I have 7+ years of experience in Machine Learning, Natural Language processing, Generative AI, Data Science, Deep Learning and Software Development, Completed my Phd in NLP(Deep Learning). Previously worked with ABB Electric and Netapp. Alumni of PSG Tech, Coimbatore and College of Engineering, Guindy. Being an ardent NLP Researcher, I am fluent in working with advanced NLP techniques such as LLMs, BERT embeddings, its variations and T5 based models for solving NLP related challenges. Published research work related to Deep learning / NLP in Elsevier Journal and international conferences. Also have a publication in Taylor & Francis wherein I have researched on Bio-inspired optimization for Machine Learning models. Open to consulting/freelancing in Natural Language Processing / Machine Learning/Data Science / Software development. Programming skills : Python, C#, Matlab, VBA Major libraries used : Sci-kit learn, Tensorflow, Keras, Pandas,Numpy, Matplotlib, Gensim, HuggingFace, Pytorch, NLTK NLP algorithms used : fine-tuning LLMs with custom data(Falcon 7-B,Falcon 40-B,Llama-2), Chatbot Development (Falcon 40-B), GPT-4, Bert, Domain Adaptive BERT, T5, Word2Vec, GLOVE, FASTTEXT, ELMO, Siamese LSTM, NMF, LDA, LSI, Key-BERT ML algorithms used : SVM, k-Means, Naive Bayes, Decision Tree, Random Forest, Extreme Learning Machine, Ensemble classifiers, Linear regression, Logistic regression, Databases : MySQL Data Visualization : PowerBI

I'm a Full-Stack AI/ML Engineer specializing in building and deploying complete AI SaaS products from backend AI logic to frontend user experience. I work extensively with Claude, OpenAI, Gemini, and Deepseek to build intelligent systems like AI chatbots, RAG-based knowledge platforms, and multi-agent automation frameworks that turn raw data into real business value. I don't just build AI models I build full, production-ready AI SaaS applications: scalable backend architecture, clean APIs, database design, and deployment pipelines, combined with robust AI/ML integration. What I Build: ✅ AI SaaS Products – full-stack, end-to-end AI-powered platforms ✅ Claude & LLM Integration – OpenAI, Claude, Gemini, Deepseek ✅ RAG Systems & Knowledge Bases – for accurate, context-aware AI responses ✅ AI Chatbots & Conversational AI – for websites, apps, and customer support ✅ AI Agents & Multi-Agent Systems – for automated decision-making ✅ NLP & Text Analytics – summarization, sentiment analysis, entity recognition ✅ Workflow Automation – n8n, Make, Zapier, GoHighLevel ✅ Python Development – Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, LangChain Full-Stack Skills: Backend: Python (FastAPI/Django/Flask), API design, database integration Frontend: Modern, responsive interfaces connected to AI backends Deployment: Cloud hosting, scalable pipelines, production-ready systems Why Clients Choose Me: ✅ Complete AI SaaS delivery not just isolated scripts or models ✅ Cross-domain expertise: AI + Full-Stack Dev + Automation ✅ Fast delivery with clean, maintainable, scalable code ✅ Clear, proactive communication throughout the project 💬 Let's build a complete AI-powered product together from idea to a fully deployed, scalable solution.

