𝐈 𝐛𝐮𝐢𝐥𝐝 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐰𝐞𝐛 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐭𝐡𝐚𝐭 𝐰𝐨𝐫𝐤 𝐢𝐧 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧, 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐝𝐞𝐦𝐨𝐬. Over the 𝗽𝗮𝘀𝘁 𝟰 𝘆𝗲𝗮𝗿𝘀, I've shipped platforms handling 𝟭𝟬𝟬,𝟬𝟬𝟬+ 𝘂𝘀𝗲𝗿𝘀, 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝗱 𝟰 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗟𝗟𝗠 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀 (ChatGPT, Claude, Gemini, Grok) into one analytics dashboard, and built AI features that moved real numbers. A demand forecasting model I wrote for a Norway-based EV rental company optimized their fleet pricing across 𝟭𝟬𝟬𝗞 𝗿𝗲𝗴𝗶𝘀𝘁𝗲𝗿𝗲𝗱 𝘂𝘀𝗲𝗿𝘀. An NLP content moderation system I built for a social network caught toxic messages before they reached chat rooms. A recommendation engine I developed increased user engagement by 25%. I work as part of ALGO, an Expert-Vetted (Top 1%) agency with ISO 27001 and SOC 2 Type 2 compliance. Before that: enterprise backend at Wipro, remote full-stack work for a Norwegian micromobility startup (Surf Beyond AS), and now I lead a team of 6 engineers at fxis.ai building AI products. 𝗜 𝗺𝗼𝘀𝘁𝗹𝘆 𝘄𝗼𝗿𝗸 in React, Next.js, Node.js, and TypeScript on the web side. Python and FastAPI for backends and AI work. TensorFlow and OpenAI API when the project calls for ML. Stripe, Razorpay, and Cashfree for payments. AWS, Docker, PostgreSQL, MongoDB for the rest. • 𝐒𝐨𝐦𝐞 𝐫𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬: - GEO Tracker that pulls from Claude, ChatGPT, Gemini, and Grok to monitor how brands show up across AI search engines - AI mockup generator where OpenAI generates model photos, Three.js handles 3D warping effects, and Stripe runs subscriptions - Backend for Surf Beyond (Norway): 100K+ users, AI demand forecasting, cut data overhead by 60% - GPT-powered ski lift monitoring tool with web scrapers feeding into Telegram bot alerts (5-star Upwork delivery) - Fintech loan platform with full EMI lifecycle, dual payment gateway (Razorpay + Cashfree), and an admin CRM • Certifications: DeepLearning.AI TensorFlow Developer (Andrew Ng), IBM Machine Learning, Statistics with Python (University of Michigan) Send me your project details. I'll reply within 24 hours with a technical plan based on what I've actually built, not a copy-paste template.

Hi, I am a full stack Artificial Intelligence (AI) engineer with 6+ years of experience of developing AI solutions for clients worldwide across various industry and research domains since pre LLM era(like startups and Fortune 50 companies ..). My expertise spans the development of robust cloud native end to end machine learning AI/ML solutions, including AI Agents and Automations, AI Chatbots, Conversational AI Agents and AI-driven Content Generation,NLP, Timseries forecasting/analysis, XAI . Availability: Open to full-time & long-term projects Expertise: ✅ AI Agents ✅Timeseries prediction, predictive modeling ✅ AI Chatbots ✅ AI Search ✅ AI Generated Content (Video/Image/ Audio) ✅ AI SaaS ✅Generative AI Modelling(GenAI, prompt engineered LLM RAG apps, AI agents, chatbots), ✅Natural Language Processing (NLP), ✅Speech Processing (ASR, TTS, STT) ✅Computer Vision, ✅OCR, ✅Classification, ✅Regression and XAI more..... Client testimonials: ⭐ "100000% recommended." ⭐ "Good freelancer that has serious background of ML and NLP. Recommended" ⭐ "Pooja is perfect! She communicates very well, responds to my questions in a timely manner, submit results within the deadline, and most importantly, she knows her ways on NLP. She's nice and kind and very easy to work with. You will not regret hiring her." ⭐"Working with Pooja was great! We hired her to test a data science tool that we're building and not only did she test the tool according to the instructions that we provided, but she also thought of other scenarios to test the tool in. I'd love to work with her again. 