AI Engineer specializing in Generative AI, Large Language Models (LLMs), multi-agent systems, machine learning, and computer vision. I help companies design and build 𝗟𝗟𝗠 applications, 𝗥𝗔𝗚 knowledge systems, 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 workflows, and production-grade 𝗺𝗮𝗰𝗵𝗶𝗻𝗲 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 systems using Python and modern AI frameworks. With 24+ years of experience in 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 and deep-tech software engineering, I focus on building AI systems that are 𝘀𝗲𝗰𝘂𝗿𝗲, 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, and 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆. I currently lead AI engineering department at Apriorit, a software R&D company with 400+ engineers, where we develop advanced AI systems for Cybersecurity, Healthcare, and FinTech. What I Build 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Predictive analytics and ML pipelines ↳ Fraud detection and anomaly detection ↳ Recommendation systems ↳ Data processing and feature engineering pipelines 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 / 𝗟𝗟𝗠 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (RAG) knowledge systems ↳ 𝗟𝗟𝗠-𝗽𝗼𝘄𝗲𝗿𝗲𝗱 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 and enterprise AI 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 ↳ 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 and 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 for complex workflows ↳ 𝗟𝗟𝗠 𝗳𝗶𝗻𝗲-𝘁𝘂𝗻𝗶𝗻𝗴 and evaluation ↳ Private / 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲 𝗟𝗟𝗠 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 for sensitive environments 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 ↳ OCR and document understanding ↳ Object detection and tracking ↳ Image classification and segmentation ↳ Medical imaging and industrial automation 𝗦𝗲𝗰𝘂𝗿𝗲 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 ↳ Privacy-preserving AI architectures ↳ Adversarial ML defense ↳ AI-driven cybersecurity analysis 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 ↳ Generative AI / LLM • OpenAI, GPT-4, Llama 3, Mistral • LangChain, LlamaIndex • Hugging Face Transformers ↳ Machine Learning • Python, PyTorch, TensorFlow • Scikit-learn, Pandas ↳ Vector Search & RAG • Pinecone, Milvus, FAISS • Embeddings and semantic search ↳ Infrastructure • Docker, Kubernetes • AWS, GCP, Azure ↳ Computer Vision • OpenCV • YOLO • Vision Transformers 𝗦𝗲𝗹𝗲𝗰𝘁𝗲𝗱 𝗔𝗜 𝗨𝘀𝗲 𝗖𝗮𝘀𝗲𝘀 • 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 Secure RAG system enabling employees to search and interact with thousands of internal documents without data leakage. • 𝗙𝗶𝗻𝗧𝗲𝗰𝗵 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 Real-time machine learning platform detecting fraudulent transactions across high-volume payment streams. • 𝗛𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗗𝗶𝗮𝗴𝗻𝗼𝘀𝘁𝗶𝗰 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 3D medical image processing system supporting diagnostic analysis with ~95% accuracy. • 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 AI agents coordinating information retrieval, analysis, and automated task execution within enterprise systems. 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 • Security-first architecture (GDPR / HIPAA-ready) • Enterprise-grade engineering experience • Deep expertise in AI infrastructure, optimization, and system performance I focus on building AI systems that are reliable, scalable, and ready for real-world use. 𝘐𝘯𝘷𝘪𝘵𝘦 𝘮𝘦 𝘵𝘰 𝘺𝘰𝘶𝘳 𝘫𝘰𝘣 𝘧𝘰𝘳 𝘢 𝘱𝘳𝘦𝘭𝘪𝘮𝘪𝘯𝘢𝘳𝘺 𝘤𝘰𝘯𝘴𝘶𝘭𝘵𝘢𝘵𝘪𝘰𝘯 𝘵𝘰 𝘥𝘪𝘴𝘤𝘶𝘴𝘴 𝘺𝘰𝘶𝘳 𝘳𝘰𝘢𝘥𝘮𝘢𝘱 𝘢𝘯𝘥 𝘧𝘦𝘢𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘺.

