Freelance ML Engineers in India

Freelance ML Engineers in IndiaFreelance ML Engineers in India

Projects People

AI Automation & Chatbot Developer | Flutter Developer

47: Followers

AI Automation & Chatbot Developer | Flutter Developer

Cover image for Created a short AI-based video

Created a short AI-based video showcasing how artificial intelligence is transforming the way we work and create. Worked on concept development, video editing, and storytelling. Also highlighted my experience in AI training and sentiment analysis. #AI #ArtificialIntelligence #VideoEditing #DataAnalysis #ContentCreation

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Cover image for Built an AI-powered resume analyzer

Built an AI-powered resume analyzer that evaluates resumes and provides instant feedback to improve job success rates. The system analyzes resume content, structure, and keywords using AI to generate a score and actionable suggestions. It helps users optimize their resumes based on industry standards and ATS (Applicant Tracking System) requirements. This tool is designed for job seekers and professionals to enhance their resumes and increase their chances of getting shortlisted. "Open to building similar AI-powered tools for businesses". 🚀

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Cover image for Built an AI-powered customer support

Built an AI-powered customer support chatbot that can handle user queries instantly and automate business communication. The chatbot understands user intent and provides accurate, context-aware responses using advanced AI models. It is designed to reduce manual effort, improve response time, and enhance customer experience. This solution can be integrated into websites or apps to provide 24/7 automated support, helping businesses save time and increase efficiency. "Open to building custom AI solutions for businesses"🚀 .

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Cover image for Built a real-time object detection

Built a real-time object detection system using computer vision that can identify and track multiple objects in images and video streams. The system uses deep learning models to detect objects and draw bounding boxes with high accuracy. It processes frames in real-time and provides instant visual insights. 💡 This solution can be used in security systems, surveillance, traffic monitoring, and smart automation. 🔥 Key Highlights: • Real-time object detection • Bounding box visualization • Fast and accurate predictions ⚙️ Built using Python, OpenCV, and TensorFlow. DM me

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AI Solutions, Software Architect, AI Agents, Fractional CTO

15: Followers

AI Solutions, Software Architect, AI Agents, Fractional CTO

Cover image for A multi-tenant architecture is a

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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Cover image for Title:
AI App Development |

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

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Cover image for AI Development is the process

AI Development is the process of building systems that can learn, reason, and make decisions from data—basically creating software that behaves in a more “intelligent” way instead of just following fixed rules. Its core, AI development involves combining data, algorithms, and computing power to solve real-world problems—like recommendations, automation, predictions, or natural language understanding.

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Cover image for AI Chatbot Application Development

AI Chatbot Application Development

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900

Bengaluru, India

Production ML that turns messy data into decisions!!

New to Contra

Production ML that turns messy data into decisions!!

Cover image for NeuroVision AI is a clinical-grade

NeuroVision AI is a clinical-grade platform that detects neurological gait disorders from walking videos using computer vision and AI. It extracts key biomechanical parameters - cadence, symmetry, tremor index, and freezing episodes, via MediaPipe pose estimation and Isolation Forest anomaly detection, trained on established datasets including DaphNet and PhysioNet GaitPDB. The system delivers AI-powered differential diagnoses, real-time clinical Q&A, and spoken voice reports, all within 60 seconds of video input.

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Cover image for VitalFlow HeartGuard is a cardiovascular

VitalFlow HeartGuard is a cardiovascular risk analytics platform built on the Framingham Heart Study dataset (4,238 patients). It trains three Apache Spark ML models — Logistic Regression, Random Forest, and Gradient Boosted Trees — to predict 10-year coronary heart disease risk. The platform features a FastAPI backend with JWT auth, live what-if analysis, counterfactual interventions, model drift detection, and PDF report generation. A React dashboard visualizes EDA, ROC curves, feature importance, and patient risk trends.

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Cover image for Day one on Contra. New

Day one on Contra. New to the platform, not to the work. I build production ML systems that turn messy data into decisions, and I build the product around them. Where I am strongest: Production ML: risk scoring, prediction, ranking, computer vision Data engineering: pipelines that turn raw, scattered data into reliable features LLM apps: RAG, structured prompting, and evaluation that keeps them honest And I built the full product around it, too: FastAPI and backend services, React and Next.js frontends, dashboards, mobile, and workflow automation when a project needs it. I like owning the whole path from data to a working thing people use. Most builders stop at the demo. I take it to be deployed, monitored, and actually earning its keep. I also provide automation services for your Saas that you don't wanna waste your hours on. Starting today, I am open to work. Independent contracts, remote, a full build, or one piece of one. Startups and small teams turning an idea into a real product are exactly who I want to work with. My projects are on my profile if you want to see how I think before we talk. A piece of my playground work done within hours is posted too. #MachineLearning #AIEngineer #LLM #FastAPI #React #Nextjs #Contra

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Cover image for TechnovaHub chatbot is a branded

TechnovaHub chatbot is a branded AI-powered customer assistant built with React and Node.js, featuring real-time streaming responses via Google Gemini API. It supports bilingual interaction (English and Tamil), voice input, lead capture, and smart intent detection for courses and pricing. The chatbot includes a secure backend proxy, XSS sanitization, and a modular architecture with 57 automated tests ensuring production-grade reliability.

