Vetted Express Professionals

Advitha Bawgi

Screened

Junior Full-Stack Software Engineer specializing in cloud-native microservices

India1y exp

“Backend engineer with hands-on IoT and AI product work: built a decoupled Raspberry Pi + AWS IoT Core weather monitoring backend and a Dockerized FastAPI LLM service on AWS ECS using OpenAI/HuggingFace with an emerging RAG layer. Also delivered measurable performance gains at DAZN by redesigning event-driven/serverless ingestion (SNS, S3->Lambda->DynamoDB), cutting latency ~30% and boosting throughput ~25% while automating ~90% of manual sync work.”

Shravya Shashidhar

Screened

Intern Software Engineer specializing in LLM agents and full-stack development

Seattle, USA1y exp

“Embedded C++ engineer with Bosch automotive infotainment experience, owning real-time audio middleware modules with strict latency/memory constraints. Strong in profiling/optimizing deterministic behavior, debugging hardware-specific intermittent issues, and building automated test + CI pipelines; currently ramping up on ROS2 concepts (DDS, nodes/topics/services) to transition toward robotics.”

Neeshma Narahari

Screened

Mid-level Software Developer specializing in backend microservices and cloud platforms

Irving, TX6y exp

“Full-stack product engineer with strong React and TypeScript depth who has owned dashboard features end-to-end, from UI architecture and rendering optimization through Spring Boot APIs and database query tuning. Particularly compelling for startup or high-growth teams: they’ve shipped 0→1 internal operations platforms, prioritized MVP workflows effectively, and iterated post-launch using user feedback, logs, and usage metrics.”

Saurabh Kumar

Screened

Intern Full-Stack Developer specializing in MERN and AI applications

Kanpur, India1y exp

“Frontend-focused engineer with hands-on experience building sophisticated browser UIs, including a real-time WebRTC video chat platform for IIT Kanpur students and a high-performance NBA analytics dashboard. Stands out for deep browser performance knowledge, expert-user interface design, and competition-level execution that helped earn a global rank 2 finish.”

“Frontend engineering leader who owned the modernization of Everlane's large-scale e-commerce experience, migrating from a legacy stack to Next.js/Apollo/Cloudflare Workers while keeping a business-critical site running for nearly 1 million daily users. Stands out for combining architecture, browser performance, and conversion-focused execution—measuring success through Core Web Vitals, funnel improvements, and developer velocity.”

“Frontend/full-stack engineer with Chegg experience shipping signed-in and top-of-funnel Next.js experiences, including leading an account-sharing/device-management MVP integrated with a Java Spring Boot service. Stands out for strong rollout ownership, analytics-based validation, and pragmatic security/performance decisions in production.”

“AI/full-stack engineer who has built both a real-time crypto sentiment platform from scratch and production enterprise RAG search systems at Kore.ai. Stands out for combining strong systems engineering with practical LLM evaluation, retrieval tuning, and careful human-in-the-loop design for high-risk network automation use cases with Cisco.”

“Frontend/platform engineer with unusually strong depth in real-time data systems, observability, and API architecture across Adobe, Macy's/Bloomingdale's, and ASU. They’ve owned high-scale product surfaces end-to-end, from secure GraphQL/REST and WebSocket design through deployment, while also driving platform-wide standards adopted across 8+ product surfaces and 6 teams.”

“Frontend engineer with JP Morgan Chase experience building data-heavy React/TypeScript products, including an AI-powered enterprise search application and workforce analytics dashboards. Stands out for combining reusable component architecture, Redux-driven state flow, responsive CSS, and production performance tuning for large-scale internal enterprise tools.”

Aakash Khepar

Screened

Mid-level Full-Stack AI Engineer specializing in agentic AI systems

Tempe, AZ4y exp

“AI/full-stack builder with hands-on experience shipping healthcare, career-tech, nonprofit, and fintech products, spanning speech AI, browser extensions, agentic RAG systems, and enterprise ML monitoring. Stands out for combining strong technical depth with measurable outcomes, including reducing clinical call WER from 26% to 3%, building safe tool-using agents with rollback/RBAC, and delivering zero-to-one multi-tenant platform features in ambiguous environments.”

Kevin Lam

Screened

Senior Frontend Engineer specializing in React, TypeScript, and accessibility

Remote8y exp

“Frontend product engineer who has owned complex B2B SaaS surfaces end-to-end, especially operational dashboards and workflow-builder experiences at Rewst. Stands out for combining product thinking with scalable React/TypeScript architecture, API-shaping with backend teams, and a strong focus on maintainability, performance, and design-system quality.”

