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Expert in: Python, Large Language Models, SQL + 6 more
I'm an AI/ML Engineer with 3+ years of experience building scalable machine learning and Generative AI systems across financial services and healthcare. I specialize in large language models, multimodal modeling, distributed architectures, and production-grade ML platforms that are secure and compliant. I excel at turning complex business and regulatory requirements into impactful AI solutions, improving model performance, accelerating development lifecycles, and boosting system reliability through robust feature engineering, governance, and cloud-native deployments. I thrive collaborating with cross-functional teams to translate needs into secure, scalable AI products.
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Expert in: Python, Data Visualization, Power BI + 9 more
I am an AI/ML Engineer who thrives on turning data into concrete business outcomes. I have over 3 years of hands-on experience building, monitoring, and analyzing production-grade machine learning systems, with a focus on model performance, data-driven insights, and end-to-end ML lifecycle management. I enjoy collaborating with cross-functional teams to deliver reliable, interpretable AI solutions that matter in real-world operations. I am proficient in Python, ML pipelines, analytics, and visualization, with experience across cloud platforms and stakeholder-facing reporting. I am proactive in maintaining governance and quality across data and models, and I continuously seek opportunities to translate complex model behavior into actionable decisions that drive performance and scale.
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Expert in: Python, PyTorch, SQL + 7 more
PROFESSIONAL EXPERIENCE Associate AI Engineer – Oak Street Technologies, Gulberg Green, Islamabad September 2025 – Present Developing and scaling an enterprise AI-powered SQL retrieval and chatbot platform using multi-agent architectures. Designed a supervisory agent to route queries to specialized client- and employee-level agents. Enhanced chatbot intelligence with long-term memory, contextual reasoning, and multi-intent handling. Optimized RAG pipelines, vector databases, and caching to reduce response latency and improve scalability. Implemented RBAC and fine-grained permissions to ensure secure, role-based enterprise data access. Building action-oriented agents enabling automated email and client communication workflows via the chatbot. Collaborating cross-functionally to integrate LLM-based agentic systems with enterprise data infrastructure. AI Intern – Oak Street Technologies, Gulberg Green, Islamabad June 2025 – August 2025 Researched and implemented AI-based solutions using LangGraph and Large Language Models (LLMs). Built an AI-powered SQL retrieval agent that converted natural language queries into optimized SQL using Retrieval-Augmented Generation (RAG). Developed a context-aware chatbot agent with document grounding for intelligent query handling. Integrated pipeline orchestration and retrieval mechanisms using LangGraph and vector databases. AI Intern – Nokia Pakistan, H-8/4, Islamabad July 2024 – August 2024 Conducted research on Net Promoter Score (NPS), Customer Satisfaction (CSAT), and Churn Rate analysis. Designed a web page to monitor customer experience using Flask, React.js, and HTML/CSS. Utilized AI to predict customer experience trends and experimented with LLMs for automated report generation. PROJECTS: Final Year Project – Instructo AI-powered educational platform offering personalized video lectures, real-time Q&A, and interactive visualizations in a 3D virtual classroom. Features an AI teaching assistant, voice/text input, and progress tracking. [Generative AI, Node.js, React, Next.js, Supabase] PaperGenie Developed an AI research assistant that fetches and summarizes arXiv papers using NLP models, generating BibTeX citations and downloadable reports via an interactive UI. [Python, HuggingFace, Gradio] AI-Powered Multi-Agent Research Assistant - Student Research Assistant Built an AI-powered research assistant with multi-agent architecture (supervisor + 5 worker agents) for document summarization, code analysis, citation formatting, and academic search. Implemented real-time streaming, OCR, speech-to-text, and PDF export features. [Python, FastAPI, LangGraph, LangChain, Groq API, Supabase, EasyOCR]
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Expert in: Python, Docker, JavaScript + 14 more
Hi there! I'm an AI/ML engineer with hands-on experience designing and deploying agentic AI systems, automation pipelines, and large-scale data extraction platforms. I love turning complex data into actionable insights and delivering measurable business impact. I thrive in cross-functional teams, excel at prompt engineering, API integrations, and production automation using Python, FastAPI, Docker, and cloud platforms. I’m motivated by building robust systems that scale with real value and am always eager to learn, adapt, and contribute to ambitious projects.
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Expert in: Node.js, Python, JavaScript + 5 more
I'm Eren Şimşir, a developer specializing in API development, Node.js, Python, and machine learning libraries. I build scalable backend systems, databases, and data-driven applications, with experience across the MERN stack and cloud deployments. I enjoy turning complex business needs into robust technical solutions, collaborating with cross-functional teams to optimize workflows, and exploring AI, NLP, and data science to empower informed decision-making.
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Expert in: Python, AWS, TensorFlow + 25 more
Hi, I’m Rishitha Reddy Sunkireddy, a dedicated AI/ML Engineer who translates data into actionable insights and scalable AI solutions. I design cloud-native, GenAI-powered systems across financial services, technology, automotive/industrial AI, and risk analytics to improve decision making, automate workflows, and drive business impact. I thrive in cross-functional teams, enjoy turning ideas into robust ML pipelines, and am passionate about responsible AI, deployment automation, and aligning technical delivery with strategic outcomes.
