Vetted HTML Professionals

Srinandh Reddy

Screened

Mid-Level Software Engineer specializing in backend, cloud, and event-driven systems

Aurora, Illinois5y exp

“Robotics software engineer focused on backend and distributed systems for real-time robot operations, including sensor ingestion, robot state management, and robot-to-cloud communication. Hands-on with ROS/ROS2 integration and real-time navigation debugging, plus production-grade monitoring, CI/CD, and containerized deployments (Docker/Kubernetes) to improve stability and performance.”

“Backend/data engineer focused on fintech payments and fraud systems, owning real-time Kafka-based reconciliation pipelines end-to-end (~13k tx/day). Built audit-friendly validation/reconciliation (SQL + Python), kept lag to seconds, and cut errors ~20%, while also shipping Spring Boot APIs with Redis caching and strong idempotency/versioning. Has early-stage startup experience standing up payment services on AWS with Docker + GitHub Actions and production monitoring/incident handling.”

Scott Knight

Screened

Director-level software engineering leader specializing in SaaS and Healthcare IT

Portland, OR23y exp

“Candidate is exploring startup ideas focused on SaaS tools for small and medium-sized businesses, especially IT and HR automation. They have prior experience in VC-backed companies and with accelerators, and stand out for emphasizing real customer feedback and prototyping over echo-chamber startup advice.”

“Built and shipped a production LLM-powered email automation agent for procurement that ingests emails/attachments, classifies requests via rules+embeddings+LLM fallback, enriches responses with SAP inventory data, and generates templated replies. Architected it as an event-driven, idempotent Azure Functions/Queues pipeline with schema-constrained outputs, confidence gating, retries/circuit breakers, and Application Insights monitoring—cutting turnaround time from 4–7 days to near real-time while maintaining zero downtime.”

Kush Shah

Screened

Junior Full-Stack Software Engineer specializing in web apps and automation

Remote, USA3y exp

“Backend engineer with hands-on experience building an AI-powered document processing pipeline for insurance workflows from design through deployment and production support. They combine LLM-based extraction with rule-based validation, retries, and observability, showing a pragmatic approach to making AI systems reliable in high-stakes environments.”

Sakshi Patel

Screened

Mid-level Software Engineer specializing in e-commerce and supply chain platforms

Remote, USA3y exp

“AI-focused developer who has built several practical AI products, including EchoMate, a voice-agent system designed to act as a proxy for doctors and support patients when physicians are unavailable. Also has experience with multi-agent/API-based workflows in a solar suitability project, showing interest in applying AI across both healthcare and climate-related use cases.”

George Platon

Screened

Principal Full-Stack Engineer specializing in AI, DevOps, and cloud platforms

Romania, Romania16y exp

“Built a production end-to-end AI video-to-reels clip extraction system using a multi-agent architecture with transcription, captioning, effects generation, and centralized orchestration. Demonstrates unusually strong systems thinking around reliability, observability, evaluation, and production tradeoffs for LLM-powered workflows, including Kubernetes/Kafka-based deployment and regression-driven prompt governance.”

“Data engineering/software development candidate who built a stock market pipeline and uses that project to demonstrate strong architectural thinking across Kafka, Spark, and Airflow. They stand out for a pragmatic approach to AI: using tools like Copilot, ChatGPT, LangChain, and AutoGen to accelerate development while maintaining human oversight, testing, and system-level decision making.”

“Candidate has hands-on experience using AI-assisted development in a pragmatic, controlled way, including shipping a more user-friendly student feedback form by redesigning text-heavy inputs into checkboxes and dropdowns. They stand out for disciplined review habits: line-by-line validation of AI-generated code, strong edge-case testing, and thoughtful use of structured prompts and staged workflows instead of over-relying on autonomous agent frameworks.”

“Early-career engineer with undergraduate research and hospital internship experience building Python/LLM automation systems, including a Study Planner AI and internal RAG tools for messy legal and clinical data workflows. Stands out for combining web scraping, vector search, and frontend integration to replace manual CSV-heavy processes under tight timelines.”

“Senior edtech product leader with nearly 20 years of experience who owned CCL's primary digital platform across strategy, execution, hiring, and operations. Most notably, they transformed a digital content delivery need into a licensing business that became the fastest-growing and highest-margin line in company history, while also shipping human-centered AI learning features and consolidating legacy tools into a unified platform.”

Mainak Pandit

Screened

Senior Frontend Engineer specializing in React, TypeScript, and product-focused SaaS

Hyderabad, India5y exp

“Frontend-leaning product engineer who operated as an end-to-end owner at Cone, a 5-person startup, building the proposal creation and signing platform that became the company’s primary revenue driver. Stands out for combining product judgment with architecture and backend execution, including a self-built Node.js PDF service that cut generation time by ~60% and meaningfully reduced developer overhead.”

