𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝: 𝐓𝐨𝐩 𝟏% 𝐨𝐧 𝐔𝐩𝐰𝐨𝐫𝐤 🥇 Senior Agentic AI Developer with 6+ Years of Experience | Shipped 50+ Role-Critical AI Agent + RAG Chatbots | Conversational AI | Senior AI First Full Stack Developer with Python(FastAPI + React) | Principal AI/ML | GenAI, LLM, Fine-tuning, Cloud(Azure, AWS, GCP) | I'm Samran Elahi, a Senior AI / Machine Learning Engineer who has worked extensively with NLP and Agentic AI. I'm equally skilled in automating custom workflows, developing LLMs, building RAG Powered Chatbots, and designing Machine Learning Models along with fine-tuning and Deploying them on AWS / Azure / GCP, or Runpod. ✅ 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐓𝐚𝐛𝐥𝐞 — 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐰𝐢𝐭𝐡 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 ■ Natural Language Processing Expertise ✓ Chatbots and Conversational AI Development ■ AI Agents + RAG Chatbots Development Expertise ✓ Custom AI Agents built with LangChain / LangGraph. ✓ Role-critical MCP Agents for complex task handling. ✓ RAG-powered Chatbots with integrated LLMs (OpenAI, Claude, Mistral.) ✓ Frontend: React, Streamlit, Chainlit | Backend: FastAPI, Django. ✓ Vector DBs: Pinecone, FAISS, Weaviate. ■ Conversational AI with Real-Time Communication Capabilities ✓ Tools: ElevenLabs, Voice.ai, Retell.ai, Vapi integrations. ✓ Real-time API integration for seamless voice interactions. ■ Custom ML Model Development, Integration, and Deployment ✓ Supervised Learning: Regression, Classification. ✓ Unsupervised Learning: Clustering, Dimensionality Reduction, Anomaly Detection. ✓ Hyperparameter Tuning: GridSearch, RandomSearch, Bayesian Optimisation. ✓ Parameter-Efficient Fine-Tuning (PEFT). ✓ Model Deployment: Runpod, AWS, GCP, EC2. ✓ Model & Data Versioning: DVC. ✓ REST API Development: FastAPI, Flask, Django. 📢 Available, let's have a quick chat to go over the scope of your project. Best, Samran Elahi

✅ Skilled Machine Learning Engineer with experience in applying AI to behavioral science, vision analysics, , agriculture, and computer vision, including the latest generative AI solutions. Focused on improving tools to maximize productivity, reduce latency, and adapt to business needs, with expertise in full Mlops implementation. If you are looking for guidance or complete project under the below domains. ➡️ Generative AI for your purpose: Can enhance, search do literatures review for better generative model for your use whether from text/video/audio or multimodal domains. ✅ Experiment different models from hugging face with better prompt engineering techniques and benchmark them ✅ Finetune using Lora, Qlora, and other complex architectures for resolving your problem on custom dataset ✅ For image generation finetune Stable diffusion using Dreambooth for better understanding. Comfy UI and replicate for easier flow of image generation pipeline ➡️ LLM: Deepseek, gpt, claude, llama, including pretraining, finetuning, prompt engineering, RAG approaches ➡️ Multimodal LLM: LLama 3.2, Multimodal RAG, LLAVA for vision task, Florence ➡️ Video Analysics: Merging of different deep learning and transformer based architecture for understanding of videos of sports, scenes, advertisements, action analysics etc ➡️ AI Agents: Agentic AI to solve the time taking work, CrewAI ➡️ AI workflow and Automations: No code automations tools like gumloop, make.com and N8N. Triggering specific events to provide you a new assistant. ➡️ Computer Vision: Text to image models, Object detection, and facial recognition etc. I am proficient in OpenCV, TensorFlow, PyTorch, and other. Amazon Rekognition. Transformer based (CLIP, SAM, YOLO World) ➡️ Natural Language Processing (NLP): Large Language models and transformers , AI chatbot, ChatGPT, BERT, SQUAD. Pretraining, Fine tuning, RAG based, prompt engineering ➡️ Data Science: I am proficient in data analysis, data visualization, and machine learning. I have experience in building predictive models, clustering algorithms, and recommender systems ➡️ AI Projects: Any AI, machine learning or deep learning project you have in mind Projects under the domain of Agri tech, finance, stocks exchange, business, manufacturing, transportation and health care. ❇️ Libraries tools: Pandas, Matplotlib, numpy, tensorflow, OpenCV, Langchain, NLTK, spacy, Pytorch, sklearn, FastAPI, mlflow, DVC, dagshub, Github CICD, Docker, langchain, hugging face, comfy UI, Replicate ❇️ Cloud deployment: Runpod, Heroku, Azure Devops AWS, Sagemaker, Azure , server less gpus architecture and more