📚Proficient in a multitude of Python libraries such as Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, Keras, SpaCy, NLTK, Gensim, OpenAI(models like GPT( ChatGPT), DALL-E, Whisper), Hugging Face, Langchain, LLMs(GPT3.5/4, Claude, Perplexity, LLaMa, and more...) I possess a comprehensive skill set tailored to tackle complex AI challenges like prompt engineering, fine tuning, model quantization/distillation/pruning. Can deploy to cloud of your choice, AWS, GCP, Azure, Hetzner, Runpod to production /test I am experienced with customizing ML/DL models to obtain higher accuracy compared to existing models. "I've tuned several models and optimized their accuracy from 75% to about 98%." My project repertoire includes a wide array of AI Machine Learning and Deep Learning endeavors like AI agents workflows, AI RAG apps, predictive modelling end to end workflow and more... Some of the production AI systems I’ve delivered that drove real business impact: ✅ Saved $500K+ in potential expenses for a client by designing and deploying a custom AI solution tailored to their operations. ✅ Unblocked a Fortune 50 team stuck for 6+ months on a HIPAA-compliant AI project for their legacy system, delivering multiple solutions that prevented millions in potential losses. ✅ Developed Explainable AI (XAI) models, helping stakeholders gain actionable insights and build trust in AI decisions. ✅ Delivered RAG-based AI systems and AI Agents, including multi-agent orchestration capable of interactive, autonomous workflows. ✅Developed and productionized full stack AI systems with XAI for an EU Commission Consortium project. ✅ Developed HIPAA and GDPR compliant AI systems Why me? ✅ I strive to deliver top-tier AI solutions to ensure 100% client satisfaction. ✅ As an quick learner and proactive problem solver with an engineering background, I continually seek to expand my knowledge horizons and innovate in the dynamic field of AI and help my clients with the same. ✅ I believe in trustful collaboration and prompt delivery for my clients I am committed to solving your problem by providing an effective solution. I strongly value work ethics, dependability, honesty, and loyalty. My focus is always on delivering desirable results. I am flexible in my approach, and I quickly learn new skills necessary to complete the project successfully. Tools skilled in: - OpenAI GPT 3,3.5, 4, 4o, o1, OpenAI Realtime API, Claude and more... - HuggingFcae Transformers - Langchain - Mlflow - DialogFlow - Rasa - ManyChat - Prompt Engineering - Retrieval-Augmented Generation (RAG) - Langchain, Langsmith, Langgraph # CrewAI # Speech Recognition (ASR) # Natural Language Understanding (NLU) # Text-to-Speech (TTS) # Voicebot Development # AI Model Fine-Tuning # Multimodal AI # AI Workflow Automation # Microsoft semantic Kernel # AutoGPT # Smolagents # Pinecone # Milvus # Qdrant # Chroma # Weaviate #Chatbots #GPT4 #Anthropic #Claude #LLMs #Rasa #ManyChat # LangChain #OpenAI # RAG #VoiceBots #GenerativeAI #Vapi #Prompt Engineering #Flowise #Langsmith #CrewAI #PineCone # Deepseek #ElevenLabs #Sora #Veo #Kling #Higgsfield #Gemini #nano banana #Grok #Docker #CI/CD #Nodejs #Nestjs #fastapi #django #Quarkus #backend #Websockets #Rest API #AWS #GCP

I'm a lead Machine Learning Engineer with 8+ years of experience delivering AI/ML solutions from concept to large-scale, secure and scalable deployment. Experienced in full project lifecycle management and expert in Terraform, Docker, Jenkins and Kubernetes with a strong track record in building automated CI/CD pipelines, containerized microservices and cloud-native ML systems. Kaggle Grandmaster, published researcher and trusted expert in GenAI and LLMs. Technical Skills - Programming languages: Python, SQL, Shell Scripting, Java (intermediate), JavaScript (intermediate in Node.js, Next.js) - Frameworks and Libraries: PyTorch, TensorFlow, Transformers, LangChain, NLTK, OpenCV - GenAI and LLM Tools: Prompt Engineering, RAG, GGUF, MCP, Agentic AI, Quantization and Fine-tuning - DevOps and Cloud: Git, Docker, Jenkins, Kubernetes, Terraform, AWS, Azure, GCP, Kafka, Grafana, RESTful APIs, AWS CDK I bring solid, proven expertise backed by real world outcomes. I specialize in designing scalable, production ready pipelines using LLMs, RAG, semantic search, MCP servers, Multi-Agent system and cloud-based DevOps systems. I have delivered solutions that directly impacted business growth, performance and efficiency. What I bring to the table: - Real experience building production level AI systems , not just prototypes - Focus on business value, efficiency, scalability and impact - A grounded, no-fluff approach with clean code and solid delivery - Leadership of cross functional ML teams, client success stories and long term results Why Choose Me? - Passionate and always try robust stratgies - Hands on deployment experiance of AI pipelines - Proven business impact (revenue, performance, scalability) - Communication & team collaboration - Post project support and clean, documented code - Your data, models and ideas are treated with strict confidentiality

