Freelance AI Engineers in Sonipat
Freelance AI Engineers in Sonipat
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AKASH VASHISHTHA
pro
Delhi, India
Versatile Fullstack Engineer | Web & Mobile Expert
$50k+
Earned
5x
Hired
5.0
Rating
103
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Top
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Versatile Fullstack Engineer | Web & Mobile Expert
0
Légacie Phase 1
0
9
1
Realm - Social Media Platform for Music Producers and Artists
1
120
2
TestBest | LSAT® Prep & Tutoring
2
145
3
AI Platform Stabilization and Enhancement for Kaie
3
102
AI Engineer
(1)
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Tannu Antil
Delhi, India
developer
New to Contra
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developer
0
Shoplifting Detection System (Computer Vision) The Shoplifting Detection System is an AI-powered surveillance solution designed to identify suspicious behavior in retail environments using computer vision and deep learning. The system analyzes real-time video from CCTV cameras to detect potential theft activities. It was trained on a dataset of 70,000+ images and uses a YOLO-based object detection model to recognize suspicious actions. When abnormal behavior is detected, the system triggers automated alerts and saves video clips for further review, improving retail security and loss prevention.
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Signify - ISL Signify is a web-based AI system designed to translate Indian Sign Language (ISL) gestures into text and audio in real time, helping bridge communication gaps for people with hearing and speech impairments. The project uses computer vision and machine learning to detect hand gestures through a camera and convert them into understandable language. The system was trained on a dataset of over 260,000 gesture images, enabling accurate recognition of different ISL signs. The model processes live video input, identifies hand gestures, and instantly generates corresponding text and speech output. The platform also includes learning features such as quizzes and a sign dictionary, making it useful for both communication and educational purposes. The project focuses on real-time image processing, gesture recognition, and accessibility-driven AI solutions.
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✨ Welcome to Aurelia Pixie 🌸🖤 A creative fashion and aesthetic inspiration space where every post is designed with elegance, style, and personality. This project focuses on creating high-quality posters, fashion edits, moodboards, and trendy visual content that blends soft aesthetics with bold modern vibes. From dreamy outfits and Pinterest-inspired designs to aesthetic lifestyle visuals, every post is carefully crafted to inspire creativity and style lovers worldwide. ✨ Follow the journey of aesthetic storytelling through visuals, fashion inspiration, and beautifully designed content. Aurelia Pixie Website Pinterest: @aureliapixie01
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Aureli Apixie (https://aureli-apixie.lovable.app) is a modern AI-powered web experience built using the Lovable platform, focused on sleek design, interactive user experience, and smart digital functionality. The site reflects a clean aesthetic with a futuristic and minimal interface, making it feel premium and visually engaging. It appears to combine: Elegant UI/UX styling Responsive web design AI-integrated workflow or automation features Smooth navigation and lightweight performance Startup-style branding with a modern creative feel The platform is likely built using Lovable AI, an AI website and app builder that allows creators to generate websites and apps through prompts and natural language. Lovable is known for helping users quickly build full-stack apps, landing pages, dashboards, and interactive tools without heavy coding knowledge. Overall, Aureli Apixie gives the vibe of: an AI startup landing page, a digital product showcase, or a futuristic creative-tech brand website. It uses a polished, soft-modern visual identity that fits current 2026 web design trends such as: glassmorphism, minimal luxury layouts, neutral palettes, AI-inspired branding, and immersive scrolling experiences.
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51
AI Engineer
(2)
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Pratyush Pushkar
Sonipat, India
Web Developer building beautiful and modern websites
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Web Developer building beautiful and modern websites
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PDFHero Development
0
0
1
ParadoxGPT AI System
1
0
1
FormCraft Development Project
1
0
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Ajay Bidyarthy
pro
Delhi, India
AI Engineer - Python, React, Node, FastAPI, SQL, AWS, APIs
12
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AI Engineer - Python, React, Node, FastAPI, SQL, AWS, APIs
1
A multi-tenant architecture is a software architecture where a single application instance serves multiple customers (tenants) while keeping each tenant's data and configuration isolated. Example Imagine a SaaS CRM platform: - Company A uses the CRM. - Company B uses the same CRM. - Company C uses the same CRM. All three companies share the same application, but: -> Their users only see their own data. -> Their settings, branding, and permissions can be different. -> The platform provider maintains only one codebase.
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AI Chatbot Application Development
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611
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I offer AI, data science, analytics, software development, cloud computing, cybersecurity, and digital transformation services for startups and enterprises. My expertise includes machine learning, generative AI, big data analytics, business intelligence, web and mobile app development, IoT solutions, and enterprise automation. I also provide consulting, staffing, and industry-specific solutions for healthcare, finance, retail, insurance, energy, and supply chain businesses.
