Freelancers for "Engineering" in DelhiFreelancers for "Engineering" in Delhi

Search results for 'Engineering'

ProjectsPeople

Results that are similar to your search

Similar results

Johnny Ha's avatar
Johnny Ha
Alhambra, USA
Senior Full-Stack Engineer | Web Development | AI Automation
$5k+
Earned
1x
Hired
5.0
Rating
19
Followers
Senior Full-Stack Engineer | Web Development | AI Automation
Cover image for EVOKE - Mindfulness & Reflection Web Experience
$6K+ earned
EVOKE - Mindfulness & Reflection Web Experience
4
18
Cover image for Luxury Jewelry E-Commerce Website – Gemsparx Front-End & Ful...
Luxury Jewelry E-Commerce Website – Gemsparx Front-End & Full-Stack Developer (React & Node.js) Gemsparx is a luxury jewelry marketing and e-commerce website designed to showcase diamonds, fine jewelry, and custom design services with a high-end user experience. I developed this project using React for a fast, responsive front end and Node.js for backend functionality. The focus was on creating a visually elegant, conversion-friendly interface while maintaining performance, scalability, and clean code architecture. The website features structured product categories, promotional sections, custom design workflows, and a modern UI optimized for both desktop and mobile users. This project demonstrates my ability to build premium marketing websites that align with luxury brand aesthetics and business goals.
5
23
415
Cover image for MSPTerms – SaaS Platform for Document Management & MSP Opera...
MSPTerms – SaaS Platform for Document Management & MSP Operations http://mspterms.com/ I developed a scalable SaaS web application for MSPTerms, a document management and business strategy platform designed for managed service providers (MSPs). The project involved building a fast, secure, and intuitive user interface using Nuxt.js, including authentication flows, dashboard layouts, and responsive landing pages. I focused on performance optimization, clean UI/UX, and seamless user experience across devices. The result is a modern, production-ready SaaS platform that enables MSPs to manage documents, streamline operations, and support business growth with a professional, easy-to-use system.
4
14
304
Cover image for I help teams and founders ship reliable, scalable full-stack...
I help teams and founders ship reliable, scalable full-stack applications from early MVPs to production systems used at scale. As a Senior Full-Stack Developer, I focus on: Building clean, maintainable frontends with strong UX foundations Designing resilient backends, APIs, and data models Making pragmatic tech decisions that hold up over time Shipping fast without cutting corners What I typically work on: SaaS platforms & internal tools Complex dashboards and data-driven apps API-first systems and integrations Performance, refactors, and technical debt cleanup I’m opinionated about code quality, architecture, and ownership but flexible about tools and stacks when the problem calls for it. If you need someone who can own features end-to-end, communicate clearly, and think beyond just “making it work,” let’s talk.
14
225
Fullstack Engineer(8)
Software Engineer(2)
UX Engineer(2)
AI Engineer(1)
Frontend Engineer(1)
Data Engineer(1)
DevOps Engineer(1)
Russell Williamson's avatar
Russell Williamson
proLittle Rock, USA
Business Systems Architect | RVW Systems
1x
Hired
5.0
Rating
7
Followers
Business Systems Architect | RVW Systems
Cover image for Building Tether — From Noisy
Building Tether — From Noisy Telemetry to Deterministic Operations Role: Lead Architect & Full-Stack Developer Tech Stack: React, Cloudflare (Pages, Workers, R2, Zero Trust), Google Cloud Platform (Cloud Run, Cloud Storage), Python, FastAPI, Scikit-Learn. The Challenge: The Hospitality Data Gap Modern hospitality operators are drowning in data but starving for actionable intelligence. A restaurant's two most critical systems—the Point of Sale (revenue) and the scheduling platform (labor)—operate in complete isolation. Because these systems do not dynamically communicate, managers are forced to make high-stakes labor cuts on the fly based on delayed reporting and gut feeling. This disconnect results in thousands of dollars of weekly margin bleed. The challenge was clear: build a system that bridges these fragmented APIs, normalizes the data, and provides real-time operational certainty. The Solution & The Product Pivot I engineered Tether to be an AI-native operational layer for restaurant management. However, the true breakthrough of this project wasn't just technical—it was architectural. Initially, I designed Tether as a "Live Data Prediction Tool" that used active telemetry to drive real-time floor decisions. Through testing and auditing the data streams, I identified a critical UX flaw: live data is inherently noisy and reactive. To solve this, I executed a complete priority inversion, refactoring the application state to a "Schedule-First" philosophy. Instead of chasing live data, Tether now ingests historical data to generate a deterministic, highly optimized 14-day schedule baseline. The machine learning models were strategically demoted from "decision makers" to "real-time guardrails." Once the floor opens, Tether acts as a safety net, validating execution against the baseline and alerting managers to profit leaks before they compound. Technical Execution: A Masterclass in Edge ML To ensure security, scale, and sub-100ms latency, I architected Tether as a zero-backend Single Page Application (SPA) driven by serverless microservices. Edge Infrastructure & Security: The frontend is deployed via Cloudflare Pages and secured behind a Cloudflare Zero Trust perimeter, requiring One-Time PIN (OTP) authentication for operator access. Data Normalization: I developed Cloudflare Worker proxies to securely handle OAuth handshakes, ingest data from POS systems (Square, Toast) and labor platforms (7shifts), and normalize the varied streams into a unified, sanitized client schema. Autonomous ML Pipeline: I engineered a fully autonomous, serverless retraining loop hosted on Google Cloud Run. Every Tuesday at 3:00 AM UTC, the pipeline wakes up, pulls historical telemetry from Cloudflare R2, and retrains the primary Approval and Labor-to-Sales (LTS) models (using Ridge and