I build AI systems that turn data into decisions fast. Whether you’re trying to match the right candidate to the right job, detect products in real time, or launch a custom GPT-style assistant, I’ll help you go from concept to deployment with clean, reliable, production-ready AI. As a seasoned AI/ML engineer and consultant, I specialize in delivering full-stack machine learning solutions across NLP, LLMs, computer vision, time series forecasting, and anomaly detection - all optimized for real-world speed, scale, and security. I work with startups, founders, and enterprise teams to integrate AI deeply into their workflows, transforming raw data into value, and automation into advantage. 🔹 Core Capabilities • Vertex AI & MLOps Excellence Scalable training, tuning, deployment, and monitoring pipelines using Vertex AI, AutoML, and GCP-native tooling. Seamless integration with BigQuery, Cloud Functions, and artifact management via MLflow or Vertex AI Experiments. • Natural Language Processing (NLP) Building and fine-tuning powerful NLP systems: resume classifiers, document summarizers, sentiment engines, NER extractors, and custom GPT-like assistants using Transformers, Hugging Face, LangChain, and LLM fine-tuning frameworks (LoRA, QLoRA). • Computer Vision Developing high-performance visual systems for image classification, object detection (YOLOv5/v8), segmentation, and OCR using TensorFlow, PyTorch, and pre-trained vision transformers (e.g., SAM, CLIP). • Time Series Forecasting & Anomaly Detection Designing intelligent systems to predict, flag, and act on time-dependent patterns in finance, retail, supply chain, and operations using Prophet, ARIMA, LSTM, CNN-LSTM hybrids, and change-point detection algorithms. • Prompt Engineering & Generative AI Crafting strategic prompts and pipelines for GPT-4o, LLaMA 3, Claude, and open-source LLMs. Experienced in structured chaining, memory management, and tool-calling using LangChain, LangGraph, and LangServe. • Framework Mastery Fluent in TensorFlow, PyTorch, Scikit-learn, Hugging Face, OpenCV, FastAPI, Streamlit, and Docker. Whether building from scratch or scaling pre-trained models, I’m equipped to handle any task cleanly, efficiently, and with purpose. 🔹 Beyond the Code – Strategic Execution • I turn business goals into deployable AI systems, translating product vision, user needs, and messy data into models that work in the real world. • I collaborate across teams - bridging gaps between technical and non-technical stakeholders to ensure clarity from planning to post-deployment. • I prioritize performance, reliability, and scale, building systems that aren’t just accurate, but fast, maintainable, and cost-efficient. • I move with intent - scoping projects clearly, setting expectations early, communicating consistently, and delivering on time. • I think like a partner, not a contractor - solving the problem behind the problem, and always looking for the simplest, smartest path to ROI. If you’re looking for a high-caliber AI partner - someone who writes clean code and thinks like a product strategist, let’s connect. I’ll help you bring your AI vision to life, from concept to deployment.

