Freelance AI Engineers in Gurugram

Freelance AI Engineers in GurugramFreelance AI Engineers in Gurugram

Projects People

pro

New Delhi, India

Mobile App Architect • React Native Expert • 50+ App Shipped

5.0: Rating

9: Followers

Mobile App Architect • React Native Expert • 50+ App Shipped

Cover image for GymCare Management System Development

GymCare Management System Development

1

1

Cover image for Stellar Baby Mobile Application

Stellar Baby Mobile Application

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4

Cover image for Rizz AI: Image Generation App Development

Rizz AI: Image Generation App Development

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2

Cover image for Voice-First Productivity App Development

Voice-First Productivity App Development

1

2

Dishant | Ex - Instantly, Copilot, Loti

max

Gurugram, India

Full Stack Engineering | Framer Expert | Figma | AI/ML

$25k+: Earned

8x: Hired

5.0: Rating

79: Followers

Full Stack Engineering | Framer Expert | Figma | AI/ML

Cover image for Materiaz - AI Powered Materials Intelligence Platform

Materiaz - AI Powered Materials Intelligence Platform

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4

Cover image for Custom Shopify E-commerce UX & Development

Custom Shopify E-commerce UX & Development

1

1

Cover image for Fitness & Coaching Platform Design

Fitness & Coaching Platform Design

1

12

Cover image for Chateeze AI Chat Platform | Web Design & Development

Chateeze AI Chat Platform | Web Design & Development

1

5

Building MVPs for startup founders with clean UX in a week.

1x: Hired

5.0: Rating

56: Followers

Building MVPs for startup founders with clean UX in a week.

Cover image for Tenderseal - AI-Driven Tender Management Platform Development

Tenderseal - AI-Driven Tender Management Platform Development

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0

Cover image for Reqwest - Designing an Efficient API Testing Platform

Reqwest - Designing an Efficient API Testing Platform

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2

Cover image for SpongebobLabs - AI Research Lab Website Development

SpongebobLabs - AI Research Lab Website Development

1

2

Cover image for SaaSking AI - Enterprise Website Redesign

SaaSking AI - Enterprise Website Redesign

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0

Trashu Vashisth

Building Production-Grade AI Agents & RAG Systems

7: Followers

Building Production-Grade AI Agents & RAG Systems

Cover image for Built a highly scalable Retrieval-Augmented Generation

Built a highly scalable Retrieval-Augmented Generation (RAG) chatbot designed to interact with private datasets/PDFs. Unlike standard LLMs, this system minimizes hallucinations by retrieving real-time context from a local knowledge base before generating responses. Key Features: Semantic Search: Implemented Vector Embeddings to perform high-speed similarity searches across thousands of document chunks. Smart Retrieval: Integrated a retrieval pipeline using LangChain to fetch the most relevant context for user queries. Source Citation: Configured the bot to provide source references from documents, ensuring data transparency and accuracy. Optimized Performance: Used FAISS/Chromadb for efficient vector storage and retrieval.

4

184

Cover image for Developed a full-stack RAG-based E- Commerce

Developed a full-stack RAG-based E- Commerce AI chatbot using React.js and Tailwind CSS that suggests the perfect laptop from a live catalog. Integrated ChromaDB with BGE Embedding models to provide highly accurate, context-aware product recommendations and instant technical support." Key Highlights: Smart Laptop Recommendations: Uses Semantic Search to match user needs (gaming, coding, etc.) with real-time specs. Advanced Tech Stack: Powered by LangChain for orchestration and BGE models for superior data retrieval. Modern UI/UX: Built a responsive, clean interface using React.js and Tailwind CSS. Zero Hallucination: Ensures all suggestions are strictly grounded in the available product inventory.

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1

86

Cover image for Developed a high-precision Resume Parser using a

Developed a high-precision Resume Parser using a custom-trained RoBERTa model, specifically fine-tuned for Named Entity Recognition (NER) tasks. This tool automates the extraction of critical information from unstructured resumes with deep learning accuracy. Key Features: NER-Based Extraction: Accurately identifies entities like Name, Experience, Skills, Education, and Contact Info. RoBERTa Architecture: Leverages Transformer-based embeddings for superior contextual understanding compared to traditional parsers. JSON Output: Seamlessly converts complex resume layouts into structured JSON format for easy database integration and ATS (Applicant Tracking System) workflows. High Accuracy: Trained to handle diverse formatting and professional jargon.

3

151

Cover image for Developed an automated pipeline to

Developed an automated pipeline to handle bulk recruitment workflows. This AI-powered tool processes multiple PDF resumes simultaneously, using advanced parsing to extract candidate details with high accuracy. It intelligently structures unstructured resume data into a clean, downloadable CSV format, capturing essential metrics like skills, experience, and contact info without manual data entry.

