Hire the Best Machine Learning Engineers in Ahmedabad, IN

I am a Machine Learning Engineer specializing in building end to end AI systems that go beyond models and deliver real business impact. I have worked on real world data science problems including scalable pipelines, deployed ML APIs, and intelligent AI systems using LLMs, RAG, and multi agent architectures. What I bring to the table Machine Learning and Predictive Systems: Classification, regression, and risk modeling Feature engineering, model optimization, and performance improvement End to end pipelines from data processing to deployment using FastAPI and Streamlit Generative AI and NLP: RAG pipelines using vector databases such as ChromaDB Multi agent systems using LangChain and LangGraph Sentiment analysis, embeddings, and semantic search Real World Deployment Experience: Built and deployed REST APIs for ML inference Designed automated data pipelines processing over 200 entities Developed intelligent alerting systems using ML and business metrics Data Analysis and Visualization: Exploratory data analysis and business insights Dashboards using Power BI, Streamlit, and Matplotlib Deep Learning and Advanced Models: Transformer based NLP models CNN and LSTM for sequence and audio tasks Recommendation systems and ranking models Highlight Projects: Autonomous SQL and RAG Multi Agent System: Built an AI system that converts natural language into SQL queries and retrieves relevant knowledge using LangGraph. Hybrid Credit Risk Classifier: Combined structured data and NLP embeddings to predict loan defaults with strong performance AI Powered Business Intelligence Pipeline: Automated monitoring and anomaly detection with real time alerts across large scale data Why work with me I focus on building practical AI systems that create real value I care about business outcomes, not just model accuracy I have experience with production ready ML systems including APIs and automation If you are looking to build intelligent AI systems, automate decision making, or turn data into actionable insights, feel free to reach out.

Hi, I am an aspiring Machine Learning Engineer and love to undertake projects across Machine Learning, Computer Vision, or Natural Language Processing. I can offer help with building AI pipelines and optimizing them. Also, I am a passionate technical content creator on latest trends and concepts in AI. Knows Python and PyTorch for coding LLMs finetuning and prompting, Graph Neural Networks Article writing, SEO optimisation Offers timeliness and quality in work

I turn camera feeds into production AI systems, real-time object detection, video analytics, edge deployment. 45+ shipped with my Brainy Neurals team. Most AI camera projects die in the gap between training and shipping. Training a model is the easy 10%. The hard part is compiling for edge hardware, hitting latency budgets, and keeping it running under field conditions, dim lighting, dropped frames, flaky networks. That's the layer I architect personally, with my team handling delivery. Across 45+ production deployments in construction, manufacturing, sports, surveillance, and healthcare, the systems run on NVIDIA Jetson, Qualcomm, and custom low-power silicon. Edge-optimized with TensorRT, orchestrated with DeepStream, monitored in production. Backed by NVIDIA Inception Partner, AWS Activate, and Microsoft for Startups, the three partnerships that tend to matter when enterprise procurement is reviewing the architecture. When a project needs more than cameras, document intelligence, RAG, LLM applications woven into a vision workflow, the Brainy Neurals team ships those too. Typically as extensions of the primary system, not as standalone contracts. How I engage: discovery call to pressure-test feasibility, scoped architecture document before any code is written, then delivery with my team executing and me owning every architecture decision. Projects move fastest when I can see the cameras, the environment, and one sample of the data in the first call. The single thing that separates me from most CV profiles you'll see on Upwork: I've shipped 45 production systems that are still running, which means I know what actually breaks in the field versus what only breaks in a notebook. That's the experience I bring to every architecture call. If you're building a camera-AI system that has to work in a real environment, and you want an architect who stays on the project through delivery, send me a message. Describe your use case, the environment it runs in, and your rough timeline. I respond within 24 hours with an honest read on whether I can help, how I'd approach it, and what a realistic delivery timeline looks like.

Generative AI Engineer | AI Agents | RAG | LangGraph | OpenAI | FastAPI I help startups and businesses build production-ready AI applications, AI agents, and workflow automation systems. My expertise includes: • AI Agents using LangGraph and LangChain • Retrieval-Augmented Generation (RAG) • OpenAI, Claude, Gemini, and open-source LLMs • FastAPI backend development • Vector databases (Qdrant, Pinecone, ChromaDB, Weaviate) • Multi-agent systems • AI chatbots and copilots • Workflow automation • Knowledge base search and document intelligence • Voice AI integrations Recent work includes: • AI customer support agents • RAG-based knowledge systems • Conversational AI applications • LLM-powered workflow automation • Custom AI assistants for internal operations • Production AI APIs and backend systems If you need an engineer who can take an AI product from idea to deployment, let's discuss your requirements. 📁 See my work: yash-amin.netlify.app