𝗠𝗼𝘀𝘁 𝗔𝗜 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗱𝗼𝗻'𝘁 𝗳𝗮𝗶𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝗱𝗲𝗹 𝘁𝗵𝗲𝘆 𝗳𝗮𝗶𝗹 𝗯𝗲𝗰𝗮𝘂𝘀𝗲 𝘁𝗵𝗲𝘆 𝗻𝗲𝘃𝗲𝗿 𝗯𝗲𝗰𝗼𝗺𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘀𝘆𝘀𝘁𝗲𝗺𝘀. 𝗧𝗵𝗮𝘁'𝘀 𝘄𝗵𝗲𝗿𝗲 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽. I'm a 𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 specializing in 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀, 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀, 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜, 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚), 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜, 𝗮𝗻𝗱 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻. I partner with startups and enterprises to design, build, and deploy AI solutions that integrate seamlessly into existing products and business operations—transforming AI from isolated experiments into scalable, business-critical systems. Over the past several years, I've delivered production AI solutions across multiple industries, including 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲, 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀, 𝗠𝗼𝗿𝘁𝗴𝗮𝗴𝗲 & 𝗟𝗲𝗻𝗱𝗶𝗻𝗴, 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻, 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲, 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝗦𝘂𝗽𝗽𝗼𝗿𝘁, 𝗮𝗻𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗮𝗮𝗦. My experience spans the complete AI lifecycle—from solution architecture and backend engineering to deployment, observability, optimization, and long-term scalability. Currently, I build enterprise AI infrastructure that enables engineering teams to securely leverage multiple LLM providers through centralized model routing, prompt management, AI agent orchestration, observability, and evaluation. I also develop autonomous AI systems that monitor regulatory changes, automate complex business workflows, and help organizations reduce manual effort while improving operational efficiency. 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗕𝘂𝗶𝗹𝗱 • 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 & 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 for customer support, operations, research, and business process automation • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 powered by RAG, vector databases, and secure document intelligence • 𝗩𝗼𝗶𝗰𝗲 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 for customer service, appointment scheduling, lead qualification, and conversational automation • 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 integrating AI with CRMs, internal tools, APIs, databases, and business applications • 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 using OCR, LLMs, and AI-powered information extraction • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 featuring model routing, prompt management, observability, evaluation, and governance • 𝗖𝘂𝘀𝘁𝗼𝗺 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 that embed AI capabilities into existing products and internal systems 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • 𝗔𝗜 & 𝗟𝗟𝗠𝘀: OpenAI, Claude, Gemini, Llama, LangGraph, LangChain, MCP, Prompt Engineering • 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Python, FastAPI, REST APIs, AWS, Docker, Cloud Deployments • 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: RAG, Vector Databases, AI Agents, Workflow Automation, Voice AI, OCR, Document Processing 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ✔ Build production-ready AI systems—not proof-of-concepts ✔ Strong software engineering foundation with enterprise experience ✔ Design scalable architectures that integrate with real business workflows ✔ Focus on measurable business outcomes, maintainable code, and long-term reliability ✔ Clear communication, transparent delivery, and a collaborative approach from discovery through deployment Whether you're building an AI-powered product, modernizing an existing application, deploying intelligent agents, or automating complex business workflows, I can help you design, architect, and deliver AI solutions that are secure, scalable, and ready for production.

Top 1% Upwork specialist in AI & Embedded Systems. I architect and build solutions using LLMs, CV, and C++/Qt on Nvidia Jetson. My focus is turning your ambitious vision into a reliable, high-performance product. As a Georgia Tech graduate with over 10 years of hands-on experience, including foundational work in the autonomous driving sector of German automotive industry, I partner directly with clients to solve their toughest technological challenges. I am committed to writing clean, efficient, and test-driven code, ensuring your project is built for scalability and long-term success. Here's where my expertise lies: ✅ Intelligent AI, LLM & Agentic Systems Generative AI & LLMs: I architect advanced solutions using the OpenAI API, Gemini, Llama 3, and custom models, specializing in Retrieval-Augmented Generation (RAG) for powerful, context-aware applications. Agentic AI: I build autonomous AI agents that can reason, plan, and execute complex tasks. Full-Stack ML: I manage the entire machine learning lifecycle, from data processing and model training (YOLO, TensorFlow, PyTorch) to robust deployment. ✅ High-Performance Computer Vision (CV) Algorithm Optimization: I have proven experience in optimizing state-of-the-art detection, tracking, and stereo vision algorithms for maximum performance on edge devices. OpenCV, NVIDIA Jetson & DeepStream: My expertise includes deploying real-time vision applications using the complete NVIDIA toolkit, including FFMPEG, GStreamer, TensorRT and DeepStream. ✅ Robust Embedded Systems & Software C++ & Qt Development: I craft high-performance, cross-platform applications with clean C++ and the Qt framework. Embedded Linux & Hardware: I am highly adept at developing for a wide range of platforms, including ROS, Nvidia Jetson, STM32/STM32MP1, Raspberry Pi, and BeagleBone. Protocol Specialist: I have worked on numerous communication protocols like CAN, CANFD, SomeIP, TAPI, Flexray, RSMP, BACnet, OPCUA, MQTT, TCP/IP, UDP/IP, RSTP, ONVIF and many others. When you hire me, you are partnering with a dedicated, top-rated expert who is personally invested in delivering results.