🥇🎖️Upwork Expert-Vetted Data Scientist and Generative AI Engineer (Top 1%) |🎖️ Upwork Top Rated Plus Freelancer |🧑‍💻 7+ years of professional experience in Data Science and Machine Learning | 🎯 Completed long term projects for Capgemini and EveryRate and consulted for companies including JKI, CheckCare, and a handful of startups | AWS Community Builder in Machine Learning and GenAI In my 7+ years of career, I have worn many hats, including Data Scientist, Machine Learning Engineer, and Generative AI Engineer. My recent experiences: 1. Content recommendation: I have trained and deployed recommender systems to personalize users' experience mostly with Amazon Personalize and Vertex AI Applications (google discovery engine). 2. Experimentation: Worked on Causal Inference (RDD and Propensity Score Matching), A/B testing, Interleaving Recommendations Experiments, and Multi-armed Bandit experiments. 3. Built Generative AI applications, including RAG-based chatbots, Text2SQL, and Text-to-Speech applications. Fine-tuned and deployed open-source LLMs. 4. Document Processing with OCR, ETL, and RPA. 5. Time Series Analysis and Forecasting. Projects succeed when proper timelines, realistic scopes, and appropriate budgets are set early. Thus, I make it a point to understand the project thoroughly and ensure my client's expectations align with the timeline and budget. The time invested in this planning stage has always paid off. Let's connect today! Interested in a quick 30-minute or 1-hour consultation to discuss your project before starting a contract? Click on "Book a Consultation" below. During the session, I will share more detailed information about your intended project. We will also discuss the feasibility, cost, and tentative timeline. Relevant documents will also be shared after the meeting. DETAILED EXPERIENCES and SKILLS: Data Science | Machine Learning | Deep Learning Expertise: Text extraction and Processing (OCR): Google Document AI, Azure AI Document Intelligence, Amazon Textract. Data Engineering: Databricks, Apache Spark, SQL databases Regression - Univariate and Multivariate Time series analysis and forecasting: ARIMA, SARIMAX, VAR, VECM, LSTM, and Facebook Prophet. Classification: Logistic Regression, Decision Trees, Random Forest, Xgboost, Naive Bayes, SVM, Shallow, and Deep Neural Networks, and Ensemble of Models. Unsupervised Learning: K-means clustering (Scikit and FAISS), Topic Modeling (including NMF Frobenius norm and KL divergence, LDA, and LSA), Dimensionality reduction (including MDS, UMAP, PCA, t-SNE, LSTA, LDA, and Hessian, and Truncated SVD) Tools and Frameworks: Python (Numpy, Pandas, Scikit-Learn, Keras, PyTorch, Tensorflow, and BeautifulSoup) Data Visualization: D3.js, Python (Matplotlib, Seaborn, Plotly), and Tableau Platforms: Amazon Sagemaker, Google Cloud (Vertex AI), Azure ML Tools: Docker, Amazon Glue. Generative AI Expertise: I have built and integrated conversation AI applications into existing applications for businesses. Some of the specific cases include: 1. A generative AI application for a beauty brand that generates product images, captivating product descriptions, and beauty models before and after transformation on the landing page of the client's website. The generated content is automatically tailored to the customer's profile, especially demographics and purchase history. ⚙️Tools and services used: Google Cloud Platform, Vertex