Hire the Best Artificial Intelligence Engineers in Pune, IN

Looking to ship a real AI product not another chatbot demo? I build production-grade AI agents, RAG systems, and full-stack apps that actually move business metrics. I'm a Full Stack AI Engineer with 6+ years of experience and 50+ delivered projects. Today my work sits at the edge of what's possible with Claude Code, MCP servers, OpenAI GPT-5, and modern agentic frameworks wired into reliable Next.js, Laravel, NestJS, and Python backends. 🔥 WHAT I BUILD IN 2026 🤖 AI Agents & Claude Code Workflows Custom agents using Claude (Sonnet 4.6, Opus 4.7, Haiku 4.5), tool use, and the Model Context Protocol (MCP). I build MCP servers that let Claude read your databases, call your APIs, control your tools, and execute multi-step workflows autonomously the same way Claude Code does for engineers. 🧠 GPT-5 & OpenAI Integrations Production integrations with OpenAI Assistants, Responses API, structured outputs, function calling, vision, and Realtime voice. Custom GPTs, fine-tuned models, and embeddings pipelines. 📚 RAG & Knowledge Systems End-to-end retrieval-augmented generation with pgvector, Pinecone, Qdrant, or Weaviate. Hybrid search, re-ranking, chunking strategies, and evaluation harnesses so your AI actually answers from your data instead of hallucinating. ⚙️ AI Automation & Workflow Orchestration n8n, Make, Zapier, LangGraph, and custom Python orchestrators. I replace hours of manual work with agents that handle email triage, lead enrichment, content generation, data extraction, and ops workflows. 🌐 Full Stack Web Apps Next.js 15 (App Router, Server Actions), React, TypeScript, Tailwind, shadcn/ui on the front. Laravel 11, NestJS, Node.js, FastAPI, and Django on the back. Auth, payments (Stripe), real-time (WebSockets), file pipelines whatever the product needs. 🐍 Python for AI & Backend FastAPI services, LangChain, LangGraph, LlamaIndex, Pydantic AI, data pipelines, scraping, and ML glue code. 🗄️ Databases & Infrastructure PostgreSQL (with pgvector), MySQL, Supabase, Redis, MongoDB. Deployed on AWS, Vercel, Railway, DigitalOcean, or Cloudflare Workers with CI/CD that doesn't break on Fridays. 🔌 API & Third-Party Integrations Stripe, Twilio, Slack, HubSpot, Salesforce, WhatsApp Business, Telegram, Notion, Airtable, Google Workspace and custom integrations for whatever niche tool your business runs on. 🎯 RECENT PROJECT TYPES • AI customer-support agents that resolve 60%+ of tickets without escalation • Document-Q&A platforms over 10k+ PDFs with citations • Sales agents that research leads, write outreach, and book meetings • Internal Claude/GPT copilots wired to company data via MCP • AI content engines that draft, edit, SEO-optimize, and publish • Voice agents using OpenAI Realtime and Twilio ✅ WHY CLIENTS RE-HIRE ME • I write code that ships — clean, tested, and handed off with docs • Daily updates and clear Loom walkthroughs, not radio silence • Milestone-based delivery, fixed-price options available • Honest about scope: I'll tell you when AI is the wrong solution • Available across US, EU, and APAC business hours 🛠️ MY 2026 STACK AT A GLANCE AI: Claude (Sonnet/Opus/Haiku), Claude Code, MCP, OpenAI GPT-5, Assistants API, LangChain, LangGraph, LlamaIndex, Pydantic AI Frontend: Next.js 15, React, TypeScript, Tailwind, shadcn/ui Backend: Laravel, NestJS, Node.js, Python (FastAPI, Django) Data: PostgreSQL, pgvector, Pinecone, Qdrant, Supabase, Redis Automation: n8n, Make, Zapier, custom MCP servers Infra: AWS, Vercel, Cloudflare, DigitalOcean, Docker If you have a vague idea and a deadline message me. I'll come back with a scoped plan, a fixed quote, and a realistic timeline. Let's build something your competitors can't copy in a weekend. Invite me to your job and let's start.

I’m a Computer Engineer by degree and a writer by passion, and I've tackled everything from whitepapers and blogs to academic theses and business proposals. If it needs to be written (especially on cybersecurity), I’m your go-to! I’m all about staying organized, diving deep into research, and hitting deadlines like they’re going out of style. Expect your projects done with time to spare—giving you plenty of room for feedback. I take real pride in delivering polished, top-quality work. Let’s get things done!

I work with businesses that need to build, evolve, or stabilize software systems. This could be a new product, a set of features, or an existing platform that is not performing the way it should. I lead Metisent, an AI-native software engineering agency focused on workflow automation, AI integration, backend systems, and custom platform development. Most client engagements run through Metisent, where we bring a small, focused team with senior involvement at every stage. Over the last 20+ years, I have worked hands-on and in leadership roles across financial services, healthcare, e-commerce, and martech. I co-founded Coditas, where I helped scale the engineering organization from 10 to 900+ people. Typical work we get involved in: - Backend and API development - AI-based applications and workflow automation - MVP builds and early-stage products - Improving or stabilizing existing systems - Debugging and resolving complex issues What clients generally find useful is not just execution, but the ability to: - Quickly understand what's actually going wrong or missing - Make practical architectural decisions early - Keep solutions simple and aligned with actual business needs If you have something that needs to be built, improved, or fixed, happy to take a look. All project engagements are handled through Metisent.