I'm an AI Engineer & Strategist (PhD in CS) who solves the #1 problem businesses face: 'We’ve spent 6 months building AI, but I still can't tell if it actually works.' Most businesses I work with are stuck with: • Features that look good but fail in production because they lack proprietary, robust logic. • Talented engineering teams who lack the specialized AI capabilities required to build auditable, verifiable systems. • Architecture that works for 10 users but will trigger massive security or cost liabilities when signing your first enterprise client. With 15+ years of experience and having architected 20+ high-stakes AI pipelines, I bridge the gap between complex AI research and agile, production-grade software engineering. I provide the senior technical expertise you need to eliminate repetitive workflows using production-grade, safe, and auditable AI automation and ensure your technology is an asset for your business or your next funding round. Recent work: • For a RegTech SaaS: Built a hybrid RAG pipeline with durable workflow orchestration (Temporal). Result: AI responses with 100% citation provenance for regulated document analysis. • For a wellness startup: Architected a 4-agent LLM coaching system with dynamic 6-layer prompt assembly and emotional intensity mapping. • For a cross-chain DEX: Engineered the backend for trustless atomic swaps between Bitcoin/Lightning and EVM/Starknet ecosystems. • Enterprise identity: Led the research and delivery of the KILT Protocol mainnet, including a Deloitte-partnered KYC integration. My pipelines consistently deliver: ✅ 40–80% reduction in manual work ✅ 99%+ accuracy, even in regulated environments ✅ Hours reclaimed per employee, per week ✅ Measurable ROI within 30–90 days How I help your business: ✅ AI strategy & advanced RAG: I provide the elite technical oversight your team needs to eliminate repetitive manual workflows, build safe AI systems, and ensure your technology is a major asset for your next funding round. ✅ Security and compliance: Deep expertise in building verifiable pipelines, secure cloud data flows, and SOC2-ready architectures. ✅ Engineering leadership: I work directly with your developers, streamline your sprint cycles, and implement CI/CD pipelines that ensure your team ships weekly, not monthly. ✅ Technical due diligence: I ensure your codebase and IP are fully optimized for institutional scrutiny during M&A or venture capital funding rounds. Technical expertise: • AI / LLMOps: Python, Pydantic AI, LangGraph, LangChain, PyTorch, Vector Databases, Graph-RAG, Semantic Search, Prompt Engineering, Model Evaluation, Fine-Tuning, Embeddings. • Backend & cloud infrastructure: TypeScript, SQL, Docker, Kubernetes, Terraform, AWS, Azure, GCP, Distributed Systems, CI/CD. • Automation & enterprise tech: n8n, Document Intelligence (Docling), LegalTech/FinTech compliance automation, Decentralized Identity (DID). I can quickly adapt to your stack and I am always happy to learn new tools. How we can work together: ✅ Technical audit and roadmap: We start with a deep dive into your current stack. I identify friction points in accuracy or scale and provide a written assessment with specific, technical recommendations. ✅ Fractional leadership: I join your Slack/Teams, manage the development cycle, and take ownership of the hard technical decisions so you can focus on growth. ✅ Specific sprints: Need a specific RAG pipeline or smart contract protocol built? I offer fixed-scope engagements for high-priority feature launches. Want to get started? Click the "Invite to Job" button. Tell me about your current stack and what would make our first call a success for you.

