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🟢 Available Now Ready to collaborate 24/7 — I’m a full-time freelancer on Upwork. Let’s Take Your Business to the Next Level Building AI solutions should feel innovative, not overwhelming. For the past 3+ years, I’ve worked on solving real-world problems through Artificial Intelligence, transforming raw data into intelligent systems that create meaningful impact. I specialize in Machine Learning, Deep Learning, Computer Vision, NLP, LLM applications, and Predictive Analytics—building solutions that move beyond experimentation and focus on real-world implementation. 𝗛𝗼𝘄 𝗜 𝗰𝗿𝗲𝗮𝘁𝗲 𝗶𝗺𝗽𝗮𝗰𝘁: 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: Developed Stress Detection, Anxiety Detection, and Depression Detection systems using facial analysis, Action Units, video processing, and deep learning techniques. 𝗡𝗟𝗣 & 𝗟𝗟𝗠 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀: Exploring chatbot development, AI automation, text processing, and LLM-powered applications. 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗔𝗜 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: From data preprocessing and feature engineering to model training, optimization, deployment, and scalable AI workflows. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: Python • Machine Learning • Deep Learning • PyTorch • TensorFlow • OpenCV • YOLO • NLP • LLM Applications • Data Analysis • Predictive Analytics I enjoy building AI systems that solve complex challenges in healthcare, finance, automation, and intelligent applications. Always open to discussing AI projects, collaborations, and innovative ideas.

Senior AI Engineer | Generative AI | Full Stack ML Systems | YOLO Expert | MLOps I’m a specialized AI/ML engineer with over 3 years of hands-on experience designing and deploying end-to-end machine learning systems — from custom LLM pipelines and vision models to scalable backend integrations and autonomous AI agents. I work at the intersection of deep learning, production-ready engineering, and AI-driven product development. Specialties: Computer Vision & Object Detection • Full expertise across all YOLO variants: YOLOv3, YOLOv4, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLO-NAS • Custom training with annotated datasets (COCO, Pascal VOC, custom formats) • Model compression, quantization, ONNX/TensorRT export for edge deployment • Real-time inference APIs, multi-object tracking (DeepSORT, ByteTrack) • Medical and industrial use-cases (e.g., diagnostics, defect detection) LLMs & Generative AI • Local + API-based LLM integration: OpenAI, LLaMA, Mistral, Falcon, GPT-J • RAG architecture using FAISS, Chroma, Weaviate, Qdrant • LangChain agent chains: tool use, memory, routing, and personalization • Multi-modal pipelines: text + image + document reasoning MLOps & Deployment • FastAPI, Docker, TorchServe, BentoML for scalable deployment • Model optimization: pruning, quantization, batching • GPU-accelerated workloads (AWS, Lambda Labs, GCP) • CI/CD pipelines for reproducible ML development Full Stack AI Engineering • Frontend: React, Next.js, Tailwind • Backend: FastAPI, Node.js, RESTful + WebSocket APIs • Databases: PostgreSQL, MongoDB, Redis • Autonomous agents with Playwright, ScrapeGraphAI, Selenium, LangGraph Project Highlights: • YOLOv11-based Smart Surveillance: Deployed real-time detection + tracking for multi-class scenarios with alerting pipeline and frontend dashboard. • Medical VQA & Reporting: Created a multi-modal system that extracts diagnostic details from X-rays + generates detailed reports using VQA + LLMs. • AI Search Agent: Built an autonomous search bot using LLMs + real-time scraping with memory and historical context integration. • Document Generation Platform: Custom-built platform using local LLMs to generate reports, contracts, and structured documents with fine control. Why Hire Me? • Expert in both research-level ML and scalable production systems • Proven experience with high-impact, real-world AI projects • Focus on clean code, optimization, and long-term maintainability • Strong communicator who aligns deliverables with your business goals Let’s build something advanced. Drop a message — I respond fast and speak your tech language.

