Vetted Web Development Professionals

Pre-screened and vetted.

MB

Mahesh Babu

Screened

Mid-level Full-Stack Developer specializing in cloud-native FinTech systems

New York, NY4y exp
Goldman SachsClemson University

Built a lightweight internal JavaScript analytics tracker capturing user interactions (clicks, page views, custom events) with debounced batching, automatic session tracking, and offline event caching via a localStorage-backed append-only queue. Demonstrates practical performance optimization mindset (profiling, memoization/caching) and React performance tuning.

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Maranatha Ilesanmi - Senior Frontend Engineer specializing in React and TypeScript in Kitchener, Canada

Senior Frontend Engineer specializing in React and TypeScript

Kitchener, Canada11y exp
CartaObafemi Awolowo University

Frontend engineer with deep experience modernizing KYC flows at Carta, including rebuilding country-specific KYC forms into a scalable configuration + validation-schema system that cut new-jurisdiction support from 2–3 months to ~2 weeks. Strong on quality and rollout practices (E2E/backend testing, early QA engagement, staged/A-B rollouts) and performance optimization for heavy React/TypeScript dashboards using Intersection Observers for lazy loading.

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Zuocheng Li - Entry-Level Software Engineer specializing in full-stack web and Android development in San Jose, CA

Zuocheng Li

Screened

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

San Jose, CA0y exp
San José State UniversityUSC

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).

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Bernie Miao - Junior Full-Stack Software Engineer specializing in EdTech and AI-powered learning tools in Berkeley, CA

Bernie Miao

Screened

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

Berkeley, CA2y exp
CollegeNETUC Berkeley

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.

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Pahuldeep Singh - Senior Full-Stack Developer specializing in scalable web platforms and automation in Remote

Senior Full-Stack Developer specializing in scalable web platforms and automation

Remote6y exp
CalianGeorgia Tech

Backend/full-stack engineer focused on TypeScript/Node.js systems, with hands-on ownership of a real-time telemetry and dashboard platform built on Kafka, Debezium, PostgreSQL, and GraphQL. Stands out for combining event-driven architecture, correctness/idempotency patterns, strong observability, multi-tenant security, and developer-friendly API design in production environments.

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JL

Director-level Full-Stack Engineer specializing in web platforms and APIs

New York, NY26y exp
8 Bit Bricks LLCNJIT

Built Bargain Bricks end-to-end as a solo creator, handling product ideation, design, backend, APIs, website, and native iOS/Android apps. They actively maintain and iterate on the product, which has over 1,000 downloads, and have improved conversion through UI changes that surfaced the best deal above the fold.

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JY

Jing Yang

Screened

Senior Machine Learning Engineer specializing in NLP and generative AI

McLean, VA8y exp
Capital OneUniversity of Utah

ML/AI engineer focused on production NLP and voice AI systems in the restaurant tech space, with hands-on work spanning ASR, intent classification, LLM fine-tuning, and deployment monitoring at Presto AI. They highlight a 15% improvement in full-AI ordering rate and also built a restaurant sentiment analysis product at Wisely that they say became a standout feature in a $10M acquisition context.

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RP

Raj Patel

Screened

Mid-level Full-Stack Software Engineer specializing in cloud-native web applications

Canton, Michigan3y exp
DiscoverUniversity of Michigan

Backend engineer with hands-on experience scaling a Python/Flask incident-logging platform processing thousands of daily logs. Strong in performance tuning (PostgreSQL/SQLAlchemy query optimization, partitioning, summary tables) and reliability patterns (Redis caching, Celery background workers, Docker + Jenkins CI/CD), with some multi-tenant data isolation experience via separate DBs/schemas.

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KL

Kangjie Lu

Screened

Intern Full-Stack Software Engineer specializing in data pipelines and AI/ML systems

Beijing, China1y exp
Shanghai Wanwu Zhiyun Industrial Technology Co., Ltd.Carnegie Mellon University

Software engineer with experience building a Vue.js/TypeScript internal component library (with Jest testing standards) and improving JS runtime performance via profiling, code splitting, and lazy loading. Also led documentation and community support for a Python ML utility library, diagnosing metric-calculation bugs for imbalanced datasets and driving large reductions in support inquiries through targeted docs, tests, and rapid hotfixes in a startup environment.

