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Namaste 🙏! I'm a passionate Data Scientist with an academic foundation from Northwestern University, deeply committed to advancing AI and Machine Learning across healthcare, computational biology, and scientific discovery—with particular strength in mathematically rigorous, FDA-aligned model development. Over the past year, I have successfully designed and implemented AI-driven solutions for ECG classification, denoising, medical imaging, and computational chemistry. My expertise blends deep neural architectures with advanced mathematics—Physics-Informed Neural Networks (PINNs), probability theory, stochastic processes, variational methods, and numerical optimization—to solve complex real-world problems with scientific defensibility. 🏥 FDA-Ready Clinical AI Development I have worked closely with FDA regulatory experts to bring models through clinical validation pipelines, ensuring they meet the rigor expected of medical-grade AI. My team is well-equipped to handle FDA documentation requirements (510(k) submissions, Software as a Medical Device (SaMD) artifacts, predicate analysis, validation reports, and risk management per IEC 62304 / ISO 14971) once a model is ready for launch. This means clients don't just get a working model—they get one built with regulatory submission in mind from day one. 🔬 Recent Work & Expertise in AI for Science & Medicine: ✅ ECG Signal Processing & Classification: Built deep learning models (CNNs, LSTMs, Transformers) for denoising, anomaly detection, and classification of ECG, PCG, PPG, and SCG signals—bringing them to gold-standard PhysioNet quality. ✅ Medical Image Processing (DICOM): Developed AI-driven solutions for lumbar spine classification, CT segmentation (TotalSegmentator models), fat tissue segmentation, bone mineral density estimation, and venous insufficiency detection via thermal imaging. ✅ Physics-Informed Neural Networks (PINNs): Applied PINNs to embed governing differential equations directly into the loss function—producing models that respect physical laws, generalize on sparse data, and are inherently more interpretable for scientific and clinical applications. ✅ Drug Discovery & Computational Biology: Used ML techniques to analyze molecular structures and optimize pharmaceutical compound discovery. ✅ Diffusion Models for Vision: Worked on Stable Diffusion and LoRA fine-tuning for text-to-video and image-to-video pipelines without relying on third-party APIs. ✅ AWS AI/ML Pipeline Deployment: Set up cloud-based pipelines on AWS for training, hosting, and deploying scalable ML models. ✅ Mathematical & Optimization Techniques: Leveraged variational calculus, FFT, wavelet transforms, probability theory, and evolutionary algorithms for feature engineering and model enhancement. 🧠 Core Technical Stack: 🚀 Deep Learning Frameworks: TensorFlow, PyTorch, JAX 📐 Mathematical Foundations: PINNs, probability and stochastic processes, variational calculus, numerical optimization, Bayesian inference 🔬 Generative & Diffusion Models: Stable Diffusion, LoRA, GANs, VAEs 📊 Classical ML: Random Forest, SVM, Gradient Boosting, RAG-based retrieval 👁 Computer Vision: CNNs, Vision Transformers, OpenCV, DICOM processing using SwinUNETR (3D U-Net + Swin), segmentation with nnU-Net 📝 NLP: Transformer-based LLMs, Hugging Face, LangChain, LlamaIndex 💡 Signal Processing: FFT, spectrograms, wavelet transforms, optimization methods ☁ Cloud & MLOps: AWS, Azure, GCP, Kubernetes, FastAPI, DevOps pipelines Why Work With Me? 🔹 Specialized in AI for healthcare, computational biology, and scientific discovery 🔹 Strong mathematical and probabilistic foundation—not just black-box deep learning 🔹 Experience working alongside FDA experts on clinical validation, with a team prepared to handle regulatory documentation 🔹 End-to-end delivery: from research and prototyping to deployment and submission-ready artifacts 🔹 Real-world projects that impact both research and industry Let's connect and build scientifically rigorous, regulation-ready AI together!

Once an Astrophysics Researcher, now a 3× AI Founder. 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. 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. 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 — 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 ✅ 70%+ 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 $1million in ARR ✔ You already have operations running — 20 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, reduce manual work, or scale operations using AI, message me. We’ll map your workflow, identify the ROI opportunity, and show you exactly what should be built.

