Vetted API Development Professionals

Muhammad Talal

Screened

Senior Game Developer specializing in Unreal Engine multiplayer and VR systems

Philippines5y exp

“Unity VR developer with deep hands-on experience optimizing and debugging standalone-headset VR projects (including Android/IL2CPP and XR interaction systems), though not yet credited with a Meta Quest store ship. Built and shipped a mostly solo Unity top-down shooter (Sand Bullet) on Steam, owning core gameplay, AI, UI/input, saves, performance, and an AWS-connected companion app integration.”

Adam Hinton

Screened

Mid-level Full-Stack Engineer specializing in Healthcare IT and SaaS

Philadelphia, PA3y exp

“Backend/data engineer with healthcare/medical-device experience who scaled a HIPAA-constrained local data platform to 50k users and 1B+ records, boosting processing from <500 to ~50k datapoints/sec using sharding, indexing, and SQL over Parquet (DuckDB). Strong security and reliability focus (JWT/RLS, least privilege, heavy unit/E2E testing) and a TypeScript specialist who uses type design to eliminate edge-case failures.”

“Frontend tech lead for a university e-signature platform (Next.js/React/TypeScript) replacing paper-based signing. Built a trustworthy multi-signer PDF signing workflow with backend-as-source-of-truth state handling, strong quality gates (typed contracts, linting, pre-commit, PR reviews), and performance work like Web Workers for heavy PDF operations.”

“Full-stack engineer focused on Next.js (App Router) and TypeScript who has shipped and owned production role-based dashboards end-to-end, including post-launch reliability/performance work. Demonstrated measurable UI performance improvements (35–40% faster initial load) and strong backend rigor with Postgres query/index optimization (300ms to 30ms) plus durable Temporal-orchestrated onboarding/data-sync workflows with idempotency and retry strategy.”

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.”

Deeptanshu Patel

Screened

Intern Software Engineer specializing in LLM security and automation

Plano, TX0y exp

“Built and shipped a production LLM safety-testing agent using Gemini with support for running multiple LLMs, focused on fast (<5s) execution and clear failure-mode reporting. The tool helps smaller companies evaluate whether their LLMs respond safely by grading outputs and tuning scoring consistency.”

“Built and owned a production RAG-based internal knowledge assistant end-to-end, from experimentation through cloud deployment and monitoring. Demonstrated strong practical GenAI judgment by choosing prompt optimization and retrieval tuning over fine-tuning for dynamic data, driving a 40% to 50% reduction in time to answer while improving relevance, lowering hallucinations, and increasing productivity.”

Trace Hernandez

Screened

Mid-level Software Automation Engineer specializing in AI and healthcare IT

Santa Rosa, CA5y exp

“Built production automation systems spanning Python integrations, analytics sync pipelines, and internal workflow apps. Notably automated an architectural site inspection process end-to-end with an app, database, and letter generation engine that reduced workload by 20%, and improved reliability of a Botpress/Supabase/Airtable cron integration by eliminating recurring rate-limit failures through batching.”

“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.”

“Unity developer with shipped Meta Quest experience who owned the full lifecycle from architecture and feature development through builds and store compliance. Demonstrated strong performance optimization skills (profiling in Unity and MQDH, optimizing textures and render layering) and has built and shipped a modular, cross-platform puzzle game (PC/web/mobile).”

“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.”

“Product-minded full-stack engineer with hospitality tech experience who owned and scaled a multi-region guest verification/check-in workflow (ID/passport scanning, OCR, and government submissions) and built internal tools that cut manual entry up to 80%. Also built a React/TypeScript + FastAPI RAG “second brain” with async ingestion workers and an event-driven e-folio email microservice hardened with idempotency and retries.”

“Backend/DevOps-leaning engineer who has owned a Python serverless platform on AWS (Lambda, DynamoDB, Step Functions), including complex multi-step business workflows with transaction-based consistency and robust failure handling. Also supported an on-prem SQL to Azure Data Lake migration by building and monitoring Python + Azure Data Factory ETL pipelines, and led GitOps-style CI/CD automation with GitHub Actions (tests, security scans, automated deployments).”

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.”

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.”

Lindsey Nettles

Screened

Senior Digital Marketing & Operations Specialist in lifecycle marketing and analytics

West Hollywood, CA15y exp

“Marketing Director-level CRM/lifecycle marketer with deep restaurant/franchise and DTC experience, known for using CDP-driven segmentation and local-store personalization to materially lift loyalty (18% to 30%) and shift visit frequency (60% monthly-to-weekly). Comfortable integrating data across POS/CRM/email/feedback systems via APIs and running continuous A/B testing, plus strong stakeholder management to win franchisor buy-in through pilots and measurable outcomes.”

“VR multiplayer Unity developer who implemented high-impact interaction systems (notably a math-driven, physics-aware door system with audio occlusion and culling) and designed/built a fully custom cross-platform multiplayer stack from scratch using KCP, WebSockets, WebRTC, and MemoryPack—plus recording, NPC support, and backward-compatible client modes for an educational/learning platform.”

“Infrastructure engineer focused on AWS platform automation: built a full CloudFormation-based environment (networking, Aurora, ElastiCache) and created Python tooling plus Lambda-backed custom resources to automate deployments, user provisioning (MySQL/RabbitMQ), and operational workflows. Also migrated a company from Rackspace to AWS and maintains an 8-year Debian homelab with VMs/containers, RAID6 backups, and GPU passthrough troubleshooting. No Kubernetes experience.”