𝟕+ 𝐘𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐚𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐁𝐮𝐢𝐥𝐭 𝟓𝟎+ 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐜𝐫𝐨𝐬𝐬 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐟𝐢𝐧𝐚𝐧𝐜𝐞, 𝐥𝐞𝐠𝐚𝐥, 𝐒𝐚𝐚𝐒, 𝐞𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞, 𝐡𝐨𝐬𝐩𝐢𝐭𝐚𝐥𝐢𝐭𝐲, 𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐡𝐞𝐥𝐩𝐢𝐧𝐠 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐭𝐡𝐨𝐮𝐬𝐚𝐧𝐝𝐬 𝐨𝐟 𝐡𝐨𝐮𝐫𝐬, 𝐫𝐞𝐝𝐮𝐜𝐞 𝐦𝐚𝐧𝐮𝐚𝐥 𝐰𝐨𝐫𝐤 𝐛𝐲 𝟖𝟎%+, 𝐚𝐧𝐝 𝐬𝐚𝐯𝐞 $𝟑𝟎𝟎𝐤+ 𝐚𝐧𝐧𝐮𝐚𝐥𝐥𝐲 𝐰𝐢𝐭𝐡 𝐀𝐈. I build AI systems that move beyond demos and actually run inside real businesses. If your team is wasting time on repetitive tasks, manual document processing, slow customer response, disconnected tools, or inefficient workflows, I can help you turn those processes into scalable AI-powered systems. ~𝐀𝐈 𝐌𝐨𝐝𝐞𝐥𝐬 & 𝐋𝐋𝐌𝐬:: OpenAI, GPT-4, GPT-5, Claude, Gemini, Llama, Mistral, DeepSeek, Grok, Cohere, OpenRouter, Ollama, Local LLMs. ~𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈: LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Pydantic AI, Google ADK, LlamaIndex, MCP Servers, Multi-Agent Systems, Tool Calling, Function Calling, Agentic Workflows. ~𝐑𝐀𝐆 & 𝐊𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: RAG, Agentic RAG, GraphRAG, Hybrid Search, Semantic Search, Vector Search, Pinecone, Weaviate, Qdrant, ChromaDB, Milvus, FAISS, Elasticsearch. ~𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬: Retell AI, VAPI, Bland AI, LiveKit, Twilio, ElevenLabs, OpenAI Realtime API, Whisper, Deepgram, Cartesia, PlayHT, Speechify. ~𝐀𝐈 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬 & 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭𝐬 :Voiceflow, Botpress, Flowise, Dify, ManyChat, WhatsApp AI, Website Chatbots, Customer Support Bots, Internal Knowledge Assistants. ~𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 : n8n, Make, Zapier, Pipedream, Activepieces, Airtable Automation, Google Apps Script, Webhooks, REST APIs. ~𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐈, 𝐎𝐂𝐑 & 𝐃𝐚𝐭𝐚 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧. AWS Textract, Google Document AI, Azure Document Intelligence, Tesseract OCR, PDF Parsing, Invoice Extraction, Form Extraction, Financial Document Processing, Legal Document Automation ~𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧 & 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐈. OpenCV, PyTorch, TensorFlow, Image Recognition, Object Detection, Segmentation, OCR, Reverse Image Search, Image Generation, Video AI. ~𝐁𝐚𝐜𝐤𝐞𝐧𝐝, 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 & 