Logistic Regression). Strict Data Contracts: The ML pipeline strictly enforces a 63-feature data contract. It validates baseline accuracy and ensures zero NaNs before allowing any model to pass into production, guaranteeing operational stability. Highly Optimized Model Distribution: Fresh model weights are served to the browser via a Dockerized FastAPI microservice (kept aggressively lean at ~500MB) and distributed globally through Google Cloud Storage (GCS). The Business Impact Tether replaces the anxiety of restaurant management with mathematical certainty. By automating the schedule generation and monitoring real-time Labor-to-Sales (LTS) velocity, Tether catches margin bleed live—such as a sudden drop in patio sales pace due to weather. It translates complex ML predictions into simple, actionable alerts (e.g., "Trim one support role. Protects $190 margin."). The result is protected daily profit margins, guaranteed labor compliance, and management teams empowered to run their floors with absolute confidence.
0
86
Cover image for AI Guest-Flow Intelligence System Design
AI Guest-Flow Intelligence System Design
0
2
Cover image for Tether is a custom middleware
Tether is a custom middleware solution engineered to eradicate one of hospitality's most expensive bottlenecks: the gap between legacy POS systems and labor scheduling. By leveraging Make.com (http://Make.com) for high-frequency API polling, Tether automatically cross-references live sales data with time punches and maps it into a unified, real-time dashboard. Zero manual reporting, zero data silos—just instant visibility into labor-to-sales ratios.
1
1
167
Cover image for I'm currently designing an AI-assisted
I'm currently designing an AI-assisted guest-flow intelligence system for a confidential large-scale immersive entertainment venue. The venue already has an extensive hardwired camera network. The goal is not to replace it. It's to turn selected camera feeds into a new operational intelligence layer. System Architecture The proposed system uses a dedicated onsite NVIDIA-powered AI server to: Detect guests anonymously without facial recognition Associate guests into temporary operational groups Display numbered group markers on a live floor map Measure dwell time, occupancy, pacing, and group gaps Identify developing slowdowns, compression, and bottlenecks Monitor participating camera feeds Generate end-of-shift operational reports Two Complementary Interfaces Live Map Overview A command-center display showing where anonymous guest groups are located, how many people each marker represents, and where congestion is developing. Route Operations Dashboard A simplified dashboard built for fast decisions, tablets, and mobile viewing. It shows the active problem, its severity, and the recommended response. The Hard Engineering Problem The system is designed around the venue's existing cameras and DVRs, using controlled read-only video streams and local processing. All operational video analysis and event data remain onsite. The hardest part is not creating a beautiful dashboard. It is engineering reliable tracking through darkness, fog, strobes, costumes, occlusion, and non-overlapping camera views while honestly displaying uncertainty when a handoff cannot be confirmed. Current Work Technical architecture Computer-vision validation planning Onsite server design (custom NVIDIA build) Camera and zone mapping Route-aware group handoff logic Event database design Live dashboard prototyping Acceptance testing and deployment planning The Approach This is the kind of project I enjoy most: taking infrastructure a business already owns and transforming it into a system that helps the operation see more, respond faster, and make better decisions. Existing surveillance becomes operational intelligence.
0
33
AI Engineer(5)
Systems Engineer(5)
DevOps Engineer(2)
Software Engineer(1)
Fullstack Engineer(1)
Security Engineer(1)
Data Engineer(1)
Ari Harrison's avatar
Ari Harrison
proSan Francisco, USA
AI & ML Engineer
$1k+
Earned
7x
Hired
28
Followers
AI & ML Engineer
Cover image for AI Vested An AI-powered investment platform
AI Vested An AI-powered investment platform with Claude AI integration. Deploy in minutes, no local setup required.
0
262
Cover image for AI Groceries An AI-powered online grocery
AI Groceries An AI-powered online grocery delivery platform built with Next.js 15, React 19, Supabase, Claude API, and Stripe. Designed around "The Harvest Table" philosophy -- abundant, warm, and grounded in real food provenance.
1
239
Cover image for Biglabs Consulting-grade template for professional services
Biglabs Consulting-grade template for professional services firms. Manage case studies, articles, services, careers, testimonials, and client consultations with AI-powered analytics. Deploy in minutes, no local setup required. Features Thought Leadership — Publish articles and insights with categories, excerpts, and rich content Service Pages — Present your consulting services with detailed descriptions and feature lists Consultation Booking — Public intake form for prospective clients with scheduling preferences Careers Portal — Post open positions with departments, requirements, benefits, and salary ranges AI Analytics — Claude-powered insights and reporting on your consulting data And more.....
0
244
Cover image for Invoice & Inventory Management A comprehensive
Invoice & Inventory Management A comprehensive invoice and inventory management system with Claude AI integration. Deploy in minutes, no local setup required. Features: Professional Invoicing - Create, send, and track invoices Inventory Tracking - Monitor stock levels with automatic alerts Customer Management - Centralized customer database Analytics Dashboard - Revenue charts and profit/loss reports Stock Alerts - Low stock and out-of-stock notifications Claude AI Assistant - AI-powered business insights Demo Mode - Works instantly without any configuration
1
1
145
AI Engineer(9)
Fullstack Engineer(5)
ML Engineer(3)
UX Engineer(2)
Data Engineer(2)
Design Engineer(1)
Software Engineer(1)
Ugo Chukwu's avatar
Ugo Chukwu
proDubai - United Arab Emirates
Automation Engineer - n8n + Supabase + Codex, OpenClaw 🚀
$10k+
Earned
6x
Hired
5.0
Rating
44
Followers
BUILDSHIP_EXPERT

