𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐘𝐨𝐮𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐰𝐢𝐭𝐡 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐑𝐞𝐚𝐝𝐲 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 | 𝟓𝟎+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 I am an AI/ML engineer specializing in end-to-end artificial intelligence development — from concept to deployed, scalable systems that solve real business problems. With 8+ years building machine learning, deep learning, and generative AI solutions for global clients (including Huawei and Turing), I deliver reliable, production-grade systems — not just prototypes. 𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐌𝐞 𝐀𝐩𝐚𝐫𝐭: ✓ Full-stack AI delivery: requirements → architecture → deployment → maintenance ✓ Battle-tested across 50+ international projects ✓ Focus on business impact, not just technical complexity ✓ Clear communication and rapid iteration cycles 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: Computer Vision & Image Processing: Object detection | Image classification | ANPR systems | Face recognition | Video analytics | Image segmentation | OCR | Real-time tracking Natural Language Processing & LLMs: Chatbot development | RAG systems | LLM fine-tuning | Text generation | Sentiment analysis | Document summarization | Named entity recognition | GPT/Claude integration Audio & Speech Technologies: Automatic speech recognition (ASR) | Text-to-speech (TTS) | Speaker identification | Audio classification | Voice cloning | Noise reduction 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤:Python | TensorFlow | PyTorch | Keras | Scikit-learn | Hugging Face | LangChain | OpenAI API | FastAPI | Flask | Docker | AWS | Azure 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡:I take full ownership — understanding your use case, recommending the right approach, building the solution, and ensuring it works reliably in production. You get working software, comprehensive documentation, and post-deployment support. 𝐈𝐝𝐞𝐚𝐥 𝐅𝐨𝐫: Custom AI model development and training ML pipeline design and automation API development and third-party integration Proof-of-concept to production scaling Legacy system modernization with AI Let's discuss how AI can create measurable value for your business. Message me with your project details, and I'll respond with relevant examples and a clear path forward.

Thanks for visiting my profile Committed to pushing technological boundaries, I bridge global innovation with local business requirements, delivering transformative data science solutions that seamlessly adapt cutting-edge methodologies to contextual challenges. Academic & Professional Credentials - Master of Science in Data Science - 13+ Years of Cutting-Edge Experience in AI, Machine Learning, and Big Data Solutions ⚙️ My Core Strengths 🤖 Generative AI & Creative Intelligence Proficient in Stable Diffusion, DALL·E, MidJourney, ControlNet, and ComfyUI Building custom pipelines for text-to-image generation and creative automation 🧩 Natural Language Processing Deep expertise in BERT, GPT, ELMo & Transformer-based models Advanced linguistic modeling, semantic search, and chatbot systems 👁️‍🗨️ Computer Vision Systems High-accuracy implementations in: Object Detection Image Segmentation Facial Recognition OCR & Edge AI solutions 🔧 Technical Toolkit 🖥️ Programming Languages Primary: Python