Vetted Software Engineers

“Unity VR developer with hands-on experience shipping and optimizing standalone builds for Meta Quest (and PICO). Led gameplay + networking on a Quest 3 multiplayer social VR experience (real-time sync, avatars/gestures, proximity voice), and also built a mostly solo game that blends fast-paced restaurant simulation with a night-time horror/stealth loop featuring custom AI.”

“Lead Unity engineer who shipped a Meta Quest VR free-to-play poker title, tackling hand-tracking controls, physics-driven chip interactions, and large-room multiplayer with anti-cheat needs. Also independently built a mobile real-time multiplayer racing game through beta, including backend, progression, on-demand track delivery, and a custom car physics engine.”

“Backend engineer focused on real-time, event-driven distributed systems (Node.js/TypeScript) with strict latency and reliability requirements. Deep hands-on experience debugging concurrency issues and designing resilient workflows (idempotency, circuit breakers, compensating actions) with strong observability; familiar with ROS/ROS2 concepts and confident ramping into robotics integrations.”

“Backend engineer with deep Kafka/FastAPI microservices experience who redesigned a notification pipeline to cut end-to-end latency from ~5s to ~3s (including custom partition assignment and consumer tuning). Led a high-stakes ClickUp-to-Oracle migration of 1M+ records using idempotent ETL, reconciliation, and shadow deployment to achieve >99% integrity with zero downtime, and has hands-on production security implementation with Django/DRF (JWT + RBAC).”

“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”

“Frontend engineer who has led end-to-end React + TypeScript initiatives, including a shared frontend module used across product lines/regions and an inventory discovery experience for large datasets. Strong in scalable architecture (feature-based, configuration-driven, role-aware components), design systems with Storybook, and performance/quality practices (profiling, CI/CD, automated testing, feature-flagged rollouts). Reported ~30% reduction in duplicate code after refactoring an existing React codebase.”

“Unity gameplay/tech-art oriented developer who implemented the main third-person controller, animation, and combat feel for a game, including a sophisticated two-character synced-animation pipeline built in Autodesk MotionBuilder (leader/follower with syncing bones for perfect alignment). Has some Unity networking experience with Photon Bolt on a vehicle-MOBA project, syncing combat abilities while optimizing network data, and uses AI coding agents (KILO + Gemini) to navigate large codebases faster.”

“Frontend engineer focused on React/TypeScript products in a risk management domain, owning dashboards, reports, and a user feedback system end-to-end. Known for formalizing design systems and improving performance at scale (reported 20% faster performance) while shipping deadline-driven features that improved engagement (10%) and helped onboard a major client.”

“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”

“Built and deployed an LLM product called "Content Craft" combining BART-based summarization with a RAG Q&A chatbot using LangChain, embeddings, and a vector database. Has hands-on MLOps experience containerizing and serving models with FastAPI and running them on Kubernetes with monitoring, self-healing, and autoscaling, and has practical experience reducing hallucinations through structured prompting.”

“Frontend engineer who led end-to-end development of the Neelum transportation admin panel (React + TypeScript + AntD), building scalable dashboards and multi-step workflows for users/roles/bookings/operational zones. Emphasizes maintainable feature-based architecture, typed API contracts, performance optimization for data-heavy UIs, and disciplined quality/rollout practices (regression checks, feature flags) in fast-paced environments.”

“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”

“Software engineer who deployed and stabilized a real-time analytics platform at Senecio Software, focusing on production reliability, observability, and performance under load. Experienced debugging issues spanning distributed services and networking (e.g., tracing timeouts to packet loss from misconfiguration) and extending Python (FastAPI/Django) APIs for customer-specific analytics features in a configurable, maintainable way.”

“LLM/agentic AI builder who deployed a production ITSM automation agent on Google ADK integrating ServiceNow and FreshService, with strong safety guardrails (human-approval gating and runbook-only command execution) and rigorous evaluation (500 synthetic tickets; 80%+ false-positive reduction). Also partnered with finance to deliver an AI agent that automated invoice/SOW retrieval and monthly reporting to account managers, reducing manual back-and-forth.”

“Built and productionized an LLM-based appointment management agent, implementing RAG with Redis and LangGraph plus multi-agent intent handling and rule-based conflict guardrails to prevent double-booking under high load. Experienced in real-time diagnosis of agentic workflow failures using logs/traces and state inspection, and in driving adoption via interactive developer demos and sales-aligned custom customer scenarios.”

“Software developer with experience delivering and deploying customer-facing web applications, including an investment-focused platform requiring PostgreSQL/SQL optimization and hierarchical (adjacency list) data modeling. Has integrated payment APIs for a retail/antique shop use case, factoring in rate limits and documentation-driven implementation, and has handled time-sensitive production bugs via rapid replication and hotfix deployment.”

“Backend engineer who evolved and migrated a real-time smartwatch telemetry ingestion/analytics platform in a healthcare context, focusing on reliability under poor network conditions. Experienced with Python/FastAPI and Java microservices, PostgreSQL performance tuning, and production-grade security (JWT/OAuth, RBAC, RLS) with incremental rollout and parallel-run migration strategies.”

“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”

“Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.”

“Full-stack engineer with deep ad-tech/marketing automation experience, building production tools that reduce programmatic ad waste and improve search ads performance. Shipped and operated AWS-deployed, Dockerized systems with Postgres/Redis and strong observability (Datadog/OpenTelemetry), and delivered measurable impact (25k campaigns processed, 50k sites negated, 3–4 hours/week saved). Built scalable abstractions for multi-platform ad integrations, enabling rapid onboarding of additional clients.”

“Unity developer (3+ years) focused on mobile multiplayer/casual games, combining technical leadership with game design ownership. Has shipped modular gameplay systems, integrated monetization/analytics, and built a custom Unity Editor plugin for configurable combat/animation montage workflows (masking + blending). Not experienced with VR/Meta Quest yet.”

“Unity game developer who implemented a blockchain/NFT feature in a mid-core football game, including wallet connection via an external web portal and backend coordination for trading player skins/outfits. Has cloud-focused networking experience (AWS/Firebase) primarily for turn-based multiplayer systems and uses Copilot/VS Code to accelerate boilerplate and architecture exploration.”

“Frontend engineer who led an end-to-end dashboard web app build, starting from UI sketches and user stories through design documentation and a proof-of-concept to align stakeholders. Uses a modern React/TypeScript stack (TanStack Query/Table/Form, shadcn/ui, Tailwind) with Zod validation, ESLint + CodeRabbit PR checks, and Vercel Analytics for performance monitoring.”

“Frontend engineer experienced leading enterprise-grade analytics dashboard and portal work by embedding and extending Apache Superset within a client-facing platform. Emphasizes scalable plugin-driven React/TypeScript architecture, quality-at-scale (TypeScript + Jest + reviews), and safe, fast-paced delivery using feature flags, staging validation with real datasets, and performance optimizations like code splitting and lazy loading.”