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬. Python, FastAPI, Django, Flask, Node.js, JavaScript, TypeScript, React, Next.js, PostgreSQL, MySQL, MongoDB, Redis, SQL. ~𝐂𝐥𝐨𝐮𝐝, 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭. AWS, Azure, GCP, Digital Ocean, Docker, Kubernetes, GitHub Actions, CI/CD, Serverless, AWS Lambda, EC2, S3, RDS. ~𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧𝐬. HubSpot, Salesforce, GoHighLevel, Zoho, Pipedrive, Airtable, Notion, Slack, Microsoft Teams, WhatsApp Business API, Stripe, QuickBooks, Xero, Shopify, WooCommerce, NetSuite, Oracle, SAP, Clio, Calendly, Google Sheets. ~𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠. Power BI, Tableau, Looker Studio, Data Warehouses, ETL Pipelines, AI Dashboards, Natural Language Data Querying. ~𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 𝐈 𝐇𝐚𝐯𝐞 𝐖𝐨𝐫𝐤𝐞𝐝 𝐖𝐢𝐭𝐡. ~𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 & 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜 𝐋𝐚𝐛𝐬. ~𝐅𝐢𝐧𝐚𝐧𝐜𝐞 & 𝐈𝐧𝐯𝐞𝐬𝐭𝐦𝐞𝐧𝐭 𝐅𝐢𝐫𝐦𝐬. ~𝐋𝐞𝐠𝐚𝐥 & 𝐈𝐦𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐰. ~𝐒𝐚𝐚𝐒 & 𝐁𝟐𝐁 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞. ~𝐞𝐂𝐨𝐦𝐦𝐞𝐫𝐜𝐞 & 𝐑𝐞𝐭𝐚𝐢𝐥. ~𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥𝐢𝐭𝐲 & 𝐑𝐞𝐬𝐭𝐚𝐮𝐫𝐚𝐧𝐭𝐬. ~𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞. ~𝐂𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧. ~𝐃𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 & 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧. ~𝐌𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠. ~𝐀𝐠𝐞𝐧𝐜𝐢𝐞𝐬 & 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐓𝐞𝐚𝐦𝐬. ~𝐄𝐝𝐮𝐜𝐚𝐭𝐢𝐨𝐧 & 𝐂𝐨𝐚𝐜𝐡𝐢𝐧𝐠. ~𝐈𝐧𝐬𝐮𝐫𝐚𝐧𝐜𝐞. ~𝐋𝐨𝐠𝐢𝐬𝐭𝐢𝐜𝐬. ~𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬. If you want an AI system that saves time, reduces cost, increases revenue, and runs reliably in production, send me a message now with your workflow, problem, or idea and I’ll tell you the fastest way to build it. KEY WORDS. AI Agent Development. AI Agents. Agentic. AI Automation, AI Automation Engineer AI Engineer,, Generative AI ,Custom AI Solutions ,AI Consultant ,AI Software Development ,AI Applications ,Enterprise AI ,OpenAI ,ChatGPT ,GPT-5 ,Claude ,Claude AI ,Gemini Google Gemini ,LangChain ,LangGraph ,LlamaIndex ,CrewAI ,MCP ,Model Context Protocol ,Multi-Agent Systems ,Autonomous Agents ,AI Copilot ,RAG ,Retrieval Augmented Generation Agentic RAG ,Knowledge Base Chatbot ,Semantic Search ,Vector Search ,Document Intelligence Voice AI ,AI Voice Agent ,Conversational AI ,Retell AI ,VAPI ,ElevenLabs ,n8n ,n8n Automation Make Automation ,Zapier Automation ,Workflow Automation ,CRM Automation ,API Integration Python ,FastAPI.

