🚀 Top-Rated AI/ML Engineer with 4+ years of experience delivering end-to-end AI solutions — from computer vision and generative models to LLM-powered agents and agentic RAG systems. I help startups and enterprises build intelligent, production-grade AI applications that optimize workflows, automate decision-making, and generate real business value. 🧩 What I Do Best: AI Agents & Agentic Flow Development Multi-agent architectures (LangGraph, FastAPI, MCP) RAG pipelines with clustering nodes & dynamic prompting Integrations with QuickBooks, Slack, and APIs LLM Applications Chatbots using GPT, Claude, Gemini APIs Fine-tuned domain-specific LLMs (LangChain, HuggingFace) Custom knowledge retrieval & memory management Computer Vision & Image Generation Segmentation & Background Removal: BiRefNet, PDFNet, SAM-DINO, U-Net ComfyUI Workflows: Stable Diffusion SDXL, LoRA fine-tuning, inpainting Object isolation, realistic background generation, image-to-image pipelines Model Optimization & Automation Neural network compression (GAN-based) Multi-cloud deployment (AWS, Docker, GCP) FastAPI + Qdrant + Traefik for scalable AI apps ⚙️ Tools & Frameworks Python | LangGraph | FastAPI | ComfyUI | Diffusers | Stable Diffusion | SAM | LoRA | Qdrant | Docker | AWS | PyTorch | TensorFlow | HuggingFace 🌍 Why Clients Hire Me ✅ Deep technical background (AI/ML Engineer @AIDevLab, Ex-Afiniti) ✅ Proven record improving model accuracy & efficiency (up to 97% IoU for segmentation, 80% faster retrieval) ✅ Fast communication, well-documented code, and delivery-focused mindset Let’s build something intelligent together — from LLM-driven automation agents to next-gen AI vision pipelines.

Struggling with building powerful AI systems that actually deliver business results? I specialize in turning complex Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) into simple, scalable, business-focused solutions. As a Top Rated AI Developer with 40+ successful projects, I help businesses: Predict outcomes and optimize operations with custom ML models Deploy real-world AI solutions — not just theoretical prototypes Build AI-powered chatbots, automation systems, and smart assistants Save time, increase revenue, and stay ahead of competitors through intelligent automation What I Offer: ✅ End-to-End Machine Learning Solutions (preprocessing to deployment) ✅ Advanced Deep Learning Systems (CNNs, GANs, Transformers) ✅ NLP Solutions (chatbots, text analysis, language modeling) ✅ LLM Integration (GPT-4, Claude, Llama2, Gemini, Falcon 7B) ✅ Automation & Workflow Orchestration (Make.com, N8N, LangChain, CrewAI) ✅ AI-Powered Computer Vision (YOLOv8, SAM, EfficientNet, Unet, MediaPipe) ✅ Real-Time ML Deployments (Flask, Django, AWS, GCP) ✅ IoT & Edge AI Solutions (Jetson Nano, Raspberry Pi, Arduino) ✅ Scalable AI Infrastructure on Cloud Why Work With Me? Clear and Responsive Communication Cutting-edge AI Techniques for Maximum Accuracy Timely Project Delivery & Full Testing/Validation Business-Centric Solutions, Not Just Code Tech Stack: Python | TensorFlow | PyTorch | Hugging Face | OpenCV | Flask | Django | AWS | Make.com | N8N | PostgreSQL | Pinecone | Faiss | Chroma | Qdrant Ready to transform your data into business intelligence or automate your workflows? Let’s connect and turn your AI vision into reality. Message me today!