𝑮𝒐𝒕 𝒂𝒏 𝒊𝒏𝒏𝒐𝒗𝒂𝒕𝒊𝒗𝒆 𝒃𝒖𝒔𝒊𝒏𝒆𝒔𝒔 𝒊𝒅𝒆𝒂? I can help you bring it to life by automating your processes with AI, building intelligent AI ChatBot agents, or seamlessly integrating advanced AI solutions into your platform! 𝐀𝐛𝐨𝐮𝐭 𝐌𝐞: I'm an AI expert specializing in 𝑴𝒂𝒄𝒉𝒊𝒏𝒆 𝑳𝒆𝒂𝒓𝒏𝒊𝒏𝒈, 𝑮𝒆𝒏𝒆𝒓𝒂𝒕𝒊𝒗𝒆 𝑨𝑰, 𝑪𝒉𝒂𝒕𝑮𝑷𝑻, 𝑫𝑨𝑳𝑳-𝑬, 𝒂𝒏𝒅 𝑴𝒊𝒅 𝑱𝒐𝒖𝒓𝒏𝒆𝒚. I deliver high-quality solutions tailored to your project's needs. My strong communication skills and collaborative approach ensure a best and efficient working experience. I have worked with more than 50+ clients in different continents and various niches such as Real Estate, E-commerce, and Health & Fitness, which helped them to boost their revenues by 30%-50%. 𝐇𝐞𝐫𝐞’𝐬 𝐚 𝐠𝐥𝐢𝐦𝐩𝐬𝐞 𝐨𝐟 𝐭𝐡𝐞 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 𝐈 𝐚𝐦 𝐛𝐞𝐭𝐭𝐞𝐫 𝐚𝐭: 🤖 𝐆𝐞𝐧 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 𝐚𝐧𝐝 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬: - Developing dedicated agents and multi-agent applications for the business needs - Developing agentic workflows to automate vendor management, customer support sales, etc 🤖 𝐋𝐋𝐌-𝐛𝐚𝐬𝐞𝐝 (𝐆𝐏𝐓-𝟒, 𝐏𝐚𝐥𝐦, 𝐋𝐥𝐚𝐦𝐚, 𝐆𝐞𝐦𝐢𝐧𝐢, 𝐀𝐳𝐮𝐫𝐞 𝐎𝐩𝐞𝐧 𝐀𝐈, 𝐌𝐈𝐬𝐭𝐫𝐚𝐥) 𝐓𝐞𝐱𝐭 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐩𝐩𝐬: - Generate domain-specific text-based content for client communication, website blogs, contract drafts, templated reports, etc. 📚 𝐑𝐞𝐭𝐫𝐢𝐞𝐯𝐚𝐥-𝐀𝐮𝐠𝐦𝐞𝐧𝐭𝐞𝐝 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: - Enhance the quality of the response using better text splitting, prompt engineering etc. - Preventing injection attacks and preserving privacy, etc. 🗂 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐀𝐧𝐬𝐰𝐞𝐫𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬: - Improve customer support productivity - Enhance product feedback understanding - Automate customer inquiries in the financial sector, reducing response time. - Create a knowledge base using scraping, vector database and building knowledge graphs 🎓 𝐄-𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐨𝐚𝐜𝐡𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: - Implement chatbots as personal trainers that provide accurate content references and explain learning material while citing sources, boosting engagement and retention rates. - Creating platforms for competitive exam preparation - Creating applications for mock tests, evaluation, personalised study plans, etc 🗨 𝐂𝐨𝐧𝐯𝐞𝐫𝐬𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐀𝐈 & 𝐂𝐡𝐚𝐭𝐛𝐨𝐭𝐬: - Slash customer support response time in financial services by 50%, translating to a 32% boost in customer satisfaction. - Implemented self-learning virtual assistants for legal practices, reducing support costs by 42%. 📈 𝐂𝐮𝐬𝐭𝐨𝐦 𝐌𝐨𝐝𝐞𝐥 𝐅𝐢𝐧𝐞𝐭𝐮𝐧𝐢𝐧𝐠 & 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: - Tailor AI models for business needs by fine-tuning and adaptive learning from user preferences. - Help deploying custom models 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 ✔️ Generative AI & LLMs Integration: ChatGPT, GPT-4, Stable Diffusion, DALL-E, Mid Journey ✔️ Natural Language Processing (NLP): Hugging Face, SpaCy, NLTK, Sentiment Analysis ✔️Machine Learning & Predictive Models: TensorFlow, PyTorch, Scikit-learn, XGBoost ✔️ AI-powered chatbot Development: ChatGPT API, Rasa, Dialogflow ✔️AI Deployment: AWS SageMaker, Azure ML, Google Cloud AI, Docker ✔️Data Analysis & Visualization: Pandas, Tableau, Power BI, Plotly ✔️Web Scraping for AI Training: Selenium, BeautifulSoup 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: ✔️ Consistently Top-Rated Seller on Upwork ✔️6+ Years of Expertise in Cutting-Edge Technologies ✔️ Commitment to Timely Delivery and Excellence ✔️ Exceptional Communication & Collaborative Approach ✔️ Tailored Solutions for Your Unique Needs Let’s Get Started! If you’re looking for an AI expert for your next-level projects, let’s get started. I’m here to help!