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Navaneetha Krishnan Kamalakannan

Greater Chennai, India

AI & technical writer making complex tech easy to grasp.

New to Contra

AI & technical writer making complex tech easy to grasp.

Cover image for Real-Time Neuromorphic Spectrum Intelligence Simulator:

Real-Time Neuromorphic Spectrum Intelligence Simulator: Developed a real-time software simulator for neuromorphic spectrum intelligence, exploring AI-driven approaches to wireless spectrum sensing and decision-making. The project combines signal-processing concepts with machine-learning and neuromorphic computing techniques to model intelligent spectrum behavior. The work was independently authored and presented at the NeurIPS ML4PS Workshop in 2025.

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Cover image for HYPERNET Mission Control — Space–Air–Ground

HYPERNET Mission Control — Space–Air–Ground Network Operations: Built a 3D real-time mission-control interface integrating satellite, UAV, and ground-network layers for space–air–ground communications. The platform combines live telemetry visualization with reinforcement learning, federated learning, and Random Linear Network Coding (RLNC) for intelligent network monitoring and optimization. Developed as an interactive software prototype using Replit, with a focus on real-time visualization, network intelligence, and scalable architecture.

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Cover image for APC-RLNC: Adaptive Peer Clustering &

APC-RLNC: Adaptive Peer Clustering & Network Coding - Developed an adaptive Random Linear Network Coding system with EWMA-based peer scoring, distributed clustering, and redundancy optimization for vehicular networks. Built edge components across Python, C++, and Go, achieving 99.32% packet delivery ratio, 145 ms latency, and 12.7% lower energy consumption.

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Cover image for Ionic Wind Energy Harvesting for

Ionic Wind Energy Harvesting for Microscale Devices: Investigated a novel ionic-wind electrode design for improving energy-harvesting efficiency in microscale devices, with comparison against piezoelectric energy harvesting. The research was published by Springer in Lecture Notes in Networks and Systems in 2025.

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Data Scientist, Backend Engineer, Data Analyst

10: Followers

Data Scientist, Backend Engineer, Data Analyst

Cover image for Proud to share that I’ve earned the Oracle Cloud Infrastruct...

Proud to share that I’ve earned the Oracle Cloud Infrastructure (OCI) 2025 Certified Data Science Professional certification (https://tinyurl.com/dsmlaidl) — issued by Oracle. This certification validates my expertise in Machine Learning (ML) | Data Science | Artificial Intelligence (AI) | Cloud Computing, showcasing my ability to design, build, deploy, and manage end-to-end ML solutions using OCI Data Science and Oracle AI Services. 💡 Core Expertise: 🔹 Scalable ML pipelines on OCI Data Science 🔹 AI, MLOps, and Cloud best practices for model optimization 🔹 Leveraging OCI Data Flow, Data Catalog, and AI Services for automation 🔹 Skilled in Python | TensorFlow | Scikit-learn | OCI SDKs for production-grade workflows 💪 Passionate about applying ML | Data Science | AI | Cloud Innovation to drive real business transformation.

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Cover image for Fraud_Transaction_Detection-Fraud_Finder_ID12254…

Fraud_Transaction_Detection-Fraud_Finder_ID12254…

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Cover image for main_palmer_penguin_EDA_2024-project

main_palmer_penguin_EDA_2024-project

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Cover image for main_palmer_penguin_EDA_2024-project

main_palmer_penguin_EDA_2024-project

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Data Scientist, Python, ML Engineer & AI Developer

5.0: Rating

7: Followers

Data Scientist, Python, ML Engineer & AI Developer

Cover image for Iris-Flower Classification | Machine Learning

Iris-Flower Classification | Machine Learning

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Cover image for Hand Gesture Video Control | Computer Vision

Hand Gesture Video Control | Computer Vision

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Cover image for Bumble Automation with OpenCV

Bumble Automation with OpenCV

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Cover image for CIFAR-10 CNN Classifier | Deeplearning

CIFAR-10 CNN Classifier | Deeplearning

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Aryaman Pattnayak

Expert in ML Finetuning & Synthetic Dataset Creation

1x: Hired

5.0: Rating

2: Followers

Expert in ML Finetuning & Synthetic Dataset Creation

Cover image for 1st rank on OpenBookQA

1st rank on OpenBookQA

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Cover image for DarryCrucian/FinGPT

DarryCrucian/FinGPT

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Cover image for Financial Sentiment AI

Financial Sentiment AI

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Backend, ML, Automation Engineer

Backend, ML, Automation Engineer

Cover image for Advanced_Sementic_Search

Advanced_Sementic_Search

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Cover image for linkdlenPostGenerator

linkdlenPostGenerator

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Cover image for Auto-Email-Replier

Auto-Email-Replier

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