Hello, I’m the founder of StreamTech, with over 11,000 hours across more than 100 AI and machine learning projects since 2016. I bring deep expertise in computer vision and edge AI ranging from object detection, tracking, and OCR to pose estimation, generative image processing, and event detection in sports feeds. I also excel in building intelligent AI agents and LLM driven chatbots that leverage multi turn dialog, RAG enabled memory systems, and API orchestration. My offerings extend beyond AI models and edge deployment. I provide full mobile experience solutions, creating cross platform React Native apps complemented by thoughtful UI/UX design. Whether it's crafting intuitive interfaces, responsive layouts, or seamless animations tailored for both iOS and Android, I ensure that the user experience complements the underlying AI technology. I guide projects end to end, collecting and labeling data, architecting and training models with PyTorch and TensorFlow, and deploying solutions either in the cloud (AWS, GCP) or on edge devices like Jetson Nano, Xavier, and Orin using DeepStream SDK. My engineering stack includes Python, C++, OpenCV, MediaPipe, OpenPose, SMPL, GANs, Stable Diffusion, Docker, and Kubernetes. At StreamTech, our mission has always been to harness cutting edge tech for meaningful business impact. By blending AI innovation with elegant mobile design, I help entrepreneurs and managers accelerate product development. If you're envisioning a mobile solution powered by CV or conversational AI, or need an AI agent interface that shines on mobile, let’s connect and explore how we can craft something exceptional together. Cheers!!

Top 1% AI Voice and Automation Architect. 15+ large automation systems, 30+ multilingual Voice AI Agents over last 3 years across multiple industries. I automate small businesses that rely heavy on conversational AI - Voice AI agents, SMS, emails, chatbots. Keeping everything together in CRM with clean reports. My clients come usually from home services, car rentals, real estate and similar business - they have solid business, good reviews but stuck in operations. My approach: 1. Architecture first. With AI, executing the actual automation is much easier now. The hard part is designing the system right from the start - that’s why I focus a lot on understanding your business and plan priorities with you. 2. Weekly deployments. I structure the project into weekly iterations so you get value as soon as possible and we get users feedback. 3. AI-native documentation. Everything I build is documented in a format your own AI assistant (Claude or ChatGPT) can read. I connect it directly to your assistant so your team can just ask it. Voice Agents for inbound and outbound systems. I build reliable, production ready agents: - Low latency, high accuracy - Highly personalized calls - pull data from your CRM/DB before call - Multilingual (English, Spanish, French, Arabic) - Multiple industries (Home Services, Automotive, Recruiting, Healthcare) - Connected to ecosystem(CRMs, Calendars, PBX/VOIP systems/SIP) - Qualifications, Objection Handling, Appointments, Call Transfers, SMS The stack I work with: - Pipecat/Livekit/Ultravox for complex agents - Retell, Elevenlabs, VAPI for simple agents - n8n, make, zapier for automations - MCP servers to connect system with Claude/GPT assistants - Claude Code for rapid development in Python and JS - Twilio, Telnyx, custom SIP trunks - GoHighLevel, Hubspot, Zoho, Pipedrive - Clay, Apollo, Instantly, Smartlead - Supabase, Airtable, Clickup I'm bringing my 14 years software engineer, devops, tech lead experience to build Voice agents in a proven, agile and modern approach: - Evaluations driven development. Building Voice Agents based on datasets of multiple scenarios on how real conversations might go(qualifications, obj. handling, appointments, etc) - Versioning agents and automations in Github - Fine tuning/dynamic flows for complex agents - Kubernetes for custom deployments and handling of 100+ calls concurrently Languages I worked with when building Voice Agents: - English - French(Quebec) - Spanish - Gulf Arabic - Dutch I have own toolset/frameworks to build and evaluate voice ai agents rapidly.

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.

