Vetted System Design Professionals

“Startup-focused tech leader with 20+ years of experience who has led engineering teams across multiple startups and pitched inside VC firms. Currently building infrastructure for managing physical wealth—creating a canonical data layer that integrates with wealth management systems to account for precious metals and other tangible assets—and is prepared to raise capital to align with the right partners.”

Christopher Peacock

Screened

Executive CIO and Enterprise Architect specializing in cloud, security, and IT governance

Remote5y exp

“Fractional CIO/founder-type operator at AHDX Inc, a hybrid-cloud/primary storage solutions startup with a compliance focus targeting healthcare; MVP has completed beta and the company has seed funding while pursuing additional investment. Has supported multiple startups (OmniHR, Combat Connect, 3BX) and cites tangible results tied to DoD/security, Medicare/Medicaid, and Air Force LMS contracts, positioning them as a hands-on "fixer" for early-stage technical strategy and architecture.”

Anudeep Reddy Veerla

Screened

Mid-Level Software Engineer specializing in cloud-native microservices

Boston, MA3y exp

“Built and shipped both a solo real-time multiplayer Spades game (TypeScript monorepo with shared client/server engine) and a production internal LLM-powered document Q&A tool for a SaaS company. Demonstrates strong RAG pipeline design (Pinecone + embeddings + reranking), rigorous eval/regression practices, and pragmatic data ingestion/observability work across Confluence, Notion, and messy PDFs/OCR—backed by clear metric improvements (P@1 61%→78%, escalations 40%→22%).”

Ruslan Labza

Screened

Mid-level Full-Stack Engineer specializing in modern web applications

San Francisco, CA6y exp

“Built and launched a production AI chat assistant inside a data processing platform, focused on helping users understand large table outputs and job results faster. Brings strong end-to-end product engineering across React/TypeScript frontend, backend APIs, and LLM integration, with a clear emphasis on reliability, safe behavior, and iterative quality improvements after launch.”

“Full-stack engineer with hands-on ownership of a production AI knowledge assistant used by 10,000+ daily users. Combines React/Next.js frontend work with FastAPI, AWS serverless, and RAG architecture using GPT-4, LangChain, and Pinecone, with measurable impact on relevance, latency, uptime, and support deflection.”

“Full-stack/AI engineer with very recent startup experience building creator and CRM AI platforms. They combine React/TypeScript frontend work with Python-based LangChain/LangGraph AI workflows and Go microservices, and have practical experience hardening third-party integrations through abstraction layers, versioning, monitoring, and alerts.”

“Backend/data engineer with hands-on production experience across Python/Flask microservices and AWS serverless/data platforms (Lambda, DynamoDB, S3, Glue/PySpark). Demonstrated strong reliability and operations mindset (JWT/RBAC, retries/timeouts/circuit breakers, CloudWatch/SNS alerting) and measurable performance wins (SQL report runtime cut from 10 minutes to 30 seconds). Seeking ~$150k base and cannot travel for onsite meetings for the next 5–6 months due to family medical constraints.”

“Candidate worked on an AI-powered commercial real estate document analysis product at Ariesview, building workflows that ingest leases and property reports, run OCR, persist structured outputs, and support grounded Q&A via RAG. They stand out for practical ownership of messy production problems like noisy PDFs, document-state consistency, and backward-compatible schema migrations in a fast-moving product environment.”

“Backend Python engineer who has built an LLM agentic tutoring/assignment helper with a custom pipeline for parsing visually complex textbooks (integrating AlibabaResearch VGT and implementing missing preprocessing from the paper), improving RAG grounding with ~90% cleaner extracted text. Also led major platform scaling work by refactoring monolithic image processing into Celery-based async microservices on AWS (GPU/CUDA + S3), and implemented Kafka streaming for payment webhooks with strict ordering, idempotency, and multi-zone fault tolerance.”

Penny Asawadilockchai

Screened

Mid-Level Product Designer specializing in human-centered UX/UI

Oakland, CA4y exp

“Product/UX designer with end-to-end experience building a borrower-facing intake platform that coordinates AI automation and human review across borrowers, loan officers, and processors. Emphasizes explicit system states, clear handoffs, and exception-based visibility to increase trust in high-stakes underwriting/document workflows, using Figma prototyping and close engineering collaboration to ship feasible, scalable interactions.”

Keeravani Chekuri

Screened

Mid-level AI/ML Engineer specializing in LLM systems and MLOps

Boston, MA3y exp

“Built and deployed an AI tutoring assistant end-to-end at Nexora School, spanning discovery with school districts, multi-agent LangGraph/RAG architecture, AWS Bedrock migration, and post-launch stabilization. Stands out for combining hands-on LLM systems engineering with strong educator-facing trust building, FERPA-driven architecture decisions, and disciplined production practices around evals, logging, and messy document ingestion.”

“Software candidate with hands-on experience using AI as a productivity multiplier across architecture, refactoring, testing, and code review. Has worked with LangChain-based multi-agent workflows to decompose complex engineering tasks for parallel execution, showing practical familiarity with emerging AI-native development patterns.”