AI, Stable diffusion, PaLM-2 (text-bison) 2. An intelligent shopping assistant for a famous retail brand. The assistant leverages a combination of agents to achieve various tasks, including fetching inventory information from the knowledge graph (Neo4j on a Neptune Instance) based on a user query, responding to FAQs by leveraging context from the Kendra database, simultaneously extracting possible lead entities from the conversation and enriching the knowledge graph, driving the conversation towards making a sale. ⚙️Tools and services: Amazon Bedrock, Amazon Kendra, Amazon Neptune, AWS EC2, and Sagemaker. Others include a content generator bot for Atlassian confluence, LLM powered telegram bot, etc. NLP and GENERATIVE AI (Image Text, and Multimodal): Prompt Engineering for LLMs including both open and closed source: Mixtral, Open AI GPTs, Google PaLM-2, LLaMa, Claude, Amazon Titan, Claude, Stable diffusion, DALLE-3, and Imagen. Text Preprocessing and Sentiment Analysis, Intent Classification, Document Classification: NLP toolkit, BERT Topic Modeling and Text Classification Named Entity Recognition, Entity Extraction: Python Pydantic, Open AI function calling, and SpaCy, etc. Speech-to-Text, Text-to-Speech, and Machine Translation, Tools, Frameworks, and Techniques: LangChain, HuggingFace, Chain of thought (COT) Reasoning, and Retrieval Augmented Generation (RAG). Store and Knowledge base: 🛢️Vector Databases: Amazon Kendra, Chroma, and Pinecone; Knowledge graph: Amazon Neptune (Neo4j). Others:AWS+GCP+Azure

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!

Expert-Vetted (Upwork Top 1%) I help companies design, validate, and ship AI products fast with a strong focus on AI Agents, Generative AI, and production-ready ML systems. I’m an AI Developer, AI Engineer, and fractional CTO with 9+ years in Machine Learning and software architecture. My work focuses on building AI-powered products that move from idea to working MVP in 3-7 weeks using a structured delivery approach. As a co-founder of Softermii, a full-cycle AI and custom software development company, I lead teams that turn AI strategy into deployed systems - from data pipelines and LLM orchestration to scalable backend architecture and enterprise integrations. 🚀 Core Focus - AI Agent Consulting & Delivery I provide consulting and implementation for agentic AI systems that observe, reason, and act across business workflows. This includes: • AI Agents & Autonomous Workflows • LLM-powered Products and Copilots • RAG Systems and Knowledge AI • AI Orchestration Architectures • AI Integration into existing platforms • AI MVP validation and architecture design My approach combines strategy, architecture, and delivery - helping companies avoid costly overengineering and ship production-ready AI faster. 🧠 What I Deliver • AI Consulting and Technical Strategy • Agentic AI System Design • Generative AI Development • Machine Learning and Predictive Analytics • AI App Development and Automation • NLP, Computer Vision, and Data Science • Enterprise AI Integration and Modernization I work across Healthcare, FinTech, Logistics, Real Estate, and E-commerce, building systems that improve operations, reduce manual work, and unlock new revenue streams. 🏢 About Softermii Softermii is a full-cycle AI development company delivering enterprise AI systems with measurable business impact. We handle the full lifecycle - discovery, architecture, model development, integration, deployment, and optimization. Our work includes: • AI MVPs in 4–8 weeks using structured delivery methodology • HIPAA / SOC2 / GDPR-ready solutions • AI integration with ERP, CRM, and legacy systems • Dedicated AI teams and fractional CTO leadership ⚙️ Technologies Python, TensorFlow, PyTorch, LangChain, LLM APIs (OpenAI, Claude, Gemini), AWS SageMaker, Vertex AI, Docker, Kubernetes, MLOps pipelines, vector databases, real-time AI systems. If you’re looking for a partner who can design the right AI solution and actually ship it, let’s talk.

