Vetted REST API Professionals

“Built a Personal Finance Copilot, a full-stack AI assistant for transaction search, spending analysis, subscription tracking, and grounded financial Q&A, with multi-step tool-calling orchestration and hybrid retrieval/memory architecture. Stands out for using AI coding agents aggressively to accelerate planning and implementation while maintaining strong ownership of system design, testing, security, and reliability.”

Chukwunonso Azuka

Screened

Senior Software Engineer specializing in secure backend systems and re-engineering

Remote16y exp

“Founder of LexaBooks, an active bootstrapped startup being built with scalability, recurring revenue, and investor readiness in mind. Participated in the 2024 Startup Wise Guys accelerator and has continued training across SaaS, AI, and fintech, giving them a strong understanding of early-stage growth and venture dynamics.”

Ganapathi Deivanayagam

Screened

Intern Full-Stack Developer specializing in web applications and data pipelines

Milledgeville, GA0y exp

“New-grad full-stack developer with strong self-directed project work spanning collaborative web apps, AI-assisted CRM features, and LLM-supported thesis development. Particularly notable for combining modern web tooling, real-time collaboration, and pragmatic AI usage while also showing initiative in ambiguous research environments by automating manual ETL work with Python and OCR.”

Shivashankar Galla

Screened

Senior Technical Lead specializing in front-end architecture and micro frontends

Fremont, CA12y exp

“Frontend-leaning product engineer who describes leading the end-to-end architecture of Albertsons' partner portal, consolidating fragmented vendor and merchant workflows into a single micro-frontend platform. He highlights significant business impact through a reported $20M/year savings, plus hands-on ownership across observability dashboards, BFF/GraphQL API design, and cross-functional architecture decisions.”

Garv Goyal

Screened

Intern software engineer specializing in AI systems and full-stack development

Vienna, VA1y exp

“Full-stack/product-minded engineer with a strong infrastructure foundation who has built both cloud automation systems and an AI voice interview coach. Stands out for combining hands-on coding with pragmatic product thinking: they improved user trust through scorecard redesign, built resilient speech handling around flaky browser APIs, and delivered measurable backend performance gains during startup internships.”

“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.”

“Backend-leaning engineer who has significantly owned the architecture behind complex browser-based internal analytics dashboards for enterprise operations teams. Stands out for connecting Python/FastAPI/Django backend design, async processing, PostgreSQL optimization, and browser performance improvements to make real-time monitoring UIs faster and more usable.”

AAKANKSHA RUKMANNA RANGDAL

Screened

Junior Frontend Engineer specializing in React and Next.js web applications

Albany, NY2y exp

“Full-stack engineer who owned a TypeScript dashboard end to end, from Figma design through React frontend, Next.js/NestJS-style backend integration, Oracle query design, and deployment on AWS. Stands out for strong production ownership: they diagnosed N+1 query issues in production, optimized slow Oracle reporting queries using execution plans and indexing, and helped modularize a monolithic API into feature-based NestJS modules to improve deployment safety and engineering velocity.”

Yashaswini Mohan

Screened

Mid-level Product Manager and Software Engineer specializing in data-driven product execution

San Jose, CA5y exp

“Product professional with 4 years spanning software engineering, program management, and product execution, who led a 0-to-1 AI education product focused on student engagement. Drove AI Academy from ambiguous vision to MVP across 6 sprints, aligning faculty, students, and engineers and reporting 70% user participation.”

Sean Arcaya

Screened

Junior Full-Stack Developer specializing in cloud-native web applications

3y exp

“Frontend engineer who built the SparQVO customer portal dashboard in React and TypeScript, integrating business data across systems while owning authentication, caching, filtering, and UX reliability. Particularly strong in production dashboard performance work, including cache design, request cancellation, and clean separation between API/data logic and UI components.”

“Poland-based machine learning engineer with a bachelor's in AI from Warsaw University of Technology, combining freelance full-stack development with NLP and LLM work in industry. Has built academic and healthcare-related systems, fine-tuned GPT-based models, and deployed ML solutions using MLOps and Docker.”

“Full-stack engineer with healthcare/AI platform experience (Humana), owning an end-to-end high-risk patient prediction feature from React dashboards through FastAPI/TensorFlow real-time inference to AWS EKS operations. Emphasizes production reliability and contract-driven APIs (OpenAPI + generated TS types), plus strong data integration patterns (Kafka, idempotency, DLQs, backfills) in regulated, high-traffic environments.”