I'm Vishwajeet Panda, a highly motivated and results-oriented tech professional with a passion for innovation and a proven track record of success. As a winner of the Smart India Hackathon in both 2022 and 2023, I possess strong technical expertise in Machine Learning (ML), Deep Learning (DL), and web development. My diverse skillset encompasses Python, TensorFlow, Keras, Scikit-learn, and more. I also have experience with MLOps, Flask, OpenCV,and web development frameworks. Here's what sets me apart: * My victories in Hackathons showcase my ability to tackle complex challenges and deliver innovative solutions, in tight deadlines. * My top priority is high quality work and I thrive on building successful partnerships and exceeding expectations. Ready to discuss your project? Leveraging my skills and experience to bring your vision to life. Contact me today to discuss how I can contribute to your success. Email: panda18vishu@gmail.com

I build real-time computer vision systems for robotics, manufacturing, and industrial automation fully deployed on NVIDIA Jetson (Orin NX, AGX, Nano) using YOLO, DeepStream, and GStreamer. These aren’t just prototypes. They’re edge-native, low-latency AI pipelines that run reliably in the real world detecting, classifying, and responding in milliseconds with zero cloud dependency. Whether you need high-throughput object detection, real-time hardware control, or multi-camera CV streaming, I deliver full-stack embedded solutions designed for performance, durability, and deployment at scale. 🏗️ What I Build 🔹 YOLO detection pipelines on Jetson (Orin NX, AGX) 🔹 DeepStream + TensorRT inference pipelines 🔹 Modbus/PLC integration for sorting & inspection 🔹 GStreamer-based multi-camera streaming systems 🔹 Jetson performance tuning (batching, memory, latency) 🔹 Qt/FFmpeg interfaces for human-in-the-loop interaction 🛠️ Tech Stack Breakdown Detection & Inference: YOLO · OpenCV · DeepStream · TensorRT Devices: Jetson Orin NX · AGX Orin · Jetson Nano Control Systems: Modbus RTU · GPIO · UART · PLCs Streaming & UI: GStreamer · FFmpeg · Qt · VLC Model Training: PyTorch · Custom/self-supervised classifiers Backend & Interface: Python · C++ · SQLite · MQTT · Flask/FastAPI ✅ What You Get Sub-100ms real-time inference performance Industrial-grade integration (Modbus, GPIO, PLC) Modular, scalable pipelines with documentation Edge-native AI systems engineered for long-term uptime 📬 Let’s Build Your Edge Intelligence If you’re building an AI-powered inspection tool, robotics system, or embedded computer vision product I’ll help you ship it with confidence and optimize it for the field. 📩 Reach out and let’s turn your camera feed into real-world action.

I am a Ph.D. scholar specializing in Machine Learning and Deep Learning with expertise in model design, optimization, and mathematical modeling. My research spans computational neuroscience, cognitive neuroscience, computational psychology, and cheminformatics, with publications in high-impact journals where I also serve as a reviewer (IEEE Transactions, Nature, PLOS One). In addition to academic contributions, I have developed production-ready AI solutions for clients, some of which directly supported their successful funding. I bring together strong research expertise and practical problem-solving to deliver impactful results.

Hello! I'm Kazi Sohan, an analytical and skilled software engineer with over five years of professional experience. I hold a Master's degree in Information Technology from Jahangirnagar University. My career is marked by positions that have leveraged my C++, Python, and Java expertise to develop advanced AI, machine learning, and automated trading systems. My ability to innovate and deliver effective solutions has been proven through my contributions to complex projects, enhancing system performance and end-user experience. Skills: ⚫ Programming Languages: Proficient in C++, Python, Java ⚫ Expert in Algorithms and Data Structures ⚫ Specializations: Desktop Applications, Microservices, AI, Machine Learning, Computer Vision, Image Processing ⚫ Tools and Platforms: MT5, MT4, Redis, Kafka, WebSocket, REST APIs, Keras, Tensorflow, Pytorch, Numpy, Pandas ⚫ Problem Solving: Strong analytical skills with a proven track record in competitive programming ⚫ and algorithm optimization ⚫ Project Management: Experienced in leading development phases, ensuring timely delivery Professional Experience: Anyconnect: Spearheaded the development and enhancement of computer vision features, integrating AI capabilities into consumer-grade camera products, improving product performance and customer satisfaction. Next Ventures: Led the backend development for integration solutions between financial trading platforms and TradingView software, significantly enhancing data throughput and system responsiveness. Achievements: We are consistently ranked in the top tiers of national and international programming contests. Recognized for advanced problem-solving skills across various coding platforms, including Codeforces, CodeChef, and HackerRank. Publications: ⚫ Innovative methods in 3D reconstruction from 2D images using machine learning. ⚫ Improved product review classification through advanced algorithms. ⚫ Efficient real-time image classification with neural networks.