If you shoot me an invitation or message I'll do a complete AUDIT on how we can implement best practices to make things Perfect !! Being top 1% Freelancer, If you trust me to built something, I'll build it so it works for you 24/7. That's my promise. - Former 𝗠𝗟 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 at 𝗖𝗮𝗽𝗶𝘁𝗮𝗹 𝗼𝗻𝗲 | Agentic AI Lead | LLM Architectures | LangGraph | Claude - Top Rated Plus | 300k earning with 100% JSS. - Clear scope, honest expectations, and reliable delivery from start to finish. - Built 𝟰𝟬+ agentic systems in 2025 & helped founders turn ideas into VC-funded startups. 𝗟𝗶𝘁𝘁𝗹𝗲 𝗯𝗶𝘁 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗺𝗲: I have 𝟭𝟬+ 𝘆𝗲𝗮𝗿𝘀 of experience designing, building, and delivering software solutions across automation, AI-powered workflows, agent-based systems, intelligent search, and business process optimization, using tools and platforms such as Claude, GPT-5, OpenAI APIs, n8n, LangChain, LlamaIndex, vector databases, cloud platforms, APIs, data pipelines, Voice AI Agents and machine learning-driven applications. I have worked with companies such as 𝗖𝗼𝗰𝗮-𝗖𝗼𝗹𝗮, 𝗞𝗲𝗮𝗽, 𝗗𝗘 𝗦𝗵𝗮𝘄 𝗚𝗿𝗼𝘂𝗽, 𝗠𝘂𝗻𝗶𝗰𝗵 𝗥𝗲, 𝗧𝗿𝗶𝗽𝗹𝗲 𝗪𝗵𝗮𝗹𝗲, and more, helping teams build Production-Grade LLM Systems, scalable AI automation tools, workflow automations, RAG/search systems, integrations, and agentic solutions that streamline operations, improve decision-making agents, reduce manual effort, and deliver measurable business value. 📌 I help organizations automate processes and rapidly build Agents & MVPs to scale. My primary focus is companies that are either really large or really small (pre series A startups, sub 30 employee service companies). ✅ Proven track record of delivering 𝟮𝟱𝟬+ AI, automation, and software projects for businesses ✅ 10+ years of experience building AI-powered workflows, agentic AI, Voice Agents Automations. ✅ Built 40+ agentic systems in 2025, helping clients automate workflows and scale operations ✅ Skilled in Python, C++, n8n, Claude, GPT/OpenAI, RAG, Search, APIs, and data pipelines ✅ Strong YouTube presence through “𝗥𝘆𝗮𝗻 & 𝗠𝗮𝘁𝘁 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲,” with 𝟰𝟯𝗞+ 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲𝗿𝘀. ✅ View Case Studies of real AI automation, Agents and LLM's projects on my website, 𝗪𝗶𝗱𝘁𝗵.𝗮𝗶. ✅ Scalable AI automation that reduces manual work, improves efficiency, and drives ROI. If you are looking for a 𝗧𝗼𝗽-𝗿𝗮𝘁𝗲𝗱 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹, who is in the list of 𝗧𝗼𝗽 1% of Upwork profiles and fast and efficient delivery, then I'm your man. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿: n8n | Python | C++ | Replit | Claude | GPT-5 | OpenAI API | ChatGPT | Gemini | Perplexity | LangChain | LlamaIndex | MCP | RAG | AI Agents | Agentic Workflows | Workflow Automation | Business Process Automation | Voice Agents | Intelligent Search | Vector Databases | APIs | Data Pipelines | Streamlit | Azure AI Document Intelligence | Machine Learning | NLP | Computer Vision | Prompt Engineering | ReAct | AI Evaluation | Cloud Platforms | Dashboards | MVP Development | AI MVP | SaaS MVP | Startup MVP | Rapid Prototyping | Idea to MVP | Product Development | MVP Launch | Founder Support | VC-Ready MVP | Product Data Enrichment | SKU Onboarding | Catalog Optimization | LLM Orchestration | Multi-Tenant Systems 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗜’𝗺 𝗣𝗿𝗼𝘂𝗱 𝗢𝗳: 🏆 2 startups in the medical record processing space have taken my document processing work and raised 𝟳 𝗳𝗶𝗴𝘂𝗿𝗲 𝗿𝗼𝘂𝗻𝗱𝘀. 