Freelance AI Engineers in Delhi

Freelance AI Engineers in DelhiFreelance AI Engineers in Delhi

Projects People

pro

Ghaziabad, India

Full Stack Developer | AI Tool, Web App, MVP & SaaS Products

$10k+: Earned

4x: Hired

4.9: Rating

20: Followers

Full Stack Developer | AI Tool, Web App, MVP & SaaS Products

Cover image for Innovation Intelligence Platform

Innovation Intelligence Platform

1

7

Cover image for AI Search Optimization Platform

AI Search Optimization Platform

1

9

Cover image for Flight Booking Platform

Flight Booking Platform

1

6

Cover image for Digital Business Card Platform

Digital Business Card Platform

1

4

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

1

4

Cover image for Rizz AI: Image Generation App Development

Rizz AI: Image Generation App Development

1

2

Cover image for Voice-First Productivity App Development

Voice-First Productivity App Development

1

2

Pratyush Pushkar

Web Developer building beautiful and modern websites

Web Developer building beautiful and modern websites

Cover image for PDFHero Development

PDFHero Development

0

0

Cover image for ParadoxGPT AI System

ParadoxGPT AI System

1

0

Cover image for FormCraft Development Project

FormCraft Development Project

1

0

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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

0

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

0

0

Cover image for Reqwest - Designing an Efficient API Testing Platform

Reqwest - Designing an Efficient API Testing Platform

2

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

0

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.

2

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

0

0

Cover image for Second Line App for Private Secondary Phone Numbers

Second Line App for Private Secondary Phone Numbers

0

0

Cover image for Redesign for Improved Engagement

Redesign for Improved Engagement

0

0

Cover image for Development of a Scalable Food Delivery App

Development of a Scalable Food Delivery App

0

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.

3

3

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.

0

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.

0

45