I build production AI systems that combine computer vision, generative models, LLM agents, and reliable GPU inference. If a model works in a notebook but struggles with real data, privacy, latency, or deployment, I can turn it into a dependable application. I recently delivered the computer-vision work for a real-time robotic picking system. The client gave the project five stars and highlighted how quickly I completed the required work and helped recover lost project time. Selected production and applied-AI work includes: - edge ANPR with 99.4% plate-read accuracy and 45 ms end-to-end latency; - a turnkey factory vision system using a 120 fps camera, custom detection, edge deployment, and an operator UI; - real-time stereo depth and floor-obstacle mapping for robots, with TensorRT INT8 optimization; - custom training and inference adaptations for face restoration, super-resolution, image-to-image synthesis, and diffusion-based editing and augmentation; - multimodal document workflows that ingest images, PDFs, spreadsheets, and CSV files, then perform structured extraction, business-rule validation, and confidence-gated human review; - internal LLM workflows for context matching, tool-assisted processing, and reviewable draft generation; - a model-agnostic GPU inference platform with Docker workers, local and cloud execution, VRAM checks, retries, autoscaling, and status tracking. I can help with: - LLM and generative-model fine-tuning, evaluation, and data-pipeline design, including LoRA/PEFT when appropriate; - AI agents, RAG, tool calling, structured outputs, memory, and human-in-the-loop workflows; - private or self-hosted inference architecture, model selection, quantization trade-offs, Docker/GPU setup, and API integration; - diffusion-model adaptation, controlled image generation, face analysis, video frame selection, and thumbnail-candidate pipelines; - object detection, segmentation, tracking, pose, OCR, document AI, robotics, and industrial machine vision; - PyTorch, OpenCV, FastAPI, ONNX, TensorRT, NVIDIA Jetson, and production evaluation and monitoring. Send me a sample input, the output you need, and your deployment constraints. I will give you a direct feasibility assessment and a practical first milestone.

AI Engineer & Founder — I build enterprise grade AI systems. Once an astrophysics researcher, now a 3× AI founder with 80+ systems in production across the US, UK, Europe UAE, and India. I turned curiosity about the universe into AI systems that drive measurable business outcomes. I’m Vivekjyoti Bhowmik, Founder of TOINGG an AI Communication OS and PGAGI, an AI consultancy building production-grade AI systems for businesses across the US, UK, GCC, UAE, Australia, and India. Having a team team of 45+ AI Engineers, AI Developer, Machine learning engineers, AI automation expert, Full-stack engineer, App developers, UI/UX desginers. Over the last few years, my team and I have built 80+ AI systems across industries. - Real production systems with users, revenue, workflows, and business impact. We specialize in building AI systems that are: → Enterprise-grade → Multi-tenant → Scalable → Secure → Integrated into real business operations → Built for ROI, not experimentation One of the platforms we helped build, Branify, crossed 50,000+ live users within one month of launch in 2026 may generated over $2million in revenue in 3months. Across our portfolio, more than 70% of the products we’ve built are live, used by real customers, and have paying users. Today, we don’t just “build AI.” We implement AI into business workflows to generate ROI within 90 days. What We Actually Do We design and deploy AI systems that replace manual work, increase conversion, and reduce operational load. → Turn inbound leads into qualified meetings automatically → Replace repetitive operations with AI-driven workflows → Build AI systems on top of your existing stack — CRM, WhatsApp, ERP, databases, spreadsheets, and internal tools → Create decision systems that improve revenue, not just dashboards → Build scalable AI products with multi-tenant architecture, role-based access, usage tracking, and production monitoring Real Business Impact  AI Communication System — TOINGG handles high-volume AI calling workflows with scalable infrastructure and 99.9% uptime focus  Branify — AI Ed-tech platform with 50,000+ live users within one month of launch Outreach System — 200 cold messages converted into 8 qualified meetings and $7million sales in pipeline Global Clients — US, UK, UAE, GCC, Australia, and India 80%+ of products built are live with real users and paying customers Revenue & Sales Systems We build AI systems that help businesses convert more leads without increasing manual workload. Examples: → Lead comes in → AI qualifies the lead → Tags them as HOT / WARM / COLD → Books a call → Updates CRM → Hands off to the sales team only when needed This helps your team focus on high-value conversations instead of repetitive follow-ups, lead sorting, and data entry. Operational Automation We automate internal workflows that usually consume hours of manual work. Examples: → PDFs, Excel files, emails, and forms processed automatically → Data cleaned, structured, and pushed into CRM / ERP / Google Sheets → Missing data, delays, or incorrect entries detected in real time → Alerts and tasks triggered automatically → Humans involved only for approvals, exceptions, and critical decisions Data → Decisions We build AI systems that execute and make desicions. They trigger action. → Forecasting → Automated reporting → Business intelligence with execution layer → Decision support systems → AI dashboards connected to workflows Custom AI Products For founders, startups, and growing businesses, we build complete AI products from scratch. This includes: → Multi-agent architectures system → Multi- model RAG pipelines (scalable) → Enterprise-grade SaaS platforms → Multi-tenant backend systems → AI workflow automation → Role-based dashboards → Voice AI and communication systems → Scalable APIs and infrastructure We Are a Fit If Your business is doing minimum $500k in ARR You already have operations running — 10+ people team, leads, data, customers, or workflows You want to implement AI into real business processes You need scalable, production-grade systems You care about outcomes, speed, and execution Not a Fit If You are exploring AI just to try it Price matters more than business outcome There is no clear use case or objective You are not ready to execute fast Why Founders Work With Us → We think like partners, not developers → We focus on outcomes first, AI second → We build systems that integrate into your business, not sit outside it → We understand product, architecture, AI, and business ROI together → We have experience building systems used by millions of real users If you are looking to increase revenue, build scalable AI porduct, or Automate operations using AI, message me. We’ll map your workflow, identify the ROI opportunity, and show you exactly what should be built.

