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Vetted Vercel Professionals
Pre-screened and vetted.
Senior Full-Stack Engineer specializing in web, mobile, and platform systems
Diya Patel
Mid-level Full-Stack Developer specializing in React, Node.js, and FinTech platforms
“Full-stack developer with Manulife experience building and scaling a customer-facing digital wealth portfolio tracker and a complex React/TypeScript portfolio dashboard. Strong track record improving mobile UX and reliability with measurable impact (30% lower mobile bounce rate; ~20–22% fewer Stripe payment errors) through CI/CD automation, A/B testing, and monitored incremental rollouts.”
Sai Nikhitha Chowdary Manne
Junior Software Developer specializing in AI/LLM agent systems
“Built an LLM-powered agent within the Nora AI analytics platform to automate e-commerce product performance analysis and generate actionable recommendations (pricing/inventory), designed with production-grade reliability patterns and observability. Emphasizes predictable, schema-validated tool/function-calling pipelines with robust fallbacks, idempotency, and guardrails for messy operational data.”
Antoine Andre
Senior Account Executive specializing in AI/SaaS and technical B2B sales
“Founding recruiter/seller at Remax who built the entire outbound engine from zero—cadences, CRM workflows, automations, Chrome extensions, discovery framework, and ROI templates—without SDRs, inbound, or an existing playbook. Combines consultative selling with technical process-building, and turned a cold-sourced broker into a 5-person team producing $14M in annual volume while reducing meeting conversion timelines by 40%.”
Prabuddha Banerjee
Mid-level AI Engineer specializing in LLMs, speech AI, and agentic workflows
“AI/backend engineer who has built multiple applied AI systems end-to-end, including an underwriting document intelligence copilot, ambient clinical documentation workflows, and a financial analysis agent. Stands out for combining practical LLM architecture choices with reliability mechanisms like human-in-the-loop review, eval frameworks, and grounded retrieval in production settings.”
Godwin Idowu
Intern Software Engineer specializing in AI/ML and full-stack systems
“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.”
Bhanu Prasad Doddipati
Mid-level Full-Stack Engineer specializing in TypeScript/Node.js and AWS cloud platforms
“Accenture engineer who built real-time smart mobility products (Verra Mobility) used by both consumers and government agencies, spanning React/TypeScript frontends and Node.js/GraphQL microservices with Kafka. Demonstrated strong delivery and reliability practices (CI/CD, feature flags, automated testing, CloudWatch observability) and achieved a ~20% GraphQL performance improvement supporting 50,000+ daily transactions, plus built an internal ops/support dashboard adopted into daily workflows.”
Swati Swati
Senior Data Scientist/Software Engineer specializing in ML systems and cloud DevOps
“AI software engineer with experience spanning LLM/RAG production systems and regulated fintech infrastructure. Built an end-to-end natural-language-to-SQL analytics assistant (Weaviate + GPT-4 + Supabase) shipped as an API with 92% accuracy and major time savings for non-technical users, and also owned demand-forecasting and CI/CD/containerization improvements for a Bank of America core banking deployment at Infosys.”
EMMANUEL ETIENNE
Engineering Manager specializing in FinTech money movement and AI-driven infrastructure
“Player-coach fintech engineer/engineering lead who built a deterministic payer-ID wire reconciliation system with Citi, including idempotent ingestion and webhook processing across Ruby and Go, materially reducing accounting manual work. Experienced in incident response (Plaid-related customer-impacting issue), stakeholder-driven MVP scoping for ACH status visibility, and delivery acceleration via infrastructure templating (EC2) and standardized Magento project setups.”
Gabriel Fagundes
Mid-level AI/ML & Backend Engineer specializing in AI platforms and computer vision
“Backend engineer with hands-on experience building real-time, low-latency systems: owned the Python backend for a real-time crowd-monitoring product (top 5% at HackHarvard 2025) using OpenCV, GPU YOLO inference (PyTorch), WebRTC, and OAuth. Also has production Kubernetes/GitOps experience (Helm/Kustomize, GitHub Actions, Argo CD), Kafka-based event pipelines, and executed a minimal-downtime on-prem PostgreSQL migration to AWS EC2.”
Alankrit Srivastava
Intern Data Engineer specializing in Snowflake pipelines and AI/ML analytics
“Built and operated an end-to-end TypeScript/Node AI agent platform for high-volume financial data that generates explainable investment signals and automates execution via resilient Playwright browser automation. Uses Postgres + pgvector/Prisma for RAG retrieval, Redis for async orchestration, Zod-based boundary validation as a circuit breaker, and OpenTelemetry for tracing/latency monitoring; also designed a TypeScript SDK with semver, scoped bearer-token auth, CLI key rotation, and interactive Swagger docs.”
Shreyas Ravishankar
Entry-level Blockchain R&D Engineer specializing in zero-knowledge systems and ML
“Backend/full-stack engineer with an unusual mix of web application delivery, zero-knowledge cryptography, and applied ML. They built a BioTrack system that improved reporting by 40%, and also shipped a privacy-preserving but compliance-aware ERC-20 transaction layer using Noir and ZK proofs, processing 1000+ anonymous compliant transactions in just 2 weeks.”
