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Experienced AI Engineer and Data Scientist with 4+ years in deploying real-world machine learning solutions. Specialized in Natural Language Processing, Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). Skilled in fine-tuning transformer models, optimizing Deep Learning systems, and applying MLOps for scalable deployment. Delivered production-ready AI systems that solve complex problems and drive business value across industries. Published researcher with a strong track record in advancing Deep Learning applications. Thrive in fast-paced environments focused on innovation, performance, and measurable impact.

As an 𝐄𝐱𝐩𝐞𝐫𝐭-𝐕𝐞𝐭𝐭𝐞𝐝 𝐀𝐈 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 (Top 1% on Upwork) with a Master’s in AI from the University of Bath, I provide more than just code. I provide architectural certainty. I design and build resilient, autonomous AI systems that solve high-value business problems for enterprise clients like 𝐍𝐞𝐬𝐭𝐥é, 𝐏𝐟𝐢𝐳𝐞𝐫, 𝐚𝐧𝐝 𝐕𝐢𝐬𝐚. 𝐌𝐲 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: 𝐌𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 Most developers specialize in either text (LLMs) or images (Computer Vision). I bridge this gap. I design Multimodal Agents that can "see" the real world through advanced Computer Vision and "act" upon it using autonomous reasoning. This enables complex workflows such as: - 𝑨𝒖𝒕𝒐𝒎𝒂𝒕𝒆𝒅 𝑽𝒊𝒔𝒖𝒂𝒍 𝑰𝒏𝒔𝒑𝒆𝒄𝒕𝒊𝒐𝒏: Agents that detect manufacturing defects and autonomously manage supply chain responses. - 𝑰𝒏𝒕𝒆𝒍𝒍𝒊𝒈𝒆𝒏𝒕 𝑺𝒆𝒄𝒖𝒓𝒊𝒕𝒚 𝑴𝒐𝒏𝒊𝒕𝒐𝒓𝒊𝒏𝒈: Systems that interpret video feeds in real-time to alert security teams to specific behavioral anomalies. - 𝑽𝒊𝒔𝒖𝒂𝒍 𝑹𝑨𝑮 𝑺𝒚𝒔𝒕𝒆𝒎𝒔: Knowledge bases that allow users to query technical schematics or video archives using natural language. 𝐖𝐡𝐲 𝐌𝐲 𝐑𝐚𝐭𝐞 𝐢𝐬 $𝟏𝟎𝟎/𝐡𝐫: You are hiring a Lead Engineer and Architect. My 7 years of experience—spanning high-growth startups and global consultancies—allow me to prevent costly architectural mistakes before they happen. I design systems that are scalable, secure, and GDPR-compliant from Day 1. 𝐑𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐯𝐞 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: - 𝑬𝒏𝒕𝒆𝒓𝒑𝒓𝒊𝒔𝒆 𝑫𝒂𝒕𝒂 𝑨𝒏𝒂𝒍𝒚𝒔𝒊𝒔 (𝑺𝒏𝒐𝒘𝒉𝒆𝒂𝒑): Architected a multi-agent system (Agno/LangChain) for automated report generation, currently used by major global financial clients. - 𝑹𝒆𝒂𝒍-𝑻𝒊𝒎𝒆 𝑷𝒓𝒐𝒄𝒕𝒐𝒓𝒊𝒏𝒈 𝑷𝒍𝒂𝒕𝒇𝒐𝒓𝒎 (𝑹𝒐𝒔𝒂𝒍𝒚𝒏.𝒂𝒊): Engineered a microservices-based vision pipeline integrating Gaze Tracking and Pose Estimation, scaling to support thousands of concurrent exams. - 𝑷𝒓𝒆𝒅𝒊𝒄𝒕𝒊𝒗𝒆 𝑺𝒑𝒐𝒓𝒕𝒔 𝑨𝒏𝒂𝒍𝒚𝒕𝒊𝒄𝒔 (𝑭𝑿1): Deployed real-time computer vision models on GCP to analyze live MMA streams and forecast outcomes. 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: - 𝑨𝒈𝒆𝒏𝒕𝒊𝒄 𝑭𝒓𝒂𝒎𝒆𝒘𝒐𝒓𝒌𝒔: Agno (Phidata), LangGraph, LangChain, CrewAI. - 𝑪𝒐𝒎𝒑𝒖𝒕𝒆𝒓 𝑽𝒊𝒔𝒊𝒐𝒏: PyTorch, OpenCV, YOLO, Vision Transformers (ViT). - 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆: Docker, Kubernetes, AWS/GCP, Edge AI. - 𝑫𝒂𝒕𝒂 & 𝑴𝒆𝒎𝒐𝒓𝒚:Weaviate, Pinecone, Redis. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝? If you are looking for a partner to guide your technical strategy and execute with precision, invite me to your job. Let's discuss your architecture.