Additional: Java, C/C++, MATLAB, PHP 🧠 Machine Learning & AI Frameworks Deep Learning: PyTorch, TensorFlow, Keras Classic ML & Processing: Scikit-learn, Pandas, NumPy NLP Stack: SpaCy, Transformers, NLTK ☁️ Cloud & Big Data Ecosystem Cloud ML: AWS SageMaker, Azure ML, GCP AI Platform Big Data: Apache Spark, Hadoop Real-Time Data Streaming: Apache Kafka, AWS Kinesis 🧠 Automation & Workflows n8n for low-code/no-code automation Integrating AI models, APIs, and services into seamless workflows 📊 Data Analytics & Visualization Tools: Tableau, Power BI, Grafana Turning raw data into strategic decisions and actionable dashboards 🌟 What Sets Me Apart Architecting end-to-end AI/ML solutions—from ideation to deployment Real-time, scalable data pipelines tailored for business growth Cloud-native, secure, and cost-effective implementations Blend of technical depth + domain knowledge = Real Results #datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #data #programming #bigdata #coding #technology #datascientist #deeplearning #computerscience #tech #dataanalysis #datavisualization #analytics #java #pythonprogramming #database #business #software #statistics #cybersecurity #programmer #developer #iot #dataanalyst #innovation

𝐅𝐨𝐜𝐮𝐬 𝐨𝐧 𝐲𝐨𝐮𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 while I handle everything related to AI and software development. Have a great idea for an AI agent or assistant but 𝒅𝒐𝒏'𝒕 𝒌𝒏𝒐𝒘 𝒘𝒉𝒆𝒓𝒆 𝒕𝒐 𝒔𝒕𝒂𝒓𝒕? Just send me a DM and we will arrange 𝐚 𝐟𝐫𝐞𝐞 𝟒𝟎-𝐦𝐢𝐧 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐭𝐢𝐨𝐧 📞 where I will do my best to answer all your questions. [Updated: August 12, 2026] I helped a wide range of customers - from small startups to enterprises - build human-like AI agents, LLM assistants, NLP projects, RAG systems, AI Knowledge Bases, AI MVP and AI chatbots. Here are some examples: · AI assistant with RAG functionality for a leading telehealth company; · LLM-based call analysis and assessment using over 40 parameters; · LLM agent to extract information from medical records; · AI agent for a real estate sales team; · Health AI assistant for nurses; · RAG software for financial and investment analysts that processes documents in various formats; · AI real-time voice avatars for US medical students. I can help you build an advanced RAG system with your own data. Moreover, I can help you integrate AI / LLMs / ML in your business strategy, products and roadmap. "Simple put, one of the best engineers we've ever worked with" ⭐️⭐️⭐️⭐️⭐️ - Boaz, Head of RnD @ HoneyBook 𝐋𝐋𝐌𝐬: OpenAI (GPT 3.5, GPT 4, Whisper AI), Anthropic (Claude 3.5 Sonnet), DeepSeek and open-source models (Mistral, Llama 3). 𝐀𝐈 𝐬𝐤𝐢𝐥𝐥𝐬: OpenClaw, LlamaIndex, Langchain, Prompt Engineering, Vector store databases (Pinecone, Qdrant, Chroma DB), agents (AutoGPT, Autogen), chatbots, assistants, knowledge bases. 𝐃𝐞𝐩𝐥𝐨𝐲: Azure Cloud Services, Docker, AWS, Web apps, Chatbot platforms. 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠: - React & Next.js / Angular frontend architecture - Python (FastAPI) backend development - Node.js, Express.js, Nest.js APIs - SQL Server, MySQL, PostgreSQL, MongoDB - Multi-tenant SaaS platforms - Stripe billing & subscription systems If you are looking for a reliable and skilled AI developer who can deliver high-quality results, message me. I would love to hear more about your project and discuss how I can help you achieve 𝐲𝐨𝐮𝐫 𝐠𝐨𝐚𝐥𝐬.

