Vetted Software Engineers in the Bay Area

“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.”

“Backend engineer who built a production retrieval-augmented narrative analysis platform for 100-page screenplays using a Node/Express orchestrator and a Python/FastAPI AI engine, including a key redesign from disk-based uploads to in-memory streaming to eliminate Windows file-lock failures. Also led a refactor of a municipal vehicle tracking system into a C-based distributed engine handling 4M+ daily packets with 99.99% data integrity and automation that reduced manual ops by 50%.”

“Founding engineer at an early-stage agent marketplace who built the core job lifecycle, live run viewer, and LLM-based verification/settlement flow that gated escrow release. Also worked on a multi-agent diagnostic system using a blackboard architecture with specialized models, structured outputs, and human-in-the-loop review—showing unusual depth in both product engineering and applied AI systems.”

“Full-stack engineer operating in early-stage, high-velocity environments (OpGov.AI/UST Calibrate) who ships production Next.js App Router features end-to-end (RSC, Server Actions, SEO, RBAC, caching) and owns performance post-launch. Demonstrates strong data/infra depth—designed Postgres JSONB-based event models for DevOps/DORA analytics and tuned queries from ~2s to <50ms, plus built durable ingestion workflows with retries and idempotency on Azure.”

Ashutosh Talwalkar

Screened

Mid-level Software Engineer specializing in frontend and full-stack SaaS platforms

Santa Clara, CA7y exp

“Frontend-focused product engineer who owned the Quickwork automation platform’s architecture from 0 to 1, including a major migration from a monolithic frontend to microfrontends with Module Federation. Particularly strong in complex operational UX: real-time execution monitoring, analytics dashboards, API contract design, and performance-sensitive React/TypeScript systems for B2B SaaS workflows.”

“Backend engineer who owned the API layer for an AI trust/analytics dashboard (trust scores, stability checks, public verification endpoints) using Python/FastAPI and Postgres. Has hands-on DevOps experience deploying FastAPI and Node.js services to AWS Kubernetes with GitHub Actions + ArgoCD GitOps, plus Kafka-based real-time event streaming and careful staged migration practices (shadow traffic/dual writes, rollback planning).”

“Backend/cloud engineer from Resilient Tech with hands-on experience deploying REST APIs and database migrations into a live ERP used by real customers while maintaining 99% uptime. Has debugged intermittent AWS container timeouts down to security group/load balancer misconfigurations, and has extended Python in an ERPNext system to meet GST/e-invoicing compliance requirements with strong customer collaboration.”

“Software engineer who built an AI marketing/outreach agent end-to-end: Next.js (App Router + TypeScript) frontend integrated with a Python/Django REST backend using LLMs (Gemini, ChatGPT-4o) and SQL databases. Demonstrated measurable performance wins—improved a 100k-record UI by 15% (Lighthouse) and cut a Postgres-backed search API from ~3s to ~1ms via indexing—while also owning post-launch monitoring (webhooks/cron, New Relic/CloudWatch) and customer support.”

Amr Elkordy

Screened

Mid-level Sales Engineer specializing in GNSS/RTK and technical pre-sales

Santa Clara, CA3y exp

“GEODNET engineer specializing in edge-to-cloud, real-time GNSS data pipelines at global scale (thousands of heterogeneous base stations). Built deterministic-latency ingestion with RTCM/MSM normalization, jitter buffering, and firmware-aware parsing, and shipped production hotfixes using canary rollouts and deep observability. Also delivers customer-specific GNSS/RTK outputs via tested Python tooling (CLI/API) and collaborates on-site with operators to resolve firmware and network-driven issues.”

Haider Zahoor

Screened

Mid-level Game/Software Engineer specializing in Unity & Unreal cross-platform development

San Jose, California6y exp

“Unity/VR developer who has shipped on Meta Quest (SideQuest) and built standalone PCVR medical applications used with real patients. Built a fully solo roguelike twin-stick shooter with a highly modular ScriptableObject/state-machine architecture, including custom build-time tooling to overcome Unity runtime constraints. Uses AI selectively (e.g., Claude) to generate editor tooling like a match-3 level designer to speed up level production.”

“Software engineer with hands-on experience spanning backend APIs, streaming data systems, and cloud/infrastructure automation, who is already using agentic AI workflows in a disciplined way. Stands out for combining practical systems work in Spring Boot, Kafka/Spark/ClickHouse, and Terraform/Kubernetes with a thoughtful approach to AI oversight, architecture, and multi-agent orchestration.”

Maksym Polinka

Screened

Mid-level Software Engineer specializing in modern frontend web applications

San Francisco, CA5y exp

“Frontend-focused product engineer with strong depth in observability and real-time systems, spanning Kloudfuse and PipeIQ. They’ve built high-performance latency heatmaps and data-dense operational dashboards for large-scale telemetry, while also shaping WebSocket streaming contracts, integration architecture, and even AWS infrastructure decisions beyond a traditional frontend scope.”