AI Agent & LLM Engineer | RAG, LangChain, LangGraph, Multi-Agent Systems I build production AI agents, RAG systems, and full-stack AI apps that hold up outside a demo. Most of my work is LangChain/LangGraph agents, retrieval pipelines that don't hallucinate, and shipping the whole thing on AWS with a real frontend attached. 100% Job Success, 5.0 rating, and I'm available now. What I actually build: Autonomous and multi-agent systems with LangGraph and CrewAI — tool use, function calling, and workflows that run unattended in production, not just in a notebook. RAG and chatbots on Pinecone, Chroma, Weaviate, or Qdrant. I do hybrid search, reranking, and guardrails because retrieval quality is usually where these projects live or die. LLM engineering: fine-tuning open models (Llama, Mistral, Mixtral) with LoRA/QLoRA, plus integrations with OpenAI, Claude, and Gemini. I care about evals and cost, not just getting a response back. Full-stack AI SaaS end to end — FastAPI or Django backend, Next.js/React frontend, Postgres or Mongo, Stripe, auth, deployed on AWS or Vercel. I also do AI automation (n8n, Make, custom Python), computer vision with YOLOv8, and real-time voice (speech-to-text and speech-to-speech) when a project needs it. Recent example: [e.g. "Built a RAG support assistant that cut a client's average response time from 6 minutes to under 40 seconds across ~2,000 tickets/month."] — replace with one real result; this single line does more than any tool list. Stack: Python, LangChain, LangGraph, CrewAI, PyTorch, TensorFlow, YOLOv8 · FastAPI, Django, Flask, Node.js · Next.js, React, TypeScript, Tailwind · Pinecone, Chroma, Weaviate, Qdrant, Postgres, MongoDB, Redis · AWS, GCP, Docker, Vercel, n8n. Why clients keep me around: I ship fast, I tell you what's realistic before you've paid, I test before I hand anything over, and I don't vanish after the invoice clears. If you're building an AI product, automating a workflow, or need a full-stack system that works in the real world, send me the brief. I'll tell you honestly what's possible and how long it'll take.

Expert-Vetted (Top 1%) | 100% Client Satisfaction | 100% Job Success I build software that requires rigorous mathematical depth, AI, ML and/or data analytics expertise, and production-ready deployment capability - the combination most teams need three or more separate specialists for. Every system I build goes to production. Deployed solutions running real operations across healthcare, legal, finance, maritime, industrial, and scientific applications. --- ## What Sets Me Apart - Rare Combination: PhD in AI & Systems Engineering + Chartered Mathematician (UK) + 15+ years shipping production systems. I build the ML, and deploy to production - as one person. - Domain Versatility: I've delivered production systems across radically different industries because my depth is in methodology, not a single vertical. Clients hire me when the problem is hard and needs to actually work. - Agentic AI Architect: I design and deploy multi-agent workflow systems that autonomously reason, plan, and execute complex tasks across enterprise domains. - Proven Track Record: 100% client satisfaction on Upwork. Every client has extended, returned, or referred. --- ## Why Clients Choose Me - "We need three people for this" → I'm one person who architects, builds, and deploys. - "Our data scientists