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SZ

Junior AI/Backend Software Engineer specializing in ML and scalable systems

Dallas, TX2y exp
PMGUniversity of Maryland, College Park

Backend engineer with strong AWS/CI/CD experience (multi-repo deployments, Lambda + core app, immutable ECR and image promotion) and a published master’s thesis building an ML framework for Solar PV energy prediction and CO2 reduction impact modeling using ensemble and meta-learning approaches benchmarked against SAM.

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BJ

Bryan Jewell

Screened

Executive Finance & Operations Leader specializing in consumer subscription growth

Dallas, TX22y exp
FreelanceUniversity of Texas at Austin

Operations/finance-focused advisor with experience helping early-stage companies build lightweight but effective operating systems—monthly financial reporting, KPI frameworks tied to revenue levers, and forecasting cadences using tools like QuickBooks and Metabase. Has also implemented scalable request-prioritization (Jira) and guided founder/executive org design changes, including transitioning a founder to president while elevating an internal leader to CEO.

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DJ

Mid-level Full-Stack Developer specializing in cloud microservices and internal tooling

4y exp
The Home DepotUniversity of Central Missouri

LLM/RAG engineer who has shipped production systems in high-stakes domains (fraud analytics at Mastercard and security compliance as a CI/CD gate). Strong focus on reliability: hybrid retrieval for latency, citation-backed outputs for trust, and code-driven eval/regression pipelines using golden datasets. Also built scalable OCR-based ingestion for messy classroom artifacts (handwriting, PDFs, whiteboard photos) using Go/Python and cloud services.

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Jeff Cushler - Executive Technology & Product Leader specializing in Healthcare IT, SaaS, and Cloud Transformation in Austin, TX

Jeff Cushler

Screened

Executive Technology & Product Leader specializing in Healthcare IT, SaaS, and Cloud Transformation

Austin, TX30y exp
AvicenaThe College of Wooster

Startup product/enterprise-stack builder who helped take Ventric Health from R&D to a market-launched healthcare product in 2024, operating in a $34M-raised, revenue-generating model leveraging Medicare C reimbursement through providers. Previously drove adoption of an integrated K-12 digital learning platform distributed to 100+ institutions over two years, with reported improvements in test scores.

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Elbot Carman - Senior Creative & Brand Designer specializing in brand systems, digital marketing, and UI/UX in Atlanta, GA

Elbot Carman

Screened

Senior Creative & Brand Designer specializing in brand systems, digital marketing, and UI/UX

Atlanta, GA13y exp
American ExpressFull Sail University

Brand/marketing designer with experience modernizing a SaaS company’s identity (Hudson MX) and improving external perception through cohesive brand systems and asset libraries. Also supported American Express by building a scalable Figma component library to rapidly recreate UI screenshots with high fidelity using in-product access and Chrome DevTools for exact specs, and produced stakeholder interview videos for LinkedIn/Vimeo in Adobe Premiere.

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YL

Yunjie Liu

Screened

Junior Software Engineer specializing in bioinformatics and full-stack development

Remote3y exp
Baylor GeneticsCornell University

Built and stabilized production data pipelines in clinical genomics, including integrating a qPCR step into Baylor Genetics' workflow with a focus on reliability, turnaround time, and reducing manual intervention. Also has hands-on LLM production experience, creating a Python/OpenAI-based translation evaluation pipeline that reduced manual review time by 70% and improved scoring consistency.

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JS

Jim Saunders

Screened

Executive CTO and software engineer specializing in FinTech platforms

Austin, TX18y exp
AccelpayUniversity of Kentucky

CTO-oriented engineering leader who emphasizes building and mentoring teams while aligning technology work to real business needs through close collaboration with product stakeholders. Also has entrepreneurial exposure, including an alcohol-related startup and prior experience securing funding.

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SB

Shrey Bahadur

Screened

Intern Software Engineer specializing in full-stack web development and AI

Boston, MA0y exp
athenahealthUniversity of Massachusetts Amherst

Software engineer with experience building internal tools and admin consoles, including a stealth startup database management console and a Fidelity internship project that transformed QA test coverage tracking from unwieldy Excel sheets into a clearer, more actionable UI. Strongest signals are end-to-end ownership, modular app design, and practical iteration based on user feedback.