🏆 AWS Certified Generative AI Developer - Professional 🏆 AWS Certified Machine Learning – Specialty 🏆 AWS Certified Data Analytics – Specialty 🏆 Google Cloud Professional Machine Learning Engineer 🏆 Google Cloud Professional Cloud Architect I help businesses design, build, and deploy production-ready Generative AI applications powered by LLMs, AI Agents, RAG pipelines, Voice AI, and workflow automation. With 8+ years of experience in Machine Learning, NLP, Computer Vision, and Cloud AI, I specialize in transforming AI prototypes into scalable, enterprise-grade solutions running on AWS, GCP, and Kubernetes. What I Build ✅ AI Agents & Agentic Workflows * Single-Agent & Multi-Agent Systems * LangGraph Agent Development * MCP (Model Context Protocol) Integrations * Tool Calling & Function Calling Agents * Autonomous Research & Task Execution Agents * AI Workflow Automation ✅ RAG & Enterprise Search * Retrieval-Augmented Generation (RAG) * Enterprise Knowledge Assistants * Internal Documentation Chatbots * PDF, SharePoint, Confluence & Website Search * Hybrid Search (Vector + Keyword) * Agentic RAG Architectures ✅ Conversational AI & Voice AI * AI Chatbots * Customer Support Assistants * AI Voice Agents * Call Center Automation * Real-Time Speech-to-Speech Applications * Voice Ordering & Appointment Booking Systems GenAI Technologies 📍 LLMs OpenAI GPT-4o, GPT-5, Claude, Gemini, Llama, Mistral, Gemma, AWS Bedrock 📍 Agent Frameworks LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, LangSmith, LangFuse 📍 Vector Databases Pinecone, Qdrant, Weaviate, Milvus, ChromaDB, pgvector, Elasticsearch, Redis 📍 Voice AI Vapi, ElevenLabs, Deepgram, AssemblyAI, Whisper 📍 Prompt Engineering & Optimization DSPy, TextGrad, Structured Outputs, Guardrails 📍 LLM Deployment vLLM, Hugging Face TGI, TensorRT-LLM, Ray Serve, TorchServe Machine Learning & MLOps 📍 TensorFlow 📍 PyTorch 📍 Hugging Face 📍 Scikit-Learn 📍 Spark ML 📍 Forecasting & Predictive Analytics 📍 Computer Vision Solutions Cloud & Infrastructure AWS: Bedrock, SageMaker, Lambda, ECS, EKS, Textract, Comprehend, Rekognition, Transcribe, Polly, Forecast, Personalize Google Cloud: Vertex AI, Agent Builder, Gemini, Document AI, Dialogflow CX, GKE, Cloud Run, Cloud Functions Azure: Azure OpenAI, Azure ML Infrastructure: Kubernetes, Docker, CI/CD, GitHub Actions, Terraform Industries Served ✔ Retail & eCommerce ✔ Manufacturing ✔ Supply Chain & Logistics ✔ Automotive ✔ Healthcare ✔ Financial Services ✔ Customer Support Operations Whether you need an AI Agent, RAG chatbot, Voice AI solution, LLM-powered application, or a complete GenAI platform deployed on AWS/GCP, I can help take your idea from concept to production.

I am an AI-focused Python developer with 13+ years of experience building Django, Flask, and Node.js systems, specializing in AI/LLM integration and workflow automation that takes manual work off your team's plate. I help startups and small teams ship AI features that hold up in production (not just in a demo), automate the repetitive parts of their workflow, and build backend systems that scale without needing a full in-house engineering team. 𝗪𝗵𝗲𝗿𝗲 𝗜 𝗵𝗲𝗹𝗽: - AI & LLM integration: chatbots, content automation, and intelligent data processing, built on Django, Flask, or Node.js - Workflow automation: Python scripts, n8n flows, and API integrations that remove repetitive manual work from your team's day. - Backend & API development: REST/GraphQL APIs in Django, FastAPI, Flask, and Node.js/Nest.js, built to scale and documented so someone other than me can maintain them. Across those 13+ years, I've also maintained a live Chrome extension for LinkedIn Sales Navigator, so wiring new logic into an existing product, not just greenfield work, is a territory I'm comfortable in. 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸: I scope the problem clearly before writing code, and send regular updates instead of going quiet for a week, and test before handoff instead of after you find the bug. 🫡 ROLES I TAKE ON 🫡 • AI / LLM Engineer in Python - building production-ready AI systems, RAG pipelines, and LLM-powered apps • AI Agent Python Developer - designing multi-agent systems and workflow automation with Python • Python Backend Developer (FastAPI / Django) - building scalable APIs and SaaS backends • Machine Learning Engineer in Python - developing predictive models and NLP systems • Data Engineer (Python) - designing automated ETL pipelines and large-scale data systems • Cloud / DevOps Engineer (AWS, GCP) - delivering scalable infrastructure and CI/CD pipelines automation • RAG & Document AI Developer in Python - developing document processing systems, embeddings, and knowledge retrieval • Python System Architect Developer (Microservices / AI Systems developer) - designing high-load, distributed architectures 👉 Looking to build an AI or LLM-powered system? Click “INVITE TO JOB” to reach out, I’m happy to discuss your project and suggest the best approach! Choose the best AI engineer and Python developer to build data platforms, APIs, automation systems, and scalable web applications together!