With 4+ years in AI, I bridge the gap between advanced research and production engineering. I don't just train models; I build the scalable infrastructure to serve them. My expertise takes custom neural networks from mathematical theory to fully deployed, production-grade APIs on Kubernetes clusters. 🛠️ Core Technical Stack 1. Generative AI & Agents Tech: LLMs, AI Agents, RAG, LiveKit, TTS, STT, LangGraph, MCP, n8n workflows. Memory & Context: mem0 (Memory Management), RAG pipeline optimization. 2. Deep Learning & Neural Networks Core: PyTorch, Stable Diffusion, Transformer, 3D U-Net, IP-Adapter, ControlNet, ArcFace. 3. Backend API Development & Real-Time Streaming Frameworks: Expert in FastAPI (Async/High-concurrency) and Flask for serving ML models. Protocols: RESTful APIs, WebSockets, gRPC, and Swagger/OpenAPI documentation. Streaming: LiveKit, WebRTC, Socket.io for low-latency interactive AI. 4. MLOps, DevOps & Big Data CI/CD & Monitoring: GitHub Actions, Sentry (Error Monitoring), Automated Testing Pipelines. Infrastructure: Docker, Kubernetes (Scalable Clusters). Data Engineering: Kafka, Debezium, PySpark for real-time data streaming. HPC: Distributed training (Multi-node/Multi-GPU) on A100 & H100 clusters. 📂 Project Showcase 🤖 Intelligent Voice Agent & RAG System Role: Led the upgrade of a Voice Agent (v0.x to v1.x), serving the RAG pipeline via optimized FastAPI endpoints. Agentic Workflow: Implemented long-term memory using mem0 and integrated n8n workflows via an MCP server. Ops: Deployed on Kubernetes with GitHub Actions for CI/CD and Sentry for real-time error tracking. 🎥 Real-Time Talking Avatar Role: Integrated LiveKit (WebRTC) with Wav2Lip for a live-streaming avatar solution. Performance: Achieved sub-200ms latency on GPU clusters using optimized socket streaming. Impact: Reduced deployment costs by 50% through rigorous model pruning, quantization, and fine-tuning. 🚀 Stable Video Diffusion & HPC Training Role: Developed distributed training code for complex architectures (3D U-Net, IP-Adapter, ControlNet) using DensePose and 3D pose datasets. Infrastructure: Trained on 4x A100 (single node) and 2x H100 (multi-node) clusters. Result: Achieved 40% faster convergence through multi-node optimization compared to single-GPU training. 🗳️ Election Prediction System (Oman Shura Election) Role: Engineered a real-time election analysis pipeline using Debezium, Kafka, and PySpark. Modeling: Deployed Transformer-based models on 4x A10 GPUs to forecast polling percentages for 63 regions. Visualization: Created interactive dashboards visualizing 6 years of historical voting data. 💬 Speech-to-Text (Whisper ASR) Role: Trained and deployed OpenAI’s Whisper model using the Libri-speech dataset. Impact: Created a high-availability API pipeline capable of handling diverse audio inputs.

Building LLM-powered products or generative AI systems? I specialize in LLMs, RAG, and image generation (GANs, Diffusion, NeRFs). What I deliver: - Built AI products for YCombinator startups and Fortune 500 companies - Delivered production ML systems in San Francisco, London, and Madrid - 10+ years in AI/ML, from cutting-edge research to production Specialties: LLMs & Language: RAG systems, fine-tuning, prompt engineering, chatbots Generative Vision: GANs, Stable Diffusion, image-to-image translation, NeRFs Production: End-to-end ML pipelines, from data to deployed API Stack: PyTorch, TensorFlow, Hugging Face, Langchain, Diffusers, Docker, AWS/GCP Credentials: Ph.D. in AI | MBA | Expert-Vetted (Top 1% on Upwork) Let's discuss your project - message me to start.

🚀 Building AI Systems That Don't Stop at Demos Generative AI Engineer and Solution Architect with 4+ years of experience designing and deploying production-grade AI systems that solve real-world business problems. I don't just build LLM wrapper - I build intelligent systems that reason, retrieve, automate, communicate, and scale in production environments. From GraphRAG-powered enterprise knowledge platforms and autonomous multi-agent systems to real-time voice AI and LLM-driven applications, I focus on solving complex business problems and converting AI capabilities into measurable outcomes. 🧠 What I Build ⚙️ Generative AI & LLM Applications - OpenAI, Claude, Gemini, Llama, Mistral integrations - Agentic AI workflows & tool-using systems - Multi-agent orchestration (AutoGen, CrewAI, LangGraph) - Prompt engineering, evaluation & optimization frameworks - Fine-tuned AI assistants & copilots - Enterprise knowledge systems powered by LLMs ⚙️ RAG, GraphRAG & Knowledge Intelligence - Production RAG pipelines (hybrid + semantic search) - GraphRAG architectures for enterprise reasoning - Knowledge graph design & implementation (Neo4j, Graphiti) - Azure AI Search-based retrieval systems - Vector databases (Pinecone, Chroma, FAISS, Weaviate) - Hybrid search: vector + keyword + graph fusion ⚙️ AI Agents & Automation Systems - Autonomous task-executing agents - Multi-agent orchestration systems - MCP (Model Context Protocol) integrations - Research, planning & execution agents - Workflow automation for business operations - Tool-augmented agent ecosystems 🎙️ Conversational AI & Voice Agents - Real-time voice AI systems - Twilio + SIP/PBX integrations - Whisper STT pipelines - XTTS, ElevenLabs, Coqui TTS - Customer support & reception automation 👁️ Machine Learning & Computer Vision - Object detection, tracking & recognition systems - OCR & document intelligence pipelines - CLIP-based multimodal applications - Forecasting & predictive modeling - Custom deep learning solutions (PyTorch, TensorFlow) ⚙️ Backend & System Engineering - FastAPI, Django, Flask - Microservices & distributed systems - REST APIs & WebSockets - Event-driven architectures - Secure, scalable SaaS backends - High-performance system design ☁️ Cloud & MLOps - Azure OpenAI, Azure AI Search & AI Foundry, GCP VertexAI, AWS Bedrock and related integrations - Docker, Kubernetes, CI/CD pipelines - GitHub Actions & deployment automation - Scalable production ML systems - Monitoring & infrastructure design 💡 Why Clients Work With Me - AI-first product thinking (not just implementation) - End-to-end ownership from architecture to deployment - Production-grade systems built for scale and reliability - Strong communication & stakeholder alignment - Experience across startups, SaaS, and enterprise AI systems Let's build AI that goes beyond experiments and creates real impact.