🏆Completed a complex langgraph implementation for a 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟰𝟬𝟬 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 where the work is used by massive brands like 𝗞𝗲𝗻𝘃𝘂𝗲 and 𝗚𝗲𝗻𝗲𝗿𝗮𝗹 𝗠𝗶𝗹𝗹𝘀. It focused on building a system that can optimize product data pages on Amazon based on data around competitors, Production-Grade LLM Systems, historical page data, ranking data, automated seo research, and image optimization algorithms. I focused on 14 react nodes in the structure: generate, LLM as a judge validation, deterministic validation loop for different parts of the workflow. 📌Very focused on document processing systems and building custom SOTA architectures. Let's connect and take your ideas to next level. Matt

Expert-Vetted (Top 1% of Upwork talent)🏆🏆🏆 🎓 NLP, ML, LLM and AI expert 💬 custom Chatbots using OpenAI/ AWS bedrock, langchain, vector databases. LLMs like chatgpt, GPT4, Claude3.5, Llama and Falcon 🚀 AI Agents development using frameworks like LangGraph, Autogen or CrewAI 📊 Sentiment Analysis, Text Classification, text generation, text summarization, Topic modelling, and Data Clustering 🚀 Certified AWS Architect skilled in designing and developing AI pipelines using AWS Bedrock and SageMaker, lambda, RDS specializing in NLP, ML, LLM, and AI technologies. 💬 Finetuning open-source LLMs on custom data 🤖 Low code/No code AI automations using tools like Make.com and Zapier 🖼️ Custom image generation using stable diffusion models 🎥 Object Detection, Motion Tracking, Scene Recognition, and Anomaly Detection. 🎯 Recommendation Engines Expert: Specialized in designing and implementing recommendation systems using AWS Personalize, Google Cloud Recommendations AI, and custom solutions built from scratch. Unlike many pseudo-AI experts who simply know how to call OpenAI or Anthropic APIs, I bring 𝟗 𝐲𝐞𝐚𝐫𝐬 of deep, hands-on experience in the AI field, mastering everything from traditional ML to advanced Generative AI. I understand the ins and outs of building real AI solutions that go far beyond basic API integrations. 🤖 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐋𝐚𝐫𝐠𝐞 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥𝐬 (𝐋𝐋𝐌) 𝐚𝐧𝐝 𝐀𝐈: ➜ Fine Tuning: Specialized in finetuning LLMs like llama, openai models, qwen2.5, mistral for domain adaptation, style adaptation, persona writing, QnA, medical, legal, and more. ➜ LLM Synthetic Dataset Generation for finetuning ➜ LLM Evaluation Framework ➜ LLM Deployment: On Cloud platforms like AWS DLC, Lambda, and more. ➜ AI Agents / Voice Bots: Proficient with CrewAI/AutoGen, Amazon Polly, Deepgram, OpenAI swarm. ➜ AI Automation using make and zapier ➜ custom LLM Deployment: On AWS/GCP/RunPod using SkyPilot, vLLM/TGI frameworks 🛠️ 𝐓𝐨𝐨𝐥𝐬/𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: ➜ Langchain, LangServe, LangSmith, llamandex, Heystack, HuggingFace, Transformers ➜ VectorDB: Chromadb, FAISS, PineCone, Qdrant, opensearch, Azure Cosmosdb, Milvus ➜ Flowise AI, LangFlow, StackAI ➜ GCP Vertex AI, Google Colab, AWS Sagemaker, Azure ML studio, Runpod, Vast AI 🐍 Python Frameworks: ➜ Low-Code UI Tools: Streamlit, Gradio, Panel API Frameworks: FastAPI, Flask, Django, Pydantic Machine Learning / Deep