Do you have an AI vision that needs to become a real, working product? I don't just build models; I engineer complete, scalable solutions that turn data into actionable insights and automation. For over five years, I've specialized in bridging the gap between cutting-edge Artificial Intelligence (AI) research and robust software that delivers real-world value. My core expertise lies in computer vision and machine learning, but my skill set is full-stack. This means I can own your project from the initial data pipeline, through model training and optimization, all the way to deploying a polished desktop application or a secure enterprise API. I thrive on building tools that work seamlessly for end-users, whether it's a retail manager, a traffic controller, or a sports coach. My strongest suit is developing intelligent systems that "see" and understand the world. I've built a retail analytics platform (CrowdIQ) that transforms standard CCTV into a source of business intelligence, tracking customer demographics and behavior. In the sports domain, I created PadelIQ, an analytics engine that uses computer vision to track player movement, posture, and court coverage from match footage, providing real-time coaching feedback. For public safety, I developed a traffic management system (OmniRoad AI) using advanced object detection for real-time accident and congestion monitoring. Beyond computer vision, I architect full-scale data science pipelines. A prime example is my telecom churn prediction project, where I built a machine learning model to identify at-risk customers and paired it with an interactive Power BI dashboard. This end-to-end approach—from data analysis to a clear visualization of insights—ensures the model's findings directly inform business strategy and retention actions. I also develop the tools and infrastructure that power AI applications. I've built secure, enterprise-grade systems like DevelmoGPT, a RAG-based LLM that allows for secure, semantic search over private company documents. From creating simple utilities like PDF-to-audio converters to designing complex role-based access systems, I ensure the foundation of any AI solution is reliable, secure, and maintainable. My process is collaborative and results-driven. I start by deeply understanding your business problem, not just the technical requirement. We'll then iterate through prototyping, development, and testing to ensure the final product not only meets specs but also delivers tangible ROI. I communicate clearly at every stage, providing demos and documentation so you're never in the dark. Let's connect. Share your project idea or challenge, and I'll provide a clear outline of how we can leverage AI, machine learning, or computer vision to build your intelligent solution. Click the invite button to start the conversation. /// The following is just for SEO. You can ignore it /// #computer vision #computer vision engineer #computer vision OpenCV #machine learning computer vision #deep learning computer vision #computer vision machine learning #machine learning python #nlp machine learning

I build production-ready AI systems that drive measurable ROI. With 8+ years of experience, I specialize in integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Computer Vision into scalable business applications. Core Services: - Generative AI & LLMs: Custom GPT-4, Gemini, and Llama integrations for context-aware responses. - RAG Pipelines: Connect enterprise data to AI using Pinecone, Weaviate, and LangChain. - AI Agents & Automation: Autonomous workflows reducing manual support by 60%+. - Computer Vision: Defect detection, image recognition, and real-time analysis. - Full-Stack AI: End-to-end deployment from data preprocessing to cloud APIs (AWS/Azure/GCP). Proven Impact: - E-commerce: Recommendation engine boosting sales by 42% in 90 days. - Customer Support: AI chatbot reducing ticket volume by 60%. - Manufacturing: CV solution cutting defect detection time by 70%. Tech Stack: - AI/ML: TensorFlow, PyTorch, Transformers, CNNs, NLP - LLM Tools: LangChain, OpenAI API, Hugging Face, Vector DBs - Backend: Python, FastAPI, Next.js, Docker, Kubernetes - Cloud: AWS, Azure, GCP, MLOps Why Work With Me? I do not just deliver code; I deliver business outcomes. My architecture is designed for accuracy, scalability, and security. Whether you need an AI right-hand or a complete system overhaul, I ensure your solution is production-ready from day one. Ready to transform your operations with AI? Let's discuss your project goals.