can't ship" → Every system I build runs in production. - "This problem is too complex" → I've crossed healthcare, legal, maritime, and industrial domains. Novel problems are my specialty. --- ## Production Deployments (Selected) ### Healthcare & Medical AI - Surgical segmentation system for a US hospital :- ultrasound vein/artery detection deployed on Nvidia Jetson edge device, used in live surgery - FDA 510(k) submissions for AI-enhanced medical imaging :- multiple successful clearances at GE Healthcare - Clinical AI at NHS Barts Health Trust (Europe's largest cardiovascular centre) :- 50,000+ patient records, 88% diagnostic accuracy - Biomarker risk scoring platform :- 28 health dimensions from 118 blood biomarkers, end-to-end from ingestion to reporting ### Legal AI - Case analysis system providing lawyer-grade advice - RAG architecture with case law retrieval, deployed and serving clients in Canada - Document intelligence for contract analysis - 70% efficiency gains for law firm operations ### Maritime & Industrial - Ship fuel optimisation :- ML model identifying optimal ports based on fuel energy content, not just price - 6-hour-ahead location prediction :- real-time forecasting using weather and oceanographic parameters for Gulf of Mexico operations - Industrial process AI :- distillation plant optimisation, hot rolling mill control systems --- ## Technical Depth - AI/ML: PyTorch, TensorFlow, custom neural architectures, transformers, computer vision, NLP, time-series forecasting, optimisation algorithms - Production Systems: AWS/GCP cloud deployment, edge devices (Nvidia Jetson), real-time pipelines, microservices, Docker, Kubernetes - Healthcare Specific: DICOM, HL7 FHIR, EHR integration, biosignal processing, FDA regulatory submissions, HIPAA/PIPEDA/GDPR compliance - Agentic AI: Multi-agent systems, RAG architectures, LLM integration (Claude, GPT-4), Model Context Protocol - Mathematical Foundations: Signal processing, Bayesian statistics, causal inference, control theory - deriving solutions from first principles --- ## Credentials - PhD in AI & Systems Engineering - Chartered Mathematician (UK) - professional certification requiring rigorous examination - 20+ peer-reviewed publications in clinical AI and medical imaging - Multiple FDA 510(k) clearances - Systems deployed to 200+ hospitals --- ## Industries & Applications - Primary: Healthcare & Medical Devices (diagnostic AI, clinical decision support, medical imaging, FDA submissions) · Legal Tech (document intelligence, case analysis, contract AI) · Maritime & Logistics (route optimisation, fuel analytics, predictive systems) · Scientific Computing (biosignal processing, risk modelling, complex simulations) - Secondary: Financial Services (document extraction, risk modelling) · Industrial (process optimisation, predictive maintenance, safety systems) · Aerospace (systems engineering, reliability analysis) --- ## Engagement Model - Rate: $200–300/hour depending on complexity and engagement length - Availability: Selective - I take projects where my expertise genuinely matters - Working Style: Direct communication, clear milestones, results-focused collaboration. --- ## The Bottom Line If it requires AI, ML, data science expertise, and production deployment across a specialised domain - and it actually needs to work - that's exactly what I do. Let's discuss your challenge.

𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗙𝘂𝗹𝗹-𝗦𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 | 8+ 𝗬𝗲𝗮𝗿𝘀 | 𝟭% 𝗼𝗳 𝗨𝗽𝘄𝗼𝗿𝗸 | 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀. Working with LLMs for the past 8+ years and have good expertise in AI Agents development using langchain, LlamaIndex, and LLMs like Claude, GPT4o, Amazon Bedrock, Ollama Core Expertise & Technical Strengths 🦾 Early adopter of Prompt-Driven Development (PDD), designing AI systems where prompts become the primary specification and code acts as an implementation layer. 🦾 Deep experience working with leading LLM ecosystems including OpenAI GPT models, Claude Sonnet/Opus, Gemini, Mistral, Llama, Hugging Face, Together AI, Ollama, LM Studio, Groq, Cursor, Windsurf, Codex, and Claude Code. 🦾 Proven ability to bring AI solutions from concept to production using frameworks and tools such as DSPy, TextGrad, LangChain, LlamaIndex, LangSmith, LangServe, MemGPT, Kor, Zapier, and modern AI coding environments. 🦾 Strong optimization background with fine-tuning and model acceleration techniques using QLoRA, DeepSpeed, Unsloth, quantization methods, Transformer architectures, and distributed GPU infrastructure to improve performance while reducing costs. 🦾 Extensive experience building agentic systems with technologies including MCP, OpenAI Agents SDK, CrewAI, AutoGen, LangGraph, Google ADK, Open Interpreter, MultiOn, and computer-use frameworks. 🦾 Skilled in computer vision and generative media development using OpenCV, Stable Diffusion, Midjourney, Runway, Pika, and other image/video generation platforms. 🦾 Developed real-time voice applications with speech recognition and synthesis using Whisper, ElevenLabs, Twilio, Bland AI, and related conversational AI technologies. 🦾 Strong machine learning foundation with TensorFlow, PyTorch, Keras, scikit-learn, and development expertise in Python, JavaScript, C++, and Mojo. 🦾 Specialized knowledge in quantitative finance, algorithmic trading, cryptocurrencies, DeFi ecosystems, NFTs, Solidity, and forecasting technologies such as Prophet, TimeGPT, PatchTST, and AutoTS. 🦾 Full-stack engineering experience across React, Angular, Vue.js, Django, Flask, FastAPI, Node.js, and modern AI-assisted development platforms. 🦾 Cloud and infrastructure expertise spanning AWS, Google Cloud, Azure, and DigitalOcean. 🦾 Hands-on experience with MLOps workflows using MLflow, Weights & Biases, Neptune, BentoML, Docker, and scalable data systems including Pinecone, Weaviate, FAISS, Neo4j, MongoDB, PostgreSQL, MySQL, BigQuery, and SQL Server. 🦾 Experience supporting fundraising activities, investor outreach, pitch preparation, due diligence processes, and deal execution. 🦾 Product leadership capabilities covering the entire lifecycle—from ideation and strategy to launch, iteration, and retirement—while leveraging AI to streamline complex business operations. 🦾 Leadership experience in recruiting, team building, agile delivery, performance management, and coordinating large-scale teams across multiple functions. 🔹 Why Businesses Partner With Me → End-to-end ownership of projects, from system design and development through deployment and ongoing support. → Focus on production-ready solutions that are scalable, maintainable, and built for long-term growth rather than short-lived prototypes. → Transparent communication with regular progress updates, proper documentation, and predictable delivery. → Experience building enterprise-grade applications that meet strict performance, security, and compliance requirements. → Ability to scale execution through team leadership and collaboration, ensuring larger projects can be delivered efficiently. 🔹 Areas Where I Add Value → Designing and developing AI agents and advanced multi-agent ecosystems. → Building, fine-tuning, and deploying machine learning models for real-world applications. → Integrating OpenAI and other LLM APIs into existing or new products. → Creating and connecting RESTful APIs for seamless system communication. → Automating repetitive business processes and workflows using 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Thanks, Ashima Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face

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.