expert

Automation Engineer - n8n + Supabase + Codex, OpenClaw 🚀
Cover image for IOS Risk Data Foundry — Domain-Specific Financial Risk AI
IOS Risk Data Foundry — Domain-Specific Financial Risk AI
1
10
Cover image for ML Evaluation Infrastructure for Fraud Detection
ML Evaluation Infrastructure for Fraud Detection
0
9
Cover image for UGC Video Prompt Automation System
UGC Video Prompt Automation System for Ad SaaS Designed and implemented a prompt-generation system that converts structured ad scripts into best-in-class, scene-level video generation prompts for UGC-style TikTok/Reels ads. The workflow ingests Agent 2 outputs (concept, scenes, hooks, body, CTA, product positioning) and applies reusable prompt templates and logic to enforce character consistency, natural speech patterns, realistic lighting/camera imperfections, and casual, native social media aesthetics. Delivered a production-ready specification for Agent 3 integration, a reusable prompt library, and a fully generated UGC-style video produced end-to-end with this system.
1
194
Cover image for Multi-Processor Payment Reconciliation Automation
Multi-Processor Payment Reconciliation Automation
1
26
ML Engineer(3)
AI Engineer(2)
Software Engineer(2)
Fullstack Engineer(2)
Data Engineer(2)
Frontend Engineer(1)