Learning Frameworks:PyTorch, TensorFlow, Keras, HuggingFace Transformers ➜Data Wrangling / Processing:Pandas, NumPy, Dask, Polars, Scikit-learn ➜Model Serving and Deployment: Triton Inference Server, TorchServe, ONNX Runtime, MLflow, BentoML 🗄️ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: ➜ SQL: MySQL, PostgreSQL, SQLite, Azure SQL ➜ NoSQL: MongoDB, DynamoDB, Firebase, Redis ➜ GraphDB: Neo4j, Amazon Neptune 💻 𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝 𝐓𝐞𝐜𝐡: ➜ React, Angular, Next.js, Vue.js, Tailwind CSS, Bootstrap I am lead AI/ML engineer with more than 9 years of experience traditional ML, deep learning, advanced NLP, generative AI LLMs like chatgpt, GPT4, Llama, Falcon and Mistral, Mixtral, Qwen. Strong experience in executing custom AI and NLP solutions and integrating them in business workflows, along with advanced skills in object detection, motion tracking, scene recognition, and anomaly detection. If you're working with any sort of data for your project, I'm here to help! Whether you have raw and unprocessed data that needs cleaning, or you need help scraping and annotating new data, I've got you covered. As an AI professional with a specialization in AI, NLP, LLMs, I've worked with various models, including GPT3, Chatgpt/GPT4, llama3, Qwen, and GPT-J, and have experience in applying state-of-the-art NLP techniques to projects. If you need help training a deep learning model, I can help you experiment with cutting-edge models such as T5, Bert, M2M, FLAN-T5 and RoBerta to achieve the best possible performance. I can train/Fine tune open source LLMs like Llama, mpt7b, Falcon using efficient techniques like QLora. I'm well-versed in working with transformer-based models and can help you fine-tune and transfer learning to get the most out of your data. If you have text data I can help with text classification, natural language understanding, and natural language generation. If you're looking for a chatbot or conversational AI solution, I can help you develop a solution using Chatgpt, langchain and vector databases like pinecone. In addition to NLP, I'm experienced in working with sequential data, time series forecasting, and PyTorch code debugging. I have successfully completed over 60 jobs on Upwork, logging more than 4000 hours of work while consistently achieving client satisfaction. If you're looking for an AI professional who can help with anything remotely related to LLMs or AI Agents, any other NLP/ML task don't hesitate to reach out to me. I'll be more than happy to assist you in achieving success with your project.

𝗜'𝗺 𝗦𝗮𝗺𝗶𝗻𝗮, a seasoned Full Stack Developer with over 12 years of experience working with both startups and large organizations, specializing in building scalable, high-performance web applications and APIs. My expertise spans Python, Node.js, React, AWS, and a variety of other technologies. I focus on delivering solutions that help businesses improve their operations, enhance efficiency, and achieve measurable results. Whether you're a startup looking to bring an idea to life or a larger organization needing robust, enterprise-level solutions, I ensure that every project I work on is built with clean, reliable code that aligns with your business goals. 𝑾𝒉𝒂𝒕 𝑰 𝑪𝒂𝒏 𝑫𝒐 𝑭𝒐𝒓 𝒀𝒐𝒖: 🔹 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗪𝗲𝗯 𝗔𝗽𝗽𝘀 & 𝗔𝗣𝗜𝘀: From building sleek, responsive web apps to designing powerful, efficient APIs, I ensure that your technology solutions are built to grow alongside your business. 