractions, real-world performance profiling/benchmarks, and strong community feedback loops (GitHub issues, structured errors, logging hooks). Also did research at Syracuse University on converting natural language into structured JSON with validation layers.”

Suma Mallu

Screened

Intern Full-Stack Software Engineer specializing in UI/UX and AI-integrated web apps

Remote1y exp

“Built and owned Python backend APIs for real-time educational dashboards at ASU’s Machine Learning lab, improving responsiveness by cutting latency ~35% through caching, batching, and profiling-driven optimizations. Has hands-on experience containerizing Node.js/Python services and running GitOps-style CI/CD with GitHub Actions, plus supporting smaller infrastructure transitions with reproducible, portable configs.”

Kishan Kumar Reddy Konreddy

Screened

Junior Software Engineer specializing in distributed systems and cloud platforms

2y exp

“Software engineer (Lance Soft Engineering) who built a Java/gRPC real-time request tracking system supporting ~20K simultaneous requests, using Kafka event streaming and PostgreSQL to improve transparency and cut support requests by 35%. Demonstrates strong production operations skills—resolved live latency spikes with Kafka async messaging (+48% throughput) and executed safe migrations using parallel runs, staging validation, and blue-green deployments.”

David Momoh

Screened

Senior Full-Stack Engineer specializing in web, mobile, and cloud platforms

Lagos, Nigeria6y exp

“Frontend engineer/lead who has shipped multiple production applications including VentureRamp (multi-platform crowdfunding app, deployed early 2024), DataPotter (large-scale stakeholder tracking dashboard), and Nasdmobile (OTC stock trading app). Emphasizes scalable microfrontend/modular architecture, strong state management (React + TypeScript + Redux Toolkit), and disciplined release practices (feature flags, phased rollouts, monitoring) while leading teams through sprints and knowledge-sharing.”