🌟 Top Rated Plus AI Engineer | PhD in Computer Science (AI, ML & Generative AI) I specialize in transforming complex ideas into scalable, real-world AI solutions that deliver measurable impact. With a strong blend of research excellence and practical implementation, I help businesses and researchers build intelligent systems that actually work in production. 🧠 Core Expertise 🔹 Computer Vision (YOLO, Vision Transformers, Object Detection) 🔹 Deep Learning (CNNs, Transformers, Vision Transformers - ViTs) 🔹 Generative AI & Large Language Models (LLMs) 🔹 NLP & Fine-tuning (BERT, LLaMA) 🔹 Predictive Modeling & Data Science 🔹Model Optimization & Deployment 💼 Featured Projects 🚧 AI-based Helmet Detection System (YOLOv8 + Vision Transformers) 🌱 Plant Disease Classification using Deep Learning 📉 Customer Churn Prediction System 🧾 Urdu NLP & LLM Fine-tuning Solutions 🏥 Medical Imaging with Explainable AI (Grad-CAM) 🎯 What I Can Do for You ✔ Design and develop custom AI/ML solutions tailored to your business ✔ Build Computer Vision systems (detection, classification, segmentation) ✔ Fine-tune and deploy LLMs & Generative AI applications ✔ Convert research papers into working, production-ready models ✔ Optimize models for performance, scalability, and deployment 🛠️ Tech Stack 💻 PyTorch | TensorFlow | OpenCV | Transformers | Python | Scikit-learn 💡 Why Choose Me? ✨ Top Rated Plus freelancer with a proven track record ✨ Strong PhD-level research + industry implementation expertise ✨ Clear communication, reliability, and on-time delivery ✨ Focus on building accurate, efficient, and production-ready AI systems 📩 Let’s collaborate to bring your AI idea to life! If you’re looking for a dependable expert in AI, Machine Learning, or Generative AI, I’d be happy to discuss your project. Regards 𝑫𝒓. 𝑺𝒂𝒏𝒂 𝑪𝒉𝒆𝒆𝒎𝒂

AI Engineer with over 6 years of hands-on experience in Natural Language Processing (NLP), Computer Vision, and Recommender Systems. With a proven track record on Kaggle, I'm ranked in the top 10% of competitors worldwide. 🌍 My expertise extends to designing, training, testing, and deploying end-to-end applications using Django, Nginx, and Gunicorn on platforms such as AWS, Heroku, and GCP. I have a solid background in working with REST APIs and containers, ensuring smooth integration and deployment of AI solutions. 🚀 My technical toolkit includes: 🔸 Deep Learning Models: Keras, TensorFlow, PyTorch 🔸 Batch & Stream Processing: Spark SQL 🔸 Backend Development: PostgreSQL 🔸 AWS Services: S3, Kinesis, Dynamo DB, Elasticsearch, Redis via Boto3 In the NLP domain, I have worked on developing chatbots, data extraction pipelines, text classification, and sequence labeling. I have also finetuned large language models like GPT-3 and LLAMA for specific use cases. In Computer Vision, I've worked on object detection, OCR models, player and ball tracking in sports analytics, video analytics and more. I have a track record of creating efficient models for fast processing and small memory usage. In Generative AI, I have developed high-quality image generation models using stable diffusion and text generation models using OpenAI GPT models. I've had the privilege to work with diverse remote teams from the USA, Russia, Germany, Japan, and the Philippines, honing my collaboration and communication skills. Let's leverage AI to transform your business processes, enhance customer experiences, and unlock new opportunities. Reach out to discuss how we can collaborate to achieve your goals. Looking forward to helping you bring your AI vision to life! 😊