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Title: AI App Development | LLMs, Chatbots, RAG & Automation Solutions Description: I design and develop intelligent AI-powered applications that automate workflows, enhance user experience, and unlock actionable insights. From custom chatbots to advanced LLM-based systems, I build scalable and production-ready solutions tailored to your business needs. Whether you're a startup looking to integrate AI or an enterprise aiming to optimize operations, I deliver robust, efficient, and future-ready AI systems. What I Offer: ✔Custom AI applications using LLMs ✔Chatbot development (GPT, Claude, RAG-based) ✔AI workflow automation (N8N, Zapier, Make) ✔API integrations and backend systems ✔AI SaaS product development Tech Stack: Python, FastAPI, LangChain, OpenAI, Claude, Supabase, PostgreSQL, React, Next.js, AWS
1
116
AI Engineer
(2)
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Jagwinder Singh
Delhi, India
Full Stack Developer
7
Followers
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Full Stack Developer
0
AI Tattoo Generator App
0
2
0
AI Agent Tutor Mobile App An AI personal tutor mobile application designed for learners of all ages, from students to professionals. The app provides personalized guidance, explanations, skill development, and interactive learning across multiple subjects and topics. Key Features: > AI tutor conversations for learning any topic > Personalized learning paths based on user goals and skill level > Support for academics, professional skills, coding, languages, and general knowledge > AI explanations, summaries, and concept breakdowns > Practice exercises, quizzes, and knowledge improvement tools > Voice and text-based learning interactions > Learning history and progress tracking > Adaptive AI responses based on user behavior Key Contributions: -- Developed a cross-platform mobile learning experience -- Integrated AI/LLM technology for real-time tutoring interactions -- Implemented secure authentication and data management -- Optimized performance and user experience across devices Outcome: Created an AI learning companion that enables users of all ages to learn, improve skills, and access personalized education anytime through a mobile-first experience.
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Employee Productivity Monitoring System Built a web-based Employee Productivity Monitoring System designed to help organizations track work activity, improve accountability, and gain insights into team performance in real time. The system includes features such as activity tracking (keyboard/mouse usage metrics), application and website usage monitoring, task-wise time logging, and optional periodic screenshots for audit transparency. It provides role-based access for admins, managers, and employees with secure authentication and data segregation. A real-time dashboard aggregates productivity metrics into visual reports, showing active vs idle time, productivity scores, and weekly performance trends. Managers can assign tasks, set productivity benchmarks, and export reports for HR or compliance use. Focused on scalable backend architecture with efficient event logging, low-overhead tracking agents, and privacy-aware configuration controls to ensure compliance and minimal system impact.
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AI Resume Screening | Candidate Ranking System | AI HR Recruiter | ATS CV/Resume Optimization 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄 Recruiters often spend hours manually reviewing resumes, comparing candidate qualifications, and identifying the best fit for open positions. To address this challenge, I developed an AI-powered Resume Screening and Candidate Ranking Platform that automates candidate evaluation, improves hiring efficiency, and reduces recruitment time. 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 Traditional recruitment processes involve reviewing hundreds of resumes for a single position. This manual approach is time-consuming, inconsistent, and often results in qualified candidates being overlooked. Recruiters needed a solution capable of quickly analyzing resumes, matching them against job requirements, and generating reliable candidate rankings. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 I built an intelligent recruitment platform that leverages Artificial Intelligence and Natural Language Processing (NLP) to automate resume analysis and candidate assessment. 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲: - ATS-compatible resume parsing for PDF and DOCX files - Automated extraction of skills, experience, education, certifications, and contact information - AI candidate matching based on job descriptions - Intelligent candidate scoring and ranking system - Semantic skill matching using NLP techniques - Automated shortlist generation for recruiters - Recruiter dashboard for managing applications and rankings - Bulk resume processing for high-volume recruitment - Interview recommendation system based on candidate fit - Fair and consistent evaluation framework to reduce manual bias 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 The platform was designed with scalability and accuracy in mind. The workflow begins by parsing uploaded resumes and extracting structured candidate data. AI models then compare candidate profiles against job requirements, analyzing technical skills, years of experience, educational background, and industry relevance. A ranking engine generates compatibility scores and presents candidates in order of suitability. Recruiters can review detailed scoring insights, compare applicants, and make faster hiring decisions. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 The solution significantly improved recruitment efficiency and candidate discovery. 𝗢𝘂𝘁𝗰𝗼𝗺𝗲𝘀 > Reduced manual resume screening time by up to 80% > Accelerated candidate shortlisting process > Improved recruiter productivity and hiring speed > Increased consistency in candidate evaluation > Enabled processing of hundreds of resumes within minutes > Enhanced talent identification through AI-driven matching 𝗖𝗼𝗻𝗰𝗹𝘂𝘀𝗶𝗼𝗻 This AI recruitment platform transforms traditional hiring workflows by automating resume screening, ranking candidates intelligently, and helping recruiters identify top talent faster, more accurately, and at scale.
1
95
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(1)
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Saket Panwar
pro
Rohtak, India
AI Agents & LLM Systems · Ex-Amazon & Microsoft · 10+ Years
5.0
Rating
1
Followers
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AI Agents & LLM Systems · Ex-Amazon & Microsoft · 10+ Years
0
SmartCart RAG : AI Support Assistant on Internal Knowledge Base Built a production RAG chat app over SmartCartCommerce's internal knowledge base - 86 documents, 856 indexed chunks covering policies, support playbooks, seller operations, and the brand admin console. Implemented three distinct AI personas (Customer, Concierge, Brand Partner) each with tailored retrieval and system prompts. Queries are embedded via OpenAI, semantically searched in Pinecone, and streamed back with source citations. Replaced manual doc-hunting for support teams with instant, grounded answers.