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GS

Gihyun Shim

Screened

Junior Machine Learning & Robotics Engineer specializing in diffusion models and autonomous control

Philadelphia, PA3y exp
DreamLayerUniversity of Pennsylvania

UPenn robotics researcher who architected a real-time autonomous driving decision-making engine, integrating LSTM trajectory prediction with MPC in CARLA and adding conformal prediction to deliver 95% statistical safety guarantees under strict latency constraints. Also built and debugged an autonomous quadrotor stack with ESKF-based 6-DoF tracking and optimized A*/Dijkstra planning to eliminate latency-induced instability, with experience bridging heterogeneous simulation/control systems.

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JW

Jenny Wu

Screened

Junior Biomedical Engineering student and full-stack developer specializing in robotics & computer vision

3y exp
FuelCell EnergyUniversity of Waterloo

Robotics/software engineer who deployed a Raspberry Pi computer-vision-controlled 3-axis platform at FuelCell Energy, improving screen-print alignment from >10mm to 0.01mm repeatability via encoder-based closed-loop PID control. Currently designing an AI-enabled hearing-aid accessory for the cocktail party problem using a multi-mic array, beamforming, and an edge-accelerated neural network with <10ms latency via shared-memory DSP integration.

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TR

Mid-level .NET Full-Stack Developer specializing in Azure and enterprise web apps

TX, USA4y exp
ExxonMobilUniversity of Central Missouri

JavaScript engineer with hands-on experience improving performance in data-heavy table UIs (thousands of rows), including an open-source DataTables extension fix that reduced redundant AJAX calls via debouncing and was merged upstream. Comfortable profiling/benchmarking, optimizing DOM and network behavior, and collaborating with OSS maintainers through GitHub issues/PRs while also producing clear developer documentation and quick-start examples.

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LM

Ludovic Morin

Screened

Entry-Level Machine Learning Engineer specializing in deep learning and statistical modeling

Québec City, Canada0y exp
Laval UniversityCornell University

Cornell master’s student (CS/Stats) focused on research-heavy ML projects: implemented a sparsity-driven RL approach (DAPD + Soft Actor-Critic) that maintained stable learning even with ~95% of weights removed in OpenAI Gym continuous-control tasks. Also worked on diffusion-based computer vision with conditioning and latency-focused U-Net choices, and scaled unsupervised community detection on a 50k-node/800k-edge Reddit graph via BFS subgraph sampling.

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Yun-Ting Chiou - Junior Full-Stack Software Engineer specializing in TypeScript, React, and Java microservices in Chicago, IL

Junior Full-Stack Software Engineer specializing in TypeScript, React, and Java microservices

Chicago, IL2y exp
Prospect EquitiesUniversity of Chicago

Software engineer with finance-domain experience who built an internal transaction management system end-to-end at Prospect Equities (TypeScript/React Native + Java Spring Boot microservices on AWS), delivering 40% lower query latency and 73% operational efficiency gains. Has also designed Terraform-provisioned, SQS-based distributed systems and scaled workloads to 10,000+ concurrent users, including monolith-to-SOA modernization that cut internal review time by 47%.

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Karen Scrivano - Senior Brand Strategy & Marketing Leader specializing in digital, AI prompting, and customer success in Los Angeles, CA

Senior Brand Strategy & Marketing Leader specializing in digital, AI prompting, and customer success

Los Angeles, CA17y exp
Calahan KoomeraNYU

Marketing/CRM-focused campaign lead with enterprise financial-services rebrand experience, spanning new website and copy creation through national social/digital promotion. Uses Google Analytics and ongoing reporting/QBRs to optimize to KPIs, drive ROI, and successfully retain and upsell clients while expanding reach into new demographics.

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Utkarsh Mittal - Intern Data Scientist specializing in computer vision and LLM agents in Sunnyvale, CA

Intern Data Scientist specializing in computer vision and LLM agents

Sunnyvale, CA0y exp
Covalent MetrologyNYU

Software engineering candidate with hands-on experience building and shipping LLM agents: created a production AI enrichment/coding agent at Covalent Metrology using Apollo.io + OpenAI, and built a Mistral hackathon router that dynamically selects among models to reduce token cost while maintaining quality. Also developed a real-time financial margin analysis agent that emails actionable insights and iterated on reliability issues (e.g., fixing misrouted emails, improving news relevance filtering).

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