Your go-to fullstack AI engineer and workflow automation expert, I build AI systems that quietly run in production. AI Agents, n8n workflows, LLM multi-agent architecture, RAG pipelines, and the fullstack apps that wrap around them. Top Rated on Upwork. RECENT WORK: → Multilingual cancellation management system for a German B2B client, Azure OpenAI + n8n classifying vendor replies in German and English, auto-generating bilingual responses. Replaced a manual triage queue. → Mobile Application for a Saudi Arabia Client to manage workforce & work with AI integrations. → End-to-end content automation pipeline, content brief to published post, GCP OAuth, multi-stage n8n workflow. → Outbound sales engine using Apollo + Saleshandy + n8n + Claude API, enrichment, personalization, and reply handling at scale. → Multi-agent HR ops system with Web Application, specialized AI agents handling recruitment, onboarding, and policy workflows across Slack and Teams. → RAG pipelines for B2B catalogs and knowledge bases (HVAC technical specs, internal docs, support corpora) using Pinecone, pgvector, LlamaIndex, and LangChain. → Fullstack SaaS builds, multi-tenant platforms with React/Next.js frontends, FastAPI/Django backends, and AI features baked into the core product flow. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHERE I'M STRONGEST 1. Workflow Automation Production n8n architecture, the messy real-world kind with retries, error handling, rate limits, and observability. Not happy-path demos. Multi-system orchestration across CRMs, email, Slack, databases, and internal APIs. 2. AI Agents & LLM Systems RAG pipelines that retrieve the right thing the first time. Multi-agent orchestration with Anthropic, OpenAI, and open models. Tool use, function calling, evaluation, and production guardrails. Vector databases, embedding strategy, and retrieval tuning. 3. Fullstack Development React and Next.js on the frontend. Python (FastAPI, Django, Flask) and Node.js on the backend. PostgreSQL, MongoDB, vector DBs. REST and GraphQL APIs. End-to-end app delivery, not just the AI layer, but the dashboards, admin panels, auth, billing, and UI your users actually touch. 4. Infrastructure & Deployment Docker, CI/CD pipelines, AWS and Azure. Production monitoring, logging, and the boring reliability work that separates a demo from a system you can bill clients on.

Hi, I’m Aniket - a Machine Learning Engineer and Quantitative Systems Developer focused on building data driven trading and analytics systems. I work with Python, Pytorch, sciki learn, Pandas, and NumPy to develop ML models, backtesting engines, and paper trading platforms for financial and market data. My work emphasizes robust evaluation, risk aware design, and clean engineering, not just model accuracy. I specialize in: - ML for Financial & Market Data - Quantitative Strategy Research & Signal Modeling - ML Based Backtesting & Paper Trading Systems - Financial Time-Series Analysis & Feature Engineering - Risk Management & Performance Evaluation - End-to-End ML & Trading Pipelines I’m also an active open source contributor to production grade Python and data science/ML libraries, which helps me deliver maintainable, scalable, and reliable systems. Whether you need strategy research, an ML backtester, or a trading analytics pipeline, I bring a practical, engineering-first mindset focused on real-world results. Let’s collaborate to transform your data into actionable outcomes, on time and with precision.