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Expert in: Python, AWS, Large Language Models + 25 more
I’m Vadim, an AI strategist and hands-on tech lead with two decades of IT experience. I design and implement modern AI/ML solutions across cloud platforms, focusing on robust architectures, scalable pipelines, and measurable business impact. I thrive in cross-functional environments and enjoy turning complex data problems into reliable, data-driven products. In my leadership roles, I guide teams to deliver enterprise-grade AI platforms and data pipelines, with emphasis on performance, security, and operational excellence. I’m passionate about mentoring peers, communicating technical concepts clearly, and driving initiatives that enhance customer value and business outcomes.
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Expert in: Data Science, Python, Large Language Models + 10 more
I am a Principal AI/ML Solutions Architect and Data Scientist with over 14 years of hands-on work in predictive maintenance, machine learning, and advanced analytics for manufacturing, industrial, and energy sectors. I design scalable AI/ML systems, build end-to-end MLOps pipelines, and apply deep learning, NLP, and large language models to solve complex business problems. I'm known for clear communication, strategic thinking, and delivering high-value, reliable AI products.
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Expert in: PyTorch, Large Language Models, Python + 6 more
I am an AI engineer specializing in developing production-grade conversational agents and AI-powered chatbots, leveraging PyTorch and large language models. I combine Retrieval-Augmented Generation (RAG) with automated Red Teaming pipelines to build chatbots that are contextually accurate, safe, and hallucination-resistant, ensuring a superior user experience. With strong backend roots, I handle the full lifecycle from model fine-tuning to seamless deployment and integration into web or mobile applications.
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Expert in: Python, Power BI, Tableau + 10 more
I am a computer engineering student at ESPRIT, specializing in Business Intelligence and Data. I enjoy turning data into actionable insights using BI, ML, and AI technologies. I have hands-on experience in building data pipelines, clustering, NLP, and working with Large Language Models to deliver dashboards and analytical solutions for real-world decisions. I am eager to contribute to innovative, data-driven projects with real-world impact.
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Expert in: Python, PyTorch, JavaScript + 7 more
CRM Automation Engineer & AI Developer focused on building high-efficiency business infrastructures and automated sales pipelines. Expert in orchestrating end-to-end lead management systems using GoHighLevel (GHL) and n8n, from capturing prospects via webhooks to automating complex follow-up campaigns. Proven ability to merge technical AI agent development with practical CRM strategies to streamline operations, optimize client engagement, and drive revenue growth. Core Expertise: - CRM & Automation: GoHighLevel (GHL), n8n, Email Campaign Management, Webhook Integrations, Pipeline Optimization, Lead Gen Automation - AI Agents & Engineering: LangGraph, RAG Pipelines, Multi-Agent Systems, Tool-Calling, LLM Integration - Development & Deployment: Python, Pytorch, Supabase, Docker, FastAPI, PostgreSQL, Git
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Expert in: Large Language Models, Data Science, Python + 7 more
I'm Ahlem Ammar, an AI Engineer and NLP expert with deep knowledge in machine learning, statistical analysis, and text mining. I design and deploy NLP solutions that drive data-driven decision making, leveraging modern ML models, large language models, and retrieval-augmented approaches to extract context from text data. Outside core development, I enjoy crafting intuitive data-driven experiences and collaborating across teams to turn insights into impact. Currently, I work as a Data Scientist at VIVIA, building LL M-based architectures and retrieval-augmented generation systems, and I also teach software development as a university professor. I’m conscientious, methodical, and thrive in environments that value quality, collaboration, and rapid iteration.
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Expert in: AWS, JavaScript, Python + 9 more
Hi, I’m Nishith Kumar. I’m an AI engineer specializing in building production-grade AI solutions on AWS and Azure, with a focus on backend APIs, ML pipelines, and automation tooling. I’m currently pursuing a Master’s in AI for Business in Barcelona while applying hands-on skills across AI and software development to create scalable, reliable systems. I enjoy collaborating with cross-functional teams to turn complex data problems into practical, user-friendly tech solutions. In my daily work, I combine frontend and backend expertise to deliver AI-powered features using React/TypeScript and robust APIs, while ensuring strong observability, security, and maintainability. I’m always learning and experimenting with new AI techniques, ML models, and cloud-native workflows to drive impact and efficiency for teams and users alike.
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Expert in: Python, Large Language Models, SQL + 8 more
Motivated and detail-oriented AI Engineer with hands-on experience across the AI/ML lifecycle, including problem framing, data exploration, model training, testing, and deployment. With advanced academic training (Bachelor’s + Master’s), I specialize in building LLM-based solutions such as summarization and retrieval-augmented generation (RAG). I am skilled in Python and SQL, with experience working in cloud-based environments. I have practical experience in information extraction and text classification, along with a strong interest in responsible AI practices including fairness, explainability, and ethical AI development. I am committed to developing scalable and high-impact AI systems that enhance digital experiences and deliver meaningful value.
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