“Full-stack software engineer with hands-on experience shipping AI-driven product experiences, including a conversational travel planner and a RAG-based PDF question-answering system. Has also built enterprise automation APIs at Accenture for network diagnostics, combining backend engineering, testing automation, and user-focused product simplification for non-technical operations teams.”

“Full-stack product engineer at AllCheer who has shipped production AI workflow systems in a compliance-sensitive healthcare operations context. They built React/FastAPI products with LangChain and OpenAI to automate release-of-information and note-extraction workflows, delivering measurable impact including ~60% faster processing, ~$20K annual savings, and ~92% extraction accuracy.”

“Full-stack product engineer with strong web3/blockchain experience, having built invoicing/tokenization, transaction explorer, and no-code workflow products across React, Node.js/serverless, and SQL. Stands out for combining deep technical execution with product thinking—improving onboarding completion by ~40%, shipping quickly under ambiguity, and creating reusable platform primitives for auditability and multi-tenant customization.”

“Backend engineer focused on real-time, event-driven systems (Java microservices) handling high-frequency data with low-latency and reliability requirements. Strong in Kafka-based asynchronous architectures, Redis caching, JVM/query tuning, and scalable deployments on Docker/Kubernetes with Jenkins CI/CD; no direct ROS/robotics experience but has closely related distributed communication patterns.”

“Full-stack engineer with strong DevOps/AWS experience who ships end-to-end React/TypeScript + Node/Python systems and operates them in production. Built an LLM-assisted recommendations workflow for a SaaS product with robust reliability controls (schema-validated JSON outputs, fallbacks, caching, monitoring) and measured impact via adoption, time saved, and override rates; also experienced delivering MVPs fast in early-stage startup ambiguity.”

“India-based engineering leader/player-coach managing ~20 people and three products, while still shipping hands-on in Python/Golang across 8–10 microservices deployed on GCP (Kubernetes) and AWS (ECS). Has led end-to-end delivery (design through QA) and owned production reliability improvements (including building a Slack alerting bot). Strong domain exposure in utilities (MDM/meter readings, billing/rate calculations) and financial integrations (GL code tagging), plus side projects in Golang around LLM API cost-optimization.”

Tao Chen

Screened

Senior Full-Stack Engineer specializing in AI-powered web products

Mountain View, CA7y exp

“Backend/data engineer who has built production AI video generation services on AWS using a hybrid serverless + container architecture (FastAPI, Lambda, ECS, Postgres/Redis) with strong reliability practices (auth, retries/timeouts, structured logging, CloudWatch + Slack alerting). Also delivered AWS Glue ETL pipelines with schema evolution handling and modernized a legacy SAS healthcare reporting workflow to Python with parity validation and parallel-run migration.”

Sai Harsha Kurapati

Screened

Mid-level Backend Engineer specializing in distributed systems and industrial IoT

Indianapolis, IN4y exp

“Backend/Python engineer focused on real-time sensor/IoT analytics: built dashboards and a high-throughput ingestion pipeline (MQTT -> Python worker -> TimescaleDB) with buffering, batch inserts, and validation. Strong Kubernetes + GitOps practitioner (Dockerized microservices, HPA, probes, ArgoCD) who has handled production incidents like CrashLoopBackOff under peak load and supported an on-prem analytics migration to AWS using shadow traffic and rollback plans.”

Tanisha Dalwadi

Screened

Mid-Level Full-Stack Product Engineer specializing in TypeScript and React

Arizona, USA4y exp

“Software engineer and co-founder with 0-to-1 SaaS experience who built and owned an end-to-end reporting/analytics dashboard on Next.js App Router + TypeScript, including Postgres schema design, aggregation query optimization, and post-launch performance/monitoring. Has delivered measurable React dashboard performance gains (~35% improvement in time-to-insight) and built durable, idempotent job/state-machine workflows using serverless functions and Postgres.”

Md Abul Kalam Azad

Screened

Director-level Software Development Leader specializing in FinTech, Blockchain, and AI

Kuala Lumpur, Malaysia24y exp

“Bootstrapped founder with a technical background who has already built an MVP SaaS loyalty and referral platform plus a tablet/mobile POS companion product, leveraging Azure and Google Cloud support rather than outside capital. Focused on learning-by-building, resource-efficient execution, and forming highly motivated, equity-aligned teams.”

“Engineer with hands-on experience building adaptive assessment and LMS-style platforms across React/TypeScript, edge/serverless backends, and Postgres, with strong evidence of cross-layer debugging and performance optimization. Also brings ML product experience from a small-team internship, where they shipped a CatBoost-powered investor demo under ambiguity and created reusable inference infrastructure.”

Cristobal Troncoso

Screened

Senior Unity Developer specializing in VR, multiplayer, and AI-driven simulations

Santiago, Chile12y exp

“Unity/VR engineer who has owned systems from gameplay architecture through hardware integration, including a modular casino platform deployed to 100+ terminals in Chile that became the company’s primary revenue source for over three years. Also brings hands-on experience with AI-driven talking avatars, multiplayer VR training on Quest, and aggressive cross-platform optimization across WebGL, Android, and VR.”