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21
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Amazon Subscribe & Save — Perl → Java Migration
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10
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Healthcare AI-Based Decision Support System Architected a multi-step LLM-powered clinical decision support platform that transforms patient records and medical guidelines into structured diagnostic workflows. The system combines OCR processing, patient-data ingestion, AI-powered reasoning, and human-in-the-loop validation to improve reliability and consistency of clinical recommendations. Key contributions included: • Designing the LLM decision-engine architecture • Building medical guideline-to-decision-tree workflows • Developing evaluation and review tooling for quality assurance • Integrating OCR and patient-data processing pipelines • Supporting orchestration across multiple AI and healthcare system components Technologies: Python, LLMs, OCR, Workflow Orchestration, Healthcare AI
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AgentOS : Multi-Agent AI Orchestration Platform Built AgentOS, a production-ready multi-agent orchestration platform that enables teams to deploy, monitor, and coordinate AI agents for complex workflows. Designed a modular architecture where specialized agents collaborate - handling tasks like research, code generation, and decision-making in parallel. Implemented real-time agent communication, persistent memory, tool-use pipelines, and a dashboard for observability. The system reduces manual intervention in repetitive workflows by over 80% and scales seamlessly across different LLM providers.
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20
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(1)
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Harshit Shakya
Delhi, India
Full-Stack Developer | Building Fast AI Integrated websites.
New to Contra
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Full-Stack Developer | Building Fast AI Integrated websites.
1
NotAI - End-to-End Leaning Platform
1
1
0
FITHAUS: Reimagining Fashion Commerce
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1
4
What if recipe apps felt less like tools and more like companions? Introducing Sous (https://stitch.withgoogle.com/preview/11633371536292961535?node-id=7c95e74d44bc48ccae2bc0a2e3450eb1) — a motion-first cooking experience with hands-free mode, contextual meal planning, living interfaces, and immersive food interactions. Most recipe apps assume users are fully focused on their screens while cooking. In reality, cooking is messy, fast, and hands-busy. So I designed Sous. Features include: • Hands-free cooking mode for uninterrupted workflows • Adaptive meal planning based on available ingredients • Motion-rich interactions and immersive recipe exploration • Smart collections and contextual recipe discovery • A visual system inspired by premium culinary experiences How Google Stitch helped: Google Stitch became part of the workflow instead of just another design tool. I used it to rapidly move from rough concepts to interactive interfaces, iterate directly on screens using AI edits, experiment with layouts faster, and refine motion-heavy experiences without rebuilding everything repeatedly. Stitch made it easier to: → Explore multiple interface directions quickly → Iterate components in-place with AI feedback loops → Build interaction-heavy screens faster → Focus more on UX decisions instead of repetitive UI work → Prototype a more “alive” interface through motion and interaction experimentation The goal wasn’t just to design another recipe app — it was to create an interface that feels present while you cook. ✨ Try the prototype → Prototype (https://stitch.withgoogle.com/preview/11633371536292961535?node-id=7c95e74d44bc48ccae2bc0a2e3450eb1) Would love feedback on the interactions, motion system, and cooking workflow. #UIDesign #UXDesign #ProductDesign #AIWorkflow
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4
305
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CASCADE OS: Neuro-Adaptive Cognitive Routing System
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1
AI Engineer
(1)
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Shahroz Ahmad
Delhi, India
Web Designer & Framer Expert
1x
Hired
3
Followers
expert
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Web Designer & Framer Expert
6
The Neural Internet https://internet.figma.site (https://internet.figma.site/) A Living Network for Human Understanding The internet was built to organise pages. The Neural Internet reimagines it as a living intelligence that organises understanding. Instead of returning links or conversations, every topic becomes an interactive universe where users can explore what it is, why it exists, how it works, what it connects to, what it influenced, and what it may become in the future. The knowledge graph never stays static. It continuously evolves, generates new interdisciplinary fields, visualises causality, simulates complex systems, and reveals hidden relationships between ideas. Users don't just consume information, they experience it. One of the core ideas is that the network continues thinking even when nobody is using it. AI explores millions of potential relationships, discards weak hypotheses, and grows new branches of knowledge, making the universe feel like a living organism rather than a database. The Neural Internet is not a search engine, encyclopedia or chatbot. It is an experiment in what the next generation of the internet could look like, an internet that helps humanity understand rather than simply search. We built the internet to share information. The Neural Internet explores what it would look like to share understanding. Check it out! https://internet.figma.site/ Twitter: https://x.com/beatsbyshaz LinkedIn: https://www.linkedin.com/in/shahroz-a/
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222
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Headout for Creators
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3
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ProductFolio: Designer's portfolio
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8
0
Transactional page
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2
AI Engineer
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