💎 Top Rated Plus Freelancer | 11,000+ Hours on Upwork I’m a Senior Applied AI Engineer and Full-Stack Engineer with 8+ years of experience building scalable AI systems, backend platforms, and high-volume distributed applications used in production by thousands of users. I specialize in production AI systems, multi-agent workflows, LLM integrations, observability agents, automation systems, and scalable backend architectures. My focus is not just building AI demos, but shipping reliable systems that work under real-world scale and constraints. ━━━━━━━━━━━━━━━━━━ 🚀 What I Can Help You Build ━━━━━━━━━━━━━━━━━━ ✅ AI Agents & LLM Systems • OpenAI / Claude integrations • MCP servers & tool-based architectures • LangChain / LangGraph workflows • RAG systems & vector search • AI-powered observability & support systems • AI coding/review agents ✅ Backend & Distributed Systems • Python (FastAPI, Django, AsyncIO) • Event-driven & async architectures • Celery / Dramatiq / Kafka / RabbitMQ • PostgreSQL / Redis / Elasticsearch • High-scale APIs & integrations • Workflow orchestration ✅ AI & Data Engineering • PyTorch / Scikit-learn / TensorFlow • Data pipelines & ETL systems • ML evaluation pipelines • Real-time monitoring & analytics • Web scraping & automation • Computer vision systems ✅ Infrastructure & DevOps • AWS / GCP / Azure • Docker / Kubernetes • CI/CD pipelines • Prometheus / Grafana / Sentry • Performance optimization & reliability ━━━━━━━━━━━━━━━━━━ 💡 Why Clients Work With Me ━━━━━━━━━━━━━━━━━━ ✔ End-to-end ownership — architecture → implementation → deployment → monitoring ✔ Strong product and engineering mindset ✔ Experience building real production AI systems ✔ Fast iteration using AI-native development workflows ✔ Focus on scalability, reliability, and maintainability ✔ Clear communication and proactive collaboration I care about building systems that are not only technically strong but also practical, maintainable, and valuable for the business.

Full Stack MERN developer. Built several consumer and Machine Learning web-apps at scale. Worked at startups, EV and nanotech firms.

✔ 7+ Years of Industry Experience ✔ Python Expert ✔ FastAPI Expert ✔ Data Engineering Expert ✔ Natural Language Processing Expert ✔ Classification Expert ✔ Time Series Expert ✔ Chatbot Expert ✔ GCP Expert ✔ Deploying Machine Learning Models Expert I'm an Senior Software Engineer with expertise in Backend Development and Machine Learning. I have developed systems that tackle millions of users and have made my clients happy around the world! Tools & Technologies ✔ FastAPI ✔ MySQL ✔ Postgres ✔ BigQuery ✔ Spanner ✔ Looker Studio ✔ Elastic Search ✔ Docker ✔ Kubernetes ✔ GitHub Actions ✔ Transformers ✔ Diffusers ✔ TensorFlow ✔ Pytorch ✔ Keras ✔ Pandas ✔ Numpy ✔ Spacy ✔ Scikit-Learn ✔ Gensim ✔ Plotly ✔ Matplotlib ✔ Seaborn ✨ Competitive Programmer with 14+ Competitions under my name ✨

A seasoned Data & AI Solution Architect with over 6 years of experience delivering cutting-edge solutions in GenAI, Machine Learning, and Advanced Analytics across diverse industries, including telecom, retail, automotive, finance, and energy. I specialize in designing and implementing end-to-end data-driven solutions leveraging platforms like Databricks, AWS, Azure, and GCP, ensuring scalability, efficiency, and business impact. Key Highlights - AI Expertise: Proven success in developing AI-powered solutions, including fine-tuning LLM models (e.g., Llama-3-8B), automating workflows, and creating recommendation engines that increase customer engagement and revenue. - Generative AI: Skilled in designing and implementing Agentic AI solutions using LangGraph and Model Context Protocol (MCP), enabling AI assistants to interact with enterprise systems, APIs, databases, cloud resources, and business applications through standardized tool interfaces. Built intelligent multi-agent workflows capable of orchestrating business processes, automating decision-making, and integrating seamlessly with enterprise ecosystems. - Agentic A & MCPI: Skilled in designing and implementing Agentic AI solutions using LangGraph and Model Context Protocol (MCP), enabling AI assistants to interact with enterprise systems, APIs, databases, cloud resources, and business applications through standardized tool interfaces. - Data Engineering Excellence: Proficient in building optimized data pipelines, transforming raw data into actionable insights, and implementing Delta Lakehouse architectures to reduce costs and improve operational efficiency. - Cloud Mastery: Extensive hands-on experience in cloud environments (AWS, Azure, GCP) for deploying scalable infrastructure and integrating cloud-native AI/ML solutions. - Databricks Expertise: A Databricks-certified professional with deep expertise in Unified Analytics, Delta Live Tables, and enabling AI-driven efficiencies for large-scale enterprises. - Business Impact: Delivered measurable results, such as reducing incident handling time by 90%, increasing app engagement by 150%, and optimizing production assembly lines across 40+ plants. Certifications & Recognition - Databricks Certified (Data Engineer Professional, Machine Learning Associate, Spark Developer). - AWS Community Builder for the past 2 years, showcasing expertise and active contributions to the AI and cloud community. - 25+ certifications from Coursera in Data Science, AI, and Cloud Computing. What I Bring to the Table - A client-centric approach with a knack for understanding business challenges and aligning technical solutions to meet organizational goals. - A proven track record of leadership, having led teams of data scientists and engineers to deliver impactful projects across geographies. - Expertise in designing AI-driven systems for personalization, predictive analytics, and automation, enhancing customer experiences and driving growth.