🔹 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 & 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: I specialize in implementing AI agents, machine learning, and automation to help businesses reduce operational costs, automate repetitive tasks, and boost efficiency. 🔹 𝗠𝗩𝗣 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: Whether you're launching a new product or testing a new idea, I can help you deliver a robust MVP quickly and efficiently, reducing time-to-market while ensuring a high-quality user experience. 🔹 𝗖𝘂𝘀𝘁𝗼𝗺 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀: I work closely with you to develop tailored systems that meet your exact needs, whether it’s a custom chatbot for customer support, AI-powered analytics, or an automation platform that drives productivity. 𝑺𝒖𝒄𝒄𝒆𝒔𝒔 𝑺𝒕𝒐𝒓𝒊𝒆𝒔: 🔹 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲: Developed an AI Notetaker that helped doctors save 6 hours per week by automating patient follow-ups, improving communication, and enhancing patient satisfaction by 40%. 🔹 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻: Automated purchase order processing, cutting manual entry time by 85% and reducing order errors by 92%, allowing businesses to process more orders with fewer resources. 🔹 𝗠𝗲𝗻𝘁𝗮𝗹 𝗛𝗲𝗮𝗹𝘁𝗵: Built an AI Therapy Assistant that scaled therapist support by 10x, resulting in shorter wait times and better outcomes for clients. 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 𝑰 𝑼𝒔𝒆: 🔸 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React.js, Next.js, Tailwind CSS 🔸 𝗕𝗮𝗰𝗸𝗲𝗻𝗱: Django, Flask, Node.js, Express 🔸 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: MongoDB, PostgreSQL, MySQL 🔸 𝗖𝗹𝗼𝘂𝗱: AWS (EC2, Lambda, S3, API Gateway), CI/CD pipelines 🔸 𝗔𝗜/𝗠𝗟: LangChain, AI agents, deep learning, machine learning 🔸 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: RAG Pipelines, Multi-Agent Frameworks, Docker, Kubernetes 🔸 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 & 𝗔𝗣𝗜𝘀: CRMs (HubSpot, Salesforce), ERPs, Firebase, Slack, MS Teams, Zapier, Stripe, PayPal, REST & GraphQL APIs 𝑾𝒉𝒚 𝑾𝒐𝒓𝒌 𝑾𝒊𝒕𝒉 𝑴𝒆: 🚀 𝗖𝗹𝗲𝗮𝗻, 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲𝗱 𝗖𝗼𝗱𝗲: I write scalable, reliable, and maintainable code that grows with your business needs. ☁️ 𝗦𝗲𝗮𝗺𝗹𝗲𝘀𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀: My experience in cloud infrastructure ensures smooth and efficient deployments, using AWS and modern CI/CD practices. ⚡ 𝗙𝗮𝘀𝘁 & 𝗖𝗹𝗲𝗮𝗿 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: You’ll hear from me within 30 minutes, and I ensure every milestone, deliverable, and cost is transparent, with no scope creep or hidden charges. 💡𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗢𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽: From ideation to deployment, I take full responsibility for your project, ensuring that it’s delivered on time and within budget. 🔑𝗣𝗿𝗼𝘃𝗲𝗻 𝗧𝗿𝗮𝗰𝗸 𝗥𝗲𝗰𝗼𝗿𝗱: I’m a top-rated freelancer on Upwork with a perfect 5-star rating, a history of exceeding client expectations, and an impressive 93% on-time, on-budget completion rate. 𝑳𝒆𝒕’𝒔 𝒘𝒐𝒓𝒌 𝒕𝒐𝒈𝒆𝒕𝒉𝒆𝒓 𝒕𝒐 𝒃𝒓𝒊𝒏𝒈 𝒚𝒐𝒖𝒓 𝒏𝒆𝒙𝒕 𝒘𝒆𝒃 𝒂𝒑𝒑, 𝑨𝑰 𝒔𝒚𝒔𝒕𝒆𝒎, 𝒐𝒓 𝒂𝒖𝒕𝒐𝒎𝒂𝒕𝒊𝒐𝒏 𝒔𝒐𝒍𝒖𝒕𝒊𝒐𝒏 𝒕𝒐 𝒍𝒊𝒇𝒆. 𝑪𝒍𝒊𝒄𝒌 𝒕𝒉𝒆 "𝑴𝒆𝒔𝒔𝒂𝒈𝒆" 𝒃𝒖𝒕𝒕𝒐𝒏, 𝒂𝒏𝒅 𝑰’𝒍𝒍 𝒓𝒆𝒔𝒑𝒐𝒏𝒅 𝒘𝒊𝒕𝒉𝒊𝒏 30 𝒎𝒊𝒏𝒖𝒕𝒆𝒔 𝒊𝒇 𝑰’𝒎 𝒂𝒘𝒂𝒌𝒆.