🫡 Top-Tier Professionalism, Communication, and Reliability 🥇 The Top 1% of Talent - Expert Vetted - 100% Job Success ⚡ AI Engineer combining AI speed with 12 years of production experience to deliver premium code that ships fast and scales effortlessly. Currently have availability for 1 additional project as of July 2026. 𝗜𝘀 𝘆𝗼𝘂𝗿 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗳𝗮𝗶𝗹𝗶𝗻𝗴 𝘁𝗼 𝗱𝗲𝗹𝗶𝘃𝗲𝗿 𝗱𝗲𝘀𝗶𝗿𝗲𝗱 𝗿𝗲𝘀𝘂𝗹𝘁𝘀? 𝗡𝗲𝗲𝗱 𝗵𝗲𝗹𝗽 𝗴𝗲𝘁𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘁𝗲𝗮𝗺 𝗿𝗼𝗹𝗹𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 𝗮𝗻𝗱 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁? 𝗜 𝗰𝗮𝗻 𝗴𝗲𝘁 𝘆𝗼𝘂 𝘂𝗻𝘀𝘁𝘂𝗰𝗸 𝗮𝗻𝗱 𝗺𝗼𝘃𝗶𝗻𝗴 𝗳𝗼𝗿𝘄𝗮𝗿𝗱 𝘁𝗼𝗱𝗮𝘆. Many teams bolt an API call onto existing software and call it AI. Then real users arrive: costs balloon, outputs hallucinate, and there's no visibility into why. Production AI requires a different discipline — grounding, observability, systematic evaluation — not just an API call to a thin LLM wrapper. That discipline is what I'll bring to your team. I can tell you exactly what type of AI tooling you require for your specific solution. I can help you determine the technical feasibility of your AI project 𝘣𝘦𝘧𝘰𝘳𝘦 you spend valuable time and money pursuing it. I can teach your team how to use agentic development to build software quickly and confidently. In short, I'm here to make sure you and your team get what you need from AI technology. 𝗣𝗿𝗼𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝗶𝗲𝘀 ✅ AI Pipeline Architecture: hybrid RAG, AI agents and agentic tool-calling loops (LangGraph), structured output enforcement, prompt injection defense, PII redaction, quantization ✅ AI Evaluation: LLM-as-judge frameworks, test set design, deterministic checkers, RAGAS retrieval metrics, regression tracking ✅ AI Optimization: prompt engineering, retrieval tuning, context compression (LLMLingua), caching strategy, cost/latency tradeoff analysis, experiment tracking (MLflow) ✅ Workflow Automation: n8n, Make, Zapier, scheduled and event-driven orchestration, agentic pipelines ✅ Computer Vision & Model Training: custom image-to-image model training and fine-tuning, PyTorch, GPU cloud training on RunPod, dataset curation and evaluation ✅ Advisory & Thought Leadership: AI feasibility analysis, subject-matter expertise, technical white papers, original research for leadership teams ✅ Observability: OpenTelemetry tracing, Prometheus metrics, Grafana dashboards, Loki logging, Jaeger ✅ LLM Providers & Models: Anthropic, OpenAI, Gemini, self-hosted GGUF quantized models, Llama Guard ✅ Frontend: React, Next.js, TypeScript, Tailwind, Redux, SSE/WebSocket streaming ✅ Backend: Python (FastAPI, Celery), Node.js, Go ✅ Databases: PostgreSQL, Pinecone, Qdrant, Redis, MongoDB, Firebase ✅ Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗘𝘅𝗽𝗲𝗰𝘁 - A pipeline you can trust in production — not just one that demos well. I instrument observability, build eval frameworks, and optimize systematically so you know what's working, what isn't, and why. - Full-stack ownership — I can own the AI layer, the API, and the frontend. No coordination tax between specialists; one engineer who sees the whole system, a fullstack developer who owns the AI layer, the API, and the frontend. - Communication that matches your pace — async-first with structured updates, or high-touch with regular syncs. I adapt to how your team works, not the other way around. - Clarity from ambiguity — I have built production systems from partially-defined requirements many times. If you know the problem but not the solution, that's exactly the engagement I'm built for. 📞 𝗟𝗲𝘁'𝘀 𝗧𝗮𝗹𝗸 If your AI project needs to actually work — reliably, efficiently, and at a cost that makes sense — let's talk. Schedule a no-obligation call to discuss your project in detail.