🏆 Certified Data Scientist and ML Engineer with a proven track record in developing robust machine learning, deep learning, computer vision, and audio processing solutions. 🎯 Efficient, Timely, and Results-Driven Services in the Following Fields: ☑ 𝗢𝗯𝗷𝗲𝗰𝘁 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 • Processing images and videos, including frame extraction. • Creating clean datasets for model training and testing. • Building object detection models from scratch. • Transfer learning and model fine-tuning. • Hyper-parameter optimization. • Evaluating models with real-world data. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Tensorflow, OpenCV, PIL, Scikit-learn ☑ 𝗔𝘂𝗱𝗶𝗼 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Processing raw audio files and cleaning noise. • Generating spectrograms, mel-spectrograms, and MFCCs. • Creating and fine-tuning audio classification models. • Utilizing transfer learning for improved performance. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Tensorflow, Librosa, Matplotlib, Scikit-learn ☑ 𝗗𝗮𝘁𝗮 𝗖𝗹𝗲𝗮𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 • Balancing datasets and removing irrelevant samples. • Conducting exploratory data analysis. • Extracting business and scientific insights. • Visualizing data with scientific plots and diagrams. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn ☑ 𝗜𝗺𝗮𝗴𝗲 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 • Expertise in image processing, including medical imaging (e.g., mitosis detection in WSI). • Building and fine-tuning DL models. • Deploying models into applications using transfer learning. 𝙏𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙎𝙠𝙞𝙡𝙡𝙨: Tensorflow, Numpy, Matplotlib, YOLO, OpenCV, Laravel, PHP I am committed to transparent communication and timely delivery of results. I strive to exceed client expectations and ensure satisfaction. Feel free to contact me to discuss potential collaborations. I look forward to working with you! Thank you! 🙏🏼😊

With 5+ years across Computer Vision, NLP, and full-stack AI development, I've delivered: 🎯 Computer Vision & Object Detection — Real-time YOLOv8/v9 pipelines with 96.8% accuracy (passenger detection system) — Parking occupancy detection, multi-camera feed processing, ROI-based classification — Medical image AI: 96% pneumonia detection, 94% brain tumor classification — OpenCV, image segmentation, hyperspectral imaging (from MSCS research) 🤖 NLP, LLMs & RAG Systems — RAG-based chatbots with real-time database integration — Healthcare NLP: 95% F1-score for medical entity extraction — AI Purchase Agent with reorder forecasting & supplier comparison (5★ client review) — GPT, BERT, LangChain, vector databases, semantic search 📊 Data Science & Fraud Detection — Real-time fraud detection: 99.2% accuracy at 10,000+ transactions/minute — ML pipelines on Azure, MLflow experiment tracking — XGBoost, ResNet, CNN, TensorFlow, PyTorch ⚙️ Backend & Deployment — FastAPI, Flask, Docker, Apache Kafka — Azure cloud deployment, SQL Server — Clean, documented, production-grade Python code I hold an MSCS in Deep Learning from GIK Institute and a BSc in AI/ML from Bahria University, and I'm currently Senior Data Scientist at SeethruTech. → Available 30+ hrs/week | 0–4 hr response | 100% delivery rate → Let's discuss your project — I respond within 2 hours.