🚀Hi! I help startups go from demo → market-ready AI product - fast! I plug into your team and ship production ready features that customers love. 🏆 Top 1% (Expert-vetted) | 8+ years| 100% JSS | 35+ Delighted Clients | 18+ E2E Deployments 🎯 "𝘒𝘶𝘯𝘫𝘢𝘯 𝘪𝘴 𝘢𝘯 𝘢𝘣𝘴𝘰𝘭𝘶𝘵𝘦 𝘨𝘦𝘮! 𝘚𝘩𝘦 𝘸𝘦𝘯𝘵 𝘢𝘣𝘰𝘷𝘦 𝘢𝘯𝘥 𝘣𝘦𝘺𝘰𝘯𝘥. 𝘛𝘦𝘢𝘮𝘪𝘯𝘨 𝘶𝘱 𝘸𝘪𝘵𝘩 𝘩𝘦𝘳, 𝘸𝘦 𝘣𝘶𝘪𝘭𝘵 𝘳𝘰𝘣𝘶𝘴𝘵 𝘥𝘢𝘵𝘢 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦𝘴, 𝘰𝘱𝘵𝘪𝘮𝘪𝘻𝘦𝘥 𝘓𝘓𝘔𝘖𝘱𝘴, 𝘵𝘳𝘢𝘯𝘴𝘪𝘵𝘪𝘰𝘯𝘦𝘥 𝘧𝘳𝘰𝘮 𝘧𝘢𝘯𝘤𝘺 𝘥𝘦𝘮𝘰𝘴 𝘵𝘰 𝘢 𝘴𝘤𝘢𝘭𝘢𝘣𝘭𝘦 𝘈𝘐 𝘱𝘳𝘰𝘥𝘶𝘤𝘵 𝘵𝘩𝘢𝘵 1000𝘴 𝘰𝘧 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳𝘴 𝘭𝘰𝘷𝘦!" - CTO, Healthcare startup, SF (1 of many 5-star reviews) Over 7+ years on Upwork, I've helped startups and enterprises across sectors - Marketing, Healthcare, Law, Education, and Agribusiness - translate AI into measurable business ROI by building the right data and ML foundations. Whether collaborating with 1000+ employee companies or lean 2-person startups, I adapt to the team’s needs: reporting directly to CEOs or CTOs as an AI/Data Lead, or integrating as a hands-on contributor alongside in-house developers. I bring a “brain-for-hire” + hands-on mindset - tackling strategic and technical challenges with equal enthusiasm, always focused on delivering outcomes, not overhead. 👀 See 8+ Case Studies & Demos: totemxlabs dot com/#casestudies 🎯 Recent Success Stories (2024-2025) 1. Graph RAG for Marketing & Strategic decisions Implemented knowledge graph-powered RAG systems using Neo4j for marketing intelligence and SEO optimization - enabling sophisticated knowledge checks and relationship-based insights that traditional RAG cannot achieve. 2. Workplace Safety Vision System Deployed end-to-end computer vision solution for workplace health and safety compliance - real-time hazard detection, PPE verification, and automated incident reporting. 3. Healthcare Diagnostic Knowledge Graph Developed evidence-based diagnostic system using knowledge graphs for healthcare - producing auditable, traceable diagnostic reasoning paths that meet clinical documentation standards. 🧭 My Proven AI Product Process: Discovery: Identify high-ROI AI opportunities aligned with your goals. Data Assessment: Evaluate data availability, relevance, quality. Solution Design: Define user journeys, tech stacks, evaluation frameworks. Development: Optimized sprints for cost-effective, robust AI solutions (min. tech debt). Deployment: Scalable architectures, rigorous testing for production readiness. 💡 Technical Expertise: GenAI & LLMs: LLM Ops (Fine-tuning, Prompt Engineering, RAG, Agentic Workflow, Multi-agent systems, Memory Management), LangChain, LangGraph, LlamaIndex, LangServe; Vector Search (Pinecone, Weaviate, Chroma, FAISS). AI/ML & MLOps: Predictive Analytics, Recommender Systems, RLHF; Model Lifecycle, MLflow, Feature Stores; PyTorch, TensorFlow, Scikit-learn. Cloud & Infra (Multi-cloud): AWS (Lambda, ECS, ElastiCache, DynamoDB, API Gateway), Azure, GCP, Vertex AI, SageMaker; Docker, Kubernetes (EKS/GKE). Software & Data Eng: Python (expert), Fullstack; FastAPI, Flask, Django; REST, GraphQL, OpenAPI, AsyncIO; Batch/Stream (Airflow, Spark, Kafka), Pandas, Polars, dbt; ETL/ELT. DBs/Arch/DevOps: PostgreSQL, MySQL, DynamoDB, MongoDB, Vector DBs (Pinecone, Weaviate, ChromaDB), Neo4j; Microservices, GitHub Actions, Terraform, CI/CD pipelines. 🤝 Why Partner With Me? I help architect and develop E2E AI solutions merging tech excellence with business acumen. Let's transform the AI wave into your competitive edge. ✅DM me if you have an exciting problem to solve! —Updated January, 2026— Latest LLMs (2025-26): GPT-5.2 (OpenAI's flagship with 26% lower hallucination rate) Claude 4.5 Opus & Sonnet 4.5 (200K context, breakthrough coding performance) Gemini 3 Pro & Flash (Deep Think mode, multimodal excellence, 1M token context) DeepSeek V3.2 & R1 series (685B parameters, hybrid thinking/non-thinking modes) Qwen 3 series (open weight dense and mixture-of-experts (MoE) model for reasoning tasks) Agentic AI Frameworks: Langchain & LangGraph (stateful graph-based workflows, production-grade orchestration) OpenAI Agents SDK (lightweight with guardrails and handoffs) CrewAI (role-based multi-agent collaboration, human-in-the-loop) LlamaIndex Agents (RAG-first agent capabilities) AI workflow automation: n8n Knowledge Graphs & Graph RAG: Neo4j 2025 features: Community summaries, parallel retrievers, LLM Knowledge Graph Builder Neo4j Aura Graph Analytics Graph RAG architecture Cypher query optimization, graph embeddings for ML Agentic knowledge graph construction with provenance Computer Vision Applications: Workplace safety, Video generation Multimodal Vision Language Models (VLMs) Context engineering for high quality content generation