I architect AI systems that actually work in production from LLM apps to real-time decision engines. If you need more than a prototype, I can help you design and scale it. As a TopTal certified AI architect (top 3% global talent) with 8+ years of experience, I specialize in designing 𝐋𝐋𝐌-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, 𝐑𝐀𝐆 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, and 𝐢𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐚𝐠𝐞𝐧𝐭𝐬 used in fintech, cybersecurity, and enterprise AI decision systems. 𝐌𝐨𝐬𝐭 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐟𝐚𝐢𝐥 𝐛𝐞𝐜𝐚𝐮𝐬𝐞 𝐭𝐡𝐞𝐲 𝐬𝐭𝐨𝐩 𝐚𝐭 𝐝𝐞𝐦𝐨𝐬. 𝐈 𝐟𝐨𝐜𝐮𝐬 𝐨𝐧: - Turning models into scalable, reliable systems - Improving accuracy, latency, and real-world performance - Designing end-to-end AI pipelines, not isolated experiments 𝐖𝐡𝐚𝐭 𝐈 𝐂𝐚𝐧 𝐁𝐮𝐢𝐥𝐝 𝐅𝐨𝐫 𝐘𝐨𝐮: - LLM Applications (GPT, OpenAI, Claude, etc.) - RAG Pipelines (LangChain, vector DBs, semantic search) - AI Agents (multi-step reasoning, automation workflows) - Conversational AI (RASA, Dialogflow, custom NLP systems) - Predictive Models (time series, anomaly detection, trading systems) - AI for Cybersecurity (threat detection, phishing detection) 𝐑𝐞𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭 𝐈’𝐯𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝: - Built AI systems for cyber threat analysis and response automation - Developed algorithmic trading models using time series forecasting - Designed context-aware conversational AI systems - Improved model performance through feature engineering & optimization - Reduced false positives in ML systems with behavior-based scoring 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: - Python • PyTorch • TensorFlow • NLP (BERT, SpaCy) • Node - LangChain • RAG • FastAPI • Kafka • Redis - AWS • GCP • Kubernetes • Microservices 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞: - I understand both AI + production systems - I focus on business outcomes, not just models - I can take your idea from prototype → scalable system If you're building something where accuracy, reliability, and real-world impact matter, 𝐥𝐞𝐭'𝐬 𝐭𝐚𝐥𝐤.

Hey there, I am Aniket! MSc in Computational Fluid Dynamics from Cranfield University, 7 years at ANSYS as Product Owner for Conjugate Heat Transfer, 3 granted US patent, and 15+ GenAI systems shipped to production since. I build engineering simulation and AI that survives review. Most people who can run a solver cannot build an ML pipeline, and most people who can build an ML pipeline have never defended a mesh-independence study. I do both, which is why my work usually lands on problems sitting between the two. Simulation CFD end to end: geometry cleanup, meshing (snappyHexMesh, cfMesh, Salome), solving, and grid-independence studies in OpenFOAM, SU2, Fluent, and Icepak. Conjugate heat transfer, buoyancy-driven flow, multiphase, rotating machinery (MRF), FSI. FEA with documented assumptions: thermal and thermo-structural analysis, factor-of-safety iteration, and material behaviour flagged honestly so the report holds up in an audit. AI for engineering Surrogate models and multi-fidelity co-Kriging that blend many cheap coarse runs with a few expensive fine ones. On server-thermal quantities this cut prediction error by 62 to 67 percent against a single-fidelity model, so you explore thousands of design variants in the time one solver run used to take. Design optimization with genetic algorithms (NSGA-II), parametric sweeps, and knee-point selection wired straight to the solver. Applied AI RAG, agentic workflows, voicebots, information extraction, and evaluation harnesses, all in production settings. A 19-label PII/PCI classifier at 95 percent test accuracy shipped in 6 weeks. An LLM extraction pipeline that structured 1M food-product records at 90 percent field accuracy. A multilingual voice-interview platform running 100+ concurrent sessions across 11 languages at roughly $0.05 per interview. How I work I read the brief before I quote, and I say up front what is inside and outside my experience. Every simulation deliverable includes mesh-independence evidence, documented boundary conditions, and a plain statement of what was not tested. My pipelines run automated verification checks; on one study a checking step caught a sign-convention error before it reached the report. Compute and confidentiality: I run my own 24-core dual-RTX-3090 Linux server with OpenFOAM in Docker and local LLMs. Your geometry and data can stay on hardware I control, or on yours. NDA-friendly, and you own all IP and source files. Tools: OpenFOAM, ANSYS Fluent and Icepak, SU2, Salome, ParaView, Python, PyTorch, SMT, scikit-learn, LangChain, LangGraph, CrewAI, MCP, promptfoo, Langfuse, MLflow, vLLM, Ollama, FastAPI, Postgres, Docker, AWS, GCP, Azure. If you have geometry, operating conditions, or prior test data ready, send them across and I will come back with a scoped plan rather than a canned bid.