Senior AI Technical Program Manager and AI Platform Leader with 10+ years of experience delivering enterprise-scale AI systems, Generative AI platforms, and secure data solutions across government, research, and global tech environments. I specialize in: Generative AI (LLMs, RAG, AI Agents, Multi-modal AI) AI Product & Program Management LLM Training, Evaluation & Benchmarking Enterprise AI Platforms & MLOps Secure AI & AI Governance (XAI, Adversarial ML) I have led large-scale AI programs including: LLM training pipelines (200+ contributors) Enterprise RAG platforms AI-powered document intelligence systems Geospatial AI and satellite analytics platforms Secure AI systems for healthcare, finance, and government I combine deep technical expertise + program leadership + product thinking, ensuring AI systems are not just built — but delivered, scaled, and aligned with business outcomes. Core Skills AI & Data Systems Generative AI (LLM, RAG, Agents, GANs) LLM Training, Evaluation & RLHF workflows AI/ML Engineering (PyTorch, TensorFlow, Transformers) MLOps & AI Infrastructure (Docker, Kubernetes, CI/CD) Vector Databases (Pinecone, FAISS, ChromaDB) Document Intelligence & OCR Systems AI Agents & Workflow Automation Explainable AI (XAI), Secure ML, Adversarial ML Program & Product Leadership AI Technical Program Management Product Strategy & Roadmap Execution Agile / Scrum / Hybrid Delivery Stakeholder & Executive Management Risk, Dependency & Release Management Cross-functional Team Leadership

I excel in Machine Learning (ML), Deep Learning (DL), Data Analysis, Large Language Models (LLM), Language Chain (LangChain), and Automation with 7+ years of experience. 🤖 Machine Learning & AI Development: Deep Learning & Neural Networks: Expertise in TensorFlow, PyTorch, and Keras for sophisticated model building. Natural Language Processing (NLP): Proficient in SpaCy, NLTK, and OpenAI models for advanced NLP applications. Computer Vision: Developing state-of-the-art image recognition systems with OpenCV. Large Language Models (LLMs): Skilled in GPT-4o, GPT-4, GPT-3.5, Claude, Llama 3, Llama 3.1, and Mistral, with LangChain for multi-agent systems. Scalable Vector Search: Utilizing Pinecone, Chroma, and FAISS for efficient vector search. Speech Recognition & Transcription: Implementing Whisper for fast and accurate speech-to-text solutions. 🌐 Web Scraping & Data Extraction: Advanced Web Scraping: Utilizing Selenium, Beautiful Soup, and Scrapy to extract valuable data, even from complex sites. Data Manipulation & Cleaning: Precision handling and analysis using pandas. Real-time Data Feeds: Automated data extraction for up-to-date market analysis and strategic insights. ⚙️ Automation Expertise: Automation Platforms: Extensive experience with Make, Zapier, and n8n for seamless workflow automation. API Integrations: Expertise in connecting APIs and streamlining data workflows to synchronize platforms and applications in real-time. Multi-step Automation: Building complex, logic-driven automation scenarios to reduce manual tasks and enhance efficiency. Custom Scripts: Writing Python-based scripts to automate tasks, process large datasets, and handle integration challenges. Voice AI Automation: Integrating VAPI-powered voice bots into automated workflows for appointment booking, customer feedback collection, and real-time audio interactions.