⚡ Stop wrestling with demo AI that breaks on real user traffic. I build production-grade AI Agents, advanced RAG, and custom tools. Top Rated Plus | Top 10 Machine Learning Agency on Upwork | $500K+ Earned | 8+ Years in AI & Software Engineering I'm an AI Engineer building production-grade AI agent and RAG systems, not simple prompt wrappers. With 8+ years in software engineering and AI development and $500K+ earned on Upwork, I hold Top Rated Plus status and our team is ranked among the Top 10 Machine Learning agencies on the platform. I work with companies that need an AI system to actually run in production, handle real user traffic, and stay accurate, not a demo that breaks on the first edge case. As an AI Engineer, my core work covers retrieval-augmented generation pipelines, agentic workflows with tool calling and structured outputs, prompt engineering, and LLM integration with OpenAI, Anthropic, and Gemini APIs. This is the kind of system clients need an AI Engineer for: not a chatbot that answers FAQs, but an agent that retrieves the right information, calls the right tools, and follows through on what the user actually needs, with hallucination reduction and evaluation built in from the start. As a Machine Learning Engineer and Data Scientist, I build systems for structured and time-series data: demand forecasting, anomaly detection, biomedical signal analysis, and structural health monitoring. My data scientist workflow covers Python, scikit-learn, pandas, NumPy, and SciPy alongside deep learning frameworks including TensorFlow, PyTorch, and Keras, with experiment tracking and evaluation metrics to ensure models perform consistently in production. When a project needs predictive or classification models alongside the AI agent itself, I own that layer too as a Machine Learning Engineer. As a Computer Vision Engineer and software engineer, I build object detection, multi-object tracking, pose estimation, and image segmentation systems using OpenCV, YOLO, and deep learning architectures. Where this intersects with the AI Engineer work is in multimodal systems and computer vision agents: I work with Vision Language Models (VLMs) to build AI pipelines that understand images and video, not just text. Most AI Engineers only work with text. I bring production computer vision and deep learning experience on top of the LLM layer, which matters for any product where the AI needs to see, not just read. On the engineering side, I work as a Python developer and software engineer building backend services with FastAPI, vector databases including Pinecone and pgvector, and LangChain or custom orchestration for multi-step agent logic. When a project needs full ownership of both the AI layer and the surrounding application, I work as a Full Stack AI Developer, handling backend APIs, database design, and frontend integration so the AI system ships as a complete product, not just a backend script. I work with a specialized team that includes a computer vision PhD, deep learning researchers, and mathematical optimization specialists. This lets me scope larger systems, split orchestration, retrieval, and evaluation work across the team, and deliver a full AI Engineer and Machine Learning Engineer engagement faster than a solo contributor could, with the software engineering discipline of clean APIs, logging, and testing baked in from day one. Clients typically work with me when they need: - an AI Engineer to build a RAG pipeline, AI agent, or chatbot that actually works in production - a Machine Learning Engineer or Data Scientist to build predictive models or structured data pipelines - a Computer Vision Engineer to add visual understanding or VLM-based reasoning to an AI product - a Software Engineer who understands LLM orchestration, tool calling, vector search, and backend architecture - a Python developer who can own the full stack from model training to deployed API If you need an AI Engineer and a software engineer with the full stack from prompt design to production deployment, let's talk. Main stack: Python, OpenAI API, Anthropic Claude, Gemini, LangChain, LangGraph, LlamaIndex, FastAPI, Pinecone, pgvector, TensorFlow, PyTorch, Keras, OpenCV, YOLO, Docker, PostgreSQL, JavaScript, Git.

-Stop hiring people who barely code and cost you money. Hire me for a week and judge by the results- Looking for a trading bot built to scale, optimized, and written with solid engineering practices? That’s what I do. Need an AI agent, chatbot, or custom assistant tailored to your workflow? I build those too. I work fast, clean, and I take this seriously. No bloated code, no guessing.