Hi, I’m Carlos --> Founder of Re:klaim- More Life, Less Email Im a results-driven Data Scientist and Machine Learning Engineer with an MIT ADSP Certification. I specialize in translating complex data problems into actionable business insights and scalable AI solutions. Key Strengths & Expertise - Machine Learning & Predictive Analytics: Expertise across ensemble modeling, alpha discovery, NLP, and real-time applications. - Data Visualization & Reporting: Skilled at building interactive dashboards (Tableau, R Shiny) and visually compelling reports that drive decision-making. - Scalable Solutions: Proficient in MLOps (model deployment, monitoring, and optimization) to ensure your solution remains robust under production conditions. - Client-Centered Approach: I tailor solutions to each client’s needs, working iteratively with feedback to maximize impact. Notable Achievements: Alpha Discovery & Risk Analysis - Developed high-risk, high-reward trading strategies using advanced ensemble techniques for financial markets (RiskMiner). - Achieved improved predictive accuracy and actionable insights for traders. Dropout Prediction Model - Built a school dropout prediction tool that provided district administrators with actionable insights to reduce dropout rates. - Delivered user-friendly dashboards and detailed reporting for long-term impact. Climate Analysis & Dashboards - Created R Shiny apps and Tableau dashboards for climate data and working capital optimization. Transformed raw data into interactive, visually stunning tools for stakeholders. Work Process - Discovery & Planning: In-depth requirement gathering, data exploration, and solution design. - Implementation & Iteration: Iterative model development, feedback loops, and refinements to ensure alignment with your business goals. - Deployment & Knowledge Transfer: Production-ready models, clear documentation, and (if requested) training sessions so you can confidently use and maintain your new solution. Why Work With Me? - Clear Communication: Regular updates, straightforward timelines, and transparent milestones. - Commitment to Excellence: Meticulous EDA, clean code, and result-driven solutions that don’t just work but excel. - Future-Focused: Always open to ongoing support, enhancements, and collaboration for long-term growth. High-Performance Environment: My local development setup includes an Apple MacBook Pro (M4 Max, 128 GB RAM, 40-core GPU, 16-core Neural Engine, 2 TB SSD). This powerhouse environment enables rapid model training, parallel processing, and seamless handling of large-scale datasets—without relying exclusively on external cloud infrastructure. That means faster iterations, quicker insights, and lower operational overhead for your project. Ready to turn your data into a competitive edge? Let’s connect to discuss your project needs and how we can build an impactful and valuable solution together.

✅ Available now | Committed to client success | Reliable ongoing support I am an AI/ML Full Stack Engineer with deep expertise in building intelligent, production ready solutions using advanced machine learning, deep learning, and large language models. My focus is on creating fast, scalable systems that seamlessly integrate into real world products whether that’s chatbots, AI assistants, or voice-enabled agents. ✅ Core AI and Machine Learning Regression, classification, clustering, CNNs, RNNs, and attention based models Frameworks: PyTorch, TensorFlow, Keras, Scikit learn, XGBoost MLOps: model training, fine tuning, optimization, CI/CD pipelines, Docker, Kubernetes ✅ Large Language Models and Generative AI Models: GPT-4, GPT-3.5, Claude, LLaMA, Mixtral, Falcon, T5, BERT Platforms: OpenAI, Hugging Face, Cohere, Replicate Expertise: conversational AI, RAG pipelines, embeddings, summarization, Q&A, intelligent AI agents with memory Modalities: text to text, speech to text (Whisper, Google Speech API), text to speech (ElevenLabs, Bark, Tortoise), text to image (Stable Diffusion, ControlNet) ✅ Conversational AI and Voice Solutions Custom chatbots and AI assistants with multi turn memory and persona design Voice enabled AI agents for transcription, call automation, and cloned voices Omnichannel bot integration with Slack, Discord, WhatsApp, Google Workspace, Twilio ✅ Computer Vision Applications Technologies: YOLOv5/v8, OpenCV, Detectron2, MediaPipe, Dlib Solutions: object detection, facial recognition, OCR, pose estimation, real time image analytics ✅ Full Stack Engineering Backend: FastAPI, Flask, Node.js Frontend: React, Next.js, Tailwind, Flutterflow Integration: REST APIs, webhooks, streaming endpoints, LangChain, Pinecone, ChromaDB ✅ Data Engineering and Analysis Tools: Pandas, NumPy, SQL, Dask, Apache Spark, Airflow Workflows: data cleaning, preprocessing, ETL pipelines, feature engineering ✅ Cloud and Deployment Platforms: AWS (S3, EC2, Lambda, SageMaker), Azure ML, GCP Vertex AI DevOps: Docker, Terraform, GitHub Actions, CI/CD, monitoring and logging ✅ Industry Use Cases -AI assistants and chatbots for customer support and lead generation -Voice and speech solutions, including transcription, interactive bots, and cloned voices -E-commerce AI: recommendation systems, visual search, inventory forecasting -Document intelligence: summarization, compliance automation, smart analyzers -AI copilots for email, documentation, and enterprise workflows -AI-driven web applications in FinTech, HealthTech, Real Estate, and more Let’s connect and bring your vision to life with tailored, high impact AI solutions.