Top 0.01% nationally; 2nd in Canada, repeated top-20 finishes in programming, mathematics, and physics competitions. $1M+ earned, 100% Job Success, 7,600+ hours, average engagement 330+ hours. I build production AI inside real products, especially Rails/Python systems that need more than a demo. • Multi-LLM failover across Claude / GPT / Grok - 99.9% uptime, zero dropped requests • PGVector RAG 5-10x faster than hosted APIs, embedded in Active Record • AI contract parser shipped in 3 weeks with OCR fallback and source-document backlinks • 1M-row pipeline cut from 90 minutes to 30 seconds for an industrial dashboard where downtime costs millions 25 years shipping software: Rails 15 years, Python 8 years, Node, .NET, PostgreSQL/vector search, F#, Clojure, Scala, C/C++, scraping, and data pipelines. Former CTO: grew a company 12x from $20K/mo to $250K/mo, hired engineers, set direction, and still wrote the hard code. Send me the product, the stack, and what the AI needs to do. I respond fast and only take projects with a clear path to value.

Hey, I’m Chaitanya Bandawat, a Jaipur-based AI geek who lives for crafting smart, scalable solutions from the ground up. I’m all about building RAG chatbots, voice AI agents, and full-stack platforms with tools like Python, Java, JavaScript, Flask, FastAPI, React, and Streamlit. I’ve got hands-on experience with LangChain, Pinecone, FAISS, Gemini, Grok, Claude, GPT and HuggingFace, creating everything from real-time conversational bots with ElevenLabs TTS to data-heavy pipelines using Playwright and Scrapy. At Accenture, I led projects that cut website load times from 10 to 3 seconds and sped up delivery with agile practices. As a freelancer, I’ve built cool stuff like Verdict Vault—a RAG pipeline for querying documents—and Anita, an emotionally aware chatbot with multilingual voice output. I’ve worked across legal, finance, and support, nailing rapid prototypes and tight API integrations. I’ve got a Master’s in Data Science from Cardiff University (8/10 GPA) and a B.Tech in Computer Science from Banasthali Vidyapith. When I’m not coding, I blog about AI, breaking down tools like LangChain and Pinecone into simple, actionable guides for devs. I’m hooked on solving tough problems and turning ideas into tech that makes a difference.

I ship multi-agent systems and RAG pipelines in regulated industries & compliance-heavy environments. 🎯 Recent Impact: ➔ aiAvenue (AI Recruitment Platform, Current): • Prompt optimization across 10+ microservices • Built evaluation pipelines with golden datasets • Langfuse integration for observability and tracing • RAG/semantic matching for candidate scoring ➔ Gains App (UK Fintech, 6-month contract): • Architected 7-agent LLM backend for 25,000+ users • FCA-compliant guardrails for financial advice • Open banking integration via TrueLayer • Scaled architecture for 1M+ users ➤ Client Testimonials: ⭐⭐⭐⭐⭐ "Vinay has been a valuable AI expert/consultant to our team over the past several months, and our collaboration is very much ongoing. Throughout this time, he has consistently demonstrated a strong commitment to quality, delivering work that meets our standards reliably and on schedule." - aiAvenue(US Based) ⭐⭐⭐⭐⭐ "Vinay has been fantastic for us. Detailed, driven, clear at communicating. He's built several key features and advanced guardrails to ensure outputs match for compliance." - Gains App (UK Fintech) "Vinay is a rare full-stack + LLM hybrid who consistently delivers. He designed and implemented an agentic, multi-agent architecture for our financial advice chatbot. Leveraging LangChain, LangGraph, LangSmith, he built clean pipelines, instrumented them well, and put strong input/output guardrails in place." - Adam Murphy, AWS ML Specialty Manager "Vinay is first class to work with. Incredible attention to detail and can be left to complete complex tasks without much help. Highly recommend!" - Sammie Ellard-King, Founder @ Gains App 🛠 Technical Arsenal: - LLM Orchestration: LangGraph, LangChain, LangSmith, Guardrails AI - Models: OpenAI, Claude, Gemini Flash, Grok, OpenRouter - RAG: pgvector, ChromaDB, chunking strategies, embedding pipelines, Retrieval techniques - Infrastructure: AWS (EC2, Lambda, ECR, ASG), Docker, Celery, Redis - Fullstack: Python, FastAPI, React, PostgreSQL, NodeJS 🤝 Let's Build 10 years in software. The last few spent making LLMs work reliably where mistakes cost money or licenses. Taking on select projects: - Multi-agent systems with compliance guardrails - Document automation and RAG pipelines - Fintech AI (open banking, regulatory requirements) - Fullstack AI-powered SaaS Let's talk if you need AI that generates ROI.