G’day! I am a dedicated machine learning architect wielding a PhD in Computational Neuroscience and over 13 years of profound experience almost entirely focused in the domain of Machine Learning. My academic and corporate journeys have fortified my expertise in artificial intelligence, with a deep-seated mastery in language models, natural language processing, and predictive analytics. 𝗖𝗼𝗿𝗲 𝗔𝗿𝗲𝗮𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ✅ Machine Learning & AI: Unrivaled expertise in designing and deploying complex ML systems, with a special emphasis on large language models (LLM) and NLP. My forte is building systems that understand, interpret, generate, and respond to human language in profound ways. ✅ Deep Learning & Neural Networks: Comprehensive experience in developing Deep Learning models for a variety of applications, including computer vision, audio and signal processing, OCR, generative adversarial networks (GANs). ✅ Predictive Modeling & Analytics: Skilled at unveiling trends and patterns through advanced statistical methods, creating dynamic models for forecasting, risk assessment, and decision-making in volatile domains such as cryptocurrency and sports betting. ✅ Quantitative Research: Proven background in quantitative analysis, underpinning ML algorithm development with rigor and precision. 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝘆: While my passion and core competence lie in AI/ML, I lead a synergistic team of business partners who are front-end wizards, design gurus, and back-end experts. Together, we offer a comprehensive full-stack solution, ensuring seamless integration of sophisticated AI/ML capabilities with user-centric interfaces and robust back-end systems. ✅ Front-End Mastery: Through my partners, we craft engaging user experiences backed by modern frameworks like React and Angular, wrapped up with the latest in UX/UI design principles. ✅ Back-End and DevOps Collaboration: We build scalable back-end architectures complemented by microservices, REST APIs, and top-notch database optimization, reinforced by DevOps best practices using Jenkins, GitLab CI/CD, and Kubernetes for continuous delivery. 𝗣𝗵𝗗 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗮𝗻𝗱 𝗖𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗲 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: My research papers reflect cutting-edge developments in computational neuroscience and ML, and my industry roles at leading tech firms demonstrate the application of these insights to real-world problems. To verify my academic contributions, please search for 'Chanakya Reddy Patti' on Google Scholar. 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻: I've been honored with international scholarships such as the 'Deutscher Akademischer Austauschdienst' and the Australian Postgraduate Award, which attest to my scholarly impact and technical acumen. Engaging with my services offers a deep dive into AI with a focus on harnessing NLP, NLG, and AIGC using Python's versatile toolkits. My work synthesizes these technologies to forge intelligent systems that excel in language comprehension and generation. I provide tailored AI solutions that enable sophisticated, data-driven decision-making engines, honed for high-stakes environments like cryptocurrency and precision market forecasting. Let's connect to discuss how my team and I can bring your project to the pinnacle of innovation and market readiness with the power of advanced AI and machine learning. 𝗜 𝗼𝗳𝗳𝗲𝗿 𝟭𝟱-𝗺𝗶𝗻𝘂𝘁𝗲 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝟭𝟬 𝗔𝗠 𝘁𝗼 𝟲 𝗣𝗠 𝗠𝗲𝗹𝗯𝗼𝘂𝗿𝗻𝗲 𝘁𝗶𝗺𝗲. Simply reach out to me directly to book a call.