I help startups and enterprises convert images and documents into production-ready AI features (OCR → structured data, image classification, medical imaging, and image captioning). I design, train, and deploy models end-to-end using PyTorch/TensorFlow, Hugging Face, OpenCV and FastAPI so you get reliable predictions and a maintainable backend. What I deliver: prototype → model → API → deployment. Typical outcomes: decrease manual labeling/processing by 60–90%, improve model accuracy from baseline to production standards, and ship an API for seamless integration. Tools & process: Data pipeline + augmentation → model selection & training (transfer learning / UNet / nnUNet / transformers) → experiment tracking (MLflow) → RESTful serving (FastAPI / Docker) → monitoring. Recent wins: Built an Image Caption Generator deployed via FastAPI; improved an existing CNN’s accuracy (client case) and contributed to a nnUNet medical imaging pipeline. (Check portfolio for short case studies.) Availability: 30+ hrs/week, open to contract-to-hire. Message me with 1) a short project description, 2) sample data, 3) desired deliverable (prototype, deployable API, or evaluation report) — I’ll reply with next steps and an estimate.

I'm Ben Feifke, and I help my clients turn their data into their competitive edge. For the past year, I've been helping small to medium sized businesses discover and leverage the immense value locked in their data as a Top Rated, 5-Star Freelancer on Upwork. I have 10+ years experience as a data scientist and machine learning engineer for top companies, including a publicly listed company and as the founding engineer at a Y-Combinator backed startup. I've worked across a number of domains, including but not limited to: geospatial data and GIS applications, logistics and transportation, healthcare and medical technology, price optimization, social media data, sentiment analysis, building energy performance and modeling, and more. Beyond technical excellence in delivering value from data, I'm a clear communicator to audiences of all technical levels. I look forward to getting to know you and your business. Services I Offer: - ML/AI Product Development: helping you turn your ML idea and data into a clearly codified vision with an executable roadmap and timeline. - ML and Data Software Engineering: improving, optimizing, and extending the functionality of your already existing software, ML, or data solutions; I can start a project from scratch or get up and running on your ongoing project in 24 hours. - Cloud Development: Deploying, monitoring, or improving your software or data solutions in the cloud. - Business Automation: Optimizing and automating your business processes, enabling you to focus on what really matters. Why Hire Me: - Bringing success to your project is my #1 priority - I respond within 3 hours to any technical issue or question that arises during work hours, 6 days a week. Qualifications: - 5+ years working experience as a Senior Data Scientist, Machine Learning Engineer, Data Engineer, and Manager. - MS Data Science from University of Rochester - BS Optics from University of Rochester - Published Data Science blog with 15k+ reads Skills I Possess: - Programming Languages: Python (Numpy, Scipy, Scikit-Learn, Pandas, Polars, Keras, Tensorflow), SQL - Machine Learning Techniques: Regression, Statistics, Gradient Boosting, Maximum Likelihood Estimation, Probabilistic Graphical Models, Deep Learning, Hyperparameter Tuning. - Data Processing and Transformation: Apache Spark, Python Polars, AWS Glue - Dashboards: Looker, Tableau - Cloud: Amazon Web Services (AWS), Google Cloud Project (GCP) - Data Warehouse, Data Lake, Databases: GCP BigQuery, AWS Athena, PostgreSQL, MySQL, SQLite - Data Pipelines, Infrastructure, and Orchestration: Apache Airflow, Mage, dbt - Deployment and DevOps: CI/CD, Docker, Streamlit