Turning MVPs into Scalable, Revenue-Generating Product I build production-grade AI systems that plug directly into real businesses, cutting operational costs, eliminating manual workflows, and turning LLM reasoning into measurable revenue. Not demos. Not experiments. Infrastructure that works. 𝐖𝐢𝐭𝐡 𝟕+ 𝐲𝐞𝐚𝐫𝐬 𝐢𝐧 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮r𝐞 𝐚𝐧𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐀𝐈, I've delivered enterprise-grade Generative AI systems for enterprise companies and SaaS founders that run reliably under real-world load at scale, on budget, and with predictable results. Real Results. Real Numbers. 🔸 70–90% reduction in manual operations 🔸 2X increase in qualified appointments via AI-driven workflows 🔸 60% campaign cost reduction through intelligent automation 🔸 95%+ accuracy in enterprise database intelligence agents 🔸 99% cost reduction on market intelligence pipelines 🔸 29% conversion rate improvement via hybrid RAG retrieval These aren't estimates. These are outcomes from systems I've built and deployed. 🔧 Core Services ① AI Agents & CRM Automation I build autonomous backend AI agents that take real actions, not hardcoded bots that break under edge cases. My agents update and sync HubSpot, Salesforce, Pipedrive, and GoHighLevel, qualify inbound leads, trigger follow-ups, schedule appointments, and execute multi-step decision workflows with tool access, live API calls, and persistent memory all connected through Zapier and native integrations across your full sales and ops stack. ② LLM & RAG Engineering Production LLM systems built across OpenAI (GPT-4o, GPT-4.x), Claude (Anthropic), and Grok with intelligent model routing, fallback logic, and cost controls built in from day one. I design structured RAG pipelines using pgvector, ChromaDB, and Pinecone with hallucination reduction, guardrails, token optimization, cost tracking, and runtime-controlled AI behavior. Multi-agent architectures handling 10+ coordinated agents. Systems engineered to behave predictably under real business constraints not just in testing. ③ Voice AI Systems Real-time voice pipelines built on VAPI and ElevenLabs (TTS), with Whisper streaming STT, WebSocket architecture, interruption handling, and session memory delivering sub-second latency across phone, web, and WhatsApp channels. I deploy voice AI that holds natural, production-grade conversations, not scripted demo flows that fall apart when a user goes off-script. ④ Backend & SaaS Architecture AI-first backend systems using FastAPI, PostgreSQL, MongoDB, Redis, SQLAlchemy, Docker, AWS, and GCP with async services, background workers, event-driven workflows, multi-tenant SaaS patterns, and full CI/CD pipelines. AI is infrastructure here not a frontend feature bolted on after the fact. ⑤ Deep Platform Integrations Twilio, WhatsApp Business API, Meta APIs, Stripe, Mailgun, OAuth flows, webhooks, and retry logic multi-platform automation pipelines built to operate reliably at enterprise scale without babysitting. 🏆 Flagship Work BookleeAI Multi-Channel AI Booking & CRM Automation Platform A full-stack AI platform combining voice, chat, and WhatsApp into one unified assistant — with a RAG-powered business knowledge engine, automated booking and follow-up workflows, real-time communication orchestration, and admin analytics dashboards. Enterprise Deployments: 🔸 Market intelligence automation system — 99% cost reduction 🔸 Natural language database querying engine across 1,000+ tables 🔸 CRM-integrated AI lead qualification pipeline deployed at scale 🔸 Hybrid RAG retrieval system 29% conversion rate improvement 💡 What Makes Me