4

232

Jagwinder Singh

pro

Full Stack Developer

Full Stack Developer

Cover image for AI Tattoo Generator App

AI Tattoo Generator App

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0

Logo Maker & Generator

0

0

Cover image for Second Line App for Private Secondary Phone Numbers

Second Line App for Private Secondary Phone Numbers

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0

Cover image for Redesign for Improved Engagement

Redesign for Improved Engagement

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0

Data & AI Engineer

Data & AI Engineer

Cover image for Problem:
Many organizations still process invoices

Problem: Many organizations still process invoices manually by reading PDF documents and entering key details (invoice number, vendor, amount, etc.) into systems. This process is slow, error-prone, and difficult to scale, and it also makes it harder to detect duplicate invoices or incorrect totals. Solution: This project builds an automated invoice processing pipeline that converts uploaded invoice PDFs into structured data. It uses OCR to extract text, LLMs to identify invoice fields, validation checks to ensure correctness, and Kafka-based event streaming to manage the processing pipeline. The extracted data is stored in PostgreSQL and visualized through a dashboard, enabling faster, scalable, and more reliable invoice processing.

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121

Cover image for A fully local RAG pipeline

A fully local RAG pipeline that transforms your PDFs into a queryable knowledge base using FAISS vector search and Ollama LLMs. No cloud, no API keys - just private, grounded document intelligence running entirely on your machine.

0

28

Cover image for
Problem Statement
Urban traffic management systems

Problem Statement Urban traffic management systems lack real-time, integrated data combining traffic conditions with weather patterns. This results in poor routing decisions, delayed emergency responses, and inefficient traffic flow management. Solution Developed a comprehensive real-time ETL pipeline that integrates traffic APIs and weather data sources, processes millions of data points, and delivers actionable insights through interactive dashboards for traffic management and route optimization.

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25

Cover image for A fully Dockerized real-time IoT

A fully Dockerized real-time IoT ETL pipeline that simulates device telemetry, processes events through MQTT and Kafka, orchestrates workflows with Airflow, and delivers real-time alerts and insights to CRM systems with monitoring via Grafana and Loki.

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45

I craft modern digital experiences with design-driven code.

New to Contra

I craft modern digital experiences with design-driven code.

Cover image for I developed a next-generation dental

I developed a next-generation dental appointment platform featuring a real-time conversational AI assistant. "AIvory" helps patients discover dentists and manage their dental health using voice commands. Voice AI Integration: Integrated Vapi AI to create "Riley," a conversational assistant capable of answering dental queries and guiding users. Location Intelligence: Built a discovery engine using OpenStreetMap and Leaflet.js to find real dentists within a 10km radius. Smart Scheduling: Engineered a 3-step booking flow with automated calendar integration (.ics generation) and Resend API email confirmations. Secure Infrastructure: Implemented Clerk for multi-factor authentication and role-based access control (Admin vs. User). Tech Stack: Next.js 15, Vapi AI, Prisma, PostgreSQL (Neon), Tailwind CSS 4.

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7

Cover image for Project Title: Tastify - Spotify for Recipes Description: "W...

Project Title: Tastify - Spotify for Recipes Description: "What if finding dinner was as easy as finding a song?" I designed Tastify to answer that question. It is a modern recipe discovery platform that borrows the intuitive UX patterns of music streaming apps to make cooking accessible Familiar Interface: Adapted the horizontal scrolling and category browsing patterns users already love. Rich Media Integration: Integrated the YouTube API for seamless in-app video tutorials. Smart Search: Built a responsive search system that filters by ingredients and recipe names instantly. Micro-interactions: Focused on fluid transitions and animations to create a premium "native" feel. Tech Stack: React Native, Expo, TypeScript, Figma.

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11

Cover image for Project Title: Interactive 3D Web Experience Description: I ...

Project Title: Interactive 3D Web Experience Description: I built this interactive portfolio to challenge standard web navigation patterns. By combining the power of Next.js with the visual capabilities of Three.js, I created a "gamified" browsing experience that encourages exploration. WebGL Integration: Advanced manipulation of 3D scenes within a React context. Creative UI/UX: Implementation of non-linear navigation and thematic dark mode. Performance: High-speed page transitions and optimized asset delivery. Tech Stack: Three.js, Next.js, Framer Motion.

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11

Cover image for Modern Video Streaming Interface :- A comprehensive recreati...

Modern Video Streaming Interface :- A comprehensive recreation of the Netflix web application, focusing on fluid user interactions and pixel-perfect design implementation. This project serves as a study in modern UI patterns and component composition Dynamic Portals: Created robust modal overlays for content details using React Portals to ensure proper stacking contexts. Cinematic Motion: Integrated Framer Motion to drive smooth, physics-based transitions for hover states and page navigation. Custom Video Engine: Developed a bespoke video player interface with custom controls and overlay logic using Video.js. Real-Time Data: Integrated the TMDB API to provide live search functionality and dynamic content categorization. Tech Stack: React, Material-UI, TMDB API, TypeScript.

0

9

Software Engineer | Python Scraper | Automation

Software Engineer | Python Scraper | Automation

Cover image for AI Chatbot for College Assistance Development

AI Chatbot for College Assistance Development

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1

Cover image for Client Dashboard

Client Dashboard

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0

Cover image for Horse Racing Automation Software Development

Horse Racing Automation Software Development

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