“Software engineer with Intuit experience shipping an end-to-end real-time financial insights product on AWS, using event-driven architecture with Kafka and Spark Streaming to process millions of records with low latency. Also delivers customer-facing React + TypeScript dashboards and has hands-on production operations experience, including resolving a database scaling incident via read replicas, query tuning, and connection pooling.”

“Worked on Sophia the humanoid robot, building production animation pipelines and enhancing human-robot interaction via perception and behavior orchestration. Experienced in stabilizing noisy perception-driven state transitions and designing smooth, user-centered behavioral flows, collaborating closely with artists, animators, and experience designers to translate creative intent into measurable system behavior.”

“Built and owned Prism, a real-time collaborative coding platform, making key architectural choices around deterministic event ordering and a backend source-of-truth to improve trust under concurrent edits. Also created a Python-based bug analysis and test automation suite that became part of standard engineering workflow, cutting debugging time by ~95% while improving fault detection coverage.”

“Backend engineer who built a Logistics-as-a-Service platform in Go, proactively refactoring a monolithic REST service into gRPC microservices to improve performance and maintainability. Led a 3-person team with disciplined code reviews, Dockerized DB migrations, and a canary-style rollout (5% traffic) monitored for latency and failures; also implemented JWT/OAuth2 RBAC and production-minded edge-case handling in an ordering system.”

“Enterprise platform engineer/product owner who led end-to-end delivery of customer-facing ServiceNow Service Catalog/workflow solutions, emphasizing reliability, security, and fast iteration. Built React/TypeScript portals with Node.js and Spring Boot backends, and improved microservices reliability at scale using Kafka, monitoring, and robust retry/timeout patterns.”

“Built and productionized an autonomous research agent (AutoGPT) in a Docker/Kubernetes environment with Pinecone-based long-term memory and custom Python tools for analysis, visualization, and report drafting. Implemented layered guardrails (prompt templates, automated validation, self-critique loops, and monitoring) and achieved ~25% reduction in manual report generation time while scaling the workflow to support multiple concurrent users.”

“Built and productionized an NLP-powered customer support assistant at JPMorgan Chase for digital banking, focused on reducing response time for repetitive client queries. Strong in real-world AI deployment challenges—sensitive data handling, low-latency FastAPI services, and AWS/Kubernetes operations with CI/CD—plus a metrics- and guardrails-driven approach to reliable AI workflows.”

“Uber engineer who has owned internal products end-to-end across backend (Spring Boot microservices, MySQL) and frontend (React), including performance optimization and secure JWT-based auth. Also shipped a production internal RAG/embeddings LLM support assistant over policy docs and support tickets, with guardrails (confidence thresholds, human review) and an evaluation loop that directly reduced hallucinations.”

Ethan Lam

Screened

Junior Software Engineer specializing in data platforms and full-stack development

Toronto, Ontario3y exp

“Software engineer with Warner Music Group experience owning and shipping analyst-facing data products (marketing/streaming data dashboards) end-to-end with high adoption through continuous stakeholder feedback. Also builds side projects with TypeScript/React and domain-driven API design, emphasizing flexibility (including swapping databases mid-development) and pragmatic microservices reliability patterns (logging, timeouts, retry backoff).”

Bernie Miao

Screened

Junior Full-Stack Software Engineer specializing in EdTech and AI-powered learning tools

Berkeley, CA2y exp

“Edtech/education-focused engineer who took an accessibility-critical LLM/vision feature from concept to production: built an OpenCV-gated whiteboard capture pipeline feeding Gemini Vision for handwriting-to-LaTeX, improving math transcription 80% while cutting inference costs 60%. Also built RAG observability and retrieval fixes that stabilized inconsistent answers, and partnered directly with sales to reshape demos and open a new K-12 revenue pipeline aligned to California Digital Divide grant requirements.”

Zuocheng Li

Screened

Entry-Level Software Engineer specializing in full-stack web and Android development

San Jose, CA0y exp

“Early-career developer whose experience comes from classroom projects but has completed full end-to-end web app delivery: implemented login/search/favorites, integrated external APIs, and deployed to Google Cloud for multi-device use. Demonstrates user-centered iteration by recruiting friends to test and provide feedback, and has hands-on production-style debugging experience (e.g., resolving CORS issues during deployment).”