Different Most freelancers build chatbot demos, hardcode prompts, and ignore scalability. I build AI infrastructure architected for scale from day one, optimized for latency, cost, and reliability, and delivered as complete production-ready systems. You get end-to-end ownership: architecture, backend, AI pipelines, deployment, and ongoing optimization, not a hand-off after a prototype. ✅ I Work Best With SaaS founders adding AI-powered features → CTOs scaling backend AI infrastructure → Agencies delivering automation services → Businesses replacing manual sales workflows with AI Not the right fit for: one-off scripts, simple chat widgets, or pure frontend tasks. 🟢 If you need Generative AI, LLM engineering, RAG systems, Voice AI, or CRM automation built for production, not experimentation, let's talk. Send a message, and I'll walk you through the right architecture for your system. 𝐒𝐄𝐎 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 (Please Ignore) #LLM #AI DEVELOPMENT #PROMPT ENGINEERING #AI CHATBOT #CHATGPT #AI BOT #GENERATIVE AI #FULL STACK DEVELOPMENT #CRM AUTOMATION #SALES FUNNEL BUILDER #AI AUTOMATION WORKFLOWS # PYTHON DEVELOPER #ZAPIER EXPERT #CRM AUTOMATION #SPECIALIST INTEGRATION #AGENT BUILDER #MAKE #N8N #GO HIGH LEVEL #GHL # SALESFORCE #HUBSPOT EXPERT #INTEGRATION EXPERT

Data Scientist & AI/ML Engineer with 5+ years in building systems that think, predict, and automate; not just API calls. I take raw, messy and unstructured data and turn it into production-ready pipelines, predictive models, and executive dashboards that drive decisions. I design and ship end-to-end data and ML systems: reducing time-to-insight from weeks to hours, automating workflows that used to take entire teams, and building models that directly feed revenue. If your business runs on data, I make it generate revenue, not just reports. 🔧 Core Expertise 1. Data Analytics & BI : Exploratory analysis, KPI frameworks, executive dashboards, A/B testing, cohort analysis (Excel, Power BI, Tableau, Plotly, Looker) 2. Data Science & ML : Predictive modeling, forecasting, statistical analysis, feature engineering, model validation and deployment (Scikit-Learn, PyTorch, TensorFlow, MLflow, AWS SageMaker) 3. Data Engineering : End-to-End pipelines, ETL/ELT automation, data warehousing, real-time and batch processing (Snowflake, Databricks, dbt, Apache Spark, Airflow) 4. Generative AI : RAG pipelines, LLM fine-tuning, agentic workflows, semantic search, prompt engineering, vector databases (LangChain, LlamaIndex, Pinecone, FAISS, OpenAI, HuggingFace) 5. Automation : Workflow orchestration, API integrations, intelligent agents, process automation, web scraping (n8n, Airflow, Lambda, Selenium, BeautifulSoup) 6. Cloud & Infrastructure model deployment, scalable data systems, serverless pipelines, storage and compute (AWS- SageMaker, EC2, S3, Lambda, RDS) 💡Why Clients Work With Me Most data projects fail not because of bad data, but because the person handling it understands models but not business. I bridge both. 5+ years solving real business problems with AI and data means I understand the business problem before I touch the data, and I build solutions that solve it end to end. I communicate at every step, flag issues before they become problems, and make sure what I build fits your workflow, your team, and your timeline. What you get is senior expertise, fast turnaround, and work that is built to last beyond the contract. Let's Talk If you have data that is not working hard enough for your business, that is exactly the problem I solve. Send me a message describing your project, and I will respond within an hour.