Rozaliia Russkikh

Screened

Mid-Level Full-Stack Software Engineer specializing in AI systems

5y exp

“Full-stack engineer with hands-on experience leading early AI product initiatives, including a RAG dashboard prototype and a production-ready agentic workflow integrating Front, Airtable, and Slack. Stands out for combining Angular/TypeScript frontend leadership with FastAPI backend work, plus a strong focus on evals, observability, and hardening LLM systems before launch.”

“AI/full-stack engineer who has built zero-to-one internal products around LLMs, RAG, and NLP pipelines, including a conversational data interface and a production AI agent system. Stands out for combining frontend UX for non-technical users with backend/cloud architecture and measurable impact, including a reported 60% reduction in data retrieval time.”

Nikita Papenkov

Screened

Mid-level Full-Stack Engineer specializing in frontend, Web3, and data visualization

Russia7y exp

“Frontend engineer with hands-on ownership of a complex blockchain launchpad UI, including a solo refactor that unified Solana and Monad flows under one architecture. Their work emphasized feature-flag-driven multi-chain support, real-time data handling, and major bug reduction, with team feedback strong enough that they nearly received a promotion.”

“Full-stack AI engineer who built HireMate end to end using FastAPI, React, and TypeScript to automate resume-to-job matching and tailoring with LLMs. Demonstrates strong practical judgment around grounding, validation, hallucination prevention, and human-in-the-loop design, and has also shipped an early-stage multi-agent rental research workflow that processed 200-300 listings in parallel.”

Dolly Shyam

Screened

Mid-level Software Engineer specializing in backend systems and AI-driven platforms

New York, NY4y exp

“Backend-focused developer with primary experience in Python, Node.js, databases, and API development. Served as the sole backend engineer on a customer dashboard project, owning database review, API endpoint creation, and coordination with frontend developers for integration.”

Michael Adeniyi

Screened

Mid-level Full-Stack & AI Engineer specializing in LLM-integrated cloud applications

New York, NY3y exp

“Built an AI immigration compliance co-pilot for F1 OPT and STEM OPT students, combining rule-based risk assessment with LLM-powered guidance on a React/TypeScript and AWS serverless stack. Stands out for thoughtful handling of high-risk AI: grounding responses in structured compliance data, adding guardrails, and keeping legal interpretation human-in-the-loop. Also contributed to an education-focused AI product for teachers and helped expand it with quiz generation and document editing features.”

“Early-career software/ML candidate with hands-on experience spanning full-stack product work at Carrier and multiple AI-heavy academic projects. Particularly interesting for teams exploring applied ML: they built a reinforcement-learning-based movie recommender with LIME/SHAP explainability and benchmarked it against a DDPG baseline, while also having practical React/Next.js and Django/Postgres experience.”

Lenny Lin

Screened

Junior Full-Stack Engineer specializing in AI and distributed systems

Champaign, IL3y exp

“Built and owned a hackathon project (Gritto) with a Python/FastAPI backend that routes user text through a sequence of Gemini agents to produce structured JSON outputs. Has hands-on production deployment experience using Docker/Docker Compose, GitHub Actions CI/CD, AWS App Runner, MongoDB, and secrets management (Doppler + migration to AWS Secrets Manager), plus implemented a chat-like experience via multiple HTTP requests when SSE wasn’t viable.”

“Software engineer using AI pragmatically to accelerate development while keeping human review central to quality. Has hands-on experience applying AI and lightweight multi-agent workflows in a microservices environment spanning Java Spring Boot APIs, React modules, and Kafka event flows, with strong emphasis on architecture validation and production safeguards.”

“Intern/full-stack developer who built a sports player statistics dashboard with Next.js, React, Node.js, TypeScript, Zustand, and PostgreSQL. Demonstrated solid ownership across the stack, including API design, state consistency, production debugging, query/index optimization, and phased zero-downtime schema migrations.”

Godwin Idowu

Screened

Intern Software Engineer specializing in AI/ML and full-stack systems

Gambier, OH4y exp

“Full-stack engineer with hands-on ownership of both real-time marketplace features and production AI systems. Built AI-powered matching at an early-stage startup and shipped LLM-driven CRM and competitive intelligence workflows using OpenAI, LangChain, and RAG, with measurable gains in engagement, workflow reduction, and decision speed.”

“Front-end engineer focused on sophisticated browser UIs, with strong depth in performance optimization, modular architecture, and workflow-heavy product design. Built a reporting platform from scratch and delivered measurable UX wins, including reducing form latency from 300ms to under 12ms and turning a 2.5-hour image-prep workflow into a 5-minute batch process.”