“Built a production LLM/RAG document extraction and game/quiz content workflow using LLaMA 2, LangChain/LangGraph, and FAISS, achieving ~94% accuracy and reducing turnaround from hours to minutes. Demonstrates strong applied MLOps/orchestration (CI/CD, MLflow, Databricks/PySpark), robust handling of noisy/variable document layouts (layout chunking + OCR fallbacks), and practical reliability practices (human-in-the-loop routing, drift monitoring, A/B testing).”

“Backend engineer with research and industry experience building data-intensive systems for healthcare and IoT. Built Python/Flask/FastAPI services with real-time ingestion and ETL into relational databases, emphasizing data quality, performance tuning, and secure access controls (JWT, RBAC, row-level filtering). Notably caught hardware-driven sensor anomalies others missed and implemented quarantine/alerting to prevent bad data from corrupting analytics.”

“Early-career backend engineer and solo builder of FrameFindr, an AI/OCR-based marathon photo tagging product used at live events. Demonstrated pragmatic scaling under tight infrastructure constraints (2GB VPS) and hands-on ownership of architecture, API design, auth (Google OAuth/JWT), and a MongoDB-to-MySQL migration with data-integrity safeguards.”

“Backend/AI engineer with internship experience building an AI-powered financial insights platform (FastAPI, Redis, BigQuery) and prior HCL experience leading a monolith-to-microservices refactor (Flask, Kafka) using blue-green deployments. Demonstrates strong performance/security focus (OAuth/JWT/RBAC, encryption) and measurable impact on latency, downtime, and ML model reliability; MVP was submitted to Google’s accelerator program.”

“AI/LLM engineer who has shipped production RAG chatbots using LangChain/OpenAI with FAISS and FastAPI, focusing on real-world constraints like context windows, concurrency, and latency (reported ~40% latency reduction and <2s average response). Experienced orchestrating AI pipelines with Celery and fault-tolerant long-running workflows with Temporal, and has applied NLP model tradeoff testing (Word2Vec vs BERT) to drive measurable accuracy gains.”

“At Unar Labs, built and operationalized LLM capabilities inside a cloud-native SaaS product, emphasizing production reliability (fallbacks, observability, cost/latency/quality monitoring) and iterative improvement from user feedback. Also acts as a customer-facing technical lead—running developer demos/workshops and supporting sales through discovery, pilots/POCs, and technical walkthroughs to drive production adoption.”

“Frontend engineer focused on high-scale React + TypeScript dashboards, including an internal Instagram creator/agency analytics dashboard handling extremely large datasets (1–2TB) with virtualization and performance profiling to maintain ~60fps UX. Experienced in modern state management (Redux Toolkit/RTK Query), modularizing legacy codebases into shared component libraries (Storybook), and shipping fast with feature flags plus automated QA (Playwright/Selenium).”

“Unity/VR developer who shipped the multi-headset project Animotive (primarily on Quest 2/Quest Pro), contributing across design, development, bug fixing, and documentation. Notably tackled a difficult multiplayer problem: synchronizing session restarts for all users and rejoining with identical session data despite 3rd-party networking/API constraints. Also built a mostly solo turn-based strategy prototype for Gamescom 2025 featuring a custom sketch-style full-screen blit shader and pattern-driven AI/UI architecture.”

“Software engineer experienced delivering customer-facing, real-time industrial monitoring dashboards (motors/shafts/turbines) by partnering directly with end users to refine charts, alerts, and performance. Strong in API/platform integrations and production troubleshooting—uses feature flags, logging, validation/mapping, containerization, and performance testing to keep systems stable while iterating quickly.”

“DevOps engineer (State Farm) with hands-on ownership of Python backend services and data pipelines, deploying microservices and workers on Kubernetes using GitOps (Argo CD). Has led complex cloud-to-on-prem/hybrid migrations with staged cutovers and rollback planning, and built Kafka-based real-time streaming pipelines with schema governance, autoscaling, and strong observability.”

“Backend/cloud engineer with hands-on ownership of a climate data extraction pipeline (BeautifulSoup + Pandas ETL + CRON) that automated 50k+ monthly data points and removed ~20 hours/week of manual work. Also built a multi-AZ Kubernetes deployment for a Node.js system using Terraform and GitHub Actions (blue-green, rollbacks) and has Kafka/FastAPI experience from a healthcare plan management project.”