I have extensive experience in Computer Vision, Deep Learning, AI/ML, and Data Science, focused on creating impactful solutions that address real-world challenges. I specialize in transforming complex concepts into practical systems that meet and exceed client expectations. Whether it's building efficient models for object detection, classification, segmentation, or delivering insightful data analysis, I am dedicated to creating solutions that add value and drive success. **𝗦𝗞𝗜𝗟𝗟𝗦:** - Data Wrangling, Feature Engineering, Predictive Modeling - Machine Learning & Deep Learning Models, Data Analysis - Algorithm Development & Optimization - Object Detection, Classification, Instance & Semantic Segmentation - Face Detection & Recognition, Object Tracking, Re-Identification - Pose Estimation, Action Recognition - Image & Video Annotation, High Precision Bounding Boxes & Segmentation Masks - Frame Differentiation, Motion Detection, Change Detection - Model Deployment & Training, Hyperparameter Tuning - Data Visualization & Reporting, Feature Importance Analysis - Real-Time Video Processing, Edge AI Deployment, Model Integration into Applications **𝗧𝗢𝗢𝗟𝗦 𝗜 𝗨𝗦𝗘:** - YOLO (YOLOv8, YOLOv9, YOLO-NAS, YOLOv10), ByteTrack, BoT-SORT - DeepFace, FaceNet512, Dlib, RetinaFace, MediaPipe - CVAT (Computer Vision Annotation Tool), Roboflow - FastAPI, Python (NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch), OpenCV - Jupyter, Google Colab, SQL for Data Analysis, VSCode - Matplotlib, Seaborn, Plotly for Data Visualization When you work with me, you're not just hiring a technical expert—you’re gaining a partner who is committed to your success. I take pride in delivering solutions that are technically sound, practical, and aligned with your business goals. Let’s work together to create something exceptional and ensure your project's success.

Currently working as a Machine Learning Developer , making Retrieval-Augmented Generation chatbots for the clients using GPT-4 and GPT-4o-mini .Indulged in Machine Learning field for more than 2 years as of now , that led me to work in prior 2 companies working closely with the clients in projects designing MLOps pipelines as a Tech Engineer and as a Freelancer. SERVICES I OFFER: ✅ Engaging with complex datasets from sources like Kaggle ,AWS Public Datasets and UCI datasets for exploration of essential data science concepts. This process includes data cleaning, exploratory data analysis (EDA), and visualization to extract meaningful insights and train the defined supervised or unsupervised model. ✅ Using Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) in machine learning for handling structured data and image recognition, respectively. Implementing these models requires careful architecture design and optimization through backpropagation to achieve high accuracy. ✅ Creating Continuous Integration/Continuous Deployment (CI/CD) pipeline automating the integration of code changes to ensure efficient deployment to platforms like AWS EC2 and Vercel. Utilizing tools such as GitHub Actions which enhance the workflow efficiency while maintaining code quality. ✅ Building Generative AI chatbots using frameworks like LangChain, which integrates language models into applications. By employing Retrieval-Augmented Generation (RAG) techniques, these chatbots enhance their conversational capabilities with access to external knowledge bases. ✅ Mastering complex Data Structures and Algorithms (DSA) problems is essential for aspiring software engineers and data scientists. Python’s rich libraries and straightforward syntax make it an ideal language for practicing algorithm design and optimization strategies on platforms like LeetCode or GeeksForGeeks. TECH STACK I USE : ☑️ Programming Languages: Python, HTML/CSS, R ☑️ Deep Learning Frameworks/Tools: Tensorflow, Pytorch, Keras, mlxtend, Sklearn, Scipy, Seaborn, matplotlib, pandas, numpy ☑️ Gen AI : LLMs, Retrieval-Augmented Generation , FAISS ☑️ Web Framework: Flask, Streamlit ☑️ Cloud Platforms: AWS, Vercel ☑️ Database Management: SQL,NoSQL ☑️ Development Tools/Paradigms: AWS, Heroku, Git, Github Actions,MLflow, Mlops,CI/CD ☑️ IOT : Raspberry PI, Sensors, Linux Feel free to reach me. Lets get together and build something !

I develop programs related to machine learning, so I write in Python (Pytorch, OpenCV, sklearn, etc.). The main area of interest is related to the processing of photos, video, recommendation systems, but not limited to. Studied many algorithms and data structures. For example evolutionary methods, simulated annealing, signal decomposition methods, anomaly detection, decision tree forest, neural networks. In the past, the main language was Delphi (Pascal). Work in the print shop: all prepress processes, especially photo processing and newspaper layout. Many own micro-projects: generating patterns, textures, extracting data from the Internet, photo processing. Creation of several programs for the polygraphic needs, in particular Matrix - generation of security elements for security against counterfeiting.