⭐️⭐️⭐️⭐️⭐️ “Ishaq is a Professional Data Analyst and Research Consultant.” Python: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn, Plotly| R / RStudio, Rshiny | SPSS | STATA | EViews | Power BI | Tableau| MS Excel | Cloud Platforms: Microsoft Azure Machine Learning Studio, AWS SageMaker, and Google Cloud AI tools. 📊 Kindly Contact Me Before Placing Your Order! I am a Data Analyst, Machine Learning Engineer, and Statistician (PhD) with a strong background in transforming complex data into actionable insights and intelligent solutions. Over the years, I’ve worked across research, analytics, and AI-driven problem solving, helping businesses and researchers make confident, data-backed decisions. 🔹 What I Offer This gig provides comprehensive quantitative and qualitative data analysis with detailed, easy-to-understand reports using cutting-edge tools and technologies. 🔹 Areas of Expertise I specialize in: Data Analysis & Visualization: Python, Power BI, Tableau, MS Excel Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch, NLP, Deep Learning, Predictive Modeling, and Time Series Forecasting Statistical Modeling: Hypothesis Testing, Regression, ANOVA, Bayesian Inference, and Experimental Design Data Engineering: SQL, ETL Pipelines, Data Cleaning, Preprocessing, and Automation Cloud-Based Analytics: Deploying ML models and data pipelines on Azure and AWS Research & Academic Writing: Statistical consulting, reproducible research, and technical documentation. I also conduct specialized analyses in: Biostatistics, Bioinformatics, and Biometrics Econometrics and Economics Environmental and Genetic Statistics Mathematical and Applied Statistics Time Series and Forecasting Hypothesis Testing (Chi-square, t-test, z-test, etc.). 🔹 Why Work With Me With PhD-level expertise in data science and statistics, I combine academic depth with industry-grade analytical skills. Every project is approached with precision, reproducibility, and practical insight, ensuring your data tells a story that truly matters. 🔹 What You Can Expect ✅ Accurate and reproducible analysis ✅ Clear interpretation and professional visualization of results ✅ Fast delivery and transparent communication ✅ 100% client satisfaction Let’s bring your data to life through intelligent analysis and modern AI solutions. Kindly contact me before placing your order to discuss your project requirements in detail.

Ahmed Sherif has a great mix of Data Science and Engineering skills. He spends his time building and deploying cool ML and deep learning applications to the cloud. He has programming knowledge in Python, R and SQL, which he uses in conjunction with Spark to build out data and ML pipelines. He has additional programming knowledge in JavaScript, HTML, CSS, and D3.js to deploy web based visualizations. In 2016, Ahmed published his first book, 'Practical Business Intelligence'. It is a journey in developing BI solutions with open source software to help companies gain a competitive advantage. In 2018, he published his second book, Apache Spark Deep Learning Cookbook.

I am an experienced AI Engineer with over six years of professional expertise, working with companies worldwide to develop high-quality products and drive innovation. Throughout my career, I have taken on leadership roles, guiding teams in delivering impactful solutions. My core expertise lies in Large Language Models (LLMs), where I have extensive experience in fine-tuning, running open-source LLMs, building Retrieval-Augmented Generation (RAG) pipelines, designing knowledge graphs, and implementing vector databases. I have successfully developed over 50 projects utilizing LLM applications, including advanced voice-enabled chatbot systems that deliver seamless conversational experiences. In addition to my LLM expertise, my academic background includes a Master’s research thesis on Diffusion Models for context-based image generation. This has given me a deep understanding of generative computer vision models and their applications, allowing me to work on cutting-edge solutions in the domain of generative AI. My research and hands-on experience enable me to tackle complex challenges in both AI and computer vision. I am also an AWS Certified Cloud Engineer with significant experience in deployment and cloud management, ensuring scalable and efficient solutions for businesses. Over the course of my career, I have developed more than 200 projects and collaborated with over 20 companies, gaining expertise across a wide range of technologies, including but not limited to Java, C++, SQL, Theano, Go, and R. This diverse experience has equipped me with the versatility and technical depth to deliver exceptional results on projects of any scale and complexity.

Hi. Its Talha - Skilled AI engineer with 3 years of experience - Winner of 3 international deep learning competitions in NLP and medical imaging hosted by Coda-lab, TIRA, and Grand Challenge - Creator of a comprehensive Udemy course on deep learning competition strategies - Author of 15 publications in fields like medical imaging, NLP, deep learning, and biomedical signal processing, with over 150 citations and an h-index of 7 - Holds a master's degree in data science - Specializes in NLP, particularly in developing ChatGPT chatbots using Langchain - GitHub profile: talhaanwarch for project exploration - Committed to delivering high-quality, error-free results; ideal candidate for your project