Ankur k
Entry-level Smart Contract Engineer specializing in DeFi and blockchain systems
“Full-stack product builder with experience owning a B2B bulk-purchase negotiation feature end to end and layering AI into real workflows like invoice generation. Also built an agentic deployment tool using LangGraph, MCP, OCR, and Playwright to automate app deployment to platforms like Vercel and Render.”
“Frontend-focused full-stack developer who built ApplyFlow, a job application tracking platform with reusable dashboard and Kanban components, real-time updates, and responsive UX. Also worked on a UI Replay project for visualizing high-frequency user interaction data, showing strength in performance-sensitive React applications.”
Pranav Marla
Mid-level AI/ML & Full-Stack Engineer specializing in LLM agents and generative AI
“LLM/agent builder who shipped a live consumer AI-agent app (kalpa.chat) that visualizes complex reasoning as interactive graphs and abstracts multi-provider model usage via a unified wallet. Professionally has applied LangChain/LangGraph to IVR parsing and to scaling a football video-generation pipeline at DAZN, including shipping a VAR-specific retrieval/order fix via SQL after iterating with a non-technical PM.”
Shireesh Kumar Poral Ashok Kumar
Senior Full-Stack Developer specializing in cloud-native web applications
“Full-stack engineer who built an oil & gas analytics dashboard backend using FastAPI, MongoDB, and Redis with a metadata-driven design for dynamic plotting. Shipped an LLM-powered chatbot (LangChain + tool/function calling) to let engineers query analytics in natural language, and also built a multi-step university chatbot workflow with Azure logging, confidence scoring, and human-in-the-loop review.”
Varun Vekaria
Junior Full-Stack Software Developer specializing in AI-powered web and health applications
“Built and launched “Language AI,” a Next.js/TypeScript app that clones a user’s voice (via ElevenLabs) to deliver language lessons in their own voice, using Supabase for auth/Postgres/storage and hosting backend on Render. Post-launch, identified ElevenLabs voice-clone limits after initial users and reworked the pipeline to store audio assets and delete clones to support more concurrent users; also added Google auth to improve adoption. Previously worked in a high-growth startup environment (Study Park) taking concepts from ideation to production.”
Nicholas Huang
Mid-level Full-Stack Developer specializing in FinTech web applications
“Front-end engineer experienced modernizing legacy React/TypeScript applications, including building a highly customized navigation system controlled by feature flags and documenting it for cross-team adoption. Demonstrates strong performance optimization skills (profiling, provider refactors, memoization) and deep debugging ability, including resolving UI jank traced to Reach Router’s accessibility-driven focus behavior.”
Tyler Stroud
Executive Engineering Leader specializing in AdTech and scalable cloud platforms
“Engineering leader with experience in small, bootstrapped startups and exposure to VC environments, currently pursuing CTO-level opportunities. Thrives in fast-iterating, high-uncertainty settings and emphasizes data-driven clarity plus strong problem/market validation when evaluating new ventures.”
Tej Sidda
Entry-level Full-Stack Engineer specializing in AI sales automation
“Built both a fantasy sports analytics product and a privacy-sensitive AI assistant for therapists, showing range across consumer and healthcare use cases. Particularly notable for designing self-hosted, HIPAA-conscious LLM systems with RAG, structured outputs, observability, and human-in-the-loop guardrails for clinical workflows.”
Yves Desjardins
Mid-Level Software Engineer specializing in front-end web applications
“Frontend engineer who led Later’s end-to-end “Social listening” product build, driving architecture decisions through close collaboration with product, design, and backend. Also spearheaded a staged JS-to-TS migration by running knowledge-transfer and pair-programming sessions, and ships quickly with CI/CD, feature flags, and strong automated testing practices.”
Daanesh Potnuri
Mid-Level Full-Stack Engineer specializing in API-driven microservices and cloud delivery
“Software engineer with hands-on experience building a decentralized file-sharing dApp, bridging a React frontend with Ethereum smart contracts via Web3.js and integrating IPFS for decentralized storage. Demonstrates a rigorous, measurement-driven approach to performance optimization (profiling + benchmark/regression loop) and strong ownership in high-stakes environments, including Fircosoft sanctions platform optimization and rapid production hotfixes for user-impacting issues.”
Elena(Jiyoung) Choi
Junior Software Engineer specializing in Applied AI and backend systems
“Full-stack/AI product engineer who has shipped both a production-style React finance app and multiple LLM-powered systems end-to-end. Particularly strong in turning early-stage AI concepts into production workflows, including a Bedrock-based multi-turn chatbot with durable session memory and a medical credentialing document parser that cut pipeline failures by 50%+ on large, messy real-world files.”
DuyAnh Nguyen
Mid-level Frontend Engineer specializing in FinTech web applications
“Frontend engineer with enterprise experience at Silicon Valley Bank / First Citizens Bank, focused on complex React and TypeScript interfaces. Has built multi-application workflow switching, optimized production rendering performance with profiling tools, and delivered map-based dashboards handling large datasets while keeping UX responsive and maintainable.”