AI/ML Engineering & Generative AI Specialist | Production Deployment (AWS/Docker) As a proven AI/ML Engineer, I specialize in building, deploying, and scaling cutting-edge machine learning solutions that directly impact business revenue and user engagement. I turn complex prototypes into robust, production-ready systems. Core Expertise: Generative AI: LLMs (GPT, Gemini), RAG, Fine-Tuning, Virtual Try-On (VITON), and Voice Cloning for personalized experiences. Computer Vision & Search: Implementing high-impact features like visual search (Fashion-CLIP/OpenSearch) and deep image analysis. Data Optimization: Developing AI-driven dynamic pricing models leveraging real-time data to optimize revenue and inventory. MLOps & Cloud: Full-stack deployment using Python, Docker, AWS (S3, EC2), OpenSearch, and containerized architectures. Results Focused: Experience includes engineering visual search features, deploying a multilingual speech pipeline, and automating back-office operations (reducing manual time by 20+ hours/week). I deliver reliable, optimized AI solutions designed for measurable business impact. Let's discuss your project.

I have 2 years of experience in Machine Learning, Fullstack AI development I have built machine learning, deep learning, computer vision models. I have worked on multiple projects which involved concepts of RAG, AI agent, fine-tuning, VGG16, LLM, NLP, Llama2, sequence autoencoder, LSTMs, sentiment analysis, recommendation system, Langchain, PowerBI. In Fullstack AI development, I am skilled in this tech stack: Frontend: React (Javascript, Typescript) Backend: Nodejs, FastAPI Server: AWS Database: MySQL, PostgreSQL AI: Integration of all LLM models (including OpenAI), Finetuning, Prompt Engineering My client experience includes: Lead Generation chatbot: Created 67 variations of chatbots to be deployed over more than 100 websites, serving for lead generation. AI powered travel app: Enhanced AI travel assistant and travel planner to serve a US travel community of 475k+ members. AI assistant: Helped create the backend of an all-in-one AI assistant for research, analysis, stocks study, visualization, Salesforce, Egnyte based prompts DailyUpdateAI: Fetches and summarizes daily updates of over 250+ developers using RAG, Advanced prompt engineering ∙ Led teams of 8 (total members) ∙ Took Hiring Interviews for AI Engineers ∙ Handled client communication, followups via text, email, meetings ∙ Broke down business requirements into actionable tasks and assignment of them ∙ Research of complex features implementation, Data/API sources ∙ Built complex features like Web3 Vault Escrow, Oauth flows, Cron Jobs, Canvas based Chatbot customization ∙ Multipurpose LLM ∗ Unified multi-step workflows across 5 tools (Salesforce, Egnyte, Gmail, Google Calendar, stock charts) into a single-prompt LLM interface ∗ Built dual-pane Egnyte document interface (NotebookLM-style) for document-aware chat and Q&A ∙ Medical Professionals Networking Platform ∗ Built scalable social platform for 3 million NPI-verified US medical professionals with networking, CME courses, and peer discussions ∗ Developed Collectives feature with multi-community membership, professional group chats, knowledge sharing, and RAG-powered LLM responses ∗ Implemented Settings with profile privacy controls and unified custom Calendar UI integrating Google and Outlook events ∗ Delivered secure chat with PDF and image sharing and end-to-end encryption (E2EE) ∙ Avatar Hologram Platform ∗ Created system design diagrams, cost breakdown tables, and sprint timelines for multiple approaches ∙ RV Community App ∗ Built AI Trip Planner with route generation, campground mapping through polygon, real-time weather integration, Perplexity API, and Google Places imagery for RV community of 400,000+ users ∙ Brand-Creator Collaboration Platform ∗ Implemented secure Blockchain Vault Escrow system on BNB Chain for brand deposit security and creator payouts, serving $250B US creator economy ∙ Technical Hiring ∗ Conducted technical hiring interviews for AI Engineering candidates

AI/ML Engineer | AI Expert | 100% Client Satisfaction Focus | 3.5 years of experience I'm a Machine Learning Engineer with 3+ years of hands-on experience delivering end-to-end AI solutions — from building predictive models to deploying real-time inference APIs. My work spans NLP, LLMs, deep learning, time-series forecasting, and scalable API development. 🔍 I specialize in transforming complex business needs into intelligent, production-ready ML applications using the latest in AI/ML, Python, and cloud technologies. 💡 What I Do Best - LLM Integrations: Resume parsing, semantic similarity matching, and prompt engineering using OpenAI & Perplexity APIs. - Time Series & Forecasting: Sales prediction, churn forecasting, and behavioral modeling using LSTM & statistical models. - End-to-End ML Pipelines: Data cleaning, feature engineering, model training, and hyperparameter tuning (XGBoost, Random Forest, Scikit-learn). - NLP Applications: Resume-job matching, text classification, and keyword extraction for hiring intelligence tools. - Real-time Deployment: FastAPI/Flask-based API deployment with Docker, caching, and AWS Lambda integrations. 🧰 Tech Stack - ML & DL: Scikit-learn, XGBoost, TensorFlow, Keras, PyTorch - NLP & LLMs: OpenAI, Perplexity, Transformers, Pinecone - Languages: Python, SQL - APIs & Deployment: FastAPI, Flask, Docker, AWS (Lambda, S3) - Data Tools: Pandas, NumPy, Matplotlib, MongoDB, MySQL - Dashboards & Reporting: Power BI ✅ Projects I've Delivered 🔹 Resume Parser & Matcher using OpenAI embeddings 🔹 Cooking time estimator using classification models 🔹 Sales forecast engine using LSTM + stream learning 🔹 Segmentation models for customer behavior and churn 🔹 Real-time ML API deployment with FastAPI + Docker I’m passionate about building smart systems that drive decisions, automate tasks, and create measurable impact. Whether you're working on an MVP, upgrading your data workflows, or need an LLM-based solution — I'm ready to help. 📩 Let’s connect and bring your AI idea to life!