Most businesses are sitting on valuable data they never actually use. I help turn that data into predictive models, intelligent systems, and decisions that improve revenue, reduce risk, optimize operations, and uncover new opportunities. From customer churn and demand forecasting to revenue analytics, financial forecasting, anomaly detection, and AI automation, I build data science solutions that solve real business problems. I focus on outcomes, not just models. Every solution is designed to fit into your existing workflow and deliver insights your team can act on immediately. 100% Job Success Score. Top Rated on Upwork. 5-star reviews across every completed engagement. If your business is generating data, there's probably an opportunity hidden in it. Let's find it.

Experienced in building scalable real-time video intelligence systems — from traffic analytics to sports performance tracking, OCR, Speech Processing, and LLMs. With 5 years of expertise in real-time video analytics, document automation, and AI-driven insights, I leverage top technologies like Pytorch, TensorFlow, Deepstream, OpenCV, DeepSpeech, and Hugging Face to deliver scalable, intelligent systems. Let’s transform your vision into reality! 🚀 🔧 Tech Stack : 💻 Computer Vision and Video Analytics 🔹 OpenCV 🔹 TensorFlow 🔹 PyTorch 🔹 YOLO (You Only Look Once) 🔹 MMPose (Pose Estimation) 🔹 GStreamer (Video Processing) 📄 OCR and Document Processing 🔹 Tesseract OCR 🔹 EasyOCR 🔹 Pytesseract 🔹 Google Cloud Vision API 🔹 AWS Textract 🤖 RAG and LLMs (Large Language Models) 🔹 OpenAI GPT-3/4 🔹 Hugging Face Transformers 🔹 LangChain 🔹 Pinecone (Vector Database) 🔹 LLamaIndex 🔹 Ray (Distributed Computing for LLMs) 🎤 Speech Processing and Speech-to-Text 🔹 Google Speech-to-Text 🔹 Amazon Transcribe 🔹 Microsoft Azure Speech Service 🔹 DeepSpeech (Mozilla) 🔹 Coqui 🔹 Whisper (OpenAI) ⚙️ Deep Learning & Hardware Acceleration 🔹 CUDA (GPU Acceleration) 🔹 TensorRT 🔹 NVIDIA DeepStream SDK 🔹 OpenVINO 🔹 Jetson Nano (Edge Computing) 🔹 EdgeTPU 🌐 Cloud, Deployment, and DevOps 🔹 Docker 🔹 Kubernetes 🔹 AWS S3 🔹 GCP AI Platform 🔹 Jenkins 🛠️ Previous Projects : 1. AI-Powered Smart City Traffic Management System 🚦🚘 2. Smart Factory Monitoring and Safety System 🏭🚧 3. Voice-Activated Medical Transcription System 🩺📝 4. Multimodal Document Understanding and Automation 📄🤖 5. Personalized Virtual Assistant for Customer Support 🎙️💬 6. Real-Time Sports Analytics and Player Performance Tracker ⚽📊 7. Smart Home Surveillance and Intruder Detection 🏡🎥 8. AI-Powered Healthcare Data Extraction and Analysis 🏥📈 9. AI-Driven Financial Document Automation 💼📑 10. Real-Time Video Surveillance for Compliance in Factories 🎥🏭 🚀 Let’s Build the Future Together! With my extensive experience in deploying AI-driven solutions across multiple domains, I'm ready to take your projects to the next level. From Computer Vision to LLMs and OCR, I bring a passion for innovative technology and a track record of delivering high-impact solutions. Let’s transform your ideas into reality and drive success together!