Most voice AI demos break on the first real call. Mine don't. As an experienced AI developer and AI Engineer, I build systems that handle 50+ calls/night at $0.10 each — where customers genuinely can't tell it's not a person. 📩 Send your project brief - I'll reply within 2 hours with a concrete action plan. 🏆 Why work with me? 🥇 Technical Reviewer for Manning Publications (Efficient AI in Practice & Enterprise RAG). 🥇 Winner of the Enterprise RAG Challenge. 🥇 Top-Rated AI Developer on Upwork with a focus on ROI. 🥇 Expert LLM Engineer specialising in hallucination-free RAG systems. Core Specialisations ❇️ AI Voice & Chatbot Development As a specialised AI developer, I build full voice pipelines: Deepgram/Whisper → GPT-4/Claude → ElevenLabs. Expert in chatbot development and conversational business logic for WhatsApp, Telegram, and Web. I work as a dedicated chatbot developer integrating systems with ManyChat, Botpress, and OpenAI API. Modern chatbot development setups to act as a 24/7 sales engine and support lead. ❇️ AI Agent Architecture & Autonomous Workflows I am an AI developer who excels in AI Agent architecture using LangGraph and CrewAI. Multi-AI Agent systems for lead generation, deal tracking, and complex CRM automation. Autonomous AI Agent workflows connected to Slack, Shopify, and enterprise backends. Every AI Agent I build is designed to scale and optimise business processes without increasing headcount. ⚙️ LLM Engineering & Advanced RAG As a senior LLM Engineer, I solve the "hallucination problem" for modern enterprises. Advanced LLM pipelines designed with a focus on Vector Databases (Pinecone, Weaviate, Milvus). Custom fine-tuning, prompt engineering, and production-ready LLM infrastructure. 🛠️ FULL-STACK TECH STACK & DATA SCIENCE As an AI Developer: Python, FastAPI, Docker, AWS, Asyncio. As a Python Developer: LangChain, LlamaIndex, LangGraph, PyTorch. As a Web Developer: Frontend frameworks, responsive platforms, and API integration. As a Data Scientist: Advanced data processing, analytics pipelines, and model evaluation. ❇️ WHAT YOU GET WITH EVERY PROJECT When you hire me as your AI developer, you get production-ready, scalable, and cleanly documented code. As a professional Python Developer, I ensure your system is robust, while my background as a data scientist guarantees that your data is processed with maximum analytical precision. Whether it's complex chatbot development for support or an AI Agent workflow for outbound sales, I handle the full CI/CD deployment on AWS. As a skilled web developer and agentic ai developer, I ensure your user interfaces are as smooth as the underlying AI models. By combining the precision of a data analyst with the agility of a Python full stack developer, I create applications that are data-driven. Every Python full stack developer setup I deploy is fully integrated with analytical tools, meaning a data analyst or data scientist on your team can easily track performance. 🌐 EXPERTISE ACROSS THE spectrum Whether you need a high-performance chatbot developer to automate customer service or a senior LLM expert to architect complex RAG systems, I deliver code that scales: For Enterprises: I act as a Lead Python Developer, agentic AI developer, and machine learning consultant, building AI agent automation workflows. My skills as a data scientist extract valuable insights from your historical enterprise data via AI agent RAG pipelines. For Startups: As a python full stack developer and AI agent builder, I focus on rapid deployment of AI sales agent and AI voice chatbot solutions. I leverage modern frontend and backend practices as a capable web developer building AI agent SaaS products. For Deep Tech & Analytics: My work as a data scientist and machine learning specialist ensures your systems are backed by solid statistics. From predictive modelling as a data analyst to building generative AI agent and AI voice assistant systems, I cover all your data needs. From simple Python Developer scripting to AI agent creation, my goal is Enterprise AI solutions with clear ROI. If you need a Senior Python Developer and AI agent expert who understands business logic and architecture, let's connect. As a web developer and chatbot developer, I build digital ecosystems including WhatsApp AI chatbot and AI phone agent systems. My machine learning pipelines and python full stack developer practices ensure your software is future-proof. This blend of python full stack developer and AI agent N8N skillset makes me the ideal partner, combining a data analyst, machine learning engineer, and AI call agent creator. 👉 Send me your project brief — I’ll get back to you within 2 hours with a free AI visibility audit. Last update: 01.07.2026

Highly skilled and motivated freelance Machine Learning Engineer with over 3 years of experience in the field. Proficient in building and deploying state-of-the-art machine learning models using TensorFlow and PyTorch. Strong background in deep learning and NLP, with expertise in data preprocessing, feature engineering, model selection, and hyperparameter tuning. Experienced in deploying models on serverless architectures and cloud platforms, as well as edge devices using TensorFlow Lite.