Vetted Incident Response Professionals

Kruti Mehta

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in backend systems and FinTech analytics

Maryland, USA5y exp

“Engineer with a pragmatic, high-leverage approach to AI-assisted development: uses AI and multi-agent workflows aggressively for implementation and internal tooling, while maintaining strict human oversight for user-facing features. Stands out for treating agents like junior engineers, breaking work into actionable tasks, and combining robust testing, local E2E validation, and feature-flag rollouts to safely ship production code.”

Syed Mujtaba

Screened ReferencesStrong rec.

Senior Frontend Developer and MERN Stack specialist

Pakistan9y exp

“Frontend engineer experienced leading client-facing portals (including WebGL integrations) and admin panels, with a strong focus on scalable architecture (monorepo, shared design system/atomic design) and performance. Has built complex React+TypeScript workflows like multi-step user creation with dynamic forms, and ships major features (e.g., video recording) using feature-flagged, trunk-based delivery and E2E testing.”

Parvesh Garg

Screened ReferencesStrong rec.

Unity Team Lead specializing in multiplayer games and AR/VR

Greater Noida, UP, India14y exp

“Unity gameplay programmer with Photon-based multiplayer experience who built a real-time player feedback system (instant animation/VFX/audio + score updates) using events/ScriptableObjects to keep gameplay and UI decoupled. Has tackled movement desynchronization under variable latency with client-side prediction/interpolation and uses AI tools to speed up prototyping and balancing for a procedurally generated, math-based casual game.”

“Unity VR/AR developer with 10 years of experience who built a complex multiplayer online Jenga game from scratch, including VOIP and a custom physics synchronization approach to make heavy physics work smoothly online. Has also delivered VR simulation experiences for an educational institution using drone-recorded 360 video placed into a virtual cockpit flight experience (deployed directly to Quest headsets, though not launched on the Quest store).”

Eric Lane

Screened ReferencesStrong rec.

Executive Technology Architect specializing in IT/OT convergence and industrial cybersecurity

Ventura, CA29y exp

“Entrepreneurial technical leader with ~3 decades in R&D/startup environments and proprietary consulting across government and private industry. As Sr Electrical Controls Engineer/IT Director at V-Grid Energy Systems, redesigned gasification automation instrumentation by creating custom PCB multiplexing and ladder-logic drivers, avoiding an estimated ~$2M in CAPEX and reducing per-machine cost to under $200—positioning him well for CTO roles supporting scalable new ventures.”

Nobin Johnson

Screened ReferencesStrong rec.

Mid-Level Software Engineer specializing in full-stack, cloud, and mobile development

Buffalo, NY4y exp

“Backend engineer with open-source web3.js contributions focused on preventing costly smart-contract execution failures, plus hands-on blockchain startup experience scaling an NFT mint from a test EC2 setup to AWS Lambda/API Gateway under extreme concurrency. Built a multiplayer backend improving tick rate from 40 Hz to 105 Hz using UDP, containerization, and Kubernetes, and has healthcare production support experience across 10+ apps. Also publishes IEEE research papers and produces developer-friendly documentation that accelerates team adoption.”

“Backend/AI engineer who built production-grade intelligence systems in high-stakes domains including tax/legal document analysis and brain tumor MRI workflows. Stands out for combining LLM/RAG product delivery with strong engineering rigor around retrieval evaluation, grounding, validation, observability, and safe fallbacks—turning impressive demos into systems users could actually trust.”

“Full-stack engineer who has shipped and operated generative-AI chat/QA features end-to-end, including a RAG-based pipeline with guardrails and cost/latency monitoring in production. Experienced with React/TypeScript + Node/Postgres architectures, Dockerized deployments to AWS (EC2) via GitHub Actions CI/CD, and building reliable ingestion/ETL systems with idempotency, backfills, and reconciliation.”

“Software/product engineer who owns customer-facing internal platforms end-to-end, with deep experience building data pipeline health and data quality tooling (near-real-time alerting and ops dashboards). Strong in React/TypeScript + Python REST architectures and microservices with RabbitMQ, emphasizing reliability patterns (idempotency, DLQs, correlation IDs) and fast, safe iteration via feature flags, testing, and observability.”

“Cloud/DevOps-focused engineer with hands-on experience building Azure DevOps CI/CD pipelines for containerized applications deployed to AKS, including security scanning, approvals, versioned artifacts, and rollback. Also implemented Terraform-based IaC for Azure (VNets/subnets/NSGs/AKS) with modular design, remote state/locking, and drift detection; resolved a real deployment outage caused by an Azure RBAC permission change.”

“AI/backend engineer who independently built and operated an agentic telecom analytics system end-to-end, using LangGraph and Claude to turn natural language into safe SQL in a regulated environment. He combines startup-speed execution with compliance-minded rigor, citing 95%+ NL-to-SQL accuracy, a 30-minute-to-2-minute workflow improvement, and zero-findings support across three regulatory audit cycles.”

“Full-stack engineer with strong production experience improving performance and reliability of data-heavy analytics products. Has shipped end-to-end features spanning Node/Express + PostgreSQL + Redis and React/TypeScript, deployed via Docker/GitHub Actions to AWS EKS with Helm, and monitored with Datadog/CloudWatch; also built a Python compliance automation backend for AWS security monitoring with RBAC, versioned REST APIs, and resilient throttling-aware processing.”

“Full-stack developer with seven years of experience who has built production systems across AWS serverless infrastructure, Django applications, and user-facing web products in domains like emergency response, fintech/investing, recruiting, and conference management. Particularly notable for combining technical architecture with product thinking—e.g., modernizing a crash-tracking platform for emergency responders and materially improving trust-driven conversion in a trading-card fractionalization product.”

“Backend/AI engineer who built an enterprise RAG chatbot over 40,000+ technical documents, owning the system from ingestion and retrieval design through launch, optimization, and incident prevention. Stands out for treating LLM reliability as a data, retrieval, and observability problem—delivering 90%+ benchmark accuracy, ~50% fewer hallucinations, and major gains in lookup speed and latency.”

“Backend-focused engineer who built Codesdev V1.0 end-to-end, a cloud-native IDE with secure Docker-based code execution across 8 languages and a custom PostgreSQL JSONB virtual file system achieving 34ms retrieval. Stands out for pragmatic early-stage decision-making, hands-on ownership from architecture through incident resolution, and a strong focus on security and low-latency backend design.”

“Frontend engineer (Zippia) who leads complex, form-heavy React + TypeScript workflows end-to-end, setting architecture conventions and improving performance at scale. Demonstrated strong production ownership by fixing a PDF migration issue and coordinating a recovery that regenerated PDFs for ~1700 impacted users while working closely with PM, design, QA, and a small founding team.”

“Built and productionized an AI-assisted merchant onboarding automation workflow for Kort Payments, replacing slow manual underwriting document review with structured extraction, cross-document validation, and human-in-the-loop guardrails. Emphasizes reliability via scenario-based testing, repeatability checks, and deep observability (